Factors Blog

Website Account Identification with Factors.ai

Table of Contents:

1. Introduction
2. How does website account identification work on Factors?
3. How can website account identification help?
4. Why Factors?

Your B2B website is a goldmine. Here’s how you can make the most of it.

Now more than ever, B2B marketers & sales folk are being asked to do more with less. Teams are constantly on their toes trying to make limited resources stretch a long way. What’s more? As buyers become increasingly adept at spotting campaign & sales pitches from a mile away, it becomes that much harder to build new relationships from scratch.

The solution? Making the most of what you already have — like the goldmine of acccount data buried away in your website. 

Your website is arguably the most voluminous, high-traffic touch-point for B2B buyers. That being said, only about 1-5% of this traffic actually converts. So what happens to the remaining 95% of accounts you’ve worked tirelessly to drive to your site? We can’t just let all that potential pipeline slip-away, can we?

The following blog highlights how you can identify anonymous companies already visiting your site using cutting-edge account deanonymization and website  tracking technology. 

Factors.ai’s account identification tool identifies who your B2B audience is and how they engage with your brand — so you can reach out with the right message at the right time. But how does account identification work? And what makes Factors.ai the best account identification solution for B2B teams? Let’s find out. 

How does Factors work?

Account identification like Factors use reverse DNS lookup to discover companies visiting your site based on their IP addresses. In short, reverse DNS identifies the host name of a particular IP address to provide company location information. 

Factors ai matches IP data with an extensive database to identify which company visited your site as well as other firmographic features like revenue, employee headcount, industry, etc. Note that Factors is a privacy-compliant intelligence platform that does not identify, collect, or distribute anonymous user-level data.

How can account identification help?

For sales: 

1. Find ready-to-buy accounts: Accounts that visit your website are aware of your brand. And accounts that are aware of your brand are far more likely to convert as compared to those that are yet to hear of you. With account identification, sales can reach out to otherwise anonymous prospects, capitalize on an untapped pool of buyers, and prevent low hanging revenue from slipping away. 

2. Close better deals, faster: The early bird gets the worm and the early salesperson closes the deal. It’s no secret that time is off the essence when it comes to B2B sales. With Factors, sales teams can reach out to high-intent prospects before they have a chance to interact with competitors.

3. Create better sales pitches: Sales can see exactly what content — features, blogs, case-studies, use-cases etc — prospects are engaging to anticipate their needs and personalize sales interactions accordingly. 

For marketers: 

1. Delight your sales team: Make your sales team happy with a list of high-intent, high-quality prospects for your sales team to engage with. And the best part? These are leads generated with zero additional ad spend as they’re simply companies who already visit your site.

2. Understand traffic sources: Learn which channels and traffic source high-quality accounts come from. Scale the right campaigns and close the gap between impressions and revenue. This benefit is all the more pronounced when account identification is used in unison with Factors’ end-to-end attribution and journey mapping.

3. Improve website engagement: See how companies engage with content on your website and understand what topics and themes resonate most with buyers. Gauge what’s helping and hurting website conversions and optimize performance accordingly. 

4. Optimize retargeting: Once you understand which accounts are visiting your site and what they’re looking for, it becomes that much easier to retarget the right audience. Don’t waste your ad budget retargeting everyone who visits your site — just the select few who show real buyer intent. 

Why Factors?

Well, because Factors.ai is the most accurate, cost-effective, and well-integrated account identification software for B2B companies:

1. Data accuracy

Factors.ai delivers the most accurate IP-matching in the industry. In a case wherein customers provided 22,000 unique IPs (where the answers were known), different vendors were asked to match IPs with companies and provide firmographic information. Factors.ai’s cutting-edge IP-technology delivered a whopping 64% match rate and nearly 30% more matches than the nearest competitor. Factors provide a matchrate that’s 10-15% better than alternatives like Clearbit, Kickfire, and Demandbase.

2. Cost-efficiency

Factors.ai is one of, if not the most cost-effective de-anonymization solution in the industry. Learn more about our pricing here: factors.ai/pricing

3. Unified account analytics

Another benefit with Factors is the wide range of complementary features it has to offer along with account identification. End-to-end marketing analytics, revenue attribution, journey mapping and more — all of which provide a layer of depth and direction once you identify which accounts are visiting your site. Answer questions like:

• What campaigns are driving the most traffic to my website?
• What channels should I scale to improve demo conversions on my website?
• What content resonates most with my target audience? 
• How do our customers progress from impressions to revenue? 
• How does marketing performance vary by buyer persona and firmographic features?

4. Website behavior and account timelines

Along with knowing which company is visiting your site, Factors light-weight script will also shed light onto what accounts are engaging with on your site. Understand website activity — including page views, button clicks, time spent, scroll depth and more. All of this data is collected using only first-party cookies — so there’s no impact on third-party restrictions.

What's more? Factors provides intuitive account timelines and user journeys to visualize, in real-time, how accounts are progressive from awareness to intent. This is a valuable feature for B2B marketers to identify buyer intent and strike with marketing material, targeted campaigns, or a simple email while the iron's still hot.

Factors vs. Dreamdata: Pricing, features & reviews

Marketing analytics. Revenue attribution. Customer Journey mapping. Three invaluable use-cases, two all-encompassing alternatives, and one right choice for B2B marketers. 

The following blog comments on two powerful off-the-shelf B2B attribution and analytics platforms, Factors and Dreamdata, to determine why the former may be a better fit. We elaborate on key benefits and exclusives that Factors provide, which ultimately lends itself to being the preferred B2B marketing attribution and analytics solution.

‍Dreamdata Vs. Factors.ai: Common features and use-cases‍

When it comes down to it, both Factors and Dreamdata are proficient B2B attribution and marketing analytics tools. Before we pick apart some differences, let’s highlight some similarities between the two solutions:

Multi-touch Attribution

For a marketer, multi-touch attribution forms the bridge between prospects’ marketing touchpoints and deal won revenue. The purpose of marketing attribution is to help teams optimize their resource allocation and eliminate poor marketing spend. But for an attribution solution to be truly effective, it ought to be functional, adaptable and intuitive. Both Factors and Dreamdata are equipped with powerful multi-touch attribution modeling that’s capable of assigning value to touchpoint data across the funnel based on revenue impact.

Marketing analytics 

Factors and Dreamdata are versatile solutions built upon strong analytical foundations. Both B2B marketing solutions make use of performance analytics and real time event reporting to fulfill your business's tracking and analytical requirements . This would include tracking and reporting essential site metrics, paid campaigns, organic metrics and more.

Customer success

Customer success management is a crucial component of onboarding, troubleshooting, and deriving the most value from a tool. Both Factors and Dreamdata have both received high praise for their customer service in the onboarding processes and dedicated support for a pleasant experience. What must be noted is that unlike Dreamdata, Factors.ai provides dedicated support across all its plans — not only high tier ones.

Dreamdata vs Factors.ai: Pricing & Plans

Let's get down to brass tacks. First, we discuss the difference in pricing between Factors and Dreamdata. Your martech investment decision should revolve around one thing: ROI. Ideally, you’re looking for a cost-effective solution that doesn’t compromise on its service value.

Here are 4 reasons why Factors is the most cost-effective Dreamdata alternative:

1. Economical plans with Factors: As of today, Dreamdata’s paid plans start at $999/month. This is more expensive than even Factors’s higher tier growth plans ($799/month). Accordingly, Factors is generally better-suited to SME start-ups looking for a wider range of features.  
2. User seat limitation: Dreamdata has restricted user seats per tier. Starting with 5 seats, all the way up to 10 for their highest tier business plan. Factors have no user seat limitation for all tiers.
3. Limited stage models: Dreamdata offers limited user stage models, which is a filter that allows users to segment their customers or leads. Alternatively, Factors can create endless custom user stage models.
4. Dedicated support: Dreamdata’s dedicated support and onboarding is only available in their highest business tier plan. Factors.ai has no such restrictions. It offers the following benefits across all pricing plans and tiers:

1. End-to-end onboarding support
2. Dedicated customer success manager
3. Connected slack channel

In conclusion, we believe that Factors’ pricing plans are more cost-effective and accessible to that of Dreamdata’s. Despite this, Dreamdata does offer basic website analytics for free. While we don’t do this, we do offer a free 14-day trial of our entire platform.

Why B2B Marketers Love Factors.ai

This section highlights a catalog of features that cannot be found using Dreamdata and are exclusive to Factors’ users:

#1. AI-powered “Explain”

Explain is a one of it's kind AI tool that empowers marketers with automated insights into what's helping and hurting conversions. And the best part? The conversion goal is 100% flexible: demos, MQLs, newsletter downloads, web sessions, or any other touchpoint you're interested in optimizing.

Factors will then run thousands of funnel queries and rank the insights using artificial intelligence before neatly presenting them to you. These insights will be separated into columns that show positive (above average conversion rate) and negative (below average conversion rate) ratings. Each column lists different combinations of conversion paths that can be further broken down into sub insights that show even more conversion paths. 

#2. Account Intelligence

Factors partners with industry-leading data partners to provide IP-based account deanonymization. In short, this means that users can discover high-intent companies engaging with the website, product reviews, or ads — but are yet to convert. This in turn empowers efficient marketing and intent-based sales outreach.

#3. Slack and Email alerts

This nifty feature allows users to configure automated alerts that keep users up to date with their KPIs’ progress or regression over a predefined interval. Users can pick from several default KPI or use their custom built ones and apply filters for specific insights. Once this is done, users can configure a criteria for triggering the alert which can be for example, an increase or decrease by 10%. Factors will then send alerts to your slack and/or email once every interval that you select, with the last interval period serving as the comparison for your new insights.

#4. Path analysis

The path analysis feature in Factors presents a complete overview of the entire event journey and the number of prospects in the form of something akin to a tree data structure. This feature breaks down specified events into a number of steps, both of which are configurable, and will display the number of prospects within each unique event path.

#5. Auto button click tracking

Another feature exclusive to Factors in this comparison is the automatic button click tracking. As the name implies, this feature and as complicated as it is code-wise, requires no developer dependency to set up. And can ironically start tracking button clicks with the click of a button. It also displays the total number of clicks right next to each button click.

And this concludes our comparison. If you want to substantiate these claims and are interested in learning more about Factors.ai. Feel free to schedule a personalized demo.

Marketing today looks nothing like it did just a few years ago. You need to keep an eye on numerous campaigns on various channels, understand where your users are coming from, what drives them, possibilities of churn, and endless optimizations. For tasks like these, companies can’t help but rely on B2B marketing tools like Factors.ai and Bizible. 

Well-known in the marketing space, both of these tools come with a variety of capabilities and functionalities for analytics, attribution, personalization, and optimization to help B2B firms make better-informed marketing decisions. 

But how do you know which one’s right for you?

The following blog delves into the features offered by them and a comparative analysis of their respective strengths and weaknesses in the marketing analytics field. Curious how one of these tools can become part of your marketing arsenal? In this article, we’re covering everything from the features to pricing, integrations and even reviews for both Bizible and Factors! 

About Bizible

Bizible (now Marketo Measure) is a widely-used attribution tool aimed at providing B2B and B2C marketers with insights on their customer journey and revenue impact. It does so with strong touchpoint tracking and attribution modeling.

Bizible Integrations

The Adobe Marketo Measure (previously Bizible) extends its functionality to seamlessly integrate other tools to collect information on web source, medium, keyword, cookies, visitor behavior. Using this you can optimise your marketing strategies accordingly. Here are some of the tools that are supported by Bizible: 

• Microsoft Dynamics CRM (for custom objects, pre-built CRM reports, templates and dashboards)
• Marketo Engage 
• WordPress
• Salesforce Sales Cloud
• HubSpot Marketing Hub

Bizible Features

• Dedicated A/B testing integration, lets you track the revenue impact of your Optimizely and VWO site experiment. These experiments can provide insight to your marketing team to help optimize their campaigns and improve ROI.There are a few types of Marketo Measure A/B reports available to customers, which enable reporting on A/B Test results regarding leads, contacts, and opportunities.
• Dedicated Boomerang stage feature was designed to enhance visibility into the customer's journey, particularly for customers with extended sales cycles. Marketers are empowered by this feature to establish touchpoints at every stage transition throughout the Opportunity journey. For example, it captures scenarios where a contact progresses from MQL to SAL and subsequently returns to the MQL stage. This is known as the boomerang stage, or when contacts "re-enter the MQL stage" or "re-MQL." The Boomerang Stage feature seamlessly integrates with the Marketo Measure Custom Stages, working together to enhance the functionality.
  

• Multi-currency Compatibility which allows users to switch between different currencies for their reported spend and sales revenue. Currently, this feature covers  these two metrics.
  

About Factors. ai 

A compelling alternative to Bizible, Factors. ai comes into the picture as an AI-fueled marketing analytics and attribution platform that works with SME and mid-market B2B companies like Razorpay, Chargebee and Clickhouse. Not only does Factors.ai offer robust attribution capabilities, but it also provides a user-friendly interface and intuitive reporting tools. The platform is divided into 4 broad categories: 

1. Marketing and website analytics
2. Marketing attribution 
3. Journeys analytics 
4. Account identification.

Factors. ai Integrations

Factors has the ability to connect with advertising platforms, customer relationship management (CRM) systems, and customer data platforms (CDPs). Consequently, it can be used to track user actions across various touch points on a website, analyze campaign information, and even gather data from events recorded in the CRM. This comprehensive integration enables holistic analysis and reporting of data.

Factors. ai Features

Factors.ai comes bundled with unique features that aid attribution. 

1. User/account timeline: showcases all touchpoints for all users across their conversion journey over a span of time presented neatly on a timeline graph. This feature helps businesses identify valuable touchpoint data for all its users that can pinpoint every single step of every user’s conversion journey.
2. Customizable Stage Transitions: With this feature, users can track and optimize the customer journey by defining and customizing stage transitions that align with your unique sales cycles, allowing for granular analysis of each stage.
3. User-Friendly Interface: Users can enjoy a seamless and intuitive platform that makes it easy to navigate, visualize data, and access actionable insights, ensuring effortless usage for marketers of all skill levels.
4. Cross-Channel Analysis: It is also possible to analyze the performance of your marketing efforts across multiple channels, such as digital advertising, social media, email marketing, and more, to understand the synergistic effects and optimize cross-channel strategies.

How do the two compare?

Here is a table comparing the features that Bizible and Factors. ai come with:

In the next few paragraphs we will look at their strengths and weaknesses when pitted against each other with respect to integrations, attribution, onboarding and implementation, reporting quality, pricing, and privacy and compliance.

1. Integration

There are some points to consider when comparing the integration features of their tools. First off, the tools that these apps integrate with, do not completely overlap. For instance, Factors. ai does not integrate with Microsoft Dynamics Integration- Bizible does, and Bizible does not integrate with CDPs, which Factors. ai does. Second, Factors. Ai offers out-of-the-box integrations while Bizible comes with high developer dependency for tasks such as tracking HubSpot landing pages or integrating with LinkedIn.

Bizible can integrate with a wide range of applications and platforms. These popular apps span across CRM, CMS, marketing automation, email marketing, advertising platforms, web and sales analytic tools. Some of these commonly used platforms are Marketo, Google Ads, WordPress, MailChimp, Outreach and SalesLoft. 

Factors. Ai can also integrate with similar ad platforms, CRMs, and CDPs. CDP helps improve data quality, identify new audiences, and connect behavioral data. At the moment, Factors can integrate with third-party CDPs like Segment. 

2. Attribution

B2B marketing attribution is like detective work for marketers, uncovering the hidden fingerprints of success. It's an process that delves deep into the influence of various marketing touchpoints on coveted conversion goals, such as demos, pipeline growth, and revenue generation. The process involves employing a variety of multi-touch attribution models to evaluate and quantify the contribution of each marketing touchpoint towards achieving these objectives.

Factors. ai and Bizible both offer marketing attribution capabilities. They share a few similarities and differences.

Channels and Subchannels

Marketing Channels serve the purpose of categorizing and organizing your marketing activities for convenient reporting in both the Marketo Measure ROI Dashboard and your CRM system. Bizible offers 40 custom channels, which can be customized and renamed according to your organization's preferences. The Marketing Channel represents the broadest level of classification, encompassing various Subchannels. These Subchannels can be viewed as the specific "type" of source through which your leads are generated. Examples of Marketing Channels include Paid Search, Organic Search, Display, and Paid Social. Subchannels play a significant role in indicating the specific version or variation of the Marketing Channel used to attract leads.

Currently, Bizible offers 40 custom channels and 200 subchannels.  Channels and subchannels in Bizible attribution categorize and organize marketing touchpoints, providing insights into the performance of different marketing sources. This helps marketers understand the effectiveness of various channels and subchannels in driving conversions and revenue, informing decision-making and optimization strategies.

A business growing at a fast pace might opt for more channels to avoid chances of narrowing attribution and analytics. Factors.ai attribution does not specifically use the terminology of ‘channels’ and ‘subchannels’ in the same way as Bizible. Instead, Factors.ai focuses on integrating various data sources, such as ad platforms, CRMs, and CDPs, to provide a holistic view of marketing performance and customer journeys. It analyzes the impact of different touchpoints and events across the customer journey, offering comprehensive insights into marketing effectiveness and revenue attribution.

Attribution models: Factors.ai has the capability to create attribution reports at both company and user levels, can track both website and non-website events, and has a customized dashboard that collects and visualizes all crucial data in one place. Factors.ai also delivers 9 attribution models that include influence, time-decay, U-shaped and W-shaped.

Bizible offers 6 different attribution models that can help marketers decide what touchpoints are impactful in the customer journey. These are Lead creation, First-touch, U- shaped, W- shaped, Full- Path, and the Custom model. 

Attribution model funnels and metrics:

Bizible and Factors. ai both provide a range of metrics and filters to analyze attribution models and measure marketing performance. Here are some of the key metrics and filters offered: 

1. Revenue Attribution: Measures the revenue generated by each touchpoint or marketing source, providing insights into their contribution to the bottom line.
2. Conversion Attribution: Determines the contribution of each touchpoint to conversion events, allowing you to understand which marketing efforts are driving conversions.
3. Touchpoint Influence: Measures the influence of a specific touchpoint on conversions or revenue, providing a granular view of individual touchpoint performance.

These platforms also allow filters like: 

1. Time-based Filters: Can be used to analyze attribution data within specific time frames, such as daily, weekly, monthly, or custom date ranges.
2. Revenue Range Filters: You can set filters to analyze attribution data within specific revenue ranges, allowing you to focus on different tiers of revenue generation.

The difference between the two lies in Factors’ AI- driven approach to provide attribution models. With this information, you can dynamically allocate credit to marketing touchpoints based on their actual impact on revenue and conversions, and also forecast future performance by availing predictive analytics. Factors. ai also emphasizes seamless integration with CRM systems and marketing platforms.

3. Onboarding and Implementation

Setting up Bizible requires some level of dependency on developers. You might also require technical support from your development team for processes like creating a custom model. As per reviews on g2, the onboarding process can take a few months to fully complete. On the whole, Bizible works as a solid attribution tool, but reviewers often report problems with the onboarding and implementation.

Factors offers a quicker onboarding process of under 30 minutes, without requiring heavy-duty technical assistance. Factors’ tracking script can be set up directly or through Google Tag Manager in only a few minutes. Find out more about the process here. In case you're facing any difficulties, you can also get in touch with Factors' customer support team available round the clock.

4. Analytics/Reporting

Bizible has a wide selection of drill-through data. You can access marketing reports on the revenue by channel, closed revenue, contacts created, opportunities created, closed deals etc. It provides snapshots of CRM at any point in time and the distribution of records across opportunity stages.

Factors.ai can also extract and analyze relevant data points to give you a comprehensive overview of your customer relationships and interactions.The snapshot provided by Factors.ai may include key CRM metrics and visualizations, such as pipeline value, conversion rates, sales velocity, lead distribution, and performance trends. This enables you to have a holistic view of your CRM data and track the progress of your sales and marketing activities.

Bizible and Factors.ai both give you the option to visualize marketing data the way you want. If you connect to a business intelligence (BI) platform, you can present data with more flexible visual options. Standard metrics like bounce rates and monthly visitors are available on both Factors and Bizible, when integrated with data analytics platforms. 

5. Pricing

Bizible's pricing information is not available on their website. That said, according to reviews online, Bizible is 5% and 6% more expensive than the average attribution production, for small and mid sized businesses respectively. 

This is not very convenient for SMEs and startups. However, according to GetApp, Bizible scores high with 4.8 out of 5 stars on the value of money rating. They allow a maximum of 25 users per plan. It is important to note that this number can vary with lower plans. 

Factors. ai pricing is geared to cater to startups and SMEs. Their high tier growth plan is more affordable for these businesses and comes with customer support and functionality. They also offer specific plans that are purpose-built for your business’s unique analytical and attribution requirements. They also allow unlimited users per plan. 

What is the right option for you?

Ultimately, the choice between Bizible and Factors.ai depends on your specific requirements and priorities. Bizible may be a good fit if you prioritize strong touchpoint tracking and existing integrations with tools like Microsoft Dynamics CRM and Marketo Engage. Furthermore, Bizible pricing is considered appropriately priced by users. On the other hand, Factors.ai offers AI-driven attribution models, customization options, and a user-friendly interface, making it a compelling option for those seeking a more agile and appropriate solution for startups and SMEs.

Consider your business's needs, budget, and desired features to determine which platform aligns best with your goals and will empower your marketing team to make better-informed decisions. The choice between the two depends on the specific requirements, the importance placed on factors such as AI-driven attribution, customization, predictive analytics, and user interface. Evaluating these differences can help determine which platform better aligns with your organization's marketing measurement requirements in terms of attribution modeling and the depth of integration needed. If you’re interested in seeing how Factors.ai could align with your business, schedule a personalized demo here. 

Wondering how Factors fares against other top analytics tools? Here are some quick reads: 

1. Factors vs Google Analytics
2. Factors Amplitude
3. Factors vs Dreamdata
4. Factors vs HubSpot Analytics

All our homies LOVE HubSpot. No doubt, it's a reliable CRM and marketing automation platform. In fact, Factors.ai integrates seamlessly with HubSpot to deliver full-path analytics and attribution across campaigns, website, and CRM. That being said, HubSpot’s own in-platform analytics and attribution engine, is fraught with serious limitations. The following article highlights these issues with HubSpot — and how you can overcome them with Factors.ai. Ultimately, we find Factors.ai to be a far better fit for data-driven B2B marketers.

Before we jump into the limitations of HubSpot analytics and attribution, it’s only fair to address a couple of positives. Although premium reporting (advanced analytics, revenue attribution, etc) is only available on HubSpot’s enterprise plans, it delivers a robust range of multi-touch attribution models in a simple, user-friendly framework. Additionally, if your company uses HubSpot CRM, MAP, and life cycles stages religiously, HubSpot could possibly be an effective all-in-one solution for reporting. As we shall now see, however, most teams do not use HubSpot in the dedicated manner that’s required for it to function well.

Limitation #1: Rigidity & Inaccuracy

1.1. Fixed Lifecycle Stages

One glaring limitation with HubSpot’s in-platform analytics solution is its rigidity around the sales funnel — and especially its life cycle stages. HubSpot analytics only offers fixed definitions for events and stages along the customer journey — Subscriber, Lead, MQL, SQL, Opportunity, Customer, and Evangelist. Now, this set of stages may fit in perfectly with your organization’s funnel structure; but in reality, most B2B teams follow unique customer stages based on the nuance and particulars of their business model. B2B SaaS firms for example, may care about including a “Demo Done” stage to flag high intent leads. HubSpot’s analytics engine does not provide the flexibility to include, or even edit lifecycle stages to match this preferences. 

If your team does not adhere to HubSpot’s predetermined structure, Factors.ai may be the right fit for you. On Factors, users have limitless flexibility to set, track, and analyze their own internal life-cycle stages.

1.2 Inaccurate Lifecycle Stage Tracking

In continuation with the previous point — not only is HubSpot’s lifecycle stage tracking rigid, it’s also blatantly inaccurate. Rather than considering the leads in lifecycle stage “B” to be a subset of the previous lifecycle stage “A”, HubSpot only counts the contacts in a particular stage at that point in time. Here’s an example to illustrate:

Say you have 50 leads tagged MQLs. 20 of them become SQLs. This, of course, does not mean that you now only have 30 MQLs. Rather, it means that the set of 20 SQLs are a subset of the total set of 50 MQLs. 

This is a major issue with HubSpot analytics — leading to inaccurate readings, insights, and ultimately; marketing decisions. Rest assured, Factors.ai ensures no such fallacies in logic. You can also guarantee a far wider range of filters, breakdowns, and visualization techniques on Factors.ai as compared to HubSpot analytics. 

Limitation #2: Attribution Troubles

2.1 Campaign Attribution

It’s impossible to create attribution reports on HubSpot at a keyword level across campaigns and ad groups. If you want to look at keyword level attribution reports on HubSpot, you’ll need to examine keywords within a specific ad group from a specific campaign. Why is this an issue? Well because a specific keyword can (and usually does) belong to multiple campaigns

On Factors, you can do what HubSpot attribution does AND look at keyword attribution reports across campaigns and ad groups for granular, and more importantly, accurate insights.

2.2 Attributing Offline Events

Offline touchpoints are those touchpoints along the customer journey that cannot be tracked digitally. These include outbound emails, webinars, in-person events, corporate gifts, etc. While HubSpot does enable you to document these “events”, it is not possible to analyze or visualize them within HubSpot analytics. As a company scales, it’s likely to have a good combination of digital and offline touchpoints, making it imperative to account and analyze for both in union. 

Factors.ai makes it possible to track, analyze, and attribute offline touchpoints by fetching contact tags and UTMs. These touchpoints are also completely customizable with no-code. Needless to say, unlike Factors.ai, HubSpot does not enable users to attribute custom properties, events, or KPIs. 

2.3 Comparing Attribution Models

Factors.ai is one of the few attribution solutions that allows users to compare attribution models against each other. B2B sales cycles can be complex, and the ability to compare results across first-touch and multi-touch models gives marketers an unequivocal advantage in identifying trends accurately. Unlike Factors.ai, HubSpot does not offer the ability to compare attribution models. 

Limitation #3: Lack of Granularity 

Another major drawback with HubSpot analytics & attribution is that it considers lead source only at a channel level. That is, lead sources may be viewed as “Organic”, “Paid ads”, “Social” and so on. We all know that the devil’s in the details — and channel level data simply will not cut it in this day and age. How is one to know which campaigns or content to scale, if they are unable to view performance data for the same? Factors.ai is all about granularity. We ensure detailed analytics at a channel, campaign, ad group and keyword level to help you make the best possible marketing decisions. Our extensive line of no-code integrations across the most popular ad platforms guarantees a proper data-driven marketing experience. 

Limitation #4: Data Integration Woes

So here’s the thing: you can integrate HubSpot with third-party data-sources, including other CRMs like Salesforce — but it’s no easy task. It requires tedious onboarding, strict vigilance, and developer dependency. You need to make sure all your sales data is either on or linked to HubSpot. If you use a combination of HubSpot and Salesforce or LeadSquared or Marketo, a platform like Factors.ai would make your life a lot easier. IF, however, you religiously use HubSpot exclusive products — CRM, MAP, Website, etc, then HubSpot may be a more convenient option for you.

Limitation #5: It’s The Little Things…

By design, Factors.ai is a robust, intuitive marketing analytics, attribution, and journey mapping platform. Above all, we pride ourselves on delivering the best possible experience to our users. This entails end-to-end onboarding support, sustained customer success management, and smooth, reliable performance. The same, unfortunately, cannot be said about HubSpot analytics. 

Here’s why Factors.ai has the edge over HubSpot when it comes to user experience:

1. HubSpot imposes limited users or seats per hub. Factors grants unlimited seats, free of charge. 
2. HubSpot requires tedious, developer dependent onboarding and training over several weeks, if not months. You can get started with Factors.ai in 30 minutes.
3. HubSpot charges an independent fee for tech support. Factors.ai is an extension of your team — with dedicated customer success management guaranteed.
4. HubSpot aggressively up-sells its features to nickel and dime existing customers. Factors.ai recommends tailor-made plans based on the scale and growth of your team. 

And there you have it. Still curious to learn why Factors.ai would be better suited for your B2B team over HubSpot Marketing Hub? Book a personalized demo here to see our work in action.

According to Hubspot, marketers spend nearly 210 minutes a week analyzing data from different sources. What’s interesting, though, is that marketing professionals often struggle to determine the channels that facilitate customer journeys to fuel pipeline and revenue.

Coincidence? No.  

With a gamut of channels, touchpoints, platforms, and campaigns running simultaneously, it becomes difficult to determine which marketing strategy brings value to the table. 

Especially in the case of B2B marketing, multiple online & offline channels are involved. For instance, online channels involve social media, content, email marketing, etc., whereas offline channels include ebooks, webinars, workshops, meetings, etc.  

Thankfully, marketing attribution reporting can effectively solve this problem and assist businesses in shifting from intuition-driven strategies to customer-centric and data-driven strategies. 

Attribution reporting allows marketers to do an in-depth analysis at a granular level and give a clear picture of the direct impact of marketing strategies and tactics. 

Read our blog to understand exactly what attribution reporting is and what you can learn from marketing attribution reports to put your revenue growth on the fast lane . 

Let’s get started! 

Table Of Contents

• What Is Attribution Reporting? 
• Why Use Attribution Reporting And When To Use It? 
• What You Can Learn From Marketing Attribution Reports?
• How Can Organizations Leverage Attribution Reports To Skyrocket Their Conversions?
• Bonus Information: What Is The Attribution Window 
• Wrapping Up
• FAQs

What Is Attribution Reporting? 

Attribution reporting gives you a bird's eye view of the path your customer took before converting. Moreover, it also gives an in-depth insight into how different marketing efforts have cohesively worked to fuel conversions. 

Attribution reporting will help you to determine the following. 

• From which channels are the customers first becoming aware of your brand?
• Which campaign is driving the maximum demo form submissions or signups?
• Which piece of content/ad are they interacting with between opportunity creation and closed-won?
• Provide an actionable view of the buyer’s journey across multiple stakeholders who interact with multiple touchpoints over many months. 
• A transparent overview of the channels to generate leads, nurture them and finally convert.
  

You can leverage many attribution models to create a comprehensive report, such as first interaction, last interaction, linear attribution, etc. Attribution reporting gives crystal clear insights into the specific parts of your strategy and helps you highlight the areas that need improvement. 

All in all, marketing attribution reports summarize your customer journey data by building a timeline of touchpoints at a user and account level, combine that with vital channel metrics such as impressions, clicks, and spending and visualize the insights into a cohesive and effective report

Why Use Attribution Reporting, And When To Use It? 

One of the most rewarding aspects for a marketer is to see the successful result of their efforts. Once you start noticing the number of conversions from a strategy you have implemented or a piece of content you have posted, you know you have done your job right. 

But getting conversions is just one part of the job! The most gratifying part is to be able to measure and correlate the amount spent with the business ROI. 

This is where attribution reporting comes into play. 

An attribution report is nothing but a presentable outcome of your customer journey and campaign data. Therefore, an attribution report is only as valuable as the underlying data itself. Within your Marketing Strategy, attribution fulfills the need to optimize your marketing spending, allocate resources better, scale the right initiatives, and track channel performance.

That being said, you wouldn’t want to rely on a false source of optimization or, worse, vanity metrics to determine your marketing strategy. Attribution reporting provides you a credible foundation to build a data driven marketing execution engine.

Unlike a marketing team’s requirements for tracking KPIs, which tend to be an everyday ordeal, the frequency of usage of attribution reports is determined by the following factors

• How frequently are the campaigns optimized?
• What is the conversion cycle length from first touch to revenue
• What is the cadence of executive reporting for the CMO
• How frequently are budget re-allocation decisions made at your company
  

What You Can Learn From Marketing Attribution Reports?

Here are the learnings you can expect from marketing attribution reports. 

1. Better Comparison With  Model-Based Information

Companies increasingly use a multi-channel approach to educate and inform their target audience based on their preferences.  However, when too many channels are in action, it becomes challenging to determine which channel contributed the most to pipeline and revenue. 

Attribution reporting allows marketers to determine the contribution of each channel based on the chosen model and compare the results of different types of attribution models to make your investment decisions. For example, an Influence attribution model shows the amount of pipeline and revenue influenced by each campaign or content, whereas a First Touch Attribution report only credits the campaign or content for the revenue where it was the very first touchpoint.

Further, the conversion goals in attribution can be set as Top of the Funnel KPIs such as Leads, Demos or Mid Funnel Metrics such as MQLs, SQLs or Bottom of the Funnel metrics such as Pipeline and Revenue, helping Marketers understand the influence of each channel at various stages of the funnel. 

If you are a Saas company with both a PLG flow (SignUp and then Product Milestones) as well as a sales-led flow (Demo and then Opportunity Creation), you can use attribution analysis to understand which channels are most effective for each of these go to market models.

2.  Get An Overview Of Baseline Metrics

Baseline Metrics within Attribution provide a channel-level overview of investment metrics such as Impressions, Clicks, and Spending, along with platform-specific metrics such as Keyword Match Type, Search Impression Share for Google Ads. 

Attribution reporting tools aggregate these investment metrics across channels, enabling a Marketer to understand how much are they spending by a campaign, Ad group, creative, and keyword. Using these insights, Marketers can get a complete view of the performance metrics for each Campaign.

3. Analyze Conversion Metrics

A good attribution report combines the baseline investment metrics along with conversion metrics across the funnel such as leads, demos, SQLS, pipeline, and revenue. This helps Marketing teams move beyond measuring marketing efforts on metrics such as leads and get an accurate understanding of the impact on pipeline and revenue.  

Based on this information, you can assess the following:

• How many leads does each channel or campaign generate?
• How many of these leads are then converted to demos and sales-qualified leads by the campaign?
• How much pipeline and revenue were influenced by each of these channels or campaigns?

4. To Get Clarity On ROAS 

ROAS (return on ad spend) is a crucial metric that is used to measure the total revenue generated on every dollar spent on marketing. By bringing together the investment and conversion metrics, Attribution Reports highlights the profit margin and ROAS at a campaign, ad group, creative, or keyword level.

Companies may define different ROAS thresholds based on the type of campaigns - such as Product Feature Promotion, Competitive Takeout, and Brand Building. Also, depending on whether the campaign is more experimental (entry into a new product category or new geographic territory) or a well-established one, the ROAS thresholds may be different. Granular ROAS data allows marketers to make data-informed bidding decisions resulting in cost savings and improvement in return metrics.

5. Non-Paid Channels vs Paid Channels

It has always been a struggle for Marketers to determine whether paid or non-paid channels help accelerate your sales. However, attribution reporting gives you an extensive overview of different channels (such as Paid Search, Social, Referrals, Review Sites, and Organic Content) and their contribution to pipeline and revenue.

For instance, Let’s assume your business is active on LinkedIn and drives traffic from the platform through posts and ad campaigns. But when a lead is converted through LinkedIn, you will need to know which tactic contributed to the result - Was it the organic posts or ad campaigns? 

With attribution reporting, you can determine whether the lead got converted organically from the posts you shared or the ads campaign you are running or whether both tactics played a part in the conversion. 

A distinction between direct and non-direct sources of traffic helps identify your PPC leads and your organic ones. This, in turn, helps both the paid marketing teams and the content marketing teams optimize their execution strategies.

6. Attributing Sales Funnel

Attribution reports also enable Marketers to go beyond a single conversion goal and visualize the entire marketing and sales funnel (Leads, Demos, SQLs, Pipeline, and Revenue) at a channel, campaign, or ad group level. 

Armed with this data, Marketers can get a sense of the conversion rates by channel for each stage and focus their efforts accordingly.

7. Get A Clear Picture With Data Visualization

Lastly, because the Attribution Reports and underlying data are exhaustive and cover the entire customer journey and channel mix, it may feel a bit daunting to analyze this data solely in tabular form. 

The report can include dimensions such as keywords (and associated metadata such as keyword match type), ad groups, campaigns, campaign themes, and channels, as well as metrics such as spend, impressions, clicks, CTR, and conversion metrics as well. 

Phew.. - quite a handful to analyze this table of 15+ columns and 100+ rows to unearth actionable insights. This is where intuitive visualizations play a role in facilitating a better understanding of the data through formats such as scatter plots, bar charts, and line vs bar visualizations.

Further, an AI-powered attribution tool like factors.ai  is capable of offering augmented features in a report, such as recommendations on campaign bidding, trends in cost per MQL and SQL, and much more) 

How Can Organizations Leverage Attribution Reports To Skyrocket Their Conversions?

Now that you know what you can learn from attribution reports, we will take you to the next step. After doing an in-depth attribution analysis, now is the time to take some steps to accelerate the momentum of the conversions. 

Following are some ways organizations can leverage attribution reports:  

1. To Create A Result-Driven Content Strategy 

A crucial part of online marketing is creating a content strategy to ensure that the content created will be focused on the customer journey stage they are in. 

With attribution data, marketers can get an overview of the entire customer journey and leverage it to build a result-driven content strategy. 

2. Where Should You Expend Your Marketing Efforts? 

We all know attribution reporting gives deep insights into which channels drive conversions and users. Therefore, we can focus on those specific channels and generate maximum leads.  

3. To Fully Understand The Customer’s Journey 

You may know which channel drove the conversions, but you should also know about the touchpoints your customer interacted with before converting. 

Attribution reporting has the capability to do so, and therefore, it allows you to fully understand the customer’s journey right from the start till the end. 

Understanding this will allow you to create more effective strategies and journey paths that are aligned with buyer preferences.

Bonus Information: What Is The Attribution Window? 

An attribution window, also known as a conversion window, is the timeframe within which conversion will be attributed to a touchpoint. In layperson’s words, it can be defined as a time frame between which a potential lead viewed/clicked on your ad/piece of content and later performed your desired conversion action

 For example, suppose your attribution window is 20 days. In that case, any touchpoints (like users interacting with your landing page) incurred by prospects will only be linked to a conversion (actions like a demo request) if it occurred within 20 days of the touchpoint. Attribution windows also help distinguish your fresh leads from your re-engaged ones and hence remove the impact of interactions that happened a while ago.

The total number of conversions can be skewed if you don’t set the right attribution window. If you look it up, they’re different recommendations on setting an attribution window. Some recommend as little as 7 days, while others suggest 90 or 180 days. 

Setting the attribution window is largely dependent on the expected conversion cycle from first visit to revenue as well as the internal understanding among Go to Market teams (Sales and Marketing) on what would be the appropriate conversion window. Our recommendation would be to compute your average conversion cycle based on historical data and set double that value, post aligning with the sales team.

Wrapping Up

Without a doubt, we can say that attribution reporting is the most effective way to understand and measure the impact of Marketing Efforts on business outcomes. Insights generated from marketing attribution can become your most valuable asset to drive maximum ROI. 

When picking a solution to power your Attribution reporting, you want the best of the best. So keep your eyes peeled for solutions that offer capabilities such as:

• Bring in touchpoints from across data sources - such as website events (digital marketing)and offline touchpoints (webinars, events, e-books, sales calls, and meetings)
  

• Attributing your entire marketing and sales funnel stages and rather than focusing on a single conversion point such as Leads.
• Present both baseline investment metrics and conversion metrics, with the computation of ROI at a channel, campaign, ad group, keyword, page URL, or Theme level.
• Has advanced features to distinguish between new business vs expansions or new leads vs reactivated ones.
  

Opting for a solution that has these capabilities and more can take your attribution reporting to the next level.

Get started with attribution reporting with Factors.ai 

Factors.ai is an AI-empowered attribution reporting tool that helps you to fuel your marketing efforts by effectively comparing and customizing attribution models to generate a clearer picture based on metrics. 

Factors.ai has the capability to create attribution reports at both company and user levels, can track both website and non-website events, and has a customized dashboard that collects and visualizes all crucial data in one place.

If you’re interested in taking your business to next level by analyzing your marketing efforts with robust multi-touch attribution modeling and deep data-driven insights to make an informed decision then, schedule a demo and start for FREE at factors.ai.

FAQs ‍

1. What does attribution mean in marketing?

In marketing, attribution refers to the process of identifying and assigning credit to the various marketing channels and touchpoints that contribute to a conversion [or any desired action]. 

By understanding the effectiveness of these different marketing channels, businesses can optimize their marketing budget and resources to maximize their ROI.

2. Why is attribution reporting important for marketers in 2023? 

Attribution reporting provides a holistic view of how different marketing channels work together to drive conversions and revenue. It enables marketers to see which channels drive the most conversions and revenue and which are driving the most users to their website or mobile app. 

With this information, marketers can make more informed decisions about where to allocate their marketing budget and resources.

B2B marketing strategies that maximize growth

B2B marketing may be in trouble. Research suggests that B2B organizations are inadvertently transforming marketing into a supporting tool for the sales function. In reality, however, marketing is at the very core of a business. With the right principles securely in place, B2B marketing may well transform into the growth engine of B2B organizations. 

It’s about time we rethink the principles of marketing 

Linkedin’s B2B institute recently conducted wonderful research using B2B effectiveness data in collaboration with Peter Field, Les Binet and the IPA. The primary motivator of this research was to identify the best marketing principles that correlated with growth. Keep in mind that in this case, growth does not mean improving CTR, impressions, engagements or other traditional digital marketing metrics. Instead, we’re referring to growth in terms of market share, revenue, profitability, and other bottom line business metrics.

What makes this research especially special is the fact that it's never been done before through the lens of B2B marketing. That is, of course, until now. The following series will delve into each of these principles one article at a time with hopes of providing an intuitive, straightforward explanation of cutting-edge B2B marketing research.

If you had to take away one thing from this series, it’s this:

Extensive research and anecdotal evidence point to one thing — The key to marketing-sourced growth is balance. While this may seem obvious, the truth is that modern B2B marketing is almost always unbalanced. They tend to involve solely short-term, volume-based endeavors that play to logic and reasoning as opposed to a balanced view of short AND long term strategies that consider volume AND price, logic AND emotion, awareness AND fame. 

With that out of the way, let’s finally move on to the first principle of B2B marketing strategies that maximize growth.

Brand Building Vs. Sales Activation

A. Have Your Cake & Eat It Too:  Brand Building and Sales Activation I

In their research, Binet and Field identify two types of marketing: 

1. Sales activation: Sales activation definitely provides short-term growth. But while sales activation captures existing demand, it does not create it. Results with sales activation often produce results that decay just as fast they appear – which isn’t necessarily a bad thing, just something to keep in mind for the long term.

2. Brand building: Brand building provides long-term growth. In a sense, this creates and captures demand together. Note that when executed well, brand building delivers short-term growth as well. So the big takeaway is that you don’t have to pick between one or the other. In a sense, brand building contributes to future demand to ensure a durable pipeline of future sales and profits.

Ideally, a combination of both types of marketing will yield the best results. If you had to pick one, however, the choice is easy. Brand building is the only strategy that delivers both short-term and long-term growth. 

B. The 60/40 Rule: Brand Building & Sales Activation II

In B2C marketing, organizations with the most short-term and long-term growth spend most of their budget towards branding (60%) as opposed to sales activation (40%). In most B2B orgs, this marketing investment is skewed in the opposite direction; with most spend being allocated towards activation (54%). 

What might explain this variation? Put simply, B2B sales is harder. It involves several touch points across several stakeholders over several months. It also necessitates far more exposition around the product, use-cases, functional benefits, and more. There’s no doubt that in B2B, sales activation, especially in early-stages, has an important (albeit expensive) role to play. But as the novelty and needs of a new business fades, marketing needs to mature towards a brand-focused distribution to ensure sustainable growth.

C. Flip The Funnel: From ToFu/BoFu To In/Out Market

The funnel is a well-known construct in B2B marketing. The conventional B2B funnel depicts a voluminous top-of-the-funnel that wittles down along each step of the funnel towards the bottom of the funnel. Interestingly, Binet and Field suggest flipping the funnel. Rather than ToFu and BoFu, they recommend thinking of the funnel as “in market” buyers and “out market” buyers. In this case, activation spend is mostly for limited market  buyers while branding spend is for the much larger, out market buyers. 

This approach tends to be more customer-centric because:

1. Customers don’t think of themselves as being in the “brand building” phase or “sales activation phase”. Instead, customers think of themselves as being “in-market” to buy a product or “out-market” to not buy a product at this moment. 
2. Marketers have two customers: Your external customers and your internal finance team. Thinking about the funnel as current cash flow customers and future cash flow customers will help align marketing with the CFO or finance team as well. 

D. Different Stroke For Different Folks: 

Of course, in-market buyers are inherently very different from out-market buyers. This necessitates different approaches for creative, distribution, and measurement.

For in-market approach:

• Rational Messaging - for immediate ROI and value
• Narrower targeting - for a narrower market
• Sales metrics - revenue and pipeline are the most relevant KPI for in-market

For out-market approach: 

• Emotional Messaging - for long term brand retention
• Broder targeting - for a larger market
• Memory metrics - brand sense is an example of a relevant memory metric 

And there you have it. The first principles delved deep into the pros and cons of Sales Activation and Brand Building. While employing both approaches in unison are crucial to long-term success, the verdict is that, at the end of the day, the goal should be to prioritize brand building. We also highlight an unconventional perspective of the good old sales funnel. Join us next week to go over the second principle: Awareness vs Fame.

Ever poured budget into campaigns, only to wonder which one drove results? For B2B marketers, this isn’t just a frustration but a roadblock to smarter decisions. With long sales cycles, multiple stakeholders, and countless touchpoints, it’s tough to know what’s really working. That’s where marketing attribution earns its place.

According to a study by Gartner, B2B buyers spent only 17% of their time meeting with potential suppliers and merely 5-6% of the entire time with the sales representative of each vendor. This means that the sellers have little opportunity to influence the buyer's decisions.

Buying decisions in B2B typically involve six or more individuals. And they prefer to do their own research instead of relying on the vendor's sales team. Their research includes industry publications, blogs, case studies, pricing, and customer reviews put out by the vendors. They often engage back and forth, moving from your website to your competitors. They take their time, compare, and decide on the best choice.

Hence, the interaction with the sales rep usually happens late in the buyer's journey. Marketing hence plays a much larger role in influencing the buying group's decision.

The back-and-forth engagement also results in multiple touchpoints across many channels. And by using marketing attribution models, a marketer can determine which touchpoints contribute to the conversion.

Many B2B marketing attribution software has emerged in recent years. But the big question is, how can these help? Why is it important for marketers? And which models should your marketing team be using?

This guide will explore the details of B2B marketing attribution. It will give you the knowledge and tools to handle this complex area. Whether you're new to this or want to improve your current strategies, learning about marketing attribution is key for any B2B marketer who wants to grow and succeed. Let’s get started!

TL;DR

What is Marketing Attribution?

Marketing attribution determines what marketing actions help a business reach its goals, like getting leads or growing revenue.

Suppose you're a marketing manager for a software firm. Your goal is to get more leads and earn more revenue.

To do this, you use various marketing channels such as Google search, organic search, LinkedIn ads, and so on. Meanwhile, the sales team contacts potential customers through emails and calls.

However, it can be challenging to know which channels work best and which need improvement. This is where marketing attribution comes in.

Attribution software acts like a GPS for your marketing efforts, helping you track the performance of every channel and campaign.

For instance, say your LinkedIn ads get the most leads, but your webinars don't perform as well. You can see this with the help of attribution software and change your strategy. Instead of putting more investment into an ineffective channel, you can focus on the channels that bring in leads and revenue.

Attribution shows which channels, messages, and interactions influenced a lead, moved them down the funnel, or closed the deal. The main goal of attribution is not to prove the marketing team's value but to help the team improve their efforts and get better results.

What's the difference between marketing attribution, revenue attribution, and digital marketing attribution?

‍When it comes to attribution, chances are you've come across a whole range of terms—namely, the following three.

1. Marketing attribution
2. Revenue attribution
3. Digital attribution
   

Well, be relieved to know that all these terms virtually mean the same things. They simply differ in terms of context. 

Marketing attribution refers to the process where you can quantify the influence of your channels on business metrics such as meetings, pipeline, and revenue. 

Revenue attribution is identical in essence but has a slightly different perspective. Here, the focus is more on assigning value to channels to estimate their revenue impact. 

And finally, digital marketing attribution is centered around attributing digital touchpoints. It exclusively focuses on the digital customer journey. 

Why is marketing attribution important (and useful)?

Have you ever heard the saying, "you can't manage what you can't measure"? Well, that's exactly what marketing attribution is all about.

Imagine a company, ABC, that sells enterprise software solutions to other businesses. The company has a sales team, a digital marketing team, and a trade show presence to generate leads and close deals. The sales team receives leads from a variety of sources, including:

1. The company's website through a contact form
2. A trade show where the company had a booth
3. An email campaign sent to target prospects
4. A referral from a satisfied customer

In this scenario, it's important for ABC to understand which campaigns are driving the most conversions. This way, they can allocate their budget and resources more effectively.

For example, let's say the company's sales team closed a deal with a lead that came from the trade show. It's difficult to determine whether the trade show was solely responsible for the conversion or if other marketing efforts also played a role. This is where B2B marketing attribution comes into play.

With marketing attribution, ABC can identify the marketing touchpoints that drove most conversions. This further allows the company to see which marketing channels are the most effective in driving sales. 

The tool helps the company to measure and attribute the success of your campaign and optimize and improve your strategies.

What are the functional benefits of marketing attribution?

1. Marketing ROI Optimization

With marketing attribution, B2B teams achieve a better and broader picture of each channel's cost-to-revenue ratio or ROI.

By understanding every channel's influence on lead conversion, pipeline, and revenue in relation to their cost, you can effectively quantify marketing performance. Ultimately, this leads to our next point — prudent marketing investment and spending.‍

2. Improved Marketing Spends

Using marketing attribution can make a significant impact on your marketing investment. This is because it provides crucial information about the performance of different marketing channels and tactics. Armed with this information, you can optimize your spending to achieve the end business objectives. Instead of distributing your investments evenly, you can double down on the channels that are actually performing better.

Consider this example. Imagine you have $10,000 to spend on a marketing campaign. Without attribution, you might split the money evenly between different channels. But with attribution, you might find that Linkedin conversational ads work best and are responsible for 80% of your conversions. So, in this case, you could put 80% of your budget towards Linkedin conversational ads and the rest towards other channels.

In short, marketing attribution helps you make decisions based on data instead of guessing. By knowing what's working, you can spend your money in the best way possible and get the biggest return on your investment.

3. Attribution and Content Marketing

Content marketing remains the best way to communicate effectively with customers and educate them about your offerings. And with the help of marketing attribution, you can take content marketing to the next level.

How?

Your content should engage with the target audience and drive demand for your products/services at every stage of the buying journey. For that, you need to create content that's tailored to your Ideal Customer Profile (ICP).

Marketing attribution plays a crucial role in this process. It provides insight into which content resonates with your audience and leads to more conversions. Traditional CRM and MAP systems credit conversions to content only by a First Touch model (if the content was the first interaction the prospect had), which can be very misleading. 

You can also track how different pieces of content contribute to your pipeline and revenue. This allows you to optimize your content strategy.

For example, you may find that a particular blog post is driving a lot of traffic to your website but is not resulting in any conversions. In this case, you can analyze why this is happening and make changes to the content to increase its effectiveness.

Keep reading to learn more about the ROI of B2B content.

4. Mapping Out The Customer Journey

The use of attribution isn't limited to understanding channel influence on conversion. It's also a powerful tool to make sense of marketing's impact across each step of the funnel.

You can use it to identify the relationship between channel interactions, which touchpoints work together, and their relative probability of occurrence down the funnel. All of which help you map out your buyer's typical journey.

Marketing attribution models

Attribution models allow you to understand the different touchpoints in the customer journey and how each of them influenced your prospect to convert. The main goal of attribution models is to help marketers determine their campaigns' performance

For example, consider the following. 

A customer reached your website through a LinkedIn ad. Then, the customer further engages with your website content, like blogs and case studies, before becoming a lead. And finally, they are converted (booked a demo) after clicking on a retargeting ad.  

Now, depending on your business goals, the attribution model you choose assigns credit to different touchpoints. 

If your objective were to create awareness of your brand or product, the credit would be assigned to the first touchpoint. In this case, the LinkedIn ad. But if you were looking at conversion alone, the credit will be given to the last touchpoint, which is the retargeting ads. 

There are other scenarios too, where you assign credit to multiple touchpoints. But as we said, it depends on your business objective.

With that said, there are mainly two types of attribution models.

1. Single touch models
2. Multi-touch model

Types of attribution models

Single-touch 

As the name indicates, allocate the credit to a single touchpoint. Some types of single-touch attribution models are;

1. First touch 
2. Last touch
3. Last non-direct touch 

These types of attribution models are used mainly by businesses with a clear and straightforward marketing funnel and want to track the impact of specific touchpoints on conversion

Multi-touch

Again, as the name implies, multi-touch models allocate credit to multiple touchpoints in the customer journey. The main focus of this model is to give a more accurate picture of your marketing channels' impact on conversion.

Some of the types of multi-touch attribution models are:

1. Linear attribution model
2. Time-decay attribution model
3. U-shaped attribution model
4. W-shaped attribution model

Here, take a look at our take on the seven types of attribution models with examples that can help you understand the attribution models better. 

So, how to choose the suitable model for your business?

Choosing the right model for your business can be a challenge. As the saying goes, ‘all models are wrong, but some models are useful. But it's essential to select the one that helps you answer the specific questions you have in mind.

With that said, let's look into the factors that affect choosing the model and how to select the right one for your business.

Some factors that affect the choice of attribution model are as follows.

• The nature of the buyer journey cycle - This includes the length of the sales cycle and the number of decision-makers.
• The nature of the product. Does the product belong to an established category or a new one?
  

Here are seven steps to help you choose the right attribution model: 

1. The first and foremost thing to do is to understand your business goal. Ask yourself, "What do I want to achieve with attribution modeling?". The answer can help you select a model that aligns with your business goals.
2. Speak with your customer to understand their customer journey and the touchpoints involved. Anecdotal assessments of how each touchpoint contributed to conversion can help you select an appropriate model.
3. Evaluate different attribution models. Compare the strengths and weaknesses of each model and see how they align with your business goals.
4. Do A/B testing. Test each model and compare the results. This will give you a better understanding of the model that will work best for you.
5. Some attribution models require more data than others. So, consider the data you have and select the model that aligns with the data you have.
6. Constantly review and adjust the models. It's crucial to ensure that your model is relevant and accurate. So, as your business grows and evolves, you should review the current one and make the necessary changes.
7. Evangelize the results of the selected attribution model and get buy-in from relevant teams - field marketing, digital marketing, and sales so that all equally accept the results from the model you select.
   

Common challenges with marketing attribution

Whilst the benefits of attribution analysis are clear and unquestionable, there are certain challenges and limitations which need to be highlighted. We will briefly discuss a few B2B attribution challenges here. You can follow up on the link to learn more about the B2B attribution challenges and how to overcome them. 

Complex customer journey: 

B2B customers often go through a lengthy and intricate buying process. There is usually a group of 4-6 people researching and deciding between vendors before moving to purchase. Not to mention the multiple touchpoints across many channels that influence decision-making.

Marketers can't determine which touchpoints are affecting the sales pipeline and revenue without proper attribution. This makes it hard to track the success of their campaigns and make improvements.

However, attribution makes it easier to see all the touchpoints, even if the customer journey is complex. Also, when choosing an attribution software, ensure that it includes the deanonymization feature. This can help track the entire journey of all the buying committee members, even if they browse anonymously. 

Longer sales cycle:

B2B purchases require a significant investment. Hence the decision-making process is more rigorous and complex than B2C sales. On top of that, there are contractual agreements, regulations, and budget approvals that further add up the time. 

According to Klipfolio, around 75% of B2B companies take an average of 4 months to onboard a new customer. And depending on your sales process, the time can be longer or shorter. 

Because the B2B sales cycle is complex and lengthy, it can be difficult to find out which touchpoints influenced the prospect to convert. Moreover, it can take months or years to see the results of your marketing activities. Thus, making it harder to attribute the conversion to a specific campaign. 

By using multi-touch attribution models, marketers can understand the impact of their campaigns. This would help them prioritize marketing investments and create a more engaging customer experience. 

Multiple touchpoints:

Customers often interact with your company through multiple channels before purchasing. These can be both online and offline interactions. Also, a customer can engage with your company at different stages of the buying journey. 

 For example, a customer may receive an email about a product. They then visit the company's website for more information, only to later attend a trade show and have a follow-up conversation with a sales representative. Each touchpoint could have a different impact on their decision-making process.

But, determining which touchpoints had the most significant impact can be difficult. One solution is to use an attribution tool that can track all these diverse channels and bring all the interactions together in one place.

Tracking and defining offline touchpoints:

In a B2B sales process, the customer engages with the vendors through both online and offline touchpoints. This makes it difficult to track and attribute conversions accurately, as you now need to stitch data across systems.. 

For example: consider a set of B2B customers. They attended a trade show and got on a call with your sales team. Afterward, they sign up on your website and complete the purchase. Here, it will be hard to determine credit for a touchpoint if you don't have the right attribution solution. 

Marketing analytics software, like Factors, enables tracking of both online and offline touchpoints. Factors has a click-and-select UI through which the offline touchpoints can be set up from your CRM / MAP platform. This ensures that you have a detailed view of the customer journey.

Sales-Marketing alignment:

Alignment between Marketing and Sales teams is essential to maximize returns. However, this is easier said than done. In many B2B companies, there's a lack of communication between the two teams, making it hard to reach potential customers. Fighting for credit can be a reason for this disconnect, as each team believes their efforts to be the reason for closing a deal.

 Bridging this alignment divide can be achieved in two ways.

1. Emphasize that both teams are not independent but part of a larger go-to-market function. 
2. Unify the customer journey data across marketing and sales touchpoints.
   

Sophisticated Marketing Attribution solutions such as Factors can help here by providing a clear and consistent view of the customer journey. On top of the unified data foundation, teams can get answers to questions such as 

• How many touchpoints did it take to convert a deal? How many of these were sales vs. marketing touchpoints?
• Were marketing efforts able to drive engagement with the right stakeholders in these accounts?
• When is the right time for sales teams to intervene so as to convert an account?
  

Furthermore, each team can review and analyze the attribution data to understand which of their strategies are working and which are not. From a sales perspective, such analysis can help in defining the frequency and content of email sequences, calls, and meetings that lead to maximum impact. 

Why should CMOs consider marketing attribution?

As a CMO, you are often asked to achieve better results with limited resources. Meanwhile, the buyer's journey has become complex, with more channels, stakeholders, and a longer buying cycle. Attribution Software can be a valuable guide, helping you in the following ways.

Better decision-making

By understanding the customer journey, you can determine the channels to focus on and how to allocate your limited budget. 

Improved ROI

Attribution lets you know which channels effectively drive conversions. Therefore, it allows you to allocate expenditures accordingly and generate better results.

Increased accountability

You can unambiguously measure and track your marketing effort's impact. Good or bad, you can hold yourself and your team accountable for the results while continuously finding ways to improve.

Enhanced customer understanding

You can gain a deep understanding of customer behavior and interactions with marketing and sales initiatives. You can know what types of content your customers are seeking, the landing pages they interact with, and more. This enables you to optimize future campaigns to align with the customer's interests.

You can read more about the importance of marketing attribution for CMOs here. 

How to Build a B2B Marketing Attribution Model?

Here’s how to build a strong attribution model that delivers actionable insights:

Step 1: Audit Your Existing Marketing Ecosystem

Start by identifying all current marketing channels and touchpoints. From ad impressions and content downloads to email interactions and sales calls, every engagement should be tracked. This initial audit helps uncover gaps in tracking and ensures you’re capturing the complete customer journey.

Step 2: Define Clear Business Objectives

Your attribution model should align with specific goals, whether that’s improving lead quality, shortening the sales cycle, or boosting customer lifetime value. Defining these goals upfront helps you choose the right model and metrics to measure success.

Step 3: Map the Complete Customer Journey

Carefully map each stage of the journey: awareness, consideration, evaluation, and decision. Assign touchpoints to each stage and evaluate their potential influence. Consider using lead scoring systems to highlight which touchpoints contribute most to sales-ready leads.

Step 4: Select the Right Attribution Model

Based on your sales cycle complexity and goals, choose an attribution model that fits. For example:

• First-Touch Attribution can help identify effective top-of-funnel channels.
  
• W-Shaped or Full-Path Attribution is better suited for tracking engagement across long B2B buying cycles.
  
• Custom or Data-Driven Models offer flexibility and accuracy for organizations with mature data operations.

Step 5: Leverage the Right Attribution Tools

Use analytics and attribution tools that integrate easily with your CRM, marketing automation, and ad platforms. Tools like HubSpot, Marketo, and Google Analytics (alongside more advanced tools like Factors.ai or Wicked Reports) help track user interactions across multiple platforms.

Step 6: Integrate with Your CRM and Sales Stack

Connect your attribution system with your CRM (like Salesforce or HubSpot) to unify marketing and sales data. This centralization ensures teams are working from the same insights, which improves alignment and leads to handoff efficiency. 

Step 7: Customize Reporting and Optimize Over Time

Build dashboards that focus on the KPIs that matter to your business, such as cost per lead, deal velocity, campaign ROI, etc. Attribution is not static: regularly analyze performance, identify patterns, and adjust strategies to stay aligned with changing market dynamics and buyer behavior.

Pro Tip: Start with a simpler model and gradually evolve toward more advanced approaches as your data maturity grows.

By following these steps, you can create an attribution model that improves marketing results.

Key Touchpoints in the B2B Customer Journey

In B2B marketing, understanding and optimizing the key touchpoints throughout the customer journey is essential for driving qualified leads and closing deals. Each touchpoint represents a critical moment of interaction that influences a buyer's path toward becoming a customer. Here's a closer look at the four most important touchpoints in the B2B journey:

1. First Engagement

This is where the journey begins. The first engagement typically happens when a potential buyer interacts with your brand through a blog post, social media ad, webinar invite, or a piece of gated content. This stage is crucial for creating awareness and positioning your brand as a valuable solution to the buyer’s problems. The goal here is to capture interest and drive the user to learn more.

2. Last Marketing Interaction Before Lead Capture

This touchpoint occurs just before a prospect converts into a known lead, often when they fill out a form, request a demo, or download a whitepaper. Identifying this moment helps marketers understand which final nudge (campaign, CTA, content piece) was most effective in prompting conversion. It’s an indicator of what messaging and channels are best at turning interest into action.

3. Opportunity Creation

At this stage, the lead transitions from a Marketing Qualified Lead (MQL) to a Sales Qualified Lead (SQL). It’s the point where marketing hands the lead off to the sales team, often based on engagement metrics, firmographic fit, or behavioral triggers. This handoff is critical: aligning attribution around this milestone helps validate which marketing efforts truly generate sales-ready opportunities.

4. Closed (Won or Lost)

The journey's final and most definitive touchpoint is when a deal is closed. Whether the opportunity results in a win or a loss, this stage reveals which interactions had the most impact on influencing the purchase decision. Attribution here allows you to analyze which marketing strategies contributed to revenue and what might need improvement for future deals.

By tracking and analyzing these key touchpoints, B2B marketers can optimize each stage of the funnel, better allocate budgets, and align more closely with sales teams. This leads to smarter campaigns, higher-quality leads, and ultimately, improved ROI.

Best Practices for Implementing Marketing Attribution

To implement marketing attribution well, follow a clear plan. 

1. Centralize Your Data Sources

Start by unifying marketing and sales data into a single system. This ensures consistent tracking across all channels and touchpoints. A centralized data hub often built around a CRM like HubSpot or Salesforce reduces fragmentation, eliminates data silos, and enables deeper insights into the customer journey. Integration with marketing automation tools, ad platforms, and website analytics is also essential.

2. Choose the Right Attribution Model

Select an attribution model that reflects your sales cycle, buyer behavior, and strategic goals. In B2B, where decisions involve multiple stakeholders and longer timeframes, multi-touch attribution models (e.g., Linear, W-Shaped, or Full Path) usually provide the most balanced view. However, start simple if you're new to attribution and evolve your model as your capabilities grow.

3. Continuously Test and Refine

Attribution isn’t a “set it and forget it” system. Buyer journeys shift with new market trends, technologies, and buyer expectations. Regularly review and refine your attribution models to ensure they reflect real user behavior. Use A/B testing, conversion tracking audits, and periodic performance analysis to fine-tune your approach.

4. Foster Cross-Department Collaboration

Effective attribution depends on input from multiple teams. Align marketing, sales, revenue operations, and customer success around shared metrics and definitions of success (e.g., what qualifies as a lead, opportunity, or conversion). This collaboration leads to more accurate attribution reporting and more cohesive strategies across the funnel.

5. Ensure Privacy Compliance

With evolving data privacy regulations (like GDPR, CCPA, and others), it’s crucial to use attribution tools that respect user privacy. Prioritize platforms that offer privacy-friendly tracking (like server-side tagging, consent-based data collection, and anonymized tracking) to stay compliant while still gathering actionable data. This builds trust and protects your brand reputation.

How to choose the right marketing attribution tool?

‍Choosing a marketing attribution tool requires careful consideration of several factors. Some of the key considerations are

1. Data Integration: Ensure the tool integrates easily with your existing data sources. This includes your CRM, marketing automation platform, web analytics, CDPsand advertising platforms.
2. User-friendly interface: Make sure the tool is easy to set up, track campaigns, and analyze results. 
3. Model flexibility: Choose the tool that offers a range of attribution models. This way, you can choose the most appropriate one aligning with your business goals. 
4. Reporting and analysis: Check whether the tool provides robust reporting and analysis capabilities. This is important for you to understand the impact of your campaigns on lead generation and conversion.
5.  Customer support: Check the quality of the customer support offered by the vendor. It's best to choose the one who provides good technical support and training.
6. Security: Ensure the tool has robust security measures to protect your data. 
7. Cost: Consider the cost of the tool in relation to the value it can deliver to your business.
   

Ultimately, the right attribution tool for your business will depend on your specific needs and goals. Consider your budget, the data you want to track, and the level of analysis you need.

Factors is one of the leading marketing analytics and attribution tools purpose-built for the B2B segment. It can help businesses make data-driven decisions by accurately attributing conversions to the most influential touchpoints. Some of the highlights of Factors include

1. Enables attribution of offline touchpoints such as webinars, field events, and so on.
2. You can visualize the customer journey at an Account and User Level. 
3. Easily integrates with tools like HubSpot, Salesforce, Marketo, 6sense, Segment, and Rudderstack
4. Supports Account Level Analytics and Attribution natively
5. You can compare attribution models and select the one most aligned with your business objectives
6. Provides an extensive set of filters and breakdowns to create rapid, relevant ad hoc reports in seconds.
7. AI-fueled insights into performance, anomalies, and fluctuations. 
   

If you’re looking for a marketing analytics tool that facilitates all your attribution needs, look no further than Factors.ai. Sign up for free to learn more about Factors, or book a personalized demo today!

This article on advanced marketing analytics covers…

• What is advanced marketing analytics?
• Limitations with marketing analytics
• Normalization of data prior to marketing analytics
• An overview of advanced marketing analytics techniques
• How to implement the advanced marketing analytics techniques?
• How Factors can help your business?
• Frequently Asked Questions

The impact of advanced marketing analytics has consistently expanded in B2B marketing. Making sense of relevant marketing data using analytics has always been of interest to marketers, but the ability to connect large data-set across various channels and programs has taken data-driven decision making to the next level. 

But how exactly can marketers go about making the most of their data? And once techniques and strategies for advanced marketing analytics have been identified, how can one ensure a smooth, frictionless implementation.

Most discussions of cutting-edge marketing and sales analytics tend to get bogged down in jargon. In this article, we will discuss the most effective methods of marketing analytics in simple terms. In order to provide a sense of how these methods operate in practice, we’ll also share a few concrete examples. Then, we'll highlight how advanced marketing analytics may be best used by data-driven marketers.

What is advanced marketing analytics?

Advanced marketing analytics is an all-encompassing term. It refers to a variety of advanced techniques and tools that teams employ to extract additional value from their data. By utilizing advanced marketing analytics, you’ll be able to predict patterns and generate accurate behavioral forecasts of your target audience and customers.

In short, advanced marketing analytics increases the value of campaigns for marketers, optimize ROI, and scale growth and pipeline.

Various types of analytics constitute advanced marketing analytics:

Regression Analytics: Regression Analytics examines the links between a dependent variable and an independent variable. This is an excellent technique for identifying trends in data, as the associations discovered in your sample will also exist in the larger population.

Predictive Analytics: Predictive analytics is a crucial component of advanced analytics, as it enables the discovery of solutions to unanswered questions. This sort of analysis employs numerous techniques from other data processes (such as data mining, AI, machine learning, and modeling) to do a comprehensive study of available data in order to make a future forecast. 

Prescriptive Analytics: Business analytics culminates in prescriptive analytics. This is the method of finding the greatest potential outcome by employing technology to examine raw data and make judgments based on existing descriptive and predictive analytics.

A few limitations with basic B2B marketing analytics

In some instances, analytics may misinterpret data, leading to ill-informed decisions. This section discusses the limitations that marketing analytics can present to an organization. A few limitations are listed below:

Misidentification of marketing needs: Basic marketing analytics methods can sometimes overestimate or underestimate the market’s needs and behaviors: what do customers want, how well are competitors performing, what messaging resonates most with the audience. This, in turn, may mislead your team into making suboptimal decisions around marketing strategy.

Evaluating marketing growth in the absence of a market share: Analyzing the market should provide an idea of your potential opportunities. However, this analysis may not always be comprehensive, leading to missed opportunities that may have otherwise seemed obvious. So, in order to be sure of your data, a comprehensive market share analysis is suggested to provide sufficient context.

Improper Data Interpretation: Collecting data from multiple sources aids in data analysis, but data interpretation is an entirely separate process. If anything, interpreting data requires significantly more effort — and failing to allocate adequate resources towards this step will likely result in inaccurate conclusions.

This is where advanced marketing analytics comes into play. By utilizing advanced methods, B2B teams can help themselves achieve improved operational efficiency, increased customer satisfaction, scalable revenue, and optimized ROI.

Normalizing data prior to analysis

Before engaging in advanced analytics, the wisest investment is to thoroughly prepare the foundations of your data. Ensure that fundamental reporting requirements are met through a robust automated data and reporting pipeline, which will liberate resources, eliminate human error, and enhance data quality.

The quantity & variety of data also have an important influence. The majority of advanced analytics approaches perform substantially better with bigger volumes of granular data acquired from several sources. Remember that the results of your deployments of advanced analytics will only be as good as the data you supply.

An overview of advanced marketing analytics techniques

#1 Customer Lifetime Value

It can be an expensive error to direct marketing efforts towards the incorrect audience. Using the aforementioned conversion prediction methods, marketers can generate a list of people that are likely to convert into customers, but how do you identify the most valuable leads out of this set?

Despite their initial satisfaction, a huge number of customers never come back to a business again. A possible churn awaits those who do so. Only a small percentage of customers will remain loyal over the long term, and even fewer will go on to become true brand advocates. This underrepresented group is the most important. Especially in B2B SaaS, the Pareto principle (80/20 rule) almost always holds true: 20% of consumers generate 80% of value.

Customer lifetime value (CLV) estimates a client's future earnings using a sample of their past purchases. With this information in hand, marketers may cut costs on clients who aren't lucrative, strengthen their focus on channels that bring in similar, paying consumers, and work to reawaken the interest of previously inactive customers.

How can Factors help with CLV?

Using Timelines, Factors can generate user and account level timelines of the entire customer journey from first touch to deal won. This is especially useful to B2B SaaS organizations wherein sales cycles involve several stakeholders from the same account. The ability to visualize every touch-point based on account, roles, etc offers granular insight into what’s working for whom and in which account.

#2 Marketing Attribution

How efficient are your methods for analyzing the efficacy of marketing campaigns? How much should you be investing in each advertisement? What channels should you cut to drive ROI? These are fundamental inquiries that any successful marketing strategy must address. Due to the increasingly complex, nonlinear nature of customer journeys, marketing attribution is increasingly gaining relevance.

There are a number of ways to implement a marketing attribution strategy, and some of them entail very basic business standards, like giving all of the credit for a conversion to the very first or very last click. There are other others, though, that demand more intricate mathematical and probabilistic methods. Multi-channel attribution makes sense for firms that operate in a digital environment and analyze engagement metrics like clicks, conversions, and click pathways. Marketing Mix Modeling is a supplementary method utilized by businesses that employ conventional marketing channels (MMM). It utilizes what-if scenarios and is based on regression analysis, a well-studied statistical method. What would happen, for instance, to income if spending on television were to rise by x percent? If you already know the answers to these questions, you can use them to better allocate resources for future initiatives.

Marketing Attribution on Factors

As previously mentioned, marketing attribution is the analytical science of determining which marketing tactics are contributing to sales or conversions. Attribution models give marketers insights into how marketing dollars are best spent by showing touch points that earn the most engagements. Factors delivers a robust marketing attribution suite with a wide range of multi-touch attribution models. Want to learn more? Find a good time here.

#3 Clustering

Clustering is a valuable tool for B2B marketers. The goal is help marketers divide their target audiences into manageable subsets. This allows for  better targeted content, campaigns, and offers. It is possible to generate several types or clusters of customers using heuristic rules: "Show content of type A if the customer is a millennial; show content of type B if they are gen Z."

With today’s abundence of and accessibility to large volumes of data, clustering has evolved into an effective technique to categorize a large number of clients based on any number of features or properties. These clusters emerge as a result of a statistical analysis of data using a measure of the mathematical distancing between various attributes. Customers with comparable ratings will be placed together.

Age, income, spend, duration of time since last purchase, etc. are all examples of features that can be used to segment customers. Similar success can be achieved when clustering keywords according to metrics such as organic ranking, competition level, and opportunity score. Product ads, marketing campaigns, advertisement groups, and so on can also be grouped together.

#4 Conversion prediction

Conversion prediction is not a straightforward operation because conversion rates are often in the single digits. It’s comparable to looking for a needle in a haystack. To increase your chances of success, you'll need a wealth of user behavior data from the past. Early behaviors connected to future conversion milestones can be determined based on this historical data.

Once you have identified people whose actions indicate a high possibility of conversion, you may prioritize and target them appropriately. In addition, this method is effective in identifying factors with the greatest impact on conversion. Depending on the site and its users, it may include a combination of industry, role, location, device kind, or any other combination of relevant dimensions.

How does Factors help with conversion prediction and optimization?

As the name suggests, Factors.ai is built upon an AI-powered analytics engine. Our proprietary ML algorithms empower markets to generate actionable insights from their data in a matter of seconds using AI-fueled Explain and Weekly insights. Curious to see our work in action? Find a good time here!

#5 Anomaly detection

The B2B SaaS marketing industry is rapidly evolving into a data-driven operation that involves near-real time iterations to campaigns and strategies. Naturally, this relies on a large, up-to-date volumes of data. Ad groups and keywords in display and search campaigns, for example, can be rather large and take part in hundreds of daily programmatic auctions; they also have their own unique conversion rates, budgets, returns on investment, and so on. That is,a  vast variety of figures and metrics that constantly fluctuate.

Generally, the fluctuations stay within the range of naturally occurring variances, but exceptions may be found. As a marketer, one must stay vigilant so as to quickly respond with appropriate actions and reactions.

Anomaly detection makes use of statistical analysis and automated decision making to notify marketers when critical KPIs such as conversion rate, revenue, and traffic depart too greatly from the norm. This method treats data as a statistical time series, allowing it to automatically detect seasonal and weekly patterns while simultaneously avoiding false positives. This allows for quick identification of data outliers and under or over performing efforts.

How does Factors help with Anomaly detection?

Factors provides robust, customizable KPI reporting functionality. Set your parameters and sit back as Factors automatically alerts you through Slack and Email notifications when your KPIs extend past your preconfigured range. Furthermore, unlock insights into which marketing efforts are performing, and which ones aren't. Attribution and Explain on Factors may also be used to detect the anomalies across keywords, firmographics, channels, campaigns and more

#6 Forecasting

Forecasting is everywhere: financial markets, economic indices, corporate sales, etc. So, it's no surprise that this technique can also forecast online traffic, conversion, revenue, and other metrics marketers care about. Similar to anomaly detection, forecasting uses historical data to predict trends. This, however, is not always possible and, as a result, forecasts will likely be inaccurate — at least to a certain degree.

In order to make interpretation of predicted results more flexible, forecasting techniques provide bands within which forecasted data can range with given probabilities. If uncertainty is properly accounted for, forecasting can be used as a technique to help you better adjust your future campaigns and targets.

How to implement advanced marketing analytics techniques?

Marketing teams can benefit from advanced marketing analytics throughout the entire marketing process. Advanced marketing analytics helps firms automate and optimize their marketing efforts one step past conventional marketing analytics. 

Gathering data from a larger variety of sources, not simply social media outlets, is an important part of deploying this type of analytics. More diverse data sets require more precise analysis if you want to get the most out of your data and make better decisions. There isn't a single business that has access to every piece of information it would need to make well-informed choices. Instead, firms should broaden their data collection to gain a deeper understanding of their field as a whole. 

Try to supplement your data with that of larger external data providers. As a result, you can more precisely grow your business and build more insightful models. You should also see data with a more prospective eye. It's conceivable that marketing and analytics models used in the past won't be useful for planning future efforts. Finding new connections between online and offline market aspects and impacts is more important than using past data. An analytics model that aids in taking more consequential choices requires a more in-depth examination of client behavior. 

Top-down data analysis is also crucial. By looking at the market as a whole, we may more easily identify a broader range of decision points from which to draw more predictive data. To get the most out of advanced analytics, granularity is essential.

The usefulness of data models can be increased by including the knowledge and experience of more people. The teams responsible for creating data models should include a wide variety of specialists. Data models that are both accurate and useful in practice benefit from the input of experts from a variety of disciplines. 

Large amounts of different data are ideal for advanced marketing analytics strategies. This is why before implementing a new analytics model, a company should thoroughly cleanse its historical data and set up its infrastructure.

How Factors can help your business?

Automation of ordinary data processing and integration of contemporary software solutions into your workflow are always prerequisites for advanced marketing analytics. Manual data manipulation requires far too much time on mechanical activities rather than focusing on the analysis itself. Furthermore, manual processing exposes the granularity of your findings to human error.

Factors assists businesses in automating marketing data processing and gathering advanced marketing analytics insights without the need for repetitive activities. The tool unifies data from a huge number of  marketing data sources, standardizes insights, and loads them into a single warehouse. Marketers can then quickly transfer data to Factors’ dedicated dashboards to create sophisticated charts and graphs. With numerous pre-designed and customizable dashboard templates at your disposal, you will gain a fresh perspective on your marketing activities and efficiently optimize your marketing ROI.

Advanced Marketing Analytics Techniques

Advanced marketing analytics enables marketers to extract deeper insights, optimize campaigns, and drive business growth.

- Key Methodologies: Regression analysis, predictive analytics, and prescriptive analytics.

- Core Functions: Identify trends, forecast customer behavior, and provide data-driven recommendations.

- Implementation Factors: Requires data normalization for accuracy and consistency.

Leveraging advanced analytics empowers marketers to enhance ROI, make informed decisions, and scale business growth effectively.

FAQs

What is advanced marketing analytics?

Advanced marketing analytics refers to a detailed examination of various marketing data utilized to show new customer behavior patterns, market trends, campaign performance concerns, and other significant insights.

Why is advanced marketing analytics important?

A company can find new markets for their products, expand their customer base, and increase revenue with the help of advanced sales and marketing analytics. Monitoring the success of marketing campaigns is essential for their continued success. Using advanced marketing analytics methods will help you fine-tune your campaigns and spend where it counts.

How does data analytics help in marketing?

With the help of data analytics, marketers can glean actionable insights into their data's performance. This data is useful for determining the channels used by customers and prospects, as well as the most profitable campaigns.

How Does Advanced Marketing Analytics Help CMOs?

The use of advanced marketing analytics allows businesses to make more informed predictions about the future and to spot emerging trends earlier. More reliable insights can be obtained from a larger pool of high-quality data with the help of this type of analytics. A CMO will have access to more actionable data, which should lead to more effective campaigns.

In recent blog posts, we’ve talked about marketing analytics, why they are important for your business, and which marketing analytics tools you should be tracking depending on certain business goals. But gaining data insights is only the second step in the process. 

Before you derive insights from your firm’s multiple sources of data from different vendors, be it through reports or visualizations, bridging the gap between data collection and clean data insights is essential. 

Here’s an example - you’re a marketing and advertising firm that receives a ton of data from multiple vendors and clients, all of which send their data using different methods of data collection and sorting. Standardizing all these reports and graphs can be an exhausting task, taking up precious time and resources. 

Don’t you wish you had a tool that could help you integrate multiple data sources into a single platform that you could then use for cutting-edge insights?

Enter: Supermetrics. 

While this tool works quite differently from standard analytics tools such as Google Analytics, it’s been widely used and recommended by B2B firms and their marketing teams - simply because it simplifies the process of having to manually transfer data from multiple sheets and files into a single actionable platform for better analysis. 

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Supermetrics Features

Supermetrics, if defined simply, is a data-automation tool that allows you to pull data from various sources (such as social media platforms, Google Adwords, and Google Analytics) and feed it into a platform that can help with data organization and insights, such as MS Excel, Google Data Studio, etc.). 

The reason why Supermetrics has proven to be a popular and seamless platform is to bridge the gaps between data and database/analytics software. Let’s now take a look at some of the features Supermetrics is best known for - 

1. Eliminate the need for manual copy-and-paste 

When we talk about B2B company data, we’re not talking about a couple of Excel sheets, but an enormous amount of data from multiple platforms that the brand uses. Ideally, a B2B brand establishes its presence on various platforms such as Linkedin, Instagram, Google Ads, and Twitter Campaigns, to name a few. 

Above all, it can be extremely tricky to ensure that all of the data pulled from these platforms is regularly updated, to avoid any snags or data errors while feeding it for data insights or performance reports. Supermetrics helps with exactly that. Once you set up your Supermetrics account, it automatically starts gathering data and pasting it into any tool you opt for analytics, such as Excel or Google Data Studio. 

Be it weekly or yearly reports, Supermetrics makes sure you spend a lot less time on the grunt work, and utilize that time to better study and understand the data the tool has pulled, resulting in better, actionable insights. 

Pull data from hundreds of sites and platforms

One of the biggest advantages of Supermetrics is that it can pull data from multiple sources in a matter of seconds, and create reports that otherwise would have taken days to prepare. Here are a few of the sites and platforms that Supermetrics can set up to pull data from daily 

• Facebook Ads 
• Google Ads
• Criteo 
• Taboola.
• Linkedin Ad Campaigns 
• Twitter Ad Campaigns 
• Hubspot 
• Instagram 

And on the other side of the process, here are the platforms that Supermetrics feeds your data into so that you can immediately create reports, sort, filter, and study reports from the data that you no longer have to manually grab and drop from the channels mentioned above. 

• MS Excel 
• Snowflake 
• Google Sheets 
• Google Data Studio 
• API 
• BigQuery 

3. Marketing Data Visualization 

Once Supermetrics has pulled data from one platform, it feeds it into another. However, while doing so, it creates visualizations that can be customized according to the brand’s needs. 

For example, if you feed data from your Google AdWords campaign into an Excel spreadsheet, Supermetrics will automatically convert your campaign performance data into line charts, bar graphs, and or plotted graphs, according to your needs. In the event of updated data, the platform immediately updates its visualizations, instead of you having to manually update your database every time there’s an update or change. 

Apart from these features, Supermetrics is commonly used to track PPC campaign data across various platforms and create automated reports that can be fed into brand new presentation software such as Microsoft PowerPoint, eliminating quite a lot of manual effort. 

Limitations with Supermetrics 

Just as any other analytics or data-grabbing software, Supermetrics comes with its pros and cons. Before making a choice, it is important to know all of these pros and cons, so that you can align your brand needs with the features of the software, and make an informed decision. 

1. No clean-ups for marketing data errors

We talked about how Supermetrics can pull data from hundreds of platforms in one click, and regularly update the database platform you’ve chosen for insights. But if you have to ensure that all your data is clean and filtered through regularly for errors, you might just have to do that manually. 

Supermetrics as a platform does not help weed out any data errors. All it does is pull data from one platform, paste it onto another, and create visualizations for the data received. Platforms like ChannelMix help set up rules and conditions for data grabbing, so that all of your data passes through a certain filter, ensuring a slim chance of data errors in your final reports. 

2. Unintuitive marketing analytics software 

While Supermetrics as a tool is extremely useful, learning how to navigate through the platform and use its features according to your brand needs can be a bit tricky. 

Lots of user reviews state how steep the learning curve is for Supermetrics, and that learning how to integrate Supermetrics with multiple sites can be quite time-consuming and difficult. 

3. Lack of scalability

An important distinction one must make is that while Supermetrics is an excellent data-grabber, it does not provide any services for long-term data storage, unlike data warehouses. In the event that your brand wants to scale up, or derive long-term insights from past data, it may be time to consider another tool. 

The reason behind this limitation is that Supermetrics is simply concerned with pulling and feeding data from one platform to another. It does not focus on long-term data storage that multiple teams in your organization can focus on. 

It might be easy in the short term to set up a data warehouse with Supermetrics, but since the warehouse is not part of the product itself, you’ll spend a lot more time, money, and effort trying to maintain and update the warehouse from time to time. 

4. Supermetrics pricing

A make-or-break factor for many organizations, the cost is one of the features where Supermetrics falls short when compared to other data-grabbing tools. To ensure you pay for the service you need, and don’t end up paying more than your budget allocates, make sure to check out the pricing page on Supermetrics’s website, compare their pricing with other tools, and book a free trial of the tool so that you know exactly what you’re paying for if you choose to opt for Supermetrics in the future. 

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How Does Factors Help with B2B marketing analytics and revenue attribution? 

1. Data-Grabbing and Insights across the customer journey 

While Supermetrics is a data-grabbing tool, a robust marketing effort needs more than just data-grabbing. While Supermetrics is a connector, simply relying on such a software tool does not provide a comprehensive viewpoint that you can use to optimize your efforts. Factors, apart from pulling data from multiple sites and platforms, helps analyze and optimize efforts with KPI reporting, customer journey funnels, and revenue attribution, to name a few.. helps with connecting the data you’ve pulled and shows you just how much value and traffic each of your channels is bringing in. 

While data-grabbing is an excellent way to understand the trends in channel performance, Factors help understand why a source/platform performed as well as it did, and how you can use those insights to build a better marketing strategy. 

2. Customizable Attribution Modeling

Just as every business has its own goals and needs, keeping a close eye on the channels and platforms that can help you get there is essential. While pulling in data from multiple sources, it can be difficult and time-consuming to figure out which source is bringing in the most profitable audience, and which source(s) need more work. 

With Factors’ customizable attribution model, you can select to track and study your sales pipeline the way you want to, according to your goals. To read more about attribution and why you need to use it in your B2B marketing strategy, visit our Blog section! 

3. Cost Effectiveness 

The Factors pricing model is built for all types and sizes of teams so that you pay only for the services you need, based on your team size. Cost-effectiveness is a make-or-break factor for many brands, and not choosing the right tool for the right price does more harm than good in the long term. 

4. User-friendly interface

One of the biggest advantages Factors holds over Supermetrics is how easy it is to use, even if you’re just starting in the world of analytics and data insights. Our interface is created keeping the customer in mind and can be picked up quite easily. 

Wrapping Up 

There are hundreds of analytics and data-grabbing tools that you might opt for for your B2B brand. However, understanding what your brand needs are, your ideal budget, the time allotted to learning the software, and the quality of insights gained with the help of your chosen software are all factors you should keep in mind while opting for a tool. 

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Looking to learn more about HockeyStack’s pricing, features, and comparisons? You’re in the right place. This article is the product of raiding the internet to highlight everything you need to know about HockeyStack. Let’s jump in. 

What is HockeyStack?

HockeyStack is a B2B analytics & attribution platform that integrates with your ads, website, CRM, and more to identify how campaigns and content are influencing conversions across the customer journey. Here’s a quick breakdown of what HockeyStack offers:

• Multi-touch attribution
• Website analytics
• Predictive analytics
• IP-identification
• Unified tracking across campaigns, website, CRM, etc
• Goals, funnels, and segment tracking
• Account-based customer journeys
• Custom dashboards and reports
• Surveys
• LinkedIn Impression tracking

HockeyStack Pricing

[December 2023 Update] HockeyStack has recently revised its pricing to $1399/mo for up to 10,000 unique visitors. Here's a breakdown of what HockeyStack's growth plan includes on time of writing:

[Aug 2023 Update] HockeyStack’s pricing plans start at $949/mo for up to 10,000 unique website visitors and 10 seats. This starting price is somewhere between Dreamdata ($599/mo) and Infinigrow’s ($1,500/mo) starting plans. Not the cheapest or the most expensive attribution solution out there.

As with most products in this category, HockeyStack pricing is based on the volume of traffic or users you’re tracking. You’ll have to request a demo to find the exact commercials for your business. 

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HockeyStack Reviews

Generally, HockeyStack is well rated for its wide range of customization but a few reviews find HockeyStack marginally unintuitive and relatively unrefined.  

HockeyStack Alternatives

Here’s a quick list of leading HockeyStack alternatives for your consideration. Looking for an in-depth analysis of the strengths and limitations of these options? Read on here: Top 7 HockeyStack alternatives 

• Factors.ai
• Dreamdata
• Adobe Marketo Measure (Bizible)
• Attribution App
• Ruler Analytics
• Calibermind
• FullCircle Insights

HockeyStack Comparison: Why Factors Over HockeyStack

HockeyStack is great at what it does. It provides robust attribution functionality, a wide range of customizations and integrations, and well-reviewed customer support. That being said, when compared to a similarly priced attribution product like Factors, HockeyStack seems to fall short in terms of features, usability, and cost-effectiveness. 

Accordingly, here are three reasons why Factors may make more sense for you:

1. Product features

In addition to the standard attribution and analytics features shared by both solutions, Factors delivers a wide range of features to help GTM teams refine customer journeys and drive conversions. Mainly:

1. LinkedIn and G2 Intent signals: While both tools offer IP-based account identification, Factors captures intent signals across website, LinkedIn impressions, AND G2 engagement. This means that you can identify anonymous accounts and track their cross-channel engagement more holistically. 

In addition, Factors integrates with MAPs, LinkedIn, and more via Webhooks to activate trigger-based actions. This includes automated LinkedIn matched audience list building, automated mail sequence activation based on engagement and intent signals & more.

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2. Path analysis for aggregated customer journey mapping 

3. Account scoring Factors empower tailor-made account scoring configurations based on engagement across website, LinkedIn impressions, and G2 so teams can qualify and prioritize high-intent accounts accurately.

4. Anomaly detection and real-time alerts via mail, Slack or MS Teams

2. Usability

Factors and HockeyStack are both among the most customizable B2B attribution solutions out there. The ability to customize KPIs, properties, dashboards, and events is extremely valuable for teams looking to tailor their reporting for their business-specific requirements.

That being said, users find Factors to be user-friendly and conducive to self-service. Fortunately, both solutions provide comprehensive onboarding support and customer success management, so you should still be able to derive great value from either one. Still, user experience and product usability is something to keep in mind when making a purchase decision. 

3. Cost-effectiveness

Finally, we arrive at cost. While HockeyStack plans start at $950 [As of Dec 2023, HockeyStack pricing has been revised to $1399/mo] for up to 10,000 monthly visitors, Factors offers a much lower barrier to entry with paid plans starting as low as $99/mo. Moreover, Factors provides a free plan to get you started with our basic offerings. 

Learn more about Factors pricing here: www.factors.ai/pricing

Overall, Factors is the more cost-effective option for early-stage teams looking to start out their marketing analytics and attribution journey. Given the additional features discussed above, it's more bang for your buck than other alternatives, including HockeyStack. 

Looking to see if Factors would make the right fit for your attribution needs? Book a demo with us today!

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As a B2B marketing team, there are a few common mistakes that should be avoided. Not focusing on branding enough, or ignoring the potential solid audience research holds for your brand can all negatively affect your brand's growth in the long run. 

The growth of online marketing strategies, various tools, and software, and even a shift in audience preferences have all led to a change in B2B business's marketing journeys. However, there are timeless mistakes that every B2B marketer should know about while crafting a marketing strategy. 

In this blog, we'll cover the top 6 mistakes that a majority of B2B marketers make - mistakes you should try not to make throughout your marketing journey. 

#1 A Lack of Focus on Branding

You may think, "What's branding got anything to do with B2B? Isn't branding only needed when interacting with a non-business audience like B2C brands?" This notion could not have been farther from the truth. Most B2B brands do not focus on branding as much as they should, since they do not see the contribution it provides to your brand and your customers in the long run. Put simply - branding is important. Creating a strong connection with your present and potential customers with a solid brand identity, voice, and emotion-centric branding efforts is the best way you as marketing can avoid making this first mistake. Tips: 

• Creating a brand from scratch takes the same (if not more) amount of effort as creating a company. 
• Emotion is key. The more you relate to your customers' feelings, emotions, and needs, the more customer-centric your brand will be able to be. 
• Consistency is key. Creating a brand is not an overnight process, so putting in effort regularly is the best thing you can do for your B2B brand. 

#2 Being unaware of your true target audience

Be it a business or an individual on social media, knowing what your target audience is essential for B2B success. B2B brands often miss out on defining their target audience early on in their marketing efforts, simply because it does not seem important at that stage. However, businesses too, comprise your target audience and need personalized, impactful marketing efforts that might motivate them to opt for your brand's products/services. Understanding your target audience is highly useful for your marketing, advertising, sales, product development, and even service departments, as the better you know who and what your audience comprises, the better you will be able to cater to their needs. 

Tip: Buyer personas are a must. Take some time out to divide your customers into personas that you can use to create better targeted and more efficient marketing campaigns. After all, better B2B marketing efforts potentially lead to better brand and revenue growth! 

#3 Using unnecessary jargon 

Often, B2B brands (and marketers) use unnecessary jargon to sound more "authoritative and professional" in front of their target audience. However, this is the biggest mistake you could make as a B2B marketer. Content marketing efforts such as a company blog, weekly newsletters, free industry resources, and whitepapers are a goldmine for B2B brands. No matter how useful and valuable the content inside each of these may be, using jargon and complicated terms to interact with your audience will be nothing but negative for your brand growth. 

Keeping it simple, not bland, is a mantra every B2B marketer should know. 

Here are a couple of ways to stop making this mistake.  

• Write like your audience. Conduct thorough research on the types of content your audience prefers, and create content accordingly. It always helps to keep in mind their preferred level of technicality, subject understanding, and voice in mind!
• Ensure you ask for lots of feedback from your audience after they view/interact with the content you've put out. Asking for feedback before publishing the content is a great way to ensure you don't publish content that is not audience-friendly in the long run. 

#4 Analytics, analytics, analytics
(or a lack thereof) 

As any B2B marketing will tell you, analytics tools are THE way to track and measure brand performance over time. Be it website conversions, newsletter sign-ups, or even the number of visitors that signed up for a demo call, analytics are essential for a rocking marketing strategy. B2B brands often ignore this aspect of marketing, which is perhaps the most important one - tracking results. Understanding which channels are bringing in better, more promising leads, and which channels need optimizing are useful insights to have while allocating budgets and brainstorming strategies for each of these channels.

Opting for the right analytics software based on your brand needs is equally important, and the only way you can do this is by conducting lots of research on the various options available. Social media platforms too, provide separate analytics dashboards for business accounts, and these are a great place to understand audience behavior. 

#5 A Poor Definition of your Brand’s USP  

Your brand's USP, or Unique Selling Proposition, is what sets it apart from your competitors. Not understanding your USP leads to poor use of marketing potential, and a potential dip in the amount of traffic your sales funnel sees. What's more, marketing your USP well creates a lasting impression on your audience, which is nothing but beneficial for your B2B brand. Understand your audience's needs, tie them in with your USP, and market it in a way that makes it about what your brand can do for them. 

#6 Ignoring UI and Design

Here's a TL;DR - If your User Interface sucks, you're not doing it right. Apart from your service or product, your overall user experience is what helps clinch the deal. Be it a mobile application or your website, focusing on a smooth, user-friendly, and responsive design is key for a glowing UX. 

Ensure you test out all of your website pages, applications, and landing pages on multiple devices and network speeds. Optimize your images and videos so that they load quickly on slower networks, and ensure that your website is accessible (and readable) on both desktop and mobile devices.

What is a product-led growth strategy?

Product-led growth (PLG) is a business strategy and technique that sets the product as the major engine of customer acquisition, activation, satisfaction, retention, and scalable expansion. Customers remain loyal to a brand that offers an innovative and personalized product experience. It most likely happens when all of a company's digital-facing teams—marketing, product, customer success, and more—unite around product-led growth.

Due to Product Led Growth’s pivotal position in some of the most successful SaaS start-ups in recent times (Notion, Dropbox, Canva, Figma, Slack and Dropbox), PLG is being increasingly considered by high-growth teams as a winning growth strategy.

A closer examination of PLG, reveals a fundamentally new approach to product development. One that makes the product the star of the show throughout the whole user experience. Salespeople, marketers, and engineers all play supporting roles in a successful assisted sale, but the product is the star of the show. User-driven virality, activation and engagement journeys, and the first steps toward an assisted sale are all examples of this.

Why is product-led growth the future of SaaS?

In contrast to sales-led organizations whose sole objective is to move a buyer from A to B in a sales cycle, product-led companies invert the typical sales paradigm. Product-driven businesses make this possible by providing the consumer with the "keys" to the product and assisting them in experiencing a meaningful consequence while using the product. At this point, upgrading to a premium subscription is an obvious choice.

On the surface, product-led development may appear to be a straightforward model for your buyer to test before purchasing. However, upon closer inspection, product-led growth is an entirely novel strategy for expanding a SaaS business.

Product-led growth entails that every team in your organization influences the product. Your marketing team will inquire, "How can we develop a demand flywheel for our product?" Your sales staff will inquire, "How can we use this product to qualify leads?" Your customer success team asks, "How can we design a product that facilitates customer success beyond our wildest dreams?" By focusing every team on the product, you establish a culture based on enduring customer value."

By focusing on the product throughout the organization, product-led businesses frequently gain:

• By letting your prospects onboard themselves, you can drastically minimize the time-to-value and sales cycle of your prospects.
• Reduce Customer Acquisition Costs (CAC) by allowing users to upgrade independently.
• Higher Revenue Per Employee (RPE): Less hand-holding results in increased profit margins per customer.

Product-led growth isn't just about disrupting "how" SaaS businesses sell; it's your only means of survival.

Key product-led growth metrics

It's critical that everyone in your team understands and adheres to the same set of performance goals. While there are new measures to rally behind in a product-led growth model, many on this list may sound familiar — many SaaS organizations already do prefer to track product-led growth metrics.

1. Activation Rate: The percentage of users that have found meaningful value in a product.

2. Customer Lifetime Value (CLV): An estimate of how much income a single customer will bring in for your company over the course of your engagement.

3. Acquisition: The number of users who have signed up for your free trial/tier.

4. Product Qualified Lead (PQL): A product qualified lead (PQL) is a lead who has derived significant value from your product via a free trial or freemium model. These customers are primed for an upsell.

5. Net Revenue Churn: This metric, which is commonly represented as a percentage, reflects the amount of money lost after accounting for new and expansion revenue.

6. Average Revenue Per User (ARPU): This metric is excellent for gauging the general health of your company. To determine this, divide the monthly recurring revenue by the total number of clients.

7. TTV: The amount of time it takes new users to reach their Activation moment is known as the Time-to-Value (TTV). The more quickly you can activate users, the more likely it is that they will remain active. The key objective of a successful onboarding process is to minimize TTV.

8. Expansion Revenue: One of the most crucial levers for SaaS growth, expansion revenue serves as an anti-churn strategy. Revenue from existing customers that is created through upsells, add-ons, cross-sells, and other strategies is measured by expansion revenue.

9. Free-to-Paid Conversion Rate: The percentage of trial users that have upgraded to a paid membership.

Is your product fit for product led growth?

If your organization possesses the following traits, you might want to employ a product-led growth approach to increase product adoption: In fact, a PLG approach can influence your marketing, product optimization, pricing, and sales strategies.

• The product market conditions are favorable for the proposed strategy to be implemented successfully.
• The user views the product as a "highest-value-product" that they wish to use on a frequent basis, which increases its perceived value.
• The user is able to quickly and easily achieve large ongoing benefit with little to no assistance from corporate staff.
• Rather than setting the price, "paywalls" in a product, track how much value the user is receiving and adjust their pricing accordingly.
• Market, sell, and onboard new consumers are all made possible by the product.
• The goal of marketing is to get people to interact with the product rather than the sales team.
• A network effect is already incorporated into the product.
• Companies that use the product have a vocal proponent who works tirelessly to spread the word about how fantastic it is.

Modelling growth around a product-driven approach

You can escape the onslaught of increasing client acquisition expenses and declining customer willingness to pay for your product by focusing on product-led growth. You must do the following actions in order to create a successful product-led business:

• Learn to articulate the benefits that working with you can offer to your clients.
• Make sure you express this value to your customer in a way that is pertinent to them and the situation they are in.
• Ensure that you deliver on that value.

How does the Product-led growth model fare in comparison to other models?

Growth models commonly used by companies include one or a combination of the following:

• Sales-led
• Marketing-led
• Product-led

Each of the three models has a different internal alignment. Companies that are mostly sales-driven are designed to help the sales team succeed as the company's principal revenue generator. We ask, "Will this help the sales team win more deals?" while making decisions about anything from employee training to software purchases to marketing strategies. 

The primary goal of marketing-driven businesses is to persuade customers of the worth of a product and to meet their demands. A marketing team is supported by the firm in its attempts to attract customers and generate leads. After conducting customer research and advertising campaigns, the marketing staff has a key role in bringing new customers into the fold. Marketing initiatives can make all the difference in pipeline and growth in a highly competitive market where items are tough to distinguish.

Prospects must be told the value of a product explicitly under each of these approaches. Product-led businesses, on the other hand, place an emphasis on showcasing the true worth of their offerings. For example, product-driven organizations may encourage prospects to engage with the product immediately—in the form of a free trial or "freemium" subscription—instead of investing extensively in outbound sales. Allowing potential customers to test out a high-quality product before they buy it enables them to experience its advantages first-hand. It is unnecessary to persuade a buyer about the genuine value of a product created with this mindset.

Product-led businesses prioritize minimizing customer acquisition costs (CAC) to the greatest extent possible. Recruiting and training a large sales force is costly. Both traditional and digital marketing tactics that are of high-quality demand substantial and consistent financial commitments. However, becoming product-driven does not entail abandoning all traditional sales and marketing tactics. It is more important to be strategic with your investments and vision.

You still require a sales team to assist with selling and a marketing team to generate demand. But product-driven expansion increases the effectiveness of both sales-driven and marketing-driven activities. Ultimately, it is much simpler to sell and promote a product that customers adore than to sell and market an average product.

How does your business benefit from a Product-led growth model?

Are you unsure if product-led growth is the right path for your company? There are some definite advantages to product-led growth, even if it isn't ideal in every situation.

Accelerated growth - Rapid acceptance and expansion are the primary motivations for using product-led growth in business. To put it another way, you're getting to the point and decreasing the barriers to entry by allowing users to access the product for no charge.

Scalability - Slack and Shopify are two of the most successful startups in the world, but scaling up may be a challenge. If you're looking for rapid expansion, product-driven growth is often the best option. This is because product-driven companies can focus their resources on onboarding and serving customers while their competitors are focusing on developing their sales organizations.

Reduced Cost of Acquisition - Using a product-led growth approach significantly decreases a company's marketing expense because customer acquisition channels are already embedded into the product. Overall acquisition expenses are reduced as a result.

Better Rates of Retention - Product-led growth ensures that user expectations are aligned with the capabilities of your product, ensuring that your product is a success. A better fit for the user is created, which leads to increased user retention over time.

Customer Satisfaction - Growing a business with a product is mostly dependent on word-of-mouth advertising. It's not your company's job to persuade customers to buy your goods. It's your customers, not you, who drive adoption.

Customers are likely to have great things to say about this product because of its emphasis on providing real value. Other customers read these ratings and thoughts, which starts a virtuous circle of purchases. Product-led growth enterprises benefit from the fact that many consumers prefer to investigate things they've heard about online rather than in person.

Transition to product-led: What does it mean to be product led

Not only is the price model changing, but so are many other aspects of the firm as a whole.

Customers can test a product before purchasing it thanks to free trials offered by many companies.

As a result, product onboarding experiences are being improved so that clients may begin experiencing the product's value much sooner.

Product firms devote a lot of time and attention to actually distinguishing themselves from their competitors by uncovering fresh client problems and value to offer.

To deliver even greater value to a more narrowly focused group of clients, businesses are increasingly focusing on a smaller set of distinct demographics and the difficulties they face.

The distinctive value proposition is the focus of the messaging developed by the marketing and sales teams.

Optimizing pricing models around customer experience and providing more options, such as subscription models, is becoming more commonplace.

The term "value" appears in all of them. Customers churn and move on to the next product if they don't feel their demands are addressed and the product doesn't deliver value.

In order to become product-led, the first step is to discover what customers value the most about their products. What are the most common issues customers have with the product? What features and functionalities are absolutely essential to your clients in order to keep them engaged over the long term?

Companies can use this information to improve their product offering, onboarding experience, marketing and sales message, pricing structures, and trial choices so that customers can experience the product's unique value proposition at every stage of their customer journey.

Looking forward…

When brands correctly use product-led growth frameworks, they acquire an unfair competitive edge and experience substantially lower Customer Acquisition Costs (CAC). A good framework will also help reduce friction in the user onboarding process, which might impede the growth of your product. 

But beyond the framework, product-led growth is really about knowing your customers' demands and identifying market gaps.