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Use case · ICP and targeting strategy

Know exactly who to sell to, and why.

Most ICPs are written once, argued over, and never touched again. This use case keeps yours alive: every campaign result, reply, and closed deal feeds back into who you target next, and every revision comes to you with the evidence attached.

  • A structured Customer Profile: industries, sizes, roles, and the disqualifiers that save you time
  • Ranked customer groups proposed from market analysis, approved or rejected by you
  • Revisions proposed from real conversion data, never from a workshop
  • Segment scorecards showing which slices of your market actually convert
  • Feeds every other use case: outbound targeting, content topics, competitive scope
Living
profile that updates from evidence, not opinions
Ranked
customer groups with the reasoning attached
1 source
of targeting truth for every campaign
How it runs

From setup to outcome.

01 · Baseline

Profile built

From your site, your deals, and an optional working session. Structured, not a paragraph.

02 · Attribute

Results mapped

Every campaign outcome maps back to the customer group that produced it.

03 · Propose

Revisions arrive

Significant deltas become proposed changes in your queue, with the data that justifies them.

04 · Propagate

Everything updates

Approved changes flow to outbound targeting, content topics, and competitive scope automatically.

Proof, not promises

Our own targeting narrowed itself twice last quarter.

The same evidence loop that would run on your pipeline ran on ours and cut a segment that looked right but never replied. The reasoning is in the revision history, dated.

Common questions

Before you ask.

We already have an ICP doc. Is this redundant?+

Bring it; it becomes the baseline. The difference is what happens after: yours updates from evidence instead of aging in a drive.

Does this work without the outbound use cases?+

Yes, from your CRM history and site, though it sharpens fastest when campaign results flow in continuously.