Solutions · Retail & Ecommerce
The same shopper is notthree anonymous records butone 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 and watch three records become one shopper
A working simulation of Sfere's resolution engine: press Scan or tap the receipt, and the first scan stitches three scattered records into one golden profile, then every scan after that adds recognition without duplicates, replenishment rhythm, cart recovery, and post-conversion suppression
Scattered signals · unresolved
One shopper in 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 store 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, no third-party cookies
Build durable, owned audiences from your own data instead of renting reach through third-party cookies that Safari and Firefox already block
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
Tiers, points, rewards, and gamified loyalty experiences on the resolved profile
Stop paying to reach recent 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 cart 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 cart is left behind in the online store or in the app
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RECOGNIZE
Match the abandoned cart to the resolved profile, not to a lone browser or 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 by email, push, or WhatsApp from one profile, the moment the signal fires
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CONVERT
The shopper checks out, and 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 register or in the app
See how identity worksREPURCHASE RHYTHM · ONE SHOPPER · 40 DAYS
Learned from real purchase history: the register 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 Sfere Measure 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