Know a market before you spend in it
Enter an address. Audience describes the market a location actually sits in, finds the closest matches among the 37 client locations we already run, and predicts what it will produce from what those locations really did.
What you get
A real trade area
Drive time on actual roads, not a circle on a map. Ten minutes north across a river is not ten minutes south down a highway - and for one site we tested, the circle overstated the reachable population by 60% and invented six competitors nobody could reach.
Who lives there
Age, household income, home value, families with children, race and ethnicity, and language spoken at home - including the share who speak English less than "very well", which is what decides whether a market needs Spanish creative rather than a guess drawn from surnames.
Who you are up against
Every competing business in the catchment, named, with distance and drive time. Their own trade areas drawn on the map, and the share of your market they contest.
What they are offering
Live ads competitors are running right now, read for their commercial terms: the price ladder, joining offers, free trials, and how many are running a deadline.
What it should produce
Enquiries a month and cost per enquiry, taken from the comparable locations we operate - measured results, not a projection from demographics. Every number names the businesses it came from.
A report you can send
One page, print-ready, sourced. Built to be put in front of a franchisee considering a site.
How it predicts
Not by fitting a curve through demographics. We tested that against 865 ZIP codes and roughly $102,000 of real spend, and it does not hold - median income came back at effectively zero correlation with cost per lead on one account, and pointed the wrong way on another.
So instead it finds the client locations whose markets most resemble the new one - on population density, competitive intensity, market size and income - and reports what those locations actually produced. Same brand beats same industry, because fifteen Workout Anytime gyms share an offer, a price and a funnel, which leaves the market as the only thing varying between them.
What it will not tell you
- Anything finer than a ZIP code. Neither Meta nor Google can target a census block group, so modelling below the ZIP produces precision you cannot spend against.
- Cost per member. Only one of our locations reports signed memberships back, so the funnel is measurable as far as the enquiry and no further. That is a data pipeline gap, not a modelling one.
- Whether a market is good. It reports what comparable markets did. A market with no comparable is marked low confidence rather than given a confident number.
Where the data comes from
| Demographics | US Census, American Community Survey 2023 five-year estimates |
| Boundaries | Census TIGER/Line ZIP Code Tabulation Areas |
| Drive time | Mapbox isochrones over the real road network |
| Competitors | Overture Maps, 749,000 US businesses, shipped with the app |
| Competitor ads | Meta Ad Library |
| Performance | Measured results from Sneeze It client accounts |
For comparison, Buxton - now Audiense - bills around $45,000 a year for the licensed equivalent of the first two rows, and their sample reports carry 2015 and 2019 estimates.