Case Study: Renault Group reduces data analysis time with Contentsquare's Sense Analyst

Renault Group saves 50% of analysis time with Contentsquare

The Renault Group, a major player in the automotive industry, faced challenges in analyzing complex user behavior data across its digital ecosystem. This manual process was time-consuming and required heavy reliance on data experts, slowing down their ability to identify optimization opportunities. To address this, Renault partnered with Contentsquare to leverage its Sense Analyst AI agent.

Contentsquare's Sense Analyst automated behavioral analysis, enabling teams to use everyday language to quickly identify friction points and generate recommendations. This solution saved 50% of the time previously spent generating insights and led to the identification of over 10 optimization use cases. As a result, digital teams became more self-sufficient, and seven recommendations were selected for live deployment, including three A/B tests aimed at improving conversion rates.

Renault Group