LTV is strictly a marketing metric used to measure the return on investment for user acquisition by comparing projected user revenue against the Cost Per Install (CPI).
A positive LTV > CPI spread indicates efficient marketing performance but does not guarantee overall firm profitability, as it excludes operational overhead and timing mismatches between costs and revenue.
LTV should be treated as a probabilistic projection of future cash flows rather than a reflection of realized revenue, making traditional financial discounting impractical for most developers.
Increasing marketing volume typically forces CPI to rise due to auction-based competition for finite ad placements, which inherently narrows profit margins.
Virality, or k-factor, functions as a mechanism to lower the effective cost of acquisition rather than increasing the intrinsic LTV of an individual user.
Product managers should prioritize engagement and retention metrics for product development rather than using LTV, which risks incentivizing aggressive, short-term monetization strategies.
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