Boost Conversions with Overlap Ad Targeting

Digital advertising is a numbers game that relies on predictive models for buying and selling traffic, with even small changes to these models having a significant impact on revenue. Serving targeted ads requires a database of users segmented by interests and demographic information, allowing for more effective targeting through granular segmentation. Knowing the overlap between multiple user segments opens up new opportunities for targeting, such as displaying ads for tickets to specific events based on a user's interests and location. SingleStore enables a simpler approach to computing audience segment overlap in real-time by converging data ingest and analysis in a single database, allowing for sub-second query performance and efficient storage of large datasets. With this technology, businesses can better understand their audience using only pre-collected data and analyze potentially overlapping categories.

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