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Cohort Benchmarking helps teams understand financial behaviour in context by comparing individuals, segments or portfolios against relevant peer groups. Rather than reviewing metrics in isolation, teams can see how performance aligns with typical behavioural patterns.

This provides a clearer view of what is normal, improving interpretation across reporting, risk and strategy functions.

How benchmarks are generated

Behavioural metrics are aggregated across defined cohorts, such as product type, risk band or behavioural profile.
Individual or portfolio metrics are then compared against cohort medians and ranges to highlight relative position.

Cohorts can be configured to match reporting needs while maintaining consistency across analysis. Here is an example output:

{
  "cohort": "low_risk_segment",
  "benchmarks": {
    "median_cashflow_buffer_days": 17,
    "median_overspend_risk": "low",
    "median_income_stability_score": 0.72
  },
  "subject": {
    "cashflow_buffer_days": 11,
    "overspend_risk": "medium",
    "income_stability_score": 0.59
  }
}

Why it matters

Benchmarks add essential context to reporting. By understanding how behaviour compares to peers, teams can interpret metrics more accurately and track performance more meaningfully over time.

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Cohort Benchmarking delivers peer-based insight to support reporting, comparison and strategic decision-making.

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