Customer Usage Analytics: Product Metrics
Use your OpenClaw agent to track product usage events, analyze funnels, compare cohorts, and generate usage reports that drive better product decisions.
What You Will Get
After this guide, your OpenClaw agent will track and analyze customer usage data from your product. You will be able to see which features are used most, where users drop off in critical flows, how different cohorts behave over time, and what patterns correlate with retention or churn.
The agent connects to your product analytics data source and provides conversational access to usage metrics. Instead of building complex queries in an analytics tool, you ask questions like 'What percentage of users who signed up last month used the export feature in their first week?' and get clear, data-backed answers.
Automated usage reports run on a schedule and highlight changes in key product metrics. These reports surface trends that might otherwise go unnoticed, such as a gradual decline in feature adoption or a spike in user activity following a release. This gives your product team the data they need to prioritize effectively.
Step-by-Step Setup
Connect your product data and start tracking usage analytics.
Connect Your Analytics Data Source
In the Data Sources panel on RunTheAgent, add the database or analytics platform where your product usage events are stored. This might be a PostgreSQL database, a data warehouse, or an analytics API. The agent needs read access to event tables that contain timestamps, user identifiers, and event names.
Map Your Event Schema
Tell your agent about your event structure. Describe the key event names, what they mean, and which columns contain the user ID, timestamp, and event properties. For example, 'The page_view event has a user_id, timestamp, and page_url column.' This mapping allows the agent to interpret your data accurately.
Run Your First Usage Query
Ask your agent a question about product usage, like 'How many unique users were active each day this week?' The agent generates the query, runs it, and presents the results. Verify the numbers against a known source to confirm accuracy before relying on the agent for ongoing analysis.
Set Up Funnel Analysis
Define the steps in a critical user flow, such as sign-up, onboarding completion, first action, and second-week return. Tell the agent the events that correspond to each step. The agent calculates conversion rates between steps and identifies where the biggest drop-offs occur.
Create Cohort Comparisons
Ask your agent to compare user cohorts based on sign-up date, plan type, or acquisition channel. Cohort analysis reveals how different groups of users behave over time and helps you measure the impact of product changes on specific user segments.
Schedule Automated Usage Reports
In the Automations panel, create a weekly report that summarizes key product metrics: daily active users, feature adoption rates, funnel conversion, and retention by cohort. The agent generates the report automatically and delivers it to your preferred channel every Monday morning.
Iterate Based on Insights
Review the reports and ask follow-up questions as patterns emerge. If you notice a drop in feature adoption, drill into the data to understand which user segments are affected and when the change started. Use these insights to inform product roadmap decisions.
Tips and Best Practices
Define Clear Event Names
Use consistent, descriptive event names in your product analytics. Events named 'button_click' are less useful than 'export_report_clicked' because the agent can generate more accurate analyses when event names clearly describe the action.
Track Both Actions and Outcomes
Capture events for user actions (clicks, page views, form submissions) and business outcomes (purchases, upgrades, churn). Connecting actions to outcomes lets you identify which behaviors predict retention or conversion.
Compare Before and After Releases
After shipping a product change, ask your agent to compare usage metrics before and after the release. This helps you measure the impact of each change and decide whether to iterate, expand, or roll back.
Frequently Asked Questions
Related Pages
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