Pocus

Pocus started with a complaint that almost every modern sales team would recognize: there was too much data and not enough direction. Reps had dashboards, product logs, CRM fields and a firehose of intent signals - and still guessed at which accounts to call. Founded in 2021 by Alexa Grabell and Isaac Pohl-Zaretsky, Pocus set out to answer three plain questions on a rep's behalf: which accounts to work, who to contact, and what to say.

The company's name and logo - a crystal ball - captured the idea without overselling it. Pocus was not predicting the future by magic. It was reading signals that were already sitting in a company's own data: a spike in product usage, a new executive hire, a funding round, a burst of visits to a pricing page. Stitched together, those signals told a rep when an account was warming up. That reframing helped give a name to a category people now call product-led sales.

By 2026, the approach had proven itself enough that Apollo.io - a go-to-market platform used by hundreds of thousands of companies - acquired Pocus to serve as the intelligence layer on top of its outbound engine. Terms were not disclosed. What follows is a plain-language profile of what Pocus built, who used it, and where it fit in the market.

Traditional sales intelligence sorted accounts by what they were: industry, headcount, revenue band. Useful, but static. A 500-person software company looks the same on Monday as it does the day it starts hunting for a new tool. Firmographics can tell you an account fits your profile; they cannot tell you it is ready.

Pocus leaned on behavior instead. Its pitch to product-led companies was direct: you already have the strongest buying signal there is - people using your product - so why work a cold list? By reading usage alongside CRM and web signals, Pocus could surface an account at the moment interest spiked, then hand the rep a warm, specific reason to reach out. That is the difference between spray-and-pray outbound and what the industry took to calling warm outbound.

The competitive field around this idea included tools like Correlated, Endgame, Calixa, MadKudu and HeadsUp, plus broader revenue-intelligence platforms. Pocus's angle was to combine signal aggregation with AI-generated guidance - not just flagging that something happened, but telling the rep what to do about it.

The idea for Pocus grew out of lived experience. Before founding the company, Alexa Grabell led sales strategy and operations at the AI company Dataminr, where she watched revenue teams wrestle with exactly the data-rich, direction-poor problem Pocus would later target. She co-founded the company in April 2021 while finishing her last semester at Stanford Graduate School of Business, with Isaac Pohl-Zaretsky joining as CTO to lead engineering.

Grabell became a visible voice for the product-led sales category, speaking about turning revenue data into action and about building healthy revenue-team culture. That perspective - operator first, founder second - shaped a product designed around how reps actually work rather than how a dashboard looks.

Modern go-to-market software splits, roughly, into three jobs: find the data, decide what matters, and execute the outreach. Apollo.io was already strong at the first and third - a database of 230M+ contacts and outbound tooling used by more than 600,000 companies. What it wanted was the middle: the layer that decides which accounts deserve attention right now. That is precisely the job Pocus was built to do.

Seen that way, the 2026 acquisition reads less like a startup shutting down and more like a market settling into shape. Prioritization without execution is a report nobody acts on; execution without prioritization is noise at scale. Pocus's signal-processing layer, plugged into Apollo's reach, is a bet that the two belong in one system.