Case Study: Rappi achieves scalable dynamic geotargeting and paid media automation with Muttdata’s Megatron

Rappi cuts manual creative upload time by 60–70% with Muttdata

Rappi, a leading Latin American on-demand delivery super-app, faced significant challenges scaling its paid media operations. The process was highly manual, requiring teams to upload creatives across multiple platforms like Meta, TikTok, and Google Ads. Furthermore, the company struggled with the structural limitations of these platforms when attempting to implement its dynamic, business-driven geotargeting strategies across different countries.

Muttdata addressed these issues by building Megatron, a paid media automation platform. This solution automated creative management and featured a geotargeting optimization engine that translated Rappi's complex geographic priorities into platform-compliant configurations. The results for Rappi were substantial, including a 500% increase in creative deployment capacity, a 60-70% reduction in manual upload time, and the new ability to execute previously impossible hyper-granular targeting strategies in seconds.

Rappi