Download Our Customer Lifetime Value Calculator Spreadsheet

Most ecommerce founders either shrug or cite a number pulled from thin air when asked their customer lifetime value. The honest ones admit they've never calculated it properly. The dangerous ones make million-dollar decisions based on fiction.

If your CLV is wrong, your CAC targets are wrong. Your budget allocation is wrong. Your growth strategy is built on lies.

This spreadsheet gives you the truth.

🎯 What You'll Get:

A comprehensive CLV calculator with three tiers of sophistication—from basic historic CLV to advanced profit-adjusted predictive models. Built specifically for Australian ecommerce operators who need real numbers, not approximations.

✓ Calculate CLV by customer segment and acquisition channel

✓ Use predictive models based on purchase intervals (not guesswork)

✓ Adjust for profit contribution, not just revenue

✓ Identify high-value vs. low-value customer segments

✓ Set accurate CAC targets by channel

✓ Prioritize retention investments based on true customer value

✓ Forecast revenue using predictive CLV models

📊 Three Tiers of CLV Calculation:

• Tier 1: Segment-Based Historic CLV – Best for businesses under $2M or with <18 months data

• Tier 2: Predictive CLV Using Purchase Intervals – For $2M-$5M businesses with 18+ months data

• Tier 3: Profit-Adjusted Predictive CLV – Most sophisticated, for businesses above $3M seeking precision

🛠️ What's Inside:

• Customer Segmentation Framework – By acquisition source, cohort, and behavior

• Purchase Interval Calculator – Predict when customers will churn using behavioral patterns

• 3x Churn Rule – Identify churned customers automatically

• Predictive Revenue Model – Estimate remaining purchases per customer

• Profit Adjustment Calculations – Account for margin, shipping, returns, discounts

• CAC Target Calculator – Set maximum acquisition cost by segment based on CLV

• Retention Priority Matrix – Identify which customers deserve retention investment

• CLV Realization Rate Tracker – Measure if predictions actually materialize

• 30-Day Implementation Sprint – Step-by-step guide to build your CLV model

🇦🇺 Australian Ecommerce Benchmarks:

• Category-specific CLV ranges (Fashion $180-$450, Beauty $220-$600, Supplements $350-$900)

• Realistic LTV:CAC ratios for sustainable growth

• Acquisition cost benchmarks by channel

• AUD currency formatting throughout

💡 Why This Matters:

The healthy 3:1 LTV:CAC ratio means customer value should be 3x acquisition cost. But if you've miscalculated CLV by 30%, you've miscalculated acceptable CAC by 30%.

You might be:

→ Overspending on acquisition channels that destroy value

→ Underspending on channels that print money

→ Investing retention efforts in low-value customers

→ Ignoring high-value customers who are churning

Off-the-shelf CLV calculators fail because they:

1. Assume all customers are identical (80% of value comes from top 20%)

2. Use revenue instead of profit (margins vary wildly)

3. Require "customer lifespan" as input (the thing you're trying to calculate)

This calculator fixes all three flaws.

⚡️ From Calculation to Action:

A CLV number in a spreadsheet creates zero value. The framework shows you how to use it:

• Set CAC targets by channel based on segment CLV

• Prioritize retention: high-CLV at-risk customers get maximum investment

• Forecast revenue using predictive models

• Identify CLV improvement opportunities across segments

• Track CLV Realization Rate to validate predictions

Includes complete 30-day implementation sprint:

• Week 1: Data foundation and export

• Week 2: Customer-level aggregation

• Week 3: Interval and predictive calculation

• Week 4: Segment analysis and action planning

⚡️ Free Download – No email required.

From the team at Uncommon Insights, helping Australian ecommerce operators build sustainable, profitable growth through accurate customer economics.