Ask someone what they buy, and they’ll tell you a story. Watch where they actually go, and you’ll learn the truth. The gap between the two is where most marketing money goes to die.
Surveys are good at capturing intention, identity and aspiration — how people want to be seen. That has its uses. But it’s filtered. People round up their gym visits, round down their takeaway, and describe the version of themselves they’d like to be. Stated preference is a self-portrait, not a record.
Real-world movement is unfiltered. The places someone visits, how long they stay, the patterns that repeat week after week — none of it is performed for a researcher. It’s just behaviour. And behaviour tends to lead sales rather than follow them: the household quietly visiting car dealerships before they’ve filled in a single lead form, the new gym-goer who hasn’t bought any of the gear yet, the family whose spending is shifting because their circumstances are.
That’s the value of movement at scale: it surfaces intent early, while it’s still a signal and not yet a transaction. By the time a purchase shows up in your own numbers, the decision was made weeks ago — and so was the chance to influence it.
The catch is resolution and scale. A handful of location pings tells you very little. Billions of signals a month, resolved to the household and layered with what you already know about spend and life stage, tell you something genuinely useful: which homes are moving toward a category, and which have moved on. Predictive models turn that raw movement into a clear read on intent.
People will always tell you who they think they are. Their movement tells you what they’re about to do. For most brands, the second question is the one worth paying for.
