Case Study: CarTrawler improves revenue per visitor 5% with Soda
Key results
The challenge
CarTrawler runs real-time recommendation engines that power car rental and mobility bookings for travel partners. Its data teams previously relied on manual back-and-forth to confirm that datasets were current, complete, and correct, which slowed operations and limited confidence. The company needed self-serve data quality that both technical and non-technical users could trust.
The solution
CarTrawler adopted Soda for day-to-day data pipeline validation, defining rules that check pipelines arrive on time and that data is accurate and complete. Soda's self-serve interface gave technical and non-technical users visibility into data health, letting teams find, analyze, and resolve issues without deep coding knowledge.
“The two platforms work in complementary ways, providing a combined solution which has taken our data operations to the next level.”
PCPatrick CallinanDirector of Insights and Data Science, CarTrawler
The results, in context
With greater trust in the data feeding its real-time recommendation engines, CarTrawler documented a 5% improvement in revenue per visitor. Its Director of Insights and Data Science estimates that matching the same level of data quality coverage without Soda would require an additional two to three headcounts.