This document discusses how a telecom operator scored 75 million internet users through data mining and cross-referencing advertiser and web data. It identified 6 offers that users were eligible for, with 75% of internet users qualifying for a high-performance segment. The document also discusses how an amusement park used retargeting optimization to produce user segments defined by recency/frequency of visits, depth of visit, and type of products consulted, with the best segment being 20x more high-performing than the worst. Finally, it discusses how an e-merchant used a data management platform to deliver over 100,000 real-time audience segments to an agency trading desk based on axes including artists, venues, and events.
This document discusses how a telecom operator scored 75 million internet users through data mining and cross-referencing advertiser and web data. It identified 6 offers that users were eligible for, with 75% of internet users qualifying for a high-performance segment. The document also discusses how an amusement park used retargeting optimization to produce user segments defined by recency/frequency of visits, depth of visit, and type of products consulted, with the best segment being 20x more high-performing than the worst. Finally, it discusses how an e-merchant used a data management platform to deliver over 100,000 real-time audience segments to an agency trading desk based on axes including artists, venues, and events.
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