Contentsquare Integrates with Claude, Enabling Natural Language Analysis of Customer Behavior Data

Gaprise Inc. (Headquarters: Chiyoda-ku, Tokyo, Representative Director and CEO: Akiyuki Kai), a digital business support company, announced that Contentsquare S.A. (Headquarters: New York, CEO: Jonathan Cherki) officially released the 'Contentsquare Claude Connector', an official integration connector with Anthropic's AI 'Claude', on June 3, 2026.

By simply asking in natural language from Claude's chat screen, users can directly analyze customer behavior data collected by Contentsquare. Setup takes about 2 minutes, and no dedicated engineer is required. As the official distributor of Contentsquare in Japan, Gaprise will introduce this feature to the domestic market.

Background: Analysis data isolated in AI environments; operational barriers lower productivity

According to research by the Fuji Keizai Group, the AI-related market in Japan is expected to reach 1.8301 trillion yen in FY2025 and expand to 3.1779 trillion yen in FY2029, a 2.1-fold increase compared to 2024. (*1) While generative AI tools like ChatGPT and Claude are increasingly becoming central to business operations, UX analysis data has remained isolated within dedicated dashboards, preventing direct utilization from AI environments. Personnel have been forced to perform the round-trip task of 'opening an analytics tool -> copying data -> pasting it into AI,' which impairs decision-making speed.

*Source: Fuji Keizai Group "Japan AI-related Market Research"

Solution: Eliminating the barrier between insights and action

For years, customer experience data has been isolated within dashboards, dispersed across tools, slow to access, and only usable by a select few dedicated analysts. For product, marketing, and management teams to understand digital customer behavior, they had to rely on reports or data analysts, which slowed down decision-making.

The Contentsquare Claude Connector is an official connector that utilizes Anthropic's MCP (Model Context Protocol: an open standard connecting AI and SaaS tools). It enables teams to call up UX data collected by Contentsquare directly from the AI environments they are already using.

What users can do with Claude:

- Identify drop-off points in key flows

Instantly understand 'where and why users drop off' in steps like checkout and onboarding.

- Compare across campaigns, devices, and channels

Conduct cross-sectional comparative analysis of effectiveness by initiative or device.

- Discover friction points in real-time and prioritize them

Instantly identify where users are stuck and determine the order of response.

- Directly link customer behavior to conversions and sales

Understand behavioral data and revenue impact end-to-end.

Key technical features:

Natural language queries: Provides immediate answers to questions like, 'Why do users drop off at checkout?'

No dashboard required: Access data without logging into or operating multiple tools.

Cross-system analysis: Enables cross-queries with other tools like Jira and Optimizely.

Scheduled analysis: AI agents can automatically generate regular business summaries.

Availability and Usage Instructions:

The Contentsquare MCP connector is available on all Claude plans: Free, Pro, Max, Team, and Enterprise. Setup is completed in about 2 minutes. After logging into your Claude account, follow these steps to configure it:

Open 'Settings' and go to 'Customize' from the 'Connectors' tab.

Click 'Browse Connectors' from the + (plus) icon to display a list of available connectors.

Select Contentsquare from the list.

Click 'Connect' and follow the on-screen instructions to authorize the MCP integration.

This connector operates in all environments: Claude.ai (Web version), Cowork, Claude Desktop, and Claude Mobile.

Regarding Security: Customer data is not used for training external AI models

Contentsquare explicitly states its policy of not using customer data for training external AI models. It is provided under a security framework that is GDPR/CCPA compliant, ISO 27001/ISO 27701 certified, and SOC2 Type2 compliant.