What is persistency in protection insurance, and why does it matter?

A simple definition

Persistency measures how many policies sold in a period are still in force at a later point. A firm that writes 1,000 policies in January and still has 880 of them active twelve months later has 12-month persistency of 88%. Insurers, networks and brokers track it at 12, 24, 36 and 48 months, and often by product, adviser, lead source and customer segment.

The inverse figure, the lapse or cancellation rate, describes the same thing from the other side. Both matter because protection is sold on a long-term promise: the customer only benefits if the cover is still there when they need it.

Why distributors feel it so directly

Most protection commission is paid upfront on an indemnity basis, against the expectation that the policy stays on the books. If it lapses within the earnings period set in the insurer's terms, part of that commission is reclaimed. That reclaimed commission is clawback, and it arrives as a monthly bill that has nothing to do with this month's sales.

So persistency is not a back-office statistic. A distributor writing strong volumes with weak persistency can be less profitable than a smaller firm whose customers stay. It also shapes the commercial terms insurers are prepared to offer, because insurers price on how long business stays in force.

What persistency tells you about customer outcomes

Under the FCA's Consumer Duty, firms must act to deliver good outcomes for retail customers, including support that meets their needs through the life of a product. A policy cancelled because the customer no longer needs it is a reasonable outcome. A policy lost because a direct debit failed after a change of bank, or because the customer never understood what they had bought, is not.

That is why persistency data is most useful when it is broken down by reason. The headline number shows how much revenue is at risk. The reasons show whether customers are being served well.

The common causes of poor persistency

Distributors who analyse their lapses usually find a mix of affordability pressure, failed payments that were never chased, customers who did not fully understand the cover or why it was recommended, replacement by another provider, and simple disengagement: the customer heard nothing after the sale and stopped valuing the policy.

Many of these are visible early. A customer who has not received their documents, thinks the policy details are wrong, or has not cancelled the cover they were replacing is far more likely to cancel later. Those issues tend to surface in the first weeks after the sale, long before a lapse.

How distributors improve it

The levers are well understood: sound advice and suitability at the point of sale, clear documentation, a post-sale contact that confirms the customer understands their cover, prompt action on failed payments, and periodic reviews that keep the cover relevant as life changes.

The practical difficulty is scale. Calling every new customer and every failed payment is expensive, and many customers would rather not take an unexpected call. Automated, structured engagement journeys let a firm reach every customer in a consistent way and route only the ones who need help to an adviser or service team.

What our data shows

Across anonymised Adviser.ai client data, customers who complete a post-sale check have been around 50% less likely to cancel than customers who do not. That is an observed association rather than a guarantee, and it varies by firm and product. But it is consistent with what distributors see in their own books: engaged customers keep their cover.

Questions to ask of your own book

What is your persistency at 12 and 48 months, by product and lead source? Which lapse reasons could have been spotted earlier? What proportion of new customers do you speak to, or hear from, after the sale? And how much is clawback costing you each month? The answers usually show where the biggest gains are.

Persistency and insurer relationships

Insurers watch distributor persistency closely because it affects the profitability of the business they write. Firms with strong, stable persistency are generally in a better position when discussing commission terms, product access and support. Being able to show cohort data, the reasons behind lapses and the actions taken to improve them strengthens that conversation further, and demonstrates the kind of outcome monitoring the Consumer Duty expects across the distribution chain.