Customer lifetime value is the total revenue, or gross margin, a customer is expected to generate over the whole relationship: average revenue per period times gross margin times expected lifetime, where lifetime is one over the churn rate. It is compared with acquisition cost; an LTV to CAC ratio of three or higher indicates a model that scales. Expected LTV by segment is also a lead scoring input: a lead in a segment that stays five years outranks one in a segment that churns in one.
LTV is estimated by cohort, since early customers and recent ones behave differently, and by segment, since agencies, enterprises and small businesses have different lifetimes. Credits that never expire, as on BounceZero, lengthen the measured lifetime because customers return to top up rather than lapse.
For lead prioritisation, segment LTV multiplies the fit score. The same logic argues for spending more on data quality in high-LTV segments: a missed hot lead in a segment worth five years of revenue costs far more than the verification that would have caught the typo.
Two segments: agencies with $1,800 average annual spend and 25% annual churn, LTV about $7,200; one-off senders with $30 and 80% churn, LTV about $38. Lead scoring weights agency leads accordingly, and the agency signup form carries real-time validation while the free checker does not need it.
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Verify Leads - FreeAyoub built BounceZero's 5-stage validation pipeline, its dedicated BGP-announced IP infrastructure, and the Patroni HA PostgreSQL cluster behind every verification. Previously built high-volume email delivery infrastructure. Trained at 1337 Benguerir (École 42 network, 2019). Open-source: bgp_analyzer.