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Clone my best customers

You have wins, not a repeatable pattern.

Upload your closed-won list. We extract the ICP hiding inside it, score it for discovery-readiness, find lookalike accounts you've never touched, and engage them. You can inspect the score line by line before anything sends.

Find your lookalikes → See the steps
Who this is for

Teams with wins and no repeatable motion.

The exchange

What you bring. What you get.

What you bring

  • A closed-won CSV — the deals you've already won.

What you get

  • The extracted ICP — persona, pains, anti-ICP, and bounds — with a readiness score you can inspect line by line.
  • Net-new lookalike prospects — accounts you've never touched.
  • Approved two-touch outreach — email and LinkedIn, reviewed in send order.
This scenario through the engine

Four steps from wins to a pattern.

01

Upload closed-won

A CSV of the deals you've already won. The pattern is already in there — this step is just handing it over.

02

Read the extracted ICP

Persona, pains, anti-ICP, and bounds, carrying a discovery-readiness score you can inspect line by line. Every point shows its source.

03

Approve the lookalikes

Net-new accounts you've never touched, sourced against the extracted ICP. Weak fits are held up front for your call.

04

Review both touches, then drop

Email and LinkedIn, shown together in send order. Send now or schedule, read the report, and promote winners to Kampaign.AI.

The GTM Bomber project view. A project generated from a 214-row closed-won CSV, showing 8 ICP campaigns split into 3 ready to run, 3 needing work, and 2 blocked, with 96 prospects sourced. Each campaign card shows a discovery-readiness score out of 100, the persona and company size it targets, how many prospects were sourced and flagged, and a Review prospects action.
The project view, built from a closed-won CSV. Each campaign is an ICP extracted from your wins, carrying its own discovery-readiness score — and ready, needs-work, and blocked are separated up front, so the weak fits are the first thing you see rather than something you discover after sending.
Questions

Before you start.

What is an anti-ICP?

The shape you should not chase. It's extracted alongside the ICP so the bounds are explicit rather than implied — knowing who to skip is half of knowing who to target.

Can I see why the ICP scored the way it did?

Yes. The readiness score is inspectable line by line, and every point in it shows its source. No black boxes.

Are the lookalikes accounts I already know?

No — they're net-new accounts you've never touched, sourced against the ICP extracted from your wins. If you'd rather test a list you already have, that's Test my target accounts.

Does anything send without me?

No. Weak fits are held up front for your call, and you review both touches — email and LinkedIn, in send order — before the drop goes out.

What happens to a campaign that works?

Promote it to Kampaign.AI for full orchestration. GTM Bomber's job is to find the pattern worth scaling, not to run it forever.

Other starting points

Different thing in hand?

Find my ICP

You have a product, not a target.

Test top-down →

Test my target accounts

You have a list, not a signal.

Probe your accounts →

Bring your closed-won CSV. Leave with a tested GTM.

Start a project →