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Yieldmo increases ad spend for in-app inventory by 130% with contextual curation
Yieldmo aimed to unlock more ad spend by bringing web-level categorization to mobile, using NumberEight’s deep contextual solution to make their inventory smarter and more sellable.
+130%
in ad spend for in-app inventory
+121%
in in-app addressability
+198%
in bid responses
Introduction
A pioneer in AI-powered creative ads
Yieldmo offers advanced AI-driven ad formats and superior campaign results using unique data as a leading ad tech platform.
Challenge
Overcome the mobile addressability hurdle
While the shift towards mobile advertising is accelerating, the industry faces significant hurdles.
Mobile is projected to command 70% of the global digital advertising spend by 2028, highlighting the vast potential for in-app advertising. However, the deprecation of identifiers and the proposals to limit tracking by IP addresses by Apple and Google has cast doubt on the future of mobile addressability.
Furthermore, the market lacks robust ID-less solutions that adequately cover mobile environments, posing a substantial challenge for advertisers eager to capitalize on this growth opportunity.
Results
The in-app addressability revolution
Over a seven-week period following the launch of the NumberEight contextual solution, Yieldmo significantly enhanced key addressability metrics and increased revenue.
+130%
+121%
+198%
Solution
Unlocking the power of ID-less contextual targeting in mobile
NumberEight's solution leverages advanced AI modeling to provide deeper, actionable contextual insights by combining industry-standard taxonomy and rich metadata.
- IAB content taxonomy: NumberEight's solution incorporates the IAB content taxonomy to categorize mobile apps, ensuring alignment with industry standards.
- App store metadata: The solution taps into the wealth of information available through app store metadata and layers it to accurately determine app context.
- Gen-AI modeling: Large Language Models (LLMs) support the analysis, interpretation and processing of the data logs collected from app stores for more precise contextual targeting.
- Mark McEachran, SVP of Product
