Affordability-Based Audience Verification

AffordID

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

Inefficient audience expansion beyond viable buyers

Spend allocation toward non-revenue-generating traffic

Example ROI

Average Spend Efficiency Improvement

10-20%

Reduction in wasted spend through exclusion of non-convertible audiences and improved
allocation toward financially qualified users

Supported Integrations