Case Study: Leading Marketing Company maximizes campaign performance and achieves 94% website categorization with Guavus Service-IQ Marketing Analytics

MNO Maximizes Campaign Performance for Advertisers using Guavus-IQ Analytics

Leading Marketing Company, a mobile network operator, struggled to build rich subscriber profiles and give advertisers accurate targeting because its marketing team could not reliably categorize websites, track Ad-IDs, or match browsing behavior to subscriber IDs. They engaged Guavus and its Service-IQ Marketing Analytics to address these gaps.

Guavus deployed Service-IQ Marketing Analytics to perform per-subscriber website categorization with natural language processing and machine learning, achieving over 94% accuracy and enabling IMSI-to-Ad-ID correlation while preserving subscriber privacy. Integrated with the operator’s data lake and processing over 32 billion records daily in near real-time, the Guavus solution reduced time-to-market for offers and let the Leading Marketing Company deliver more relevant, measurable campaigns to advertisers.