Most tools build a separate model for every trait they measure. Intelafy measures the whole population directly instead — one engine, one scale, hundreds of millions of people and tens of thousands of traits. Because the measuring is already done, the same question always comes back with the same answer.
The usual approach answers your first request with a project — data to label, a model to build, test, launch, and monitor. Intelafy answers it with a sentence, because it has already measured how everything relates.
Because every trait is measured the same way and placed on the same 0-to-1 scale, you can build an audience with simple math on the scores — and the same math works across all tens of thousands of traits.
Each one comes from measuring instead of training — not a feature we added, but a natural result of how the engine works.
The engine calculates how traits relate directly from the data, using fixed math instead of a trained model. Same data in, same answer out — every time.
Every score sits on one 0-to-1 scale where 0.25 always means "no signal." Truck buyer, cruise enthusiast, registered voter — all directly comparable.
A large market-research survey only covers a sample of people. Intelafy extends its answers across everyone in the national file — putting tens of thousands of attitudes and interests within reach, with no models to train.
Off-limits data is removed before scoring — so the engine truly can't see it, not just "probably didn't use it." An auditor gets proof, not a promise.
Scores stay fixed between scheduled updates. When a score moves, it's because the data changed — never because the tool wobbled. That means clean campaign measurement.
One file that is the marketing list, the media plan, and the creative brief at once — with scores for each person's behavior, motivation, best channel, and creative angle.
Market-research surveys are expensive and only cover a small sample. The bridge extends a large survey's answers across all hundreds of millions of people — trillions of predictions from one engine, with no models to train for each trait.
On a single afternoon, an analyst typed a seven-word request into the workspace. By close of business, the engine had produced a scored national audience, motivation segments, channel and creative plans, a five-tier map of a multibillion-dollar category — all on one measured scale, with zero code and zero models trained. Illustrative example; figures anonymized.
The engine focuses on how recently people bought, sizes the audience (28.4% of the file), and files it.
Everyday Family Buyers 14.2% · Performance Loyalists 6.5% · Hype Buyers 3.8% · Athleisure & Comfort 3.5%.
Delivery anchors and content cues appended on the same 0-to-1 scale — the media plan and creative brief, built in.
From the biggest global brands down to niche players, each matched to a segment — including which competitors' customers to go after.
Intelafy is built for one job: measuring audiences from organized consumer data, where being able to explain, compare, and stand behind a score is what matters. It is not built for reading raw text, images, or audio; predicting your next click in real time; or powering giant recommendation feeds. We say so up front, because trust is the whole product.
Request a demo on your data. We'd rather be tested on your file than on our argument.
