Retention Curve Analyzer

Retention Curve Analyzer MCP Connector for Claude

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Analyze cohort retention curves to identify stability versus churn and compare against industry benchmarks.

3 tools Official Updated Jun 28, 2026 Official Vinkius Partner

The Retention Curve Analyzer is a specialized tool for product managers and growth engineers. It helps you understand user engagement by analyzing retention sequences to determine if your curve is analyze_retention_trend (flattening) or classify_curve_pattern (declining). By using verify_benchmark_compliance, you can compare your actual D1, D7, D30, and D90 metrics against hardcoded industry standards for SaaS, Mobile Gaming, and E-commerce. This allows you to identify 'Smiling Curves' that signify healthy long-term retention versus 'Declining Curves' that indicate high churn risk.

retentioncohortschurnbenchmarksanalytics

3 tools expose this connector's capabilities to your AI agent.

analyze_retention_trend

Determines if a retention sequence is flattening or declining

classify_curve_pattern

Classifies the retention curve pattern

verify_benchmark_compliance

Compares cohort metrics against industry benchmarks

See how to talk to your AI agent using Retention Curve Analyzer.

Is my retention curve flattening or declining? Here are the values: [100, 50, 30, 25, 22]

The retention curve is Flattening. The recent drop from 25 to 22 is minimal, indicating the curve has reached a plateau.

Check if my SaaS product meets D7 benchmarks. My D1 is 40% and D7 is 20%.

The compliance report shows that your D7 metric failed to meet the SaaS benchmark.

What pattern does this sequence represent: [100, 80, 60, 40, 20, 5]?

The pattern is classified as Declining because the sequence shows a continuous downward trend approaching zero.

The `analyze_retention_trend` tool examines the change between consecutive values in your retention sequence. If the decrease between recent intervals falls below a specified stability threshold, it is marked as Flattening.

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