Targeting that tunes itself.
Define your ideal customer, or let the operator infer it from your product, then watch it sharpen from every reply.
Builds your ICP
Set your ideal customer, or let the operator infer it from your URL.
Targets by intent
Turns the ICP into concrete targeting against live buying signals.
Tunes from replies
Adjusts targeting automatically from who actually engages and converts.
Steerable anytime
Override any part of the strategy whenever you want, and it adapts.
A cycle you can watch, step by step.
Your ICP, always current.
Describe your ideal customer in plain language or let the operator infer it from your product, and watch it stay accurate as the market and your replies tell it more.
It learns what's working.
Targeting is not a one-time setup. The operator reads which segments reply and quietly shifts aim toward them, so your strategy compounds instead of drifting.
Built to run, not to sit in a dashboard.
Closed-loop.
It refines targeting from real reply data, not one-time guesses, so the aim improves with every cycle.
Intent-rich.
You describe your ICP in natural language, not just firmographic dropdowns, so the targeting captures what actually makes a fit.
Steerable.
Override any part of the strategy at any time, and the operator folds your change into the next run.
The details, answered.
How does it build my ICP?
Point Operator at your product URL and it reads what you do, who it is for, and the problem it solves, then drafts a starting ICP from that. You can also write the ICP yourself in plain language. Either way it gets decomposed into concrete, queryable targeting criteria, so the description you give actually maps to buyers it can find.
Do I have to define the ICP myself?
No. The inferred ICP is a usable starting point on its own, so you can launch without writing anything. Most founders tweak it once they see the first prospects, but that is a refinement, not a requirement to get going.
Can I correct it?
Yes, every part of the strategy is steerable. Adjust the ICP, exclude segments that are not a fit, add must-have criteria, or change priorities, and Operator folds your change into the next cycle. Corrections stick and shape future runs rather than being a one-off filter.
How does it tune itself?
It watches which segments actually reply and convert, then shifts targeting toward the ones that work and away from the ones that do not. Because it learns from real engagement rather than your initial guess, the aim sharpens with every cycle instead of drifting, and you do not have to manually re-tune it.
What if my market is niche?
Describing your ICP in natural language is built for exactly this: you capture the specific traits that make a fit, not just broad firmographic dropdowns. The criteria are matched against live signals and refined from who replies, so even a narrow, hard-to-name segment gets found and sharpened over time.
Can I run multiple ICPs?
Yes. You can target several ideal-customer definitions at once, and Operator tunes each one independently from its own replies. That lets you test a new segment alongside a proven one without one diluting the other.