Contentsquare, a global leader in digital analytics, has unveiled Sense, a suite of AI-powered capabilities that transform how teams discover insights, make decisions, and improve the user experience at speed and scale.
Built into the Contentsquare platform, Senseeliminates the heavy lifting from analytics by automating complex analyses, surfacing beginner-friendly insights, and allowing teams of all skill levels to move from data to action in minutes.
“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 accomplishes tasks for you and frees you up to focus on what matters most: delivering incredible customer experiences.”
Meet Sense: a new AI agent that puts insight-to-action on autopilot
At the heart of Sense is an autonomous AI agent, designed to plan, analyze and act on your behalf. Combining the power of generative AI with Contentsquare’s high-fidelity web and mobile app behavioural data, Sense can plan and run complex analysis workflows, tailor insights to business goals, and deliver proactive recommendations for content, design, and conversion optimization.
Key AI capabilities include:
Chat to next-best-action: A natural language interface that lets any team member ask a question, sets up a dedicated dataset and visualization, navigates the user automatically through the analysis, and explains the next best action in a few words — no technical skills needed.
Multi-session summaries: AI-generated recaps of user behaviour that highlight key patterns, issues, and friction points on web and mobile app sessions — in seconds, without watching hours of session replays.
Voice of customer: AI survey generation and summarisation, to make customer feedback actionable without spending hours tagging user comments.
Mobile app analysis: With robust mobile app data at its core, Sense helps teams understand every tap, swipe, and gesture — a critical advantage in a mobile-first world where experience is everything.
With a recent survey by Contentsquare revealing that over 37% of teams spend between 26% and 50% of their work time just finding and validating data, there is a clear need for streamlined data access and simplified workflows. Upcoming planned capabilities include the ability to complete multiple analyses in parallel, provide content or design recommendations, and schedule recurring reports.
“Sense AI has taken the guesswork—and the manual effort—out of analysis. What used to take days, we can now achieve in minutes. Our usage has skyrocketed because using Sense feels so intuitive and empowering—so much so that our product managers are in there every day now. With it, we can prioritize our roadmap—focusing on the features that matter most to our customers. At the end of the day, Contentsquare helps us make smarter decisions, faster — and build a better product for our customers,” Andy Dover, software development manager, Lightspeed Commerce.
With access to an industry-leading quantitative and qualitative dataset encompassing user behavior, frustration, zone-by-zone interactions, and cross-device journeys, Sense is uniquely able to apply the latest in generative AI to surface friction, highlight opportunities, and get teams from data to insight to action faster.
Better AI starts with better data: announcing data connect
AI is only as good as the data it’s trained on. That’s why Contentsquare is doubling down on data quality and flexibility with Data Connect — a new solution that allows teams — including data teams — to export experience, performance, and error data into their cloud environment.
Data Connect features out-of-the-box integrations to industry-leading enterprise platforms including Snowflake, the AI Data Cloud company, to provide seamless access to AI-ready data within Snowflake. Contentsquare has also established integrations with BigQuery, Databricks, Amazon Redshift and S3, and simplified connection to Microsoft Fabric, providing access to AI-ready data without the need for custom APIs or manual data wrangling. Use cases include marketing automation, personalization, churn prevention and fraud detection, while also fueling machine learning models and feeding AI agents for data teams.
“Contentsquare has played a key role in how organizations decode and leverage complex behavioral data, empowering customers to make data-driven decisions with confidence,” said Saptarshi Mukherjee, director of product, data engineering at Snowflake. “The introduction of Data Connect marks a significant leap forward, enabling teams to seamlessly integrate and synthesize product analytics and experience insights within Snowflake’s powerful ecosystem. An integration with Snowflake not only streamlines data workflows but delivers a transformative, intelligent data experience that helps organizations unlock deeper insights and drive meaningful business outcomes.”
AI-powered insights across devices: improved autocapture for mobile
Getting started with Contentsquare for mobile has also never been easier. Designed to streamline the collection of behavioural data from mobile apps, Smart Capture now supports leading mobile frameworks like React Native, Flutter, and Jetpack Compose — giving you complete behavioural data across every screen and gesture, without hours spent on manual tagging.
This means you can launch faster, capture every interaction from day one, and answer critical questions retroactively — even if you didn’t plan ahead.
“Our vision is to redefine what it means to leverage data. It’s about more than just faster insights — it’s about reshaping productivity and setting a new standard for how companies can operate in real time, all while staying focused on delivering the seamless, personalized experiences today’s customers expect,” added Cherki.
Contentsquare announced its latest product releases at CX Circle London, the company’s annual flagship event that brings together around 2,000 customer experience innovators and industry leaders to explore advancements in digital experience strategies.
