AI ABM Co-Worker for B2B Teams: Account Intelligence, Pipeline Signals & Scout | Factors.ai

Hi,

I'm Srikrishna, co-founder and CEO at Factors.ai.

I know I promised you a newsletter about building a company with friends.. and that's still coming. But something else happened recently that I need to tell you about first.

When Praveen, Aravind, and I started Factors in 2020, we were trying to solve one problem.

Marketers were spending serious money across channels and had no way to connect any of it to revenue. The data existed.. website visits, ad clicks, LinkedIn engagement, CRM records, and product events. But it sat in silos, owned by different teams, living in different tools. Nobody had the full picture of any account at any time.

So we built the data layer. Ingested signals from every source. Stitched them together into a single account view. It took years to get right, and we're proud of it.. because without that foundation, nothing that comes next would be possible.

But here's what we kept hearing from customers, even after they had everything in one place: "We can see it all. We just don't know what to do with it."

In fact, one of our customers told me a story last quarter that stuck with me.

Their SDR was working an account through Sales Navigator.. sending emails, building rapport, doing everything right. What he didn't know: marketing had been running LinkedIn ads to that same account for three weeks. The account had visited the pricing page four times. Someone from their finance team had clicked a retargeting ad two days before his outreach.

But nobody connected those dots in time, the SDR reached out cold, and the account went quiet.

I wouldn’t call this a failure of effort, but a failure of assembly. The signals were all there. They just existed in different places, accessed by different people, and by the time anyone had the full picture, the window had closed.

I’m sure you could relate with this story.. because it's the default for most B2B teams.

My point is this.. data without action is just a very expensive dashboard.

What B2B teams actually need is someone who already knows everything about an account.. and can tell them what to do next.

Think about what it actually took the last time you closed a large enterprise deal. It was an orchestra playing over six to nine months. The SDR outreach at the right cadence. Executive briefings timed correctly. LinkedIn ads hitting decision makers while the AE was building relationships. Analyst content consumed in the background. Events with the right people invited.

Everything reinforcing everything else.

Most teams have no way to see that full pattern. So when they want to replicate it for the next account, they copy the campaign creatives, build a lookalike audience, and hope the pattern holds. But it usually doesn't.

The best marketers I've met don't just work with data.. they carry years of pattern recognition. They've seen what a deal looks like when it's about to close. They know which signals matter and which ones are noise. They can look at an account and feel where the gap is.

That kind of judgment takes time to build. And for most teams, it resides in one or two people's heads.

So, that's the problem we decided to solve next.

Meet Scout.

Scout is the AI layer sitting on top of everything Factors already knows about your pipeline.

Ask it what happened to a deal that went quiet. It'll trace the full engagement history.. last touchpoints, where the conversation stalled, and which channels were active. Ask it which accounts in your pipeline match the pattern of your last five closed-won deals. It'll show you. Ask it to find accounts that recently hired a new CMO, raised a Series B, or adopted Salesforce in the last 90 days. It adds that column to your segments and pushes it straight into account scoring or a LinkedIn audience.

Note: In case you missed it, this doesn’t need any exports to Clay, credits spent re-importing data and no waiting on your ops team.

You ask and Scout simply acts.

More importantly, Scout doesn't start from zero on every account the way every other tool does. It already knows your CRM, your website, your ad history, your Gong calls, and every signal Factors has ever collected about that account. It layers public intelligence on top of what you already know.. not instead of it.

Factors started because marketers couldn't tie their spend to revenue.

We spent five years building the data layer that makes that possible.. ingesting signals from every source, stitching them together, getting the foundation right.

Scout is what we were always building toward.. an AI ABM co-worker who already knows your pipeline, and what is happening in every account the company cares about.. and can help you do something about it.

If you want a walk-through of everything Scout can do, reply to this email or DM me directly. Happy to show you.

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-Sri Co-founder & CEO, Factors.ai