Case Study: Ibotta achieves faster product iteration and deeper customer insights with Mode

Ibotta speeds up product iteration using Mode

Ibotta is a mobile consumer technology company whose app offers cash‑back rewards. As the analytics team grew from 17 to 50 analysts supporting marketing, product and other departments, they found their existing BI tool couldn’t integrate with Python or R for deep analysis, while their coding platform lacked visualization—making quick prototyping, drill‑downs and stakeholder sharing difficult.

Ibotta adopted Mode to combine SQL, Python/R, visualizations and collaboration, enabling faster iteration, better monitoring of feature rollouts, more effective A/B testing, and joint product‑analytics development of success metrics. The result was more sophisticated, predictive analysis and deeper customer understanding—supported by 300+ Mode users and 1,300+ reports—and measurable company growth, including repeated Inc. 5000 recognition and a $1B valuation.

Ibotta

Laura Spencer

Vice President of Analytics