Clarity AI Copilot: Asking Questions About Your User Data

Clarity's AI Copilot transforms behavior analytics from a specialist skill into something anyone on your marketing team can use. Ask questions in plain English and get data-backed answers about user behavior instantly.

How Copilot Works

Copilot analyzes your Clarity data - heatmaps, session recordings, frustration signals, and user journey patterns - and responds to natural-language queries. It surfaces patterns that would take hours to find manually, making it a practical application of AI analytics explained.

Asking Effective Questions

The best Copilot questions are specific and action-oriented. Instead of "How is my site performing?" ask "Which landing pages have the highest dead click rate this week?" or "What device types show the most rage clicks on the checkout page?" Specific questions yield specific, actionable answers.

Question Categories

Diagnostic questions ("Where are users getting frustrated?"), comparative questions ("How does mobile behavior differ from desktop?"), and trend questions ("Has rage click rate improved since last month?") each unlock different insights for optimization.

Marketing-Specific Use Cases

Ask Copilot to analyze behavior by traffic source to understand campaign quality. "Show me how Google Ads visitors interact with our pricing page" or "Which campaigns drive the most frustrated visitors?" These questions connect behavior data to campaign performance, enhancing your campaign optimization workflow.

Democratizing Insights Across Your Team

Copilot eliminates the need for specialized analytics training. Product managers, designers, and executives can all query user behavior data directly. This aligns with the broader trend of conversational analytics making data accessible to non-technical stakeholders.

Understanding Copilot's Limitations

Copilot excels at surfacing patterns within your Clarity data but can't connect to external data sources like ad platforms or CRM systems. For cross-channel insights that combine behavior data with campaign performance, you need a unified analytics layer that brings these data sources together.