Solutions · Retail & E-commerce
The same shopper should not be three anonymous records one golden profile.
Retail signals scatter across web, app, and store — so one person shows up as a browser, an order, and a loyalty card that never meet. Sfere stitches them into one golden profile you own, then helps you recover sales, reward loyalty, and spend ad budget on the right people, post-cookie.
Playable · the root cause, fixed live
Scan a receipt. Watch three records become one shopper.
A working simulation of Sfere's resolution engine. Press Scan — or tap the ticket itself. The first scan stitches three scattered records into one golden profile; every scan after that enriches it — recognition without duplicates, replenishment rhythm, cart recovery, and post-conversion suppression.
Scattered signals · unresolved
One shopper. Three systems, three partial views — until a scan ties them together.
Scan bay
Resolved profile
No golden record yet
scan a signal to resolve
- CHANNELS LINKED
- awaiting signal
- LAST SIGNAL
- awaiting signal
- REPURCHASE RHYTHM
- awaiting signal
- CART SIGNAL
- awaiting signal
> engine ready · 3 unresolved signals detected
Identity resolution
Stitch the shopper across every touch
The unresolved shopper is the root cause of wasted spend, weak personalization, and loyalty that forgets people. Sfere fixes it at the data layer.
One shopper, not three records
Stitch online browsing, app activity, and in-store purchases into a single golden profile, so the same person stops appearing as three anonymous shoppers.
Web session to till receipt
Connect a web session to a store purchase to a loyalty scan, so online and offline behavior finally meet in one record.
First-party audiences, post-cookie
Build durable, owned audiences from your own data instead of renting reach through third-party cookies you are about to lose.
Personalize from the first visit
Adapt offers and recommendations in real time for known and anonymous shoppers alike, before they have logged in.
Loyalty on data you own (Preview)
Base tiers, points, and rewards on the resolved profile, with richer gamified loyalty experiences in Preview.
Stop paying to reach buyers
Suppress people who just purchased and build lookalikes of your best shoppers, so paid media stops wasting spend.
The cart recovery use case
Recover the sale, then stop paying to reach the buyer again
An abandoned basket is only recoverable if you can recognize the shopper behind it, and a converted shopper is only profitable if you stop buying ads to reach them again. Both depend on one resolved profile spanning browse, cart, purchase, and store — so recovery and suppression run off the same source of truth.
See how activation works-
ABANDON
A basket is left behind — in the web shop or in the app.
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RECOGNIZE
Recognize the abandoned cart against the resolved profile, not just a browser or an email address.
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RECOVER
Recover the sale with a reminder enriched by what that shopper has bought and browsed before.
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REACH
Reach them on WhatsApp, email, or push from one profile, the moment the signal fires.
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CONVERT
The shopper checks out — the same profile closes the loop.
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SUPPRESS
Suppress that shopper from acquisition ads once they convert, so budget goes to net-new demand.
SUPPRESSION ON
The replenishment use case
Reach the shopper when the product runs low, not on a blanket send
For pharmacy, grocery, and health-and-beauty retail, much of the basket is consumable and repurchased on a rhythm. When online and in-store purchases resolve to one profile, replenishment becomes a prompt timed to each shopper rather than a mass email — and it works whether the last purchase happened at a till or in the app.
See how identity worksREPURCHASE RHYTHM · ONE SHOPPER · 40 DAYS
Learned from real purchase history — the till and the app agree on one rhythm.
Rhythm chart: this shopper buys the same consumable again roughly every twelve days — day 0 in store, day 12 in the app, day 24 in store. A reminder window opens around day 33, when the product is likely running low, instead of a blanket send on day 15 that ignores the shopper's rhythm.
- Learn each shopper's repurchase rhythm from real purchase history, in store and online.
- Time the reminder or offer to the moment a consumable is likely running low, not to a blanket send.
- Recognize the same person whether the last purchase was a store visit or an app checkout.
The retail media use case
Your shopper data is inventory, when you can prove it
Retail media only works if the audience is real and the outcome is measurable. Because shopper profiles are resolved, consented, and owned, you can offer vendor brands addressable segments and report exposure to outcome — the same proof loop our sports vertical gives sponsors.
See how measurement worksConsented segments
Package consented shopper segments as addressable audiences vendor brands can buy.
Vendor campaigns
Vendor brands activate those audiences against real, resolved shoppers.
Verified reach
Reach is verified against resolved profiles, not modeled panels.
Outcome report
Prove vendor campaigns with verified reach and outcomes on the same graph that ran them.
Know every shopper, personalize every journey
See how Sfere stitches shoppers across online and offline, recovers carts, and rewards loyalty from data you own. Book a walkthrough across your online and offline data.