Keystone learns from the customers you've closed — and the ones you lost — then finds the accounts that look like your winners and skips the ones that look like your losers. So your cost to acquire holds as you scale, instead of climbing.
You pick an industry and a company size, a tool hands you a list, and you spray it. It works — until the good-fit accounts run out and you're paying more and more to reach people who were never going to buy. That's why acquisition cost climbs as you scale. The list was never trained on who actually pays you.
Connect your CRM or drop a list of closed-won and closed-lost accounts. That's the only ground truth that matters — and the part most tools throw away.
Keystone maps your market and surfaces the account clusters that pay, the ones that look just like them, and the traits that predict a loss — and shows you the rules, not a black box.
Push the winning accounts to email, ads, and your CRM. Every deal you close feeds back in, so the map — and your CAC — gets sharper each cycle.
Your outcomes, not a generic model. The map is built from your wins and losses, so it reflects who pays you — not an industry average.
Exportable rules, not a black box. You see exactly why an account scores high. Intent vendors hide their weights — Keystone hands them to you.
Negative lookalikes. Keystone tells you who to stop paying for — the traits that predict a loss. Almost nobody else will.
A loop, not a list. Results flow back as new labels and the model re-trains. The longer you run it, the lower your CAC goes.
CAC that holds as you scale — then falls as the map sharpens.
Because you're only ever spending on look-alikes of proven buyers — and never on the long tail that quietly drains budget — your unit economics stop degrading with volume.
Acquisition that compounds instead of resetting every quarter. That's the whole idea.
A 30-minute fit call: we'll look at your won and lost deals and show you what the map would surface — before you commit to anything.