Understand performance in context

Benchmarking provides comparative insight into financial behaviour by measuring individuals, portfolios or segments against relevant peer groups. Rather than interpreting metrics in isolation, teams can understand how behaviour aligns with typical patterns across defined cohorts.

This adds essential context to reporting, helping teams distinguish between normal variation and meaningful deviation.

How benchmarks are generated

Behavioural metrics are aggregated across defined cohorts, such as product type, risk band or behavioural profile.

Individual, portfolio or segment-level metrics are then compared against cohort medians and ranges to indicate relative position and variance. Cohorts can be configured to meet reporting needs while maintaining consistency across analysis. An example structured output is shown below:

{
  "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 provide critical context for interpreting financial behaviour. They help teams understand whether observed metrics fall within expected ranges or indicate deviation that warrants closer review.

By grounding analysis in peer-based comparison, teams can track performance more consistently and interpret change over time with greater confidence.

Get started

Add context to your reporting. Benchmarking delivers structured, comparative insight to support analysis, oversight and strategic review.

Compare plans or book a demo. to see it in action.