Case Study: Zscaler achieves real-time ad performance visibility with RevSure AI

A RevSure AI Case Study

Preview of the Zscaler Case Study

Zscaler unifies 60+ channels and tracks 970.64M engagements with RevSure

Zscaler, a global leader in cloud security, faced a challenge in its growth marketing team. Before implementing RevSure AI, the team spent significant time manually collecting and reconciling data from over 20 disconnected systems. This process delayed critical ROAS calculations and made it difficult to scale data-driven decision-making across regions and campaigns.

RevSure AI implemented its Multi-Touch Attribution solution, which unified data from nine paid channels, Salesforce, and Snowflake into a single live source of truth. This provided Zscaler with real-time visibility into ad performance and cost data, replacing a slow monthly reporting cycle. The outcome was that ROAS tracking now updates daily instead of monthly, saving hours of manual work and enabling the team to optimize investments in real time. RevSure AI became a central part of Zscaler's growth engine, driving clarity and measurable performance impact.


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