LinkedIn Ads Management Services for B2B: Build campaigns that drive pipeline

TL;DR

• LinkedIn is the only major ad platform where you can target by job title, seniority, company size, and skills simultaneously. Think of it as a cheat code. An expensive cheat code, but a cheat code nonetheless.
• LinkedIn Ads remain the single largest ad spend at 41% and delivers 121% ROAS for B2B campaigns, outperforming every other major platform when measured against closed revenue.
• Whether you handle LinkedIn ads management in-house or work with a LinkedIn ads management agency, the biggest mistakes stay the same: over-targeting tiny audiences, leaving LinkedIn’s default settings on, refreshing creative too slowly, and measuring success by CPL instead of pipeline.
• This guide covers ad formats, targeting strategy, Lead Gen Forms, creative cadence, ABM with intent data, retargeting, common mistakes, and a checklist you can use tomorrow.

Let’s talk about the platform that every B2B marketer has a complicated relationship with.

LinkedIn. The place where your ads cost $8 a click, your CFO raises an eyebrow every time they see the invoice, and yet... it somehow keeps being the channel that drives real pipeline.

I’ve worked with paid ads teams for a while… at least long enough to know the cycle by heart. You launch a campaign. The CPC makes you wince. You question everything. Then, three months later, sales closes a six-figure deal, and the attribution trail leads right back to a LinkedIn ad the buyer saw in September. Suddenly, $8 a click doesn’t feel SO bad.

The problem is that most B2B teams never reach that “oh, it was actually worth it” moment because they set up LinkedIn Ads incorrectly, measure them incorrectly, or give up too soon. LinkedIn rewards patience and precision (SO cliché, I know). It also punishes lazy targeting and generic creative, and it will happily burn through your entire monthly budget in three days if you leave the default settings on. (Ask me how I know.)

This guide is everything I’ve learned about LinkedIn ads management for B2B. Whether you run campaigns in-house, hire a LinkedIn ads management agency, or use LinkedIn ads management services through a platform like Factors.ai, the principles here will apply.

Let’s get into it.

LinkedIn Ads Management for B2B: Where the Decision-Makers Live

If Google is where you capture demand, LinkedIn is where you create it.

LinkedIn is the only major ad platform where you can target by job title, seniority, company size, industry, and skills simultaneously. In B2B, that's like having a cheat code. An expensive cheat code, but a cheat code nonetheless.

The platform generates 80% of all B2B social media leads and delivers 277% more effectiveness than Facebook for B2B lead generation, according to SEO Design Chicago's 2025 benchmark analysis. LinkedIn now commands roughly 39-41% of total B2B ad budgets, making it the largest single-platform share according to Dreamdata’s 2026 benchmarks.

Let's talk about how to actually make it work.

LinkedIn Ads benchmarks: what ‘good’ looks like

Here's what the data says across multiple benchmark studies:

Overall LinkedIn Ads performance (2025) from our B2B LinkedIn Benchmark Report

• LinkedIn ad budgets grew 31.7%
• LinkedIn’s share of digital budgets increased from 31.3% to 37.6%
• Paid Search Performs Better After LinkedIn Exposure
  
  • Paid search leads were 14.3% influenced by LinkedIn first
  • ICP accounts convert 46% better in paid search after seeing LinkedIn ads

Dreamdata’s LinkedIn Ads Benchmarks Report 2026 shows LinkedIn delivering 121% ROAS for B2B campaigns, outperforming Google Search at 67% and Meta at 51% when revenue from closed-won deals is measured through a data-driven attribution model. 

Yes, LinkedIn can feel expensive per click. But when you measure downstream metrics like pipeline and revenue, the economics often flip. Dreamdata’s analysis shows LinkedIn remains the only major ad platform delivering a positive return on ad spend in B2B, even as Google Search costs rise and ROAS declines.

So when your CFO questions why you're paying $8 per click on LinkedIn, you have your answer.

Which ad formats actually work?

Not all LinkedIn ad formats are created equal.

• Document Ads are the sleeper hit
  They deliver a 22.73% lead form completion rate (that's 10X higher than Video Ads at 2.26%) and produce the lowest CPL despite higher CPMs. Document Ads are climbing from 4% to 11% of B2B ad spend, and for good reason. If you're not testing them yet, start.
• Single Image Ads remain the workhorse
  Best balance of reach, CTR (0.50-0.60%), and cost. They're reliable, easy to produce, and scale well. Think of them as the Ron Weasley of LinkedIn ad formats: not flashy, but always showing up when it counts.
• Carousel Ads got more cost-effective in 2025
  With CPM decreasing 35.3% year-over-year and CPC running around $2.15, Carousel Ads are increasingly good for storytelling and multi-feature showcases.
• Video Ads are great for brand awareness but terrible for direct lead gen.
  Short videos (under 30 seconds) see 35-45% completion rates; anything over 60 seconds drops below 20%. LinkedIn's video inventory grew 74% in 2025, so there's more placement opportunity here.
• Thought Leader Ads deserve special attention.
  CTR runs up to 2.3X higher than conventional single-image ads, per LinkedIn's own data. These Thought Leader Ads use employee posts as ad creative, which makes them feel organic rather than promotional. If your executives or subject matter experts are active on LinkedIn (and they should be), this format is worth testing.

Targeting: the superpower and the trap

LinkedIn's targeting is incredible, but it could also be a platform where most teams feel like they’re spending a lot of money… but can’t explain output.

The biggest mistake? Over-targeting. When your audience drops below 50,000 members, you create artificial scarcity, competition for those impressions increases, and your costs go up. And your campaign doesn't get enough data to optimize.

AJ Wilcox at B2Linked (one of the most respected LinkedIn Ads practitioners out there) recommends audience sizes of 50K-300K members per campaign. Factors.ai's own targeting best practices align with this range.

Here's another trap: When you create a campaign, LinkedIn automatically enables Audience Expansion (shows ads to people outside your targeting), Audience Network (shows ads on partner sites), and Maximum Delivery bidding (spends your budget as fast as possible). All three drain budget on low-quality placements. Turn them off. Start with low manual CPC bids (about $7 for North America) and incrementally increase until your budget is fully utilized. LinkedIn defaults to auto bidding because it maximizes spend for LinkedIn. You want to maximize efficiency for you.

Starting budget recommendation: $5,000-$10,000 per month for meaningful data and optimization ability. Below that, you won't have enough volume to learn what works.

Lead gen forms vs. landing pages

This one's straightforward. Lead Gen Forms convert at 2-5X higher rates than landing pages and reduce CPL by approximately 25%, according to NAV43's 2025 analysis.

Why? Because they pre-fill fields from the user's LinkedIn profile. The friction drops to near zero… the user doesn't leave LinkedIn, it's fast.

For lead generation campaigns on LinkedIn, Lead Gen Forms should be your default. Period. Use landing pages when you need more complex conversion flows or when you want to drive traffic to specific content experiences.

Creative refresh cadence

LinkedIn ad fatigue is real, and it hits faster than most people expect. CTR typically declines after about two weeks of running the same creative, according to both Metricool and NAV43's 2025 data.

Plan to refresh visuals and copy every 14 days. And when NAV43 says content focusing on industry insights and data points gets 22% higher engagement than product-focused messaging, believe them. B2B buyers on LinkedIn respond to thought leadership and useful information, not product screenshots and feature lists.

Here's a metric worth tracking: campaigns with CTR above 0.7% enjoy 15% lower CPCs. Optimizing for engagement rate isn't just a vanity play. It directly reduces your costs.

Common LinkedIn Ads mistakes

1. Wrong objective selection
   If you select ‘Lead Generation’ as your campaign objective, you're locked into Lead Gen Forms. If you want the flexibility to send traffic to a landing page with manual CPC bidding, choose "Website Conversions" instead.
2. Not using LinkedIn's Conversions API (CAPI)
   Users who implement CAPI see 20% lower CPA and a 31% increase in attributed conversions, per LinkedIn's internal data. Dreamdata reports that 75% of their customers now use CAPI. If you haven't set this up, you're leaving money and data on the table.
3. Relying on LinkedIn's native industry filters
   These filters frequently misclassify companies. Upload custom company lists through Matched Audiences instead. It's more work upfront but dramatically improves targeting accuracy.
4. Setting daily budgets below 2X your target cost per result
   If your target CPL is $50, your daily budget should be at least $100. Otherwise, LinkedIn's algorithm doesn't have enough room to optimize delivery.
5. Ignoring seasonal patterns
   HockeyStack's analysis of 70+ B2B SaaS companies shows Q3 (especially September) has the highest CPC ($15.72) but also the best CTR (1.05%), making it ideal for engagement campaigns. Q1 offers the lowest CPC ($10.48) but requires stronger creative investment to break through.

Cross-channel ad campaign management: Running Google and LinkedIn together

Here's where most B2B teams fumble… they treat Google and LinkedIn as separate planets. Two different dashboards, two different teams, two different reporting cadences, zero shared strategy.

That's like having Harry and Hermione work on different floors and never talk to each other. You need both, and they need to coordinate.

1. The complementary channel framework

Google captures demand, LinkedIn creates demand. They are not competing for the same budget, in fact, they’re two phases of the same buying journey.

When someone sees your LinkedIn ad about account-based marketing challenges, they don't click and buy. They think about it. Maybe they save the post. A week later, they Google "account-based marketing tools." If you're running Google Search ads for that keyword, you're there. The LinkedIn impression created the demand. Google captured it.

Audiences exposed to both brand and acquisition ads on LinkedIn are 6X more likely to convert, according to LinkedIn's own research. And LinkedIn paired with search advertising lifts search conversions by 46%, according to Factors.ai's benchmark data.

This is not a ‘nice to have’ coordination btw, it's a revenue multiplier.

2. Budget allocation across channels

Based on The Digital Bloom's synthesis of 65+ B2B data sources in 2025, here's the recommended allocation:

• Google Ads: 35–45%: Focus on high-intent search capture and bottom-funnel leads.
• LinkedIn Ads: 25–35%: Primary channel for decision-maker targeting and high-quality MQLs (14–18% conversion rate).
• Microsoft Bing: 15–20%: Leverages the highest ROI (253%) for cost-efficient mid-market reach.
• Meta Platforms: 5–10%: Reserved strictly for brand awareness and top-of-funnel retargeting.

The exact split depends on your average deal size, sales cycle length, and ICP. Enterprise companies with $100K+ ACV and 6+ month sales cycles should lean heavier on LinkedIn. Companies with shorter cycles and higher search volume should lean heavier on Google.

3. The attribution problem (aka "Who actually gets credit?")

Oh, attribution… the Bermuda Triangle of B2B marketing.

Gartner's Q1 2025 survey found that 68% of B2B marketers cite correct attribution as one of their biggest challenges. Only 18.2% use integrated attribution across channels; nearly 90% still rely on single-touch or basic multi-touch models.

This matters because B2B buyers touch a brand 8-12+ times before converting. When 81% of the buying journey happens before sales is ever engaged (up from 70% in 2024, per Dreamdata), last-touch attribution is basically giving credit to the last person who touched the trophy before the team photo.

The recommended model for B2B pipeline tracking is the W-Shaped Model: 30% credit to first touch, 30% to lead creation, 30% to opportunity creation, and 10% distributed across middle touches.

Teams using multi-touch attribution see 37% more accurate ROI measurement than those using last-touch models, according to SaaS Hero's 2025 analysis. And when LinkedIn engagement data is included in revenue attribution modeling, there's a 7.7X increase in revenue attribution accuracy, per Dreamdata.

This is where tools matter. If your attribution setup is a spreadsheet that someone manually updates every Friday, you're building a house on sand.

Factors.ai's cross-channel attribution connects every touchpoint, from first click to closed deal, across web, ads, CRM, and G2. The platform's LinkedIn AdPilot and Google AdPilot layers add campaign-level precision with view-through attribution, impression-level analytics, and conversion impact tracking. This means you can actually answer the question, "Which channels drove this pipeline?" with data instead of vibes.

4. Frequency capping and ad fatigue

Seeing the same ad repeatedly can lead to a 37% drop in engagement, according to Cropink's 2025 data. Seeing the same ad too many times doesn't just annoy your prospects; it actively hurts performance.

Best practice: limit exposure to 5-7 impressions per user and rotate ad visuals and copy every 4-6 weeks across platforms. On LinkedIn specifically, watch for week-over-week CTR decline. That's your creative fatigue signal.

Factors.ai's LinkedIn AdPilot includes impression pacing controls that help avoid over-serving accounts. Instead of blasting the same 50 people at one company with the same ad until they hate you, you can distribute impressions strategically across your target buying committee. More on this when we talk about ABM.

Measuring what actually matters: ROI, pipeline, and revenue

If you take one thing from this entire blog, let it be this: stop measuring paid ads by CPL alone.

CPL is a vanity metric in B2B. A $30 lead that never converts to an SQL costs you more than a $150 lead that closes a $50K deal. I know this sounds obvious. And yet, I see B2B teams celebrate ‘record low CPL’ while their pipeline looks like a ghost town.

The metrics that matter

• Cost Per Qualified Lead (CPQL):
  What does it actually cost to acquire a lead your sales team considers worth pursuing?
• Cost Per Opportunity (CPO):
  What does it cost to generate a real pipeline opportunity?
• Pipeline Velocity:
  (Number of Opportunities × Average Deal Size × Win Rate) / Sales Cycle Length.
  This tells you how fast your pipeline is generating revenue.
• Marketing-sourced pipeline:
  Strong demand generation programs generate 30–60% of total sales pipeline from marketing, according to B2B benchmarks from Martal Group.

B2B Customer Acquisition Cost: the numbers

Let’s talk CAC, because this is where paid ads management gets real.

Customer acquisition costs vary dramatically by channel and industry. Research datasets compiled from B2B campaigns show that blended CAC across B2B companies averages around $300 based on Optifai’s Sales Ops Benchmark covering 939 companies between Q1–Q3 2025. 

But CAC isn’t static… the economics of digital acquisition have changed significantly over the past decade.

• CAC has increased by about 60% over the past five years across industries as competition for paid channels has intensified.
• Over a longer period, acquisition costs have surged roughly 222% over eight years, reflecting rising ad costs and channel saturation.

For SaaS companies, efficiency is typically measured using the CAC ratio, which compares acquisition spend to new revenue generated.

Benchmark data shows that the median SaaS company now spends about $2.00 in sales and marketing to acquire $1.00 of new ARR. 

This means many companies are operating with increasingly tight acquisition economics.

To keep growth sustainable, investors and operators typically look at the LTV:CAC ratio.

• A 3:1 LTV-to-CAC ratio is widely considered the healthy benchmark for SaaS businesses, meaning each customer should generate three times more lifetime value than it costs to acquire them.

Companies below that threshold often struggle to sustain growth without dramatically improving retention or reducing acquisition costs.

The ABM and intent data power play

The 95-5 rule in B2B marketing states that roughly 95% of your potential buyers aren’t currently in the market, leaving only **5% actively researching solutions. 

That means 95% of the people seeing your ads aren't ready to buy. If your paid ads management strategy treats everyone the same, you're spending 95 cents of every dollar on people who aren't going to convert right now.

This is where ABM (Account-Based Marketing) and intent data change the game.

ABM is no longer a buzzy-buzzword

A 2025 survey of 771 marketers by Outcomes Rocket found that about 71% of B2B organizations are actively implementing ABM strategies. Meanwhile, industry data compiled by Marketing LTB shows companies dedicate around 29% of their marketing budgets to ABM, with 28% of that spend going to paid media.

And the results? Pretty compelling:

• 208% increase in marketing-generated revenue for companies adopting ABM
• 60% higher win rates when ABM aligns with account-based advertising
• Ad-influenced accounts progress through pipeline 234% faster
• Companies using ABM report 28% faster sales cycles, 35% higher close rates, and up to 200% larger deal sizes

This is a fundamentally different operating model… instead of casting a wide net and hoping the right fish swim in, you're identifying specific accounts showing buying signals and putting your ad budget behind them.

How does intent data transform ad targeting?

Intent data tells you which companies are actively researching topics related to your solution. When you layer intent signals into your ad targeting, the results are dramatic:

• The Foundry experiment showed intent-based ads were 2.5× more efficient and achieved a 220% higher CTR compared to control campaigns.
• 93% of marketers say their lead conversion rate increases when using intent data
• Bombora states that marketing teams using intent data can see up to 70% higher conversion rates.
• Landbase research reports 61% of B2B teams achieve full ROI within six months of implementing intent-data programs.

The practical application: identify accounts showing intent signals (website visits, G2 research, content consumption, ad engagement), build dynamic audience lists from those accounts, and target them with relevant ads across Google and LinkedIn.

Factors.ai captures multi-source intent from website visits, CRM activity, ad engagement, G2 reviews, and third-party providers like Bombora. The platform's AI-powered scoring prioritizes accounts based on engagement intensity and buying behavior, then automatically updates ad audiences across LinkedIn and Google through its AdPilot tools. So as accounts move through the funnel, your targeting moves with them. No manual list uploads. No stale audiences.

Retargeting: The ROI machine

Retargeted users are significantly more likely to engage and convert than cold audiences. Industry benchmarks show that retargeted users are up to 3× more likely to engage and convert at 2–4× higher rates, while retargeting campaigns can deliver up to 50% lower cost-per-acquisition compared to traditional search ads 

For LinkedIn specifically, many B2B SaaS teams structure budgets across the funnel rather than concentrating spend only on demo campaigns. Based on an analysis of 200+ B2B SaaS LinkedIn ad accounts, Impactable recommends a 60 / 25 / 15 funnel allocation.

• 60% Top-of-funnel awareness to build retargeting audiences
• 25% Mid-funnel consideration to nurture engagement with relevant content
• 15% Bottom-funnel conversion focused on demos, trials, and pipeline creation

CRM-based bottom-of-funnel retargeting delivers the lowest CPLs with the highest revenue conversion. Meanwhile, cold native prospecting (targeting by job title and company size alone) runs $300–$600+ CPL and should primarily be viewed as a mechanism for building retargeting pools, not as a direct conversion play.

This is a mental shift many B2B teams struggle with. Your top-of-funnel LinkedIn spend isn't "wasted" just because it didn't generate leads directly. It's feeding the retargeting engine that actually converts.

AI, first-party data, and what's changing now

I could write an entire separate blog about AI in advertising (and we actually have one: check out our guide on AI in B2B marketing). But here are the developments that directly impact how you manage paid ad campaigns right now.

1. AI is table stakes now

88% of digital marketers use AI in daily tasks, per SalesGroup AI's 2025 report. More importantly for paid media teams, automation already dominates ad bidding. Google reports that more than 80% of Google Ads advertisers use automated bidding strategies powered by machine learning, meaning the majority of ad spend already flows through AI-driven optimization systems.

The major platform-level AI updates worth knowing:

1. Google AI-driven campaign automation:
   Google continues pushing advertisers toward automation across Search and Performance Max. Google reports that Smart Bidding helps advertisers increase conversions or conversion value while maintaining the same CPA or ROAS targets by using machine learning to optimize bids across billions of signals in real time.
2. Google’s full-funnel AI campaign stack:
   In 2025 Google began positioning Demand Gen campaigns, Performance Max, and AI-powered Search automation as a unified full-funnel approach for modern advertisers. This strategy encourages marketers to combine discovery, consideration, and conversion campaigns under automated optimization.
3. LinkedIn Accelerate Campaigns:
   LinkedIn introduced Accelerate, an AI-powered campaign creation tool that builds audiences, recommends targeting, and generates creative from a landing page URL to help marketers launch campaigns faster.
4. LinkedIn Flexible Ad Creation:
   LinkedIn’s Flexible Ad Format allows advertisers to upload multiple images, videos, and copy variations, with the platform automatically testing combinations to optimize performance.

The theme across both platforms: more AI, more automation, and more need for clean data inputs. The marketers winning with AI aren't the ones pushing buttons differently. They're the ones feeding better data into the system.

2. First-party data is your new competitive advantage

75% of B2B marketers are transitioning toward first-party data strategies as privacy regulations and signal loss reshape digital marketing, according to Gartner research cited by S2W Media. Companies that effectively activate first-party data can see up to a 2.9× revenue uplift and 1.5× cost savings through improved targeting, personalization, and customer insights. Forrester research similarly shows that businesses leveraging first-party data experience a 2× increase in conversion rates and up to a 30% reduction in customer acquisition costs by building more accurate audience profiles and reducing dependence on third-party signals.

The key tactics: Customer Match on Google, Matched Audiences on LinkedIn, Enhanced Conversions, LinkedIn CAPI, and server-side tracking. All of these connect your owned data to the ad platforms.

Google reversed its decision to deprecate third-party cookies in July 2024 and formally discontinued the Privacy Sandbox initiative in October 2025. Cookies remain in Chrome. But the industry's shift toward first-party data is irreversible because it simply performs better. The companies that invested in first-party data infrastructure are seeing better results regardless of what happens with cookies.

3. Marketing budgets: the reality check

Marketing budgets remain flat at 7.7% of company revenue for the second consecutive year, according to Gartner’s 2025 CMO Spend Survey, which analyzed responses from 402 CMOs and marketing leaders across North America, the UK, and Europe.

Within those budgets, paid media now accounts for 30.6% of total marketing budgets, making it the largest spending category and the only area that has consistently grown its share of budget over the past five years.

At the same time, digital channels now represent 61.1% of total marketing spend — the highest level recorded since Gartner began tracking the metric.

The message is clear: budgets aren't growing, but the share going to paid ads is. Which means every dollar spent on your paid ad management needs to work harder. Efficiency is no longer optional.

Wrapping up: The paid ads management playbook

Here's what I want you to walk away with.

Paid ads management in B2B isn't about picking the right platform. It's about building a system where your ad spend connects to revenue, not just clicks.

Google captures intent. LinkedIn creates it. Together, they work better than either one alone. The data backs this up: combined exposure lifts search conversions by 46%, and LinkedIn's ROAS of 121% outperforms every other B2B channel.

But the real competitive edge? Measurement infrastructure. Only 18.2% of B2B marketers use integrated cross-channel attribution. If you can connect the dots from ad impression to closed deal, you're already ahead of 80% of the market.

The winners in B2B paid ads aren't spending more. They're measuring better. They're feeding clean data back to ad platforms. They're using intent signals and ABM to focus budget on the 5% of accounts actually ready to buy. They're running the unsexy weekly optimizations (negative keywords, search term reviews, creative refreshes) that compound over time.

And they're doing it with tools that connect the full picture: from impression to pipeline to revenue.

If your current setup involves bouncing between two dashboards, manually reconciling data in spreadsheets, and reporting CPL to leadership because you don't have anything better... that's okay. Every team starts somewhere.

But now you know what "better" looks like. So go build it.

FAQs for paid ads management

Q1. What is paid ads management?

Paid ads management is the process of planning, launching, optimizing, and measuring paid advertising campaigns across platforms like Google Ads and LinkedIn. For B2B companies, this includes campaign structuring by buyer intent, bid management, audience targeting, creative testing, budget allocation, and connecting ad performance to CRM and pipeline data. It goes far beyond clicking "publish" and hoping for the best.

Q2. How much should a B2B company spend on Google Ads?

It depends on your industry, average deal size, and competitive landscape. Most B2B SaaS companies allocate 35-45% of their total paid media budget to Google Ads. For reference, the average B2B CPC on Google Search runs $3.33-$8.86 depending on vertical, and the average cost per lead ranges from $103-$134. A reasonable starting point for B2B Google Ads is $5,000-$15,000 per month, though enterprise companies often spend significantly more.

Q3. What's a good CTR for B2B LinkedIn Ads?

The global average CTR for LinkedIn Ads is 0.50-0.52%. For B2B SaaS specifically, CTR ranges from 0.82% to 1.05% depending on the quarter. Campaigns with CTR above 0.7% tend to enjoy 15% lower CPCs, so optimizing for engagement rate has a direct cost benefit. Document Ads and Thought Leader Ads consistently outperform standard formats on CTR.

Q4. How do I measure ROI from B2B paid ads?

Stop at CPL, and you'll miss the full picture. The metrics that matter for B2B are Cost Per Qualified Lead (CPQL), Cost Per Opportunity (CPO), pipeline velocity, and ROAS. You need multi-touch attribution (the W-Shaped model works well for B2B) and CRM integration so offline conversions flow back to your ad platforms. LinkedIn CAPI and Google Enhanced Conversions are essential for capturing the full conversion picture.

Q5. Is Google Ads better or LinkedIn Ads?

Neither. They serve different purposes. Google captures existing demand through search intent. LinkedIn creates demand by reaching specific job titles and companies. The data shows they work best together: audiences exposed to both platforms convert at significantly higher rates, and LinkedIn paired with search advertising lifts search conversions by 46%. The recommended approach is to run both with coordinated targeting, attribution, and budget allocation.

Q6. What's the biggest mistake in B2B paid ads management?

Optimizing for the wrong metric. When you optimize for CPL alone, you end up with cheap leads that never become pipeline. The biggest unlock is value-based bidding with CRM integration, where your ad platforms optimize for revenue, not form fills. Close behind: not running negative keywords (84% of advertisers use fewer than 50), sending traffic to generic pages instead of dedicated landing pages, and treating Google and LinkedIn as separate strategies instead of one coordinated system.