Cardinal Path

Sense by Contentsquare: AI That Turns Experience Data Into Action

Digital teams today face an avalanche of user data and complex customer journeys across web and mobile. Traditional analytics tools often fall short, requiring hours of manual digging through dashboards and session replays. A recent Contentsquare survey found over 37% of teams spend up to half their time just finding and validating data. This is time that could be spent driving improvements.

To close that gap, Contentsquare launched Sense AI, available to all Experience Analytics customers, in a mid-May release – An AI assistant built into the platform that transforms raw behavioral data into real, actionable insight. By combining generative AI with one of the richest behavioral datasets on the market, Sense helps teams go from “what’s happening” to “what should we do about it?” in seconds.

Meet Contentsquare Sense: Your AI Co-Pilot for Analytics

Sense is best described as an autonomous analyst. It interprets your site’s user behavior-clicks, taps, scrolls, and frustration signals and delivers prioritized insights, plain-language answers, and next-best actions without the need for complex filtering or data modeling.

Sense includes powerful features like natural language querying, session replay summaries, real-time friction detection, sentiment analysis from survey responses, and mobile-specific insights. Here’s how it works in practice:

Ask in Plain English. Get Real Answers.

One example: We asked Sense, “Where is the biggest drop off in my checkout?” Within seconds, it generated a full funnel analysis – revealing that over half of users dropped off before selecting a delivery method. This funnel was generated in less than a minute

One of the most intuitive features of Sense is the ability to ask questions like: “Where are users abandoning in checkout?” In seconds, Sense builds a funnel, highlights that over 50% drop off between cart and delivery address, and surfaces next steps. No setup or dashboards required-just answers.

This natural-language interface removes technical barriers so that marketers, UX teams, and stakeholders can all engage with data directly. The result? Faster decisions and broader adoption of analytics across the organization.

Session Replay Summaries Without the Scroll

Sense automatically reviews thousands of sessions and identifies common issues – like users rage-clicking on unresponsive elements or abandoning forms mid-flow. These behaviors are summarized in clean, actionable narratives, complete with time-coded playback.

Instead of spending hours watching replays, teams can now jump to high-friction moments immediately. This has helped early adopters reduce digital friction and cut analysis time dramatically.

Friction & Anomaly Detection: Proactive, Not Reactive

Sense continuously monitors for patterns of friction – zooming, rage clicks, hesitation, and broken interactions-and prioritizes issues with its built-in Frustration Score. Whether it’s a broken filter on mobile or an invisible CTA, teams get alerted before the problem becomes widespread.

The platform also uses anomaly detection to monitor key KPIs and behavioral patterns. If conversion suddenly drops or a page experiences a spike in exits, Sense AI flags it and gives you the context to respond fast.

Voice of Customer: Quantified, at Scale

Sense uses AI to analyze open-ended survey responses, summarize common feedback themes, tag sentiment, and even suggest new survey questions to help refine your approach.

It also ties user comments back to actual sessions, so teams can see exactly what a user experienced before leaving negative feedback-bridging the gap between qualitative and behavioral data in a way that’s instantly useful.

Mobile Experience, Decoded

Many analytics platforms struggle to capture mobile gestures accurately. Sense, however, leverages mobile-first tagging and Smart Capture to analyze every swipe, tap, zoom, and crash. It helps surface hidden UX issues like rage swipes, mis-taps, or crash-prone flows.

Mobile experiences are no longer a blind spot. With Sense, teams can optimize app journeys and mobile web flows with the same clarity as desktop.

Bonus: New AI Features Beyond Sense

Contentsquare is continuing to invest in AI throughout its platform. Recent additions include:

  • Headlines: A weekly executive-level summary that surfaces key performance changes and emerging UX trends.
  • Data Connect: A tool that exports Contentsquare’s behavioral dataset directly into your cloud warehouse (Snowflake, BigQuery, etc.) for custom analysis or model training.
  • Embedded Friction Signals: Frustration scores now appear directly in heatmaps, funnels, and journey reports, so you can spot and act on issues instantly.

These features enhance what Sense can do by offering better context, data portability, and visibility at every level.

Why Strategic Support Still Matters

AI doesn’t replace strategy – it amplifies it. While Sense delivers insights fast, the real impact comes from knowing what to do with them. That’s where expert guidance helps:

  • Prioritizing findings for A/B testing or design updates
  • Connecting survey insights to actual behavior changes
  • Creating scalable workflows to act on daily alerts

We help clients make the most of these tools by integrating Sense into agile programs, tying insights to business goals, and tracking impact over time.

Final Thought: From Insight to Impact

Contentsquare’s Sense represents a major leap in digital analytics-one that removes the traditional friction between data and decision-making. It delivers clarity where it was once chaos, and speed where there was delay.

If you’re dealing with a complex user journey, high-friction funnel, or just too much data and not enough time, Sense is the unlock. And with the right approach, it’s not just powerful-it’s transformational.

Connect with us if you’d like a walkthrough or want to see how others are already using Sense to accelerate their optimization programs.

Author

  • Peter is a Manager of Experience Optimization at Merkle | Cardinal Path, where he builds and leads testing and optimization programs and manages the Contentsquare consulting practice. He brings a user-centric mindset, along with a combined background in both qualitative and quantitative research. Peter transforms insights into actionable, recommendation-focused strategies that drives both user satisfaction and business outcomes.

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Peter Cline

Peter is a Manager of Experience Optimization at Merkle | Cardinal Path, where he builds and leads testing and optimization programs and manages the Contentsquare consulting practice. He brings a user-centric mindset, along with a combined background in both qualitative and quantitative research. Peter transforms insights into actionable, recommendation-focused strategies that drives both user satisfaction and business outcomes.

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Peter Cline

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