Case Study: Kueski achieves smarter marketing attribution and automated reporting with Windsor.ai

Kueski improves attribution accuracy by 43% with Windsor.ai

Kueski, Mexico's leading fintech company, faced significant challenges due to fragmented marketing data spread across 14+ platforms. This led to attribution blind spots, manual reporting that consumed over 15 hours weekly, and budget misallocation based on inaccurate last-click attribution. To overcome these roadblocks, Kueski turned to Windsor.ai for its data integration and multi-touch attribution capabilities.

By implementing Windsor.ai’s solution, Kueski automated data integration into BigQuery and utilized algorithmic multi-touch attribution. This eliminated 15 hours of weekly manual work, increased attribution accuracy by 43%, and revealed that upper-funnel channels were contributing 41% more value than previously thought. The insights gained from Windsor.ai saved Kueski $2.8M annually in marketing spend and helped drive 23% quarter-over-quarter growth.

Kueski