For platforms that support dealer growth at scale, leveraging behavioral data is key to improving engagement and ROI.
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As platforms scale, dealers need intuitive, fast, and seamless tools that support their workflows without friction. Behavioral analytics identified hidden issues and unlocked improvements that enhanced user experience, reduced frustration, and drove measurable outcomes.
As digital platforms continue to scale, simply adding new features isn’t enough. Dealers need intuitive, fast, and seamless tools that support their workflows—without friction. That’s why this initiative focused on applying behavioral analytics to improve platform usability, uncover hidden issues, and drive measurable outcomes.
By tracking how users actually engaged with the platform—through dead clicks, rage clicks, navigation heatmaps, and session recordings—the team was able to detect friction points that weren’t showing up in support tickets or surveys. Real-time usage data paired with qualitative feedback gave the team a clear roadmap for improving dealer experience.
To unlock platform performance, the team paired behavioral insights with dealer focus groups. Dealers were segmented into 9 cohorts based on usage and spend behavior (high/medium/low). This mix of data science and human insight led to highly targeted, practical changes.
Key findings that emerged from this process included:
These insights informed a focused roadmap of updates that addressed both friction and functionality.
The team didn’t just identify issues—they solved them with precision. Here are the platform improvements launched as a result of this research:
