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LTV Inputs

Instant local calculation — no AI calls. Results update as you type. Estimates only; verify with your own data.

Customer Lifetime Value (LTV) Calculator

Customer Lifetime Value: $960.00

Formula: LTV = Average Order Value × Purchases/Year × Lifespan (years)

Customer Lifetime Value

Zetawala Calculation

$960.00

Annual Customer Value

Zetawala Calculation

$320.00

Total Projected Revenue (per customer)

Zetawala Calculation

$960.00

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Algorithm Optimization & SEO Insights

How this metadata tool helps search visibility & content ranking.

Calculate customer lifetime value with Zetawala’s free LTV calculator using average order value, purchase frequency, and lifespan. Deterministic math only—no AI—so marketers, ecommerce owners, and SaaS teams get an instant, transparent LTV they can compare to CAC. Formulas and totals update as soon as you change inputs.

Practical Usage Example

Standard input parameters and the expected optimization output.

Sample Input

AOV: $80 · Purchases/year: 4 · Lifespan: 3 years

Generated Output

LTV $960 · Annual customer value $320 · Projected revenue per customer $960

Frequently Asked Questions

Essential answers to technical ranking & search indexing questions.

What is the LTV formula used here?
LTV = Average Order Value × Purchases per Year × Customer Lifespan (years). Annual value = AOV × Frequency.
Is this customer LTV calculator free and AI-free?
Yes. It is free on Zetawala and uses only deterministic math—no machine learning or invented benchmarks.
How do I use LTV with CAC?
A healthy rule of thumb is LTV several times higher than CAC. Pair this tool with the Customer CAC Calculator to see whether acquisition spend is sustainable.
Does LTV include profit margin or only revenue?
This calculator projects revenue LTV from order value and repeat purchases. For contribution margins, combine with profit-margin or unit-economics tools.
Who benefits from calculating customer LTV?
Ecommerce brands, subscription businesses, agencies, and growth marketers deciding how much they can spend to acquire a customer.
What if purchase frequency is irregular?
Use a realistic average over a year. You can model optimistic and conservative frequency scenarios—results update instantly for each.