Persistency Ratio
The share of policies still paying premium at 13/25/37/49/61 months — the lifeblood of life economics, because lapsed policies destroy the value assumed at sale.
Why you care
A life policy is only profitable if the customer keeps paying for years. Persistency measures exactly that: what share of policies are still alive at 13, 25, 37, 49 and 61 months. When policies lapse early, the future premiums the insurer priced on simply never arrive — and the value it booked at sale evaporates.
Run the numbers
Sell 100 policies; if 80 are still paying a year later, 13th-month persistency is 80% (illustrative). The 20 that lapsed took their future premiums with them. Since the insurer paid full commission upfront, an early lapse can mean it loses money on that policy outright.
Where this goes
Persistency feeds two things at once. It guts the value of new business — poor retention means the future profits assumed at sale never show up. And it erodes embedded value, because the in-force book is only worth its future premiums if those premiums keep coming.
Why you care
The persistency ratio is the percentage of life policies (by count or by premium) that are still in force and paying at set intervals after sale: the 13th month, 25th, 37th, 49th and 61st. That is, one through five years in. It is the single most important health measure of a life insurer's book, because life insurance economics depend entirely on policies staying alive.
Here is why it is the lifeblood. When a life insurer sells a policy, it books the value of all the future premiums it expects to collect over the policy's life. It pays the agent a large commission upfront out of that expectation. If the customer stops paying after a year, that entire assumption collapses: the future premiums never arrive, but the upfront commission and setup costs have already gone out. An early lapse can turn a policy that looked profitable at sale into an outright loss. So persistency is not a soft "customer satisfaction" metric — it is the difference between the value an insurer reports writing and the value it actually keeps. The 13th-month number gets the most attention because the first-year drop-off is the steepest and the most damaging; the later buckets show whether the book is durable deep into its life.
Run the numbers
An insurer sells 100 policies with an annual premium of ₹50,000 each. Track how many are still paying:
| Bucket | Policies still paying | Persistency |
|---|---|---|
| 13th month | 80 of 100 | 80% |
| 25th month | 68 of 100 | 68% |
| 61st month | 55 of 100 | 55% |
(Illustrative.) Look at the 13th-month figure. The 20 lapsed policies represented ₹10 lakh of annual premium the insurer had counted on and priced against. It paid full first-year commission on all 100, but only 80 are still funding the book. Every point of persistency lost is future premium — and future profit — walking out the door, after the acquisition cost has already been spent. This is why life insurers obsess over first-year retention, quality of sale, and stopping mis-selling: the value they booked on day one only becomes real if the policy survives.
Where this goes
Persistency runs directly into both life-value numbers. It guts the value of new business, because VNB is built on an assumption about how long policies will keep paying. Weak persistency means those future profits never materialise, and insurers must set their VNB assumptions to match reality. It also erodes embedded value, the value of the whole in-force book, since that book is only worth the premiums it continues to collect. Persistency is the reality check on every optimistic number the life side reports at the point of sale.