"Audit" sounds like a slide deck nobody reads. This isn't that. It's a tightly-scoped diagnostic with one job: find where your revenue actually stalls, and prove it with your own data — so the build that follows is aimed at the right thing.

Here's what it looks at, and what you walk away with.

What we map

Most "growth problems" are really one of a few things wearing a costume. The audit traces the path from raw behavior to revenue and finds where it breaks:

  1. Instrumentation — are the events, traits, and identifiers that every later decision depends on actually being captured cleanly? Usually the first leak is here.
  2. Identity & data trust — can you stitch leads, users, and accounts into one profile your team can target on without second-guessing it?
  3. The conversion path — where in the funnel do users stall, and which value moments are you failing to deliver or measure?
  4. The bottleneck — what's actually stopping your team from fixing any of it themselves? (It's usually the engineering queue, not the ideas.)
A data platform strategy mapped on a whiteboard — sources, ingestion, storage, transform, presentation.
The audit traces the whole spine — sources → ingestion → storage → transform → presentation — and marks exactly where revenue leaks out of it.

You don't get opinions. You get a map of your biggest gaps, the data behind them, and what to do first.

What you walk away with

Three things, in two weeks:

  • — A ranked map of your biggest conversion gaps, each tied to the data that proves it.
  • — A prioritized 90-day build plan — what to fix, in what order, and why that order.
  • — A clear read on what your team can own versus where you need a build partner.

It's deliberately a low-commitment entry point. You see exactly what a build would target — and the evidence for it — before you spend a dollar building. If the answer is "your team can run this themselves," that's a perfectly good outcome, and you'll know it.