6 Best Customer Lifetime Value (CLV) Tools in 2026

Customer lifetime value tells you how much a customer is worth over the whole relationship, which is the number that decides how much you can afford to spend acquiring and keeping them. You can work it out in a spreadsheet; our customer lifetime value formula guide shows how, with a worked example. The tools below do it from your real order or subscription data, keep it current, and in several cases predict it per customer so you can act on it.

Historic vs predicted CLV

• Historic CLV is what a customer has spent so far. It is exact but backward-looking.
• Cohort LTV tracks how much a group of customers acquired in the same period spends over time, which shows whether newer customers are worth more or less than older ones.
• Predicted CLV forecasts future spend for each customer from their order patterns. It is what you need to decide who deserves a VIP offer or a win-back budget.

Most tools below do one or two of these well. Pick based on which question you need answered, not on which dashboard looks fullest.

How we picked these tools

Each tool had to calculate or predict lifetime value from real customer data (not only offer a calculator), be available to new customers in October 2026, and document its plans and any data requirements on its own site or help center. We read every price and requirement there in October 2026. We did not run paid trials.

At-a-glance comparison

The best customer lifetime value tools

1. Klaviyo: predicted CLV on every customer profile

Klaviyo's predictive analytics show historic CLV (all previous orders, after refunds and returns), predicted CLV (expected spend over the next year), churn risk, average time between orders and predicted gender on each profile. Because the numbers sit inside the marketing platform, you can segment and send on them directly.

Requirements and pricing (as of October 2026): at least 500 customers with orders, an ecommerce integration or API sending orders, at least 180 days of order history with orders in the last 30 days, and some customers with three or more orders. It is part of Klaviyo, priced by active profiles. Strengths: CLV you can act on in the same tool. Limits: smaller or newer stores will not meet the data threshold.

2. Lifetimely by AMP: LTV next to profit

Lifetimely, now part of AMP, combines daily profit and loss, predictive lifetime value by product, promotion and cohort, true customer acquisition cost and customer journey tracking. Paid plans include its Profit Agent, which monitors the store and proposes actions for approval.

Pricing (as of October 2026): free up to 50 orders a month; M is $149 a month for 501 to 3,000 orders; XL $499, XXL $749 and Unlimited $999 a month at higher order volumes. Strengths: LTV in the context of margin and CAC. Limits: ecommerce only.

3. Peel: cohort analytics for DTC brands

Peel automates ecommerce analytics with more than 30 cohort KPIs, product metrics and customer journeys, focused on retention, subscriptions and lifetime value for direct-to-consumer brands. All plans include the full feature set; higher tiers add support and custom report credits.

Pricing (as of October 2026): Core $179 a month billed annually or $199 month to month, Essentials $449 or $499, Accelerate $809 or $899, and Tailored custom, with tiers set by monthly order volume; there is a 7-day free trial. Strengths: deep cohort views without building them yourself. Limits: it reports LTV rather than acting on it, so pair it with a messaging tool.

4. Google Analytics 4: free predictive revenue

GA4 offers predictive metrics: purchase probability (next 7 days), churn probability (next 7 days) and predicted revenue from purchases in the next 28 days for users active in the last 28 days.

Requirements and pricing (as of October 2026): free, but a property qualifies only if, in the last 28 days, at least 1,000 returning users triggered the relevant condition over a seven-day period and at least 1,000 did not, with purchase events sent with value and currency. Strengths: no cost. Limits: a 28-day revenue forecast, not full lifetime value.

5. ChartMogul: LTV for subscription businesses

ChartMogul calculates MRR, ARR, churn and LTV automatically from your billing data, which makes it the natural fit for SaaS and other subscription businesses.

Pricing (as of October 2026): free up to $10K MRR; Starter, Pro and Enterprise plans scale with revenue, and annual billing is discounted. Strengths: accurate subscription LTV without spreadsheets. Limits: not designed for one-off ecommerce purchases.

6. Pecan AI: build your own LTV model

Pecan AI lists customer LTV among its predictive use cases, alongside churn prediction and demand forecasting, and includes its agentic AI on all plans. Plans differ by the number of monthly prediction batches and storage.

Pricing (as of October 2026): Starter, Team and Business plans; Starter includes two monthly prediction batches. Strengths: custom models on your own data. Limits: more setup than the ready-made dashboards above. Our predictive marketing platforms roundup covers Pecan in a wider context.

How to choose and use CLV

Ecommerce stores on Klaviyo should start with its built-in predictions once they qualify, and add Lifetimely or Peel for profit and cohort views. Subscription businesses should use ChartMogul. Whatever the tool, CLV only pays off when it changes what you do: spend more to keep high-value customers, stop discounting to low-value ones, and set acquisition budgets against real value. Our roundups of customer segmentation software and loyalty program software cover the tools that turn CLV into action, and our customer journey mapping tools guide helps you see where value is won or lost.

Frequently Asked Questions

What is the best tool to calculate customer lifetime value?
For a Shopify or ecommerce store, Klaviyo shows historic and predicted CLV per customer once you meet its data requirements, and Lifetimely and Peel add cohort LTV reporting. For subscription software, ChartMogul reports LTV alongside MRR and churn. For custom predictive models across any business, Pecan AI lists customer LTV as one of its prediction use cases.

How do you calculate CLV?
A common simple formula is average order value times purchase frequency times customer lifespan, or for subscriptions, average revenue per account divided by churn rate. Our customer lifetime value formula guide walks through a worked example. The tools on this page calculate it from your real order or subscription data instead of averages.

What is the difference between historic and predicted CLV?
Historic CLV is what a customer has already spent. Klaviyo defines it as the total value of all previous orders, after refunds and returns. Predicted CLV is a forecast of future spend; Klaviyo's version predicts how much a customer will spend in the next year.

Is there a free CLV tool?
Google Analytics 4 includes predictive metrics, including predicted revenue for the next 28 days, at no cost if your property meets the eligibility thresholds. ChartMogul is free up to $10K in monthly recurring revenue, and Lifetimely has a free tier for stores with up to 50 orders a month.