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📈 '''Lifetime value''' is a metric that quantifies the total economic worth a [[Definition:Policyholder | policyholder]] is expected to generate over the entire duration of their relationship with an [[Definition:Insurance carrier | insurance carrier]] or [[Definition:Insurance distribution | distribution]] platform. In insurance, this calculation goes well beyond simple [[Definition:Premium | premium]] revenue — it accounts for [[Definition:Renewal | renewal]] rates, [[Definition:Cross-selling | cross-selling]] potential across multiple [[Definition:Line of business | lines of business]], expected [[Definition:Claims | claims]] costs, [[Definition:Acquisition cost | acquisition costs]], and servicing expenses. The metric has gained particular traction within [[Definition:Insurtech | insurtech]] companies and [[Definition:Direct-to-consumer (DTC) | direct-to-consumer]] insurers, where data-driven growth strategies depend on understanding unit economics at the customer level.

🔄 Calculating lifetime value in insurance requires modeling several interconnected variables. A personal lines [[Definition:Auto insurance | auto insurer]], for instance, might estimate that an average customer stays for six years, pays $1,200 annually in premium, generates a [[Definition:Loss ratio | loss ratio]] of 65%, and has a 30% probability of adding a [[Definition:Homeowners insurance | homeowners]] or [[Definition:Umbrella insurance | umbrella]] policy during that period. The insurer nets out [[Definition:Commission | commissions]], [[Definition:Underwriting expense | underwriting expenses]], and claims to arrive at a per-customer profit figure, then projects it forward using retention curves. Sophisticated carriers feed [[Definition:Predictive analytics | predictive analytics]] models with behavioral, demographic, and [[Definition:Telematics | telematics]] data to segment customers by expected lifetime value, enabling more precise decisions about how much to spend on [[Definition:Customer acquisition cost (CAC) | customer acquisition]] and which policyholders warrant premium retention efforts.

🎯 Getting lifetime value right shapes strategic decisions across the organization. Marketing teams use it to set ceiling prices for [[Definition:Lead generation | lead generation]] and distribution partnerships — if a customer segment's lifetime value is $2,500, spending $800 to acquire them may be justified even if the first policy year is barely profitable. [[Definition:Underwriting | Underwriting]] teams can incorporate lifetime value signals into [[Definition:Risk selection | risk selection]], recognizing that a marginally profitable risk today could become highly valuable through retention and bundling. For investors evaluating insurtech business models, a healthy ratio of lifetime value to acquisition cost is one of the clearest indicators that the company can scale sustainably rather than simply buying growth with subsidized pricing.

'''Related concepts'''
{{Div col|colwidth=20em}}
* [[Definition:Customer acquisition cost (CAC)]]
* [[Definition:Retention rate]]
* [[Definition:Loss ratio]]
* [[Definition:Cross-selling]]
* [[Definition:Predictive analytics]]
* [[Definition:Policyholder]]
{{Div col end}}

Definition:Lifetime value - Revision history

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