Contentsquare platform updates: what’s new in October 2026

Digital teams are collecting more signals than ever—from web and mobile behavior to customer conversations, technical errors, and AI crawler activity. The challenge is turning those signals into a clear priority and a measurable next step.

Contentsquare’s October 2026 updates are designed to close that gap. They help teams connect cross-device journeys and customer feedback, identify the friction that matters most, and act through experimentation, integrations, and workflow tools.

The result is a more connected path from insight to action inside the Contentsquare Experience Platform. The updates below are grouped around three steps: unify the signals, prioritize the opportunities, and act on what you learn.

Key insights

• Move from fragmented journeys to a connected view: Journey Explorer brings web, iOS, and Android paths into one journey view

• Connect behavior with context: Conversation Intelligence helps teams understand how customer conversations relate to digital behavior

• Track how AI agents access your website: Agent Intelligence surfaces activity from recognized AI crawlers alongside human traffic.

• Make prioritization more relevant: Dynamic Benchmarks compares experience metrics with matched peer cohorts rather than relying only on broad industry medians

• Shorten the path from insight to action: Sense Analyst, Experimentation, and MCP integrations bring analysis into the tools and workflows teams already use

Pillar 1: unify signals across web, mobile, conversations, and AI

1. Map cross-device journeys with Journey Explorer

What changed: Journey Explorer now brings web, iOS, and Android journeys into a single path view. Teams can examine conversion, drop-off, and return paths across sessions and devices without manually stitching separate views together.

For example, the Marketing Channels view groups journeys by acquisition source, helping teams understand how channels contribute across multiple sessions. Sense Analyst can also be used to explore cross-device patterns in plain language, while AI-powered signals highlight friction such as loops, unexpected exits, and rage clicks.

Journey Explorer adds a cross-source Journeys mode to Journey Analysis, giving teams a cohort-level view of Web and Mobile journeys across multiple sessions and devices

Why it matters: teams can move from isolated session analysis to a more complete view of how customers move through the experience—and where the journey breaks down.

Learn more about Journey Explorer

2. Connect what customers say to what they do with Conversation Intelligence

What changed: Conversation Intelligence brings customer support interactions into digital analytics workflows so teams can investigate the reasons behind observed behavior.

Structured conversation events can be analyzed alongside product data, while native connectors for Gladly and Gorgias bring email, chat, and voice transcripts into the workflow. Automated translation for non-English voice recordings makes it easier to review conversations across markets.

Structured conversation events from supported CRMs flow into our warehouse, chart builder, dashboards, and alerts

Why it matters: digital teams can connect behavioral signals with customer language, helping them distinguish between a usability problem, a product issue, and a support-related obstacle.

Learn more about Conversation Intelligence

3. Track AI crawler activity with agent intelligence

What changed: Agent Intelligence combines Cloudflare data with Contentsquare telemetry to surface activity from recognized AI crawlers, including ClaudeBot, GPTBot, and Perplexity.

Teams can compare crawler activity and crawl depth with the pages that matter most to human conversion. This helps you identify gaps in how websites are being discovered and interpreted by generative AI systems—a growing area of generative engine optimization (GEO).

AI Bot Traffic in Sense Analyst combines Cloudflare data about AI bot activity with Contentsquare data about human visitors

Why it matters: AI traffic is becoming another signal in the digital experience. Understanding where crawlers go—and where they do not—can inform content, technical, and discoverability priorities.

Learn more about Agent Intelligence

4. Simplify multi-platform analysis with Combined Events and Synced Goals

What changed: Combined Events lets teams merge related actions across web, iOS, and Android using reusable OR logic. For example, web and mobile add-to-cart actions can be combined into a single event for analysis.

Synced Goals also brings existing click and pageview goals into Contentsquare as ready-to-use analysis events, reducing the need to recreate tracking configurations across properties.

Combined Events let users combine two or more existing events into one reusable event using OR logic

Why it matters: teams can analyze comparable actions across platforms without maintaining duplicate definitions for every property.

Pillar 2: prioritize the friction that matters

5. Bring Sense Analyst briefings and questions into Slack and Teams

What changed: Contentsquare insights can now be delivered within the communication tools teams use every day. Automated briefings can be shared in designated Slack or Microsoft Teams channels, and users can ask follow-up questions by mentioning Sense Analyst in a thread.

Deep links connect each briefing to the underlying Contentsquare analysis, enabling users to move from a summary to the source data when further investigation is needed.

Analyst briefings can be delivered directly to Slack and Microsoft Teams channels on the project's curated insights schedule (daily or weekly), with a link back to the full Newsroom briefing

Why it matters: insights are more likely to influence decisions when they appear in the same place where teams already discuss incidents, campaigns, and priorities.

Learn more about Sense Analyst in Slack

6. Put UX performance into context with Dynamic Benchmarks

What changed: Dynamic Benchmarks compares experience metrics with matched peer cohorts based on factors such as industry sub-segment, conversion model, and audience profile.

The experience highlights gaps in areas such as product detail page (PDP) performance and add-to-cart (ATC) click rates, then points teams toward UX and UI patterns associated with stronger performers.

Dynamic Benchmark adds benchmark-grounded context to Sense Analyst by comparing UX metrics with a cohort of genuine peers

Why it matters: A metric is more useful when teams understand what “good” looks like for a comparable business—not just for a broad industry average.

7. Build charts with natural-language prompts

What changed: Smart Builder lets users describe the chart they want in plain language and turns the prompt into a rendered visualization. Sense Analyst can also generate editable, query-backed chart objects that users can modify or pin to dashboards.

Furthermore, automatic naming suggestions help you keep new charts organized and make them easy to understand.

Smart Builder is a contextual natural-language input embedded in the chart creation page

Why it matters: more teams can move from a question to a usable analysis without first learning how to construct a complex query.

8. Connect technical issues to potential business impact

What changed: teams can move from an error detail page to the Users module and export affected user records for targeted follow-up. Real User Monitoring (RUM) data is available alongside potential missed-revenue indicators, while the Query Builder supports custom charts for Core Web Vitals, like LCP, CLS, INP, FCP, and TTFB.

Teams can analyze these metrics using measures such as the 75th percentile, average, or median, depending on the question they’re investigating.

Ask natural language questions about web performance, and Sense Analyst can surface RUM data, including LCP, CLS, INP, TTI, and TTFB, in a structured widget with a narrative response

Why it matters: technical teams can prioritize errors and performance issues based not only on severity, but also on the customers and business outcomes they may affect.

Pillar 3: act on validated insight

9. Move from behavioral insight to live A/B testing

What changed: Contentsquare Experimentation connects behavioral analysis with client-side A/B testing. Teams can use observed friction to develop a hypothesis, launch a test, and evaluate the outcome without exporting the analysis to a separate workflow.

Sense Analyst can support the process by examining baseline behavior, helping draft test hypotheses, and summarizing win or loss outcomes. Historical behavioral data can also be used to monitor downstream effects after a change is introduced.

Move from a Contentsquare insight to a live A/B test, with Sense supporting test setup and win or loss summaries

Why it matters: the loop between identifying a problem and testing a solution becomes shorter, more connected, and easier to evaluate.

Learn more about Experimentation

10. Bring experience data into design and workflow tools with MCP

What changed: the Model Context Protocol (MCP) ecosystem extends Contentsquare data and actions beyond the Contentsquare interface.

The Figma Make connector can help designers explore journey metrics and drop-off points in their design workflow. The Heap MCP server provides read-only access for supported LLM tools to run funnels and counts on product analytics data. Sense Analyst action connectors also connect with tools such as Jira, Confluence, Linear, Notion, and Monday.com.

Furthermore, admin controls help teams manage permissions and decide which tools can access or act on their data.

Why it matters: experience data becomes easier to use where teams design, plan, build, and collaborate—not only where analysts work.

Learn more about MCP

11. Streamline survey delivery with native VoC and unified APIs

What changed: Survey capabilities are now managed within the Contentsquare Experience Platform’s master projects, reducing the need for third-party redirects and redundant tags.

A unified targeting API using `_uxa` commands brings survey targeting into a single implementation approach, reducing the need for separate survey triggers.

Access surveys via the Surveys tab

Why it matters: teams can deploy and target surveys more easily without managing separate integrations or triggers. By bringing survey delivery closer to their existing experience analytics setup, Contentsquare reduces implementation overhead and makes it easier to connect customer feedback with behavioral data.

Learn more about Survey capabilities

12. Improve mobile quality with remote masking and AI error diagnostics

What changed: mobile teams can update screen-masking rules remotely, without shipping a new app release. Tracking code can also be injected automatically into registered WebViews, reducing manual web-tag changes.

AI-generated mobile error summaries provide diagnostic overviews, device-impact breakdowns, and reproduction steps for native crashes. The platform also supports iOS 27 rendering and masking requirements for Liquid Glass and legacy Apple design systems.

Remote Masking by Screen lets account admins configure screen level masking or unmasking from the Contentsquare Console, without developer intervention

Why it matters: Engineering and QA teams can respond to privacy, tracking, and quality issues faster—especially when a new app release would otherwise delay the fix.

Which update should your team start with?

• Want to understand how customers move across devices? Start with Journey Explorer.

• Want to connect support issues with digital behavior? Explore Conversation Intelligence.

• Want to understand how AI crawlers access your website? Use Agent Intelligence.

• Want to put UX performance into context? Explore Dynamic Benchmarks.

• Want insights delivered where your team already works? Set up Sense Analyst for Slack or Microsoft Teams.

• Want to test changes without breaking the analysis workflow? Explore Contentsquare Experimentation.

• Want designers and developers to work with experience data directly? Look at the MCP ecosystem.

• Need to adjust mobile privacy or investigate crashes? Explore Remote Screen Masking and AI error diagnostics.

Ready to explore the new updates? Request a demo!

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