Review midterm cancellations by policy inception cohort

A policy started last month has had less time to cancel than one started last year. A raw cancellation share can make recent production look better simply because it is younger. A fixed early window, such as the first 90 days for a review, allows a more comparable diagnostic.

Define the data before the metric

One row represents: one policy term with its inception date and observed cancellation event, if any.

Useful fields: Term ID, inception date, cancellation effective date, observed-through date, reason category, line, source channel, signed premium and return commission.

Choose a review window and use only terms with enough observation time for final comparisons. Keep less mature terms in a separate section. Calculate early cancellation count divided by fully observed terms for each cohort. Summarize related return commission from actual transactions rather than assuming a full reversal.

Worked example

The following records and amounts are invented to show the method. They are not customer results, industry benchmarks or a forecast of Covirage performance.

January's observed early cancellation share is 8% and February's is 5%. September's 5% is based on only 20 mature terms and should not be compared as if all 80 had completed 90 days. The 90-day window is an illustrative review choice, not an industry standard.

Use the result in a review

1. Inspect reason patterns and service or billing context in cohorts with unusual outcomes.
2. Compare similar lines and acquisition sources before deciding that one producer's business is less durable.
3. Include actual income adjustments in the review so a count-based issue is assessed for materiality.

Checks before publishing

• Do not mix cancellation notice date with cancellation effective date without labeling the choice.
• Separate renewal nonrenewal events from midterm cancellations.
• Confirm every term has a known observation horizon and that reversals or reinstatements follow an explicit outcome rule.

Where this analysis can mislead

A cancellation can reflect a changed client need, business closure, replacement cover or data correction. The cohort view identifies patterns to investigate; it does not establish fault or the adequacy of coverage.

Explore this question with your own data

Bring a small, authorized sample to Covirage for insurance agencies and brokers. Use the sample to discuss the fields and views your business needs. A dashboard or AI analyst can help explore this question when the required data and definitions are available; missing records still need to be resolved.

Upload sample data to check its structure. Keep unnecessary personal, claims and policyholder details out of an initial sample. The sample check does not establish that every analysis in this guide is available automatically.

Related guides

• Audit completeness of insurance renewal loss reasons
• Choose an observation window for late renewal reporting
• Commercial insurance broker KPIs

Reference context

These references provide terminology or governance background. The worked example and proposed review method above are original illustrations, not prescribed industry standards.

• Insurance terminology
• Agency benchmarking context