#2837 · Sports & Gaming Tool

Game Server Player Lifetime Value Calculator

Estimate the economic value of a player on a persistent game server. The model uses monthly revenue, gross margin, retention, and acquisition cost to calculate gross lifetime value, net value after acquisition, and the expected active lifetime. Use it for scenario planning while keeping cohort, platform, and currency assumptions consistent.

Calculator

Player economics
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How to use this calculator

  1. Enter the scenario inputs using one consistent period and unit basis.
  2. Check probability, rate, or capacity assumptions against current data.
  3. Select Calculate to update the main result and supporting metrics.
  4. Change one assumption at a time to compare scenarios.

Formula

Expected months = 1 ÷ (1 − monthly retention)
Gross-margin LTV = monthly revenue × gross margin × expected months
Net LTV = gross-margin LTV − acquisition cost

What the result means

Net LTV approximates contribution after variable delivery costs and player acquisition, before fixed overhead, taxes, and the time value of money.

This constant-retention model is intentionally simple. Cohort curves are preferable when retention changes sharply with player age.

Example calculation

At $18 monthly revenue, 65% margin, 82% retention, and $9 acquisition cost, net LTV is $56.00.

Tips for better results

  • Use cohort revenue rather than registration totals.
  • Exclude taxes and pass-through marketplace charges from revenue.
  • Update retention with mature cohorts.
  • Test a downside retention case.
  • Compare channels on the same attribution window.

Frequently asked questions

Why must monthly retention be below 100%?

At 100% retention the constant-rate model implies an infinite lifetime, so it cannot produce a finite estimate.

Does player LTV include fixed server and staff costs?

No. The result uses gross margin and acquisition cost; fixed overhead must be considered separately.

Should monthly revenue include non-paying players?

Use revenue divided by all players in the cohort if you want per-acquired-player LTV.

How does a higher retention rate affect lifetime value?

Higher retention extends the expected active lifetime and therefore increases estimated lifetime value.

Can I compare stream and non-stream acquisition with this model?

Yes, provided both channels use the same revenue, margin, retention, and attribution definitions.

LTV assumptions

InputIncluded
Monthly revenueAverage recognized player revenue
Gross marginRevenue less variable service costs
RetentionShare remaining active month to month
Acquisition costAttributed cost to acquire one player

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