Free Customer Lifetime Value (CLV) Calculator with Industry Benchmarks

Customer Lifetime Value (CLV), also called CLTV or LTV, measures the total revenue a business can expect from a single customer account throughout their entire relationship.

The most common ecommerce formula:

CLV = AOV × Purchase Frequency × Customer Lifespan × Profit Margin

It helps you understand how much you can afford to spend on acquiring new customers while staying profitable.

CLV varies by industry. The 2025 benchmarks show:

• Health & supplements: $400-700 (driven by repeat subscriptions)
• Electronics: $300-400
• Beauty & cosmetics: $150-400
• Pet care: $200-300
• General ecommerce: $150-250
• Fashion & apparel: $100-250
• Food & beverage: $80-200

Compare your CLV to your specific industry rather than a generic target. A CLV that runs 3× or higher than your customer acquisition cost (CAC) usually signals healthy unit economics. Use the benchmark dropdown above to see where your store lands.

3:1 is the working standard for sustainable growth: every dollar spent on acquisition returns three dollars over the customer relationship.

• Below 1:1: each new customer loses money
• 1:1 to 3:1: fragile, where small CAC creep or a retention dip pushes you into the red
• Above 5:1: may signal under-investment in acquisition, leaving growth on the table

Use the optional CAC input above to see your ratio.

There are three levers:

1. Increase AOV. Cross-sells, upsells, and bundles. See our cross-selling and upselling playbook and free shipping threshold calculator.
2. Boost purchase frequency. Abandoned cart recovery, email re-engagement, and win-back campaigns. The cart abandonment guide and abandoned cart subject line examples cover the playbook.
3. Extend customer lifespan. Reduce friction and build trust. The homepage optimization guide and checkout optimization guide walk through retention-friendly patterns.

A 10% lift in each lever roughly doubles CLV over time.

In Shopify Admin:

• Returning customer rate and orders per customer: Analytics > Reports > Customers over time
• Sales by customer and AOV: Analytics > Reports > Sales over time
• Per-customer order history: individual customer profiles under Customers

To lift this number, see our Shopify conversion rate optimization guide for retention-friendly patterns.

WooCommerce has built-in analytics under WooCommerce > Analytics:

• AOV: Analytics > Orders (Average Order Value column, calculated as Net Sales ÷ Orders)
• Orders per customer: Analytics > Customers (Orders column shows lifetime orders per customer)
• Total revenue per customer: Analytics > Customers (Total Spend column)

BigCommerce built-in analytics are lighter on customer lifetime data:

• Customer overview: Analytics > Customers in the store admin panel
• Predictive 12-month revenue: BigAI Predictive Analytics (requires 6+ months of order history)
• For deeper cohort or CLV reporting, third-party tools like Chartsy or Putler add the missing layer

AOV is one component of CLV. The formula:

CLV = AOV × Purchase Frequency × Customer Lifespan × Profit Margin

Worked example: A customer with $100 AOV who buys twice a year for 3 years at 30% margin has a CLV of $180.

Increasing AOV through bundling or upsells directly raises CLV. Run our AOV calculator first to confirm your baseline.

The basic formula assumes future revenue is worth the same as revenue today. For longer-horizon CLV (5+ years), an NPV adjustment matters.

Discounted CLV per year: divide that year's contribution by (1 + r)^n where:

• r = discount rate (typically 8-12% for ecommerce)
• n = year number (1, 2, 3...)

Sum the discounted values across all years.

Most ecommerce teams skip this because customer lifespans are short and the simpler model is close enough. Use NPV-CLV only if you forecast beyond 5 years or run high-margin subscription models.

Quarterly is the working cadence for most stores.

Monthly recalculation is useful right after a major change:

• Pricing shift
• New acquisition channel launch
• Retention program rollout

Wait at least 90 days for new patterns to stabilize before drawing conclusions. If you run win-back campaigns, recalculate after each cohort completes the win-back window. See the cart abandonment guide for cohort-level recovery patterns.

Simple CLV (what this calculator returns) gives you a store-level average using your overall AOV, frequency, lifespan, and margin.

Cohort CLV groups customers by acquisition month (or quarter) and tracks each cohort separately. Cohort CLV reveals:

• Whether recent customers are more or less valuable than older ones
• Seasonality effects
• Impact of acquisition channel mix

For most stores under $1M revenue, simple CLV is enough. Cohort analysis matters once you optimize specific acquisition channels or run retention experiments.