Cuebiq has introduced a feature within its PurePlay AI platform that enables real-time CTV bidding by scoring impressions based on store visit propensity. The tool integrates location data into existing DSP workflows to optimize ad spend and improve incremental lift for advertisers.
This integration signals a shift toward closed-loop advertising on the open web, providing a neutral alternative to the proprietary measurement ecosystems of Google and Meta. By moving location data from post-campaign reporting into the live bidding loop, streaming advertisers can treat physical store visits as a performance KPI similar to digital clicks. This transition requires high-fidelity longitudinal data to avoid the optimization errors common in point-in-time panels. Watch for whether Omnicom Media and other major agencies shift more publisher-direct spend toward these automated, outcome-based bidding models to improve cost-per-visit metrics.
Cuebiq has integrated location data into its PurePlay AI platform, enabling real-time CTV bidding based on store visit propensity. By scoring impressions in milliseconds, advertisers can optimize bids for high-value households. This shift allows streaming advertisers to treat physical store visits as performance KPIs, offering a neutral alternative to proprietary measurement ecosystems.
The tool integrates location data into DSP workflows to score CTV impressions in milliseconds, allowing advertisers to optimize bids based on store visit propensity.
The model has demonstrated a 17% reduction in store visit costs and helped Luxottica’s Sunglass Hut achieve an 8% improvement in incremental lift.
The platform uses data quality checks to identify inaccuracies, such as 'ghost' visits to closed retail locations, ensuring ad spend is not wasted.
It moves location data from post-campaign reporting into the live bidding loop, allowing advertisers to treat physical store visits as a performance KPI similar to digital clicks.
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