Audit audience quality before spend is deployed by filtering out users unlikely to convert based on real purchasing power, not just intent signals.
Intent Signals Don’t Equal Purchasing Power
High engagement does not indicate ability to buy
Intent signals reflect activity, not financial readiness
Large portions of paid traffic come from users who will not convert
Campaigns optimize for clicks and interactions, not purchasing capacity
Budget is allocated toward engagement, not revenue-capable users
How AffordID Qualifies Your Audience
Afford_ID applies the Affordability Language Model (ALM) to evaluate audience segments based on financial and behavioral signals, identifying which users are realistically capable of converting.
It filters out non-convertible audiences before campaigns run, allowing spend to be directed toward users with actual purchasing potential.
WHAT WE DETECT
Users unlikely to convert based on affordability signals
Low purchasing power segments within high-intent audiences
Mismatch between product pricing and audience capacity
Engagement-heavy segments with low conversion probability
