Suppress converted users in real time
Every conversion event pushes an immediate suppression update to your ad platforms, stopping spend on fans 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 fan 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 the moment a fan profile changes, so a conversion at 2pm stops paid spend by 2pm, not 2am.
BATCH · STATUS QUO
Suppression list updates overnight
12hof spend after the conversion
The fan converted at 2pm. 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 2pm conversion stops 2pm spend. Not in the next batch window: now.
How it works
Suppress, seed, segment, attribute
Four steps from budget waste to compound advertising returns.
Seed lookalikes from your best fans
High-value fan 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 fan 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 fan behavior, so budget follows the campaigns that actually convert.
From wasted spend to compound returns
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 fan completes a purchase, registers, or hits a goal, Sfere pushes an update to your 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 fans
Your highest-value fans (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 fan 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 fan actions (not impressions, not clicks) so you can distinguish the campaigns that drove real conversions from the ones that just claimed credit for a fan who was going to convert anyway.
Reduce cost per acquisition, not just cost per click
Suppression removes already converted fans 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 fan graph is built on consented, in-Kingdom 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 fans, and attributes spend to the campaigns that actually convert, all on a first-party fan graph you own.