A privacy-safe affordability index for programmatic advertising, designed to improve relevance without complex algorithms or long-term data contracts.
Designed for relevance optimization and suppression. Not income targeting. Not credit scoring. Not eligibility decisions.
The AffordX index is continuously refreshed so deciles remain current as markets, seasonality, and consumer behavior change.
No data science team required. No bespoke modeling. Use category presets and apply the decile bid layer in minutes.
Start with a suppression-only pilot. Avoid heavyweight, multi-month data agreements and complex onboarding.
Outputs deciles + net-CPM-neutral bid multipliers. Clear actions: suppress, de-emphasize, neutral, emphasize.
Pilot without creative changes or channel shifts. If it doesn't work, you learn exactly where waste lives.
AffordX uses aggregated behavioral signals, category-level patterns, and market context to estimate affordability likelihood—not individual income or credit data.
Output: a relative decile (1-10) that helps advertisers align spend with conversion potential.
Affordability and conversion likelihood shift with seasonality, macro conditions, pricing, and product mix. AffordX is built as a continuously refreshed index so deciles remain current over time.
Practical impact: traders avoid "stale segments" and don't need to rebuild logic each quarter.
Auto, luxury, travel, premium home goods—start from templates tuned for common use cases.
Adjust suppression/emphasis rules to match your product's price point and customer base.
Apply bid multipliers as a targeting layer in your existing DSP workflow—no new tech stack required.
Suppress deciles 1-3 (very low fit), neutral on 4-7, emphasize 8-10. Result: 25% lift in test-drive bookings with flat CPM.
Suppress 1-4, neutral 5-8, emphasize 9-10. Result: 18% increase in booking conversion rate with no spend increase.