TL;DR
- What it is: A 5-step workflow that uses Lusha’s native Clay integration to turn a company’s CRM closed-won data — its most accurate ICP — into a lookalike prospecting engine, expanding a small list of successful customers into hundreds of enriched, signal-scored prospects.
- How it works: Export closed-won accounts into Clay, run Lusha enrichment to build an ICP blueprint (company size, industry, location, verified headcount), then use Lusha’s recommendation engine to generate a lookalike list — in one demo, 50 accounts became 600+ enriched lookalikes.
- How to prioritize: Lusha’s signal layer scores the lookalike list by headcount growth, web traffic, and executive hires/funding so reps know which “in motion” accounts to call first, before the enriched, prioritized list is pushed back into Salesforce.
- Why it matters: As Everett Berry, Head of GTM Engineering at Clay, put it, Lusha expanded a starting list of roughly 50-100 companies to almost 600 — many not already in the CRM — replacing gut-feel prospecting with a data-driven, revenue-generating system.
Every sales leader wants more perfect-fit leads, yet most teams build their prospecting lists based on gut feel or broad filters.
The result? Mediocre conversion rates and wasted outreach. The solution isn’t more data—it’s better signals.
By building an ICP blueprint from your actual sales history, you can move away from manual searching and toward a high-velocity lookalike engine.
From archive to engine: The 5-step workflow
We recently sat down with Clay to demonstrate how to stop treating your CRM like a graveyard and start using it as a launchpad.
Here is the framework for building a lookalike engine that scales.
1. Define your ICP
Most ICPs live in a slide deck built on assumptions.
Your closed-won data is different—it’s empirical. It tells you exactly which industries, sizes, and growth trajectories actually convert.
- The action: Export the accounts you’d clone if you could. Feed that list into Clay.
2. Build the blueprint with Lusha
Once your wins are in Clay, run Lusha enrichment. You aren’t just doing data entry; you are building a precise profile of your buyer.
- The data: Pull company size, industry, location, and verified headcount.
- The goal: Create a blueprint that tells the system exactly what to look for next.
3. Generate a lookalike list
Using Lusha’s recommendation engine inside Clay, you can transform a small sample into a massive opportunity. In our recent demo, 50 accounts became 600+ enriched lookalikes. These are accounts your reps have likely never touched, but they match your successful history almost perfectly.
4. Score by signal, not instinct
A list is only useful if you know who to call first. We use Lusha’s signal layer to find companies “in motion”:
- Headcount growth: Are they hiring?
- Web traffic: Is their digital footprint expanding?
- Executive hires/funding: Are there “change events” that indicate a budget is available? The companies matching your blueprint and showing activity become your priority tier.
5. Push back to CRM
The final step is removing the “admin tax” from your reps. The top-tier prospects are pushed back into Salesforce—enriched and prioritized. Your team spends Monday morning selling, not researching.
Quality data: The foundation of the stack
For GTM teams, the quality of the data determines the outcome. A lookalike engine built on stale data produces mediocre results quietly, wasting months of sales effort before anyone notices the lack of conversion.
“If I started with maybe 50 or 100 companies, Lusha has expanded that list into almost 600 companies, many of which I likely don’t have in my CRM.” — Everett Berry, Head of GTM Engineering at Clay
When your ICP blueprint is built on Lusha’s verified, continuously updated data, the output reflects reality.
That’s the difference between a simple list and a revenue-generating system.
Build it yourself
The recording of this build is available now. Watch Everett Berry walk through the process live, inside a real Clay table, with real data.
Keep reading:
