Suppress converted users in real time
Every conversion event pushes an immediate suppression update to your ad platforms, stopping spend on customers you already acquired
Use Case · Advertising
Stop funding the customers you already have
Wasted ad spend follows a pattern: retargeting people who converted yesterday, prospecting with audiences too broad to convert, and attributing results to the last ad rather than the one that did the work. Sfere fixes all three with real-time suppression, first-party lookalike seeds, and deterministic attribution
Interactive · Illustrative model
Every ad budget has three leaks: plug them
Budget pours in at the top of the funnel. Three holes drain it before it can compound: retargeting people who converted yesterday, prospecting with audiences too broad to convert, and crediting the last ad instead of the one that did the work. Plug each leak by hand below and watch the waste rate fall while recovered spend compounds
SFERE · BUDGET FUNNEL · LIVE MODEL
Animated funnel: budget flows in at the top, and spend leaks out through three holes until you plug them with the controls beside it
Waste rate
40%
of inflow escaping
Recovered
$0
reaching campaigns that compound
Compound return
×1.0
each lever cuts CPA; together they compound
All three leaks are open: watch the waste rate
ILLUSTRATIVE MODEL · THE LEVERS ARE REAL
Real-time suppression
Every conversion should stop a spend, not extend it
When a customer converts, the worst thing you can do is keep spending to convert them again. Most platforms have a suppression lag of hours or a day, because suppression lists update in batch. Sfere's Reverse ETL pushes suppression updates to Meta Ads, Google Ads and TikTok the moment a customer profile changes, so a conversion at 2 PM sends the suppression update at 2 PM, not in a 2 AM batch
BATCH · STATUS QUO
Suppression list updates overnight
12hof spend after the conversion
The customer converted at 2 PM, and the ads keep running and billing until the next batch window
SFERE · REVERSE ETL
Suppression the moment the profile changes
0hthe conversion is the suppression event
A 2 PM conversion stops 2 PM spend: now, not in the next batch window
How it works
Four steps to less wasted spend
Suppression, seed audiences, segments, and attribution all run on the same customer profile
Seed lookalikes from your best customers
High-value customer segments feed lookalike models with first-party behavioral data, producing better prospecting audiences than the demographics built into ad platforms
Segment before you spend
The audience builder defines precise campaign audiences from the customer graph before anything is pushed to paid channels, so every campaign starts informed
Attribute to actions, not impressions
Sfere Measure closes the loop by tying ad exposure to real customer behavior, so budget follows the campaigns that actually convert
Where the savings come from
Better data produces better targeting
Most ad efficiency problems are audience problems. Sfere solves them at the data layer
Suppress converted users the moment they convert
When a customer completes a purchase, registers, or hits a goal, Sfere pushes an update to Meta Ads, Google Ads, TikTok and your other ad platforms via Reverse ETL immediately. Not in the next batch window: now. You stop paying to acquire a customer you already have
Seed lookalike audiences from your best customers
Your highest-value customers (top-tier loyalty members, multi-event attendees, high-frequency purchasers) form the seed audience for lookalike modeling across paid channels. Better seeds produce better lookalikes
Segment before you spend
Audience Builder lets you cut your customer graph by purchase history, engagement depth, event attendance, and tier status before pushing to ad platforms. Every campaign starts with a precise audience, not a demographic guess
Prove what actually drove the conversion
Sfere Measure ties ad exposure back to customer actions (not impressions, not clicks) so you can distinguish the campaigns that drove real conversions from the ones that just claimed credit for a customer who was going to convert anyway
Lower cost per acquisition
Suppression removes already converted customers from prospecting pools. Better seeds improve lookalike quality. Accurate attribution directs budget to campaigns that actually work. Each lever independently reduces CPA; together they compound
First-party data that ad platforms trust
Sfere's customer graph is built on consented first-party signals, not third-party cookies or inferred data. As signal loss deepens, owned audience data becomes an edge the ad platforms cannot match
Make every ad dollar work harder
See how Sfere pushes real-time suppression lists, seeds lookalike audiences from your best customers, and attributes spend to the campaigns that actually convert, all on a first-party customer graph you own