CASE STUDY | BRANDS AND AGENCIES
OpenX And inPowered AI Reduced Cost Per Store Visit By 80% For A National Business Services Retailer
Openx product
OpenXSelect
Partners
inPowered AI + PlaceIQ™
KPI
CPV
Challenge
A national retailer sought to drive more efficient store visits at scale through programmatic advertising. However, post-bid optimization and reliance on proxy metrics limited alignment with real-world outcomes. The retailer needed a more effective way to identify and activate inventory most likely to drive measurable store visits while reducing wasted media spend on lower-value impressions.
Solution
inPowered AI developed a custom AI model trained on PlaceIQ™ Location Data by Precisely alongside exchange-wide bidstream signals. The model was deployed within inPowered AI’s container on OpenX Build™, enabling real-time, impression-level evaluation across the full breadth of OpenX supply before bid requests reached the DSP.
Activation was executed through an AI-powered PMP deal, ensuring that only impressions with the highest predicted likelihood of driving store visits were made available for bidding. By filtering out lower-propensity impressions before media spend occurred, the approach improved efficiency across the supply path and delivered an 80% reduction in cost per store visit (CPV).
Success in Numbers
Decrease in Cost Per Store Visit
More efficient than the closest competitor
“This campaign underscores the importance of making decisions before the bid. By training directly on real-world visitation data and evaluating impressions at the source of supply, we’re able to deliver materially better outcomes than traditional programmatic approaches.”
“PlaceIQ is ideal to connect advertising to real-world behavior, and partnering with OpenX and inPowered AI to deploy that intelligence directly within the supply path shows what’s possible when the right data is applied at the right moment.”