Lotwyse counts the cars in a chain's parking lots from overhead imagery and turns fill rate into a demand signal — so you watch the beat or the miss take shape weeks before the earnings call.
A busy parking lot is a busy store, and a busy store is a good quarter. Lotwyse watches that from above and hands it to you as numbers — long before the company reports.
Every pass over a location, our models find and tally the vehicles in the lot. No surveys, no panels, no reliance on what a company chooses to disclose — just what's physically parked there.
A single count is noise. Weeks of them, benchmarked against a location's own history, become a footfall trend that tracks revenue at the chain level — up, flat, or fading.
The signal lands while the quarter is still open. You form a view on beat, in-line, or miss with weeks of runway — not thirty seconds after the press release drops.
The number is public for ninety seconds a quarter. The lot is public every single day.
— The Lotwyse premise
Most consumer research is a survey of what people say they'll do. Lotwyse skips the asking. It measures the one thing that doesn't lie — how many cars actually showed up — and rolls thousands of those measurements into a read on the chain.
The pixels don't have a quarter to protect and can't be talked up on a call. They just show the lot as it is, week after week, so your model is built on behavior instead of narrative.
Request a beta seat. We onboard desks in small waves so every one gets the raw feed and a human to walk it through.