Contentsquare has introduced Sense, a suite of AI-driven features that fast-tracks how businesses understand and act on digital customer behaviour. Integrated directly into the Contentsquare platform, Sense aims to remove the bottlenecks in traditional analytics by automating complex analysis, simplifying data exploration, and helping teams of all backgrounds move from insight to action.
The key tool is Sense AI Agent, an intelligent assistant that can autonomously run analysis, interpret user behaviour, and suggest optimisations based on real-time data from websites and mobile apps. Moreover, using generative AI with high-fidelity behavioural insights, Sense can pinpoint friction, recommend changes to improve UX, and support conversion strategies — all without requiring data expertise.
“We’ve reimagined analytics to help teams act faster and drive greater results,” said Jonathan Cherki, CEO & Founder of Contentsquare. “With Sense, we’re moving from one-click analytics to no-click intelligence — where AI doesn’t just surface the insights, it also accomplishes tasks for you and frees you up to focus on what matters most: delivering incredible customer experiences.”
Key AI features
- Conversational Insights: Ask a question in natural language, and Sense instantly builds a tailored dataset, visualises the result, and guides you toward the best next step.
- Multi-Session Behaviour Summaries: Instantly generated overviews highlight common patterns and pain points in user sessions—no need to comb through endless replays.
- AI-Powered Voice of Customer: Automatically generate, tag, and summarise surveys so teams can act quickly on feedback without manual sorting.
- Mobile-Centric Analytics: With built-in mobile insights, teams can decode every gesture—tap, swipe, or scroll—across native apps, giving an edge in today’s mobile-first market.
In addition, recent research by Contentsquare shows over 37% of teams spend up to half their work week just validating and finding data. Sense tackles this head-on by streamlining access to meaningful insights and automating routine analytics work.
To further enhance flexibility, Contentsquare also unveiled Data Connect — a new way for teams to export behavioural and experience data directly into platforms like Snowflake, Databricks, BigQuery, and Amazon Redshift. This also eliminates the need for custom APIs or data wrangling, allowing AI models to use clean, structured insights for use cases like churn prediction, personalisation, and fraud detection.