Strategy

    Targeting that starts from your URL.

    Strategy drafts your ideal customer from your product site, turns it into criteria Operator can search on, and proposes changes as real replies come in.

    TargetingAuto-tuned
    ICPOps heads at 10-50p SaaS
    GeographyUS, Canada
    Watching
    HiringFundingTech fit
    Confidence
    92%

    How does LaunchSurface decide who my ideal customer is?

    When you enter your product URL, LaunchSurface reads the site and drafts an ideal-customer profile: who the product is for, the problem it solves and the roles that buy it. That profile is compiled into concrete search criteria, such as titles, company size, industry and the triggers worth watching, which Operator uses to source prospects. You can rewrite it in plain language at any time. As replies come in, Operator compares which segments respond and can propose a refinement. Refinements and targeting changes wait for your approval unless you switch on auto-approve. You can run 1 on Starter, 3 on Growth and Unlimited on Scale.

    Off by default
    Auto-approval of Operator-proposed ICP refinements and targeting changes. Until you turn it on, each change waits for your sign-off.
    Source: Operating-contract defaults
    Unlimited
    ICPs on Scale. In full: 1 on Starter, 3 on Growth and Unlimited on Scale, each tuned from its own replies.
    Source: Plan limits

    Drafts your ICP

    Reads your product site and writes a starting ideal-customer profile.

    Compiles criteria

    Turns the profile into titles, size, industry and triggers Operator can search on.

    Proposes refinements

    Suggests changes when one segment clearly out-replies the others.

    Stays yours

    Edit any part in plain language; approval gates are on by default.

    How it works

    A cycle you can watch, step by step.

    [01]ReadRead your product site to learn who it is for and what it solves.
    [02]DraftWrite a starting ideal-customer profile you can edit.
    [03]CompileTurn the profile into search criteria and triggers.
    [04]RefinePropose changes from which segments actually reply.
    ICP

    A starting point in minutes, not a workshop.

    You do not have to write the profile yourself. The draft from your site is usable on day one, and you can correct it in plain language whenever the first prospects show you what is off.

    TargetingAuto-tuned
    ICPOps heads at 10-50p SaaS
    GeographyUS, Canada
    Watching
    HiringFundingTech fit
    Confidence
    92%
    Closed loop

    Refined from replies, with you in the loop.

    Operator reads which roles and industries reply in its experiments and proposes a refinement when a segment clearly wins. You approve it, or turn on auto-approve and let it apply.

    Variant A · 9% reply +2pts
    Variant B · 14% reply +5pts
    Variant C · 10% reply +1pt
    Why it's different

    Built to run, not to sit in a dashboard.

    Inferred, then editable.

    The profile starts from your product, not a blank form, and every part of it can be rewritten.

    Plain language in, criteria out.

    You describe the prospect the way you would to a colleague. Strategy compiles it into criteria a search can use.

    Changes are gated.

    Operator proposes; you approve. Auto-approve is a switch you turn on, not a default you discover.

    FAQ

    The details, answered.

    Do I have to define the ICP myself?

    No. The profile drafted from your site is a usable start. Most founders adjust it after they see the first prospects, but nothing requires it.

    Can I correct it?

    Yes. Edit the profile, exclude segments, add must-have criteria or change priorities. Operator reads the current version at the start of every cycle.

    How does it tune itself?

    Operator runs its outreach as experiments. When one role or industry clearly out-replies the rest, it proposes an ICP refinement. By default the proposal waits for you; with auto-approve on, it applies immediately.

    Can I run multiple ICPs?

    Yes: 1 on Starter, 3 on Growth and Unlimited on Scale. Each is tuned from its own replies, so a new segment can run next to a proven one.

    Set the aim once. Approve it as it sharpens.