Know where customers go.Without ever knowingwho they are.
Mosaic turns real-world movement into the answers brands, retailers, and ad platforms need — foot traffic, audience reach, trade areas, competitive share — with no personal data, no persistent IDs, and no liability tail. The privacy is built into the architecture so the answers are defensible by design.
The location data industry has a trust problem.
Most providers still ship raw GPS, persistent identifiers, and individual visit histories. That is convenient until it is not. Three scenarios that have already happened to companies buying location data:
A subpoena lands. What can you actually produce?
Most location vendors ship raw GPS coordinates, persistent device IDs, and visit histories. When a regulator, plaintiff, or journalist asks where a person was on a given day, the answer is sitting in a database — and it is yours to defend.
Your supplier got flagged. Now your product is gone.
Apple and Google have removed apps for the data SDKs they ship with — even when the app itself behaved correctly. Buying data downstream of those SDKs puts your campaigns, dashboards, and clients on a clock you do not control.
"Where did this audience come from?"
Your client asks a fair question and you cannot answer without exposing your supply chain. Provenance, consent posture, and reidentification risk become a sales blocker — not a footnote.
Mosaic was built for buyers who do not want to inherit any of that. The data is useful. The provenance is clean. The legal exposure is someone else's problem.
The decisions buyers actually make.
Mosaic packages real-world behavior into focused intelligence products — each one built around a specific business question. No bulk data dumps. No raw records. Just answers you can ship into a model, a deck, or a dashboard.
Foot traffic & dwell
How many people came in — and did they stay?
Real visit counts, dwell time, and return frequency for any venue or trade area. Understand store performance, plan out-of-home media, benchmark franchises — with group-only outputs you can defend to legal, to clients, and to your customers.
- —Visit counts by day, hour, week
- —Average dwell time
- —Return frequency
- —Traffic curves by daypart
Audience targeting
Who should we reach — based on where they actually go?
Build behavioral audiences from observed real-world behavior, not declared interests or click trails. Reach competitor-store visitors, frequent travelers, or category enthusiasts without ever handling a personal identifier.
- —Category-based segments
- —Competitive conquesting audiences
- —Reach & frequency forecasts
- —No IDFA, no MAID required
Catchment & trade area
Where do our customers actually come from?
Replace drive-time circles with the trade area your visitors prove with their behavior. Plan new locations, allocate geographic ad budget, model cannibalization — using the neighborhoods where your customers really live and work.
- —True origin trade areas
- —Cannibalization risk maps
- —Site selection inputs
- —Geo-bid optimization
Competitive footfall
How are we doing against the competition?
Track visit-share against rival brands at the venue, market, and category level. See where you are winning, where you are losing, and how seasonality moves the line — with measured visits, not panel estimates.
- —Visit-share index
- —Competitive YoY trends
- —Cross-venue comparison
- —Market concentration
Audience overlap
Are we reaching the same people across our buys?
Measure how much your audiences overlap across publishers, campaigns, and apps — without exchanging user IDs. Get a clean read on true reach, true frequency, and true incrementality. Stop paying for the same person twice.
- —True unique reach
- —Cross-publisher overlap %
- —Dedup savings estimate
- —Incrementality inputs
Privacy is the architecture, not the brochure.
Most data companies say they take privacy seriously. We built a system where the traditional risk vectors do not exist — because the data those vectors target was never collected, never stored, and is mathematically not recoverable.
Nothing personal ever leaves the device
Raw GPS coordinates are converted into anonymous, neighborhood-sized zone identifiers on the user's phone — and then discarded. We have no servers full of lat/long. We could not produce one if we tried.
Group answers only
No insight is ever served unless a meaningful number of devices were present. You get business-level intelligence; individuals stay invisible. No single-person trails. No "where was this user last Tuesday."
No persistent identity
We do not use IDFA or GAID. The anonymous IDs we do generate reset every 24 hours. There is no longitudinal user profile to subpoena, sell, or be breached.
Defensible by design
Privacy guarantees are enforced in code, not in a policy your sales team can flex. That means you can answer the questions your legal team, your compliance officer, and your customers actually ask.
If your legal team wants to know how it works, point them at the technical architecture and the compliance framework — both are public.
Location data you can stand behind.
Mosaic is in limited access with a small group of brands, ad platforms, and analytics teams. If your team needs location intelligence that holds up under a privacy review — and answers the questions you actually have — tell us about your use case.