Do I need technical expertise to use MCP?

Setting up MCP requires a one-time installation handled by your IT or data team—a simple 7-step process that takes under an hour. Once connected, no technical expertise is needed. Any team member can query Contentsquare in plain English directly from their AI tool, with zero training and no platform login required.

What is MCP and how does it complement Data Connect?

MCP (Model Context Protocol) is Contentsquare's AI-native integration that lets any team member query Contentsquare insights in natural language directly from ChatGPT, Claude, or Microsoft Copilot. While Data Connect brings raw behavioral data into your warehouse for deep technical analysis, MCP delivers instant, conversational insights to every team—no SQL, no dashboard required. Together, they cover the full spectrum: technical depth for data teams, and instant accessibility for everyone else.

What can I do once my data is in the warehouse?

Once connected, analyzing data directly in your warehouse or building dashboards in BI tools like Looker or Tableau requires data analyst skills and SQL knowledge. The use cases are limitless: power predictive AI and machine learning models, fuel marketing automation campaigns, run A/B testing and personalization, build executive BI dashboards, detect fraud, or predict churn. Combine Contentsquare data with your CRM, VoC, or support data for a complete picture of your customers.

Do I need engineering resources to set up Data Connect?

No. Data Connect is designed to be self-serve—no APIs to configure, no ETL layers to build, no developers required. Setup takes just a few steps, and data syncs automatically every day from that point forward.

Do I need engineering resources to set up Data Connect?

No. Data Connect is designed to be self-serve—no APIs to configure, no ETL layers to build, no developers required. Setup takes just a few steps, and data syncs automatically every day from that point forward.

What can I do once my data is in the warehouse?

Once connected, analyzing data directly in your warehouse or building dashboards in BI tools like Looker or Tableau requires data analyst skills and SQL knowledge. The use cases are limitless: power predictive AI and machine learning models, fuel marketing automation campaigns, run A/B testing and personalization, build executive BI dashboards, detect fraud, or predict churn. Combine Contentsquare data with your CRM, VoC, or support data for a complete picture of your customers.

What is MCP and how does it complement Data Connect?

MCP (Model Context Protocol) is Contentsquare's AI-native integration that lets any team member query Contentsquare insights in natural language directly from ChatGPT, Claude, or Microsoft Copilot. While Data Connect brings raw behavioral data into your warehouse for deep technical analysis, MCP delivers instant, conversational insights to every team—no SQL, no dashboard required. Together, they cover the full spectrum: technical depth for data teams, and instant accessibility for everyone else.

Do I need technical expertise to use MCP?

Setting up MCP requires a one-time installation handled by your IT or data team—a simple 7-step process that takes under an hour. Once connected, no technical expertise is needed. Any team member can query Contentsquare in plain English directly from their AI tool, with zero training and no platform login required.

Connect your data. Amplify your insights.

Name: We were up and running in no time, collecting JavaScript, API and custom…
Rating: 5
Author: Ruben Canosa

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

Watch a quick product tour

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 merchandising data with the rest of your stack to fuel smarter decisions.

Asset - Data Connect - Data democratization

Personalized insights at scale

Turn complex, multi-source data into tailored insights teams can act on instantly. No devs. No delays

Built to connect

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

Discover Data Connect, the easiest way to send all your data right where you need it.

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.

Try it for free

Learn more about MCP

Key features of Data Connect

All your data, right where you need it

Watch a quick tour

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

Discover more

Asset - Card - Explore Capabilities - Product Analytics

Improve retention

Understand and optimize cross-session, end-to-end digital journeys. Keep users coming back again and again.

Explore Product Analytics

Prioritize meaningful fixes

See which improvements could make the most difference to your business outcomes.

Explore Impact Quantification

Fix errors and performance issues

Resolve conversion blockers related to app or website performance. Prioritize fixes that make the biggest difference to your users.

Explore Experience Monitoring

Asset - Explore Capabilities - Voice of Customer

Ask users anything

Make better decisions with fast user feedback. Use AI to analyze survey responses in seconds.

Explore Voice of Customer

Increase engagement and conversion

Analyze customer journeys through your site and app. Find fresh opportunities to optimize pages and page elements.

Explore Experience Analytics

Frequently asked questions

Got another question?

No. Data Connect is designed to be self-serve—no APIs to configure, no ETL layers to build, no developers required. Setup takes just a few steps, and data syncs automatically every day from that point forward.
Once connected, analyzing data directly in your warehouse or building dashboards in BI tools like Looker or Tableau requires data analyst skills and SQL knowledge. The use cases are limitless: power predictive AI and machine learning models, fuel marketing automation campaigns, run A/B testing and personalization, build executive BI dashboards, detect fraud, or predict churn. Combine Contentsquare data with your CRM, VoC, or support data for a complete picture of your customers.
MCP (Model Context Protocol) is Contentsquare's AI-native integration that lets any team member query Contentsquare insights in natural language directly from ChatGPT, Claude, or Microsoft Copilot. While Data Connect brings raw behavioral data into your warehouse for deep technical analysis, MCP delivers instant, conversational insights to every team—no SQL, no dashboard required. Together, they cover the full spectrum: technical depth for data teams, and instant accessibility for everyone else.