SocialHub.AI

Behavior Capture (CDP) · Store & Location Marketing

Prove marketing drove the store visit — member by member.

Most foot-traffic reporting is estimated from anonymous counters. Flash connects a real store visit to a known member, counts it only once, and measures the extra visits a campaign genuinely caused against a control group — all without storing anyone's location.

Extra store visits the campaign caused

Got the campaign18.4%
Control group (held back)11.0%
Lift = campaign − controlmeasured, not guessed

Illustrative — your numbers come from your own control group.

The problem

"The app drove store visits" — but can you prove it to finance?

Foot-traffic counters count strangers

Anonymous counters tell you a store got busier — not which campaign, which member, or whether it would have happened anyway.

An anonymous scan isn't a member

A scan that isn't linked to a known member can't count toward a clean store-visit rate or be credited to a campaign.

No control group, no real proof

Before-and-after comparisons move with seasons and promotions. Without a control group, the 'lift' is just a directional guess.

How Flash does it

A clean signal. Honest measurement. Privacy by design.

Store visits tied to a real member

When a known member checks in by QR or redeems in store, it records a confirmed store visit — counted only once per member, per store, in the right time window. The clean signal that anonymous foot-traffic counters can never give you.

A control group that proves real lift

Members are split into a group that gets the campaign and a control group that's held back. The difference in store-visit rates is the lift your campaign genuinely caused — a number you can defend to finance, not a before-and-after guess.

Privacy by design

Location and push messages only happen with explicit member consent, with a one-tap opt-out and no penalty. We never store anyone's raw location — only the fact that a store visit happened, kept for a limited time.

Store-proximity re-engagement

Reach members who recently came near one of your stores. Flash handles the audience and the privacy controls; the near-store detection comes from a lightweight kit your app team adds to your mobile app. It only records that a member came near or lingered at a store — never continuous location tracking.

"Can I target people who came near a store?"

Yes — two ways, depending on whether you have a native app.

With your app: a lightweight kit your app team adds notices when a member comes near a store and lets you re-engage them — only with explicit location consent and a one-tap opt-out. By design, it records just that a member came near or lingered at a store, never continuous location tracking.

Without an app: the cleaner signal.

A confirmed store visit — a member who actually checked in or redeemed in store — gives you the same "recently at a store" audience with no device location needed. It's the privacy-safe foundation that store-driven campaigns and real-lift measurement build on.

What changes

From estimated foot traffic to a number you can defend.

Store-visit signal

Before · Estimated from anonymous foot traffic, no identity

After · Tied to a real member, counted only once

Lift measurement

Before · Before-and-after guess or self-reported

After · Control group — the extra visits truly caused

Member location privacy

Before · Ad-hoc, often raw location stored

After · Explicit consent, one-tap opt-out; no raw location kept

A real store visit tied to a known member, counted once — never raw location.

Get a store-visit lift number you can trust.

400M+
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