Am I reaching the people
I built this for?
One honest question. Answer a few things and it resolves into a Mark.
Who are we looking at?
A name makes it yours; the four choices fit the benchmarks to your world.
Of everyone your spend touches,
who did you actually mean?
Two signals: the share of spend that lands on people outside your audience, and the share of arrivals who are the right ones.
e.g. 28 — the share of spend reaching people outside your defined audience
e.g. 38 — the share of leads, signups or visitors who fit who you're for
Are the customers you win —
and the revenue — the ones you designed for?
The last two gates: whether new customers match the profile, and whether the money itself comes from the audience you claim.
e.g. 62 — the share of new customers who match your ideal profile
e.g. 72 — the share of revenue coming from your core audience
What does your gut say?
We'll hold this against what the data shows — the gap is where the insight lives.
Audience Intelligence answers one question: are you reaching the people you built this for. It reads identity at four checkpoints of the same pipeline — how much spend lands on people you never meant to talk to, how many arrivals are the right ones, whether the customers you win match the profile, and whether the revenue itself comes from the audience you claim — resolved into one verdict.
This engine measures composition, where Conversion Intelligence measures movement. Conversion asks how many people advance through the funnel; this engine asks whether they were the right people at each gate. A business can pass the first two checkpoints and fail the last two — the right people show up, but the money still comes from off-profile customers, which means the positioning and the P&L disagree about who the customer is. What this engine doesn't tell you is what those people think of you, or what you should say to them. Those are different questions for different engines.