Case Study: Leading Restaurant Chain achieves 7X app conversion rate with Guavus Service-IQ Marketing Analytics

MNO Increases Ad Campaign Conversion Rate for Restaurant’s App by 7X using Guavus-IQ Analytics

Leading Restaurant Chain faced a poorly performing mobile ad campaign run by a Tier 1 mobile network operator: messages sent to broad demographic segments yielded only about 0.6 app downloads per 100 messages and low click-through rates. The operator used Guavus Service-IQ Marketing Analytics to address the challenge and improve targeting.

Guavus implemented audience sub-segmentation by combining demographics with content-interest signals and delivered personalized messages. As a result, click-throughs rose from 2% to 8%, post-click app downloads increased from 27% to 53%, and overall conversion rates improved 7X, driving higher revenue per message and lower campaign costs through smaller, more focused audiences and real-time processing at scale.