Connect your data. Multiply your insights.

Automatically export behavioral data straight to your warehouse of choice. Less wrangling for data teams. More insights for everyone else.

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See it in action

Put your data to work—across every team

Optimize digital experiences and drive the right decision with full customer data at your fingertips.

Unified data stack

Connect your experience, error, and product data with the rest of your data stack to fuel smarter decisions.

Data democratization

Turn complex data from multiple sources into self-serve analytics for data and business teams across the company. No devs. No delays.

Built to connect

Integrate seamlessly with Snowflake, BigQuery, Databricks, Redshift, and Amazon S3. Connect once. Sync continuously.

MCP Server

Bring CSQ insights into your chosen AI tool

Unlock answers from Contentsquare right inside Microsoft Copilot, ChatGPT, Claude, or Dust—thanks to our new Model Context Protocol (MCP)-powered integration. Whether you need quick top-line metrics or advanced analysis across datasets, the insights are only a question away. Integrate once, ask endlessly.

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Key features of Data Connect

All your data, right where you need it

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Define a new goal, create a new event—it doesn’t matter with retroactive sync. Data Connect lets you analyze everything: past, present, and future.

Common use cases

Make your data work for you

Reduce customer service conversations
Analyze frustration, behavior, and journeys on key touchpoints like help center pages. Fix content gaps, improve self-service, and lower support costs.
Optimize product placement
Identify top-performing products and common checkout combos. Then surface them in high visibility zones to increase add-to-cart rates.
AI-powered marketing personalization
Measure customer preferences and behaviors. Build AI-driven scoring models to activate the right audience at the right stage of engagement.
Increase form completion
Combine frustration signals, funnel analysis, and lead data to pinpoint drop-off, reduce time to purchase, and lower cost per acquisition (CPA)

We were up and running in no time, collecting JavaScript, API and custom errors, with a dashboard in Looker to share insights across teams. What really stood out was how quickly we were able to go from setup to actionable analysis. It's been a major win for our team.

Ruben Canosa

Head of Data and Transformation, Iberostar