HomeArticlesGuideE-commerce Metrics Guide
GUIDE

E-commerce Metrics Guide — Track, Measure, Grow

Master e-commerce metrics that drive growth — CAC, CLV, ROAS, conversion rate, cart abandonment, and churn. Formulas, benchmarks, and free calculators.

Updated 2026-06-26

Six metrics determine whether an e-commerce business is growing sustainably or spinning its wheels. Most operators know their revenue; far fewer know their CAC by channel, their true CLV, or whether their churn rate is quietly undermining every acquisition they fund. This guide covers each metric — what it is, how to calculate it, what the benchmarks are, and what to do when the number is wrong.

Overview

E-commerce measurement can be divided into two groups: acquisition metrics that tell you whether you are bringing in customers efficiently, and retention metrics that tell you whether those customers are worth what you paid to acquire them. A business can fail by optimising either group in isolation.

  • Acquisition: CAC, ROAS, Conversion Rate, Cart Abandonment
  • Retention: CLV, Churn Rate, Repeat Purchase Rate, AOV

The six steps below cover these in the order that creates actionable clarity — starting with the revenue foundation, then acquisition efficiency, then retention and lifetime economics.

Step 1: Track Revenue and Gross Margin

GMV (Gross Merchandise Value) and revenue are not the same number, and confusing them is one of the most common mistakes in e-commerce analysis.

GMV vs Revenue

GMV is the total value of goods ordered — the full selling price multiplied by units sold, before any deductions. Revenue is what your business actually recognises: GMV minus returns, refunds, and in marketplace contexts, minus the seller's portion of the sale price. For a direct-to-consumer brand, GMV and revenue are close; for a marketplace, GMV can be 10–20x revenue.

Average Order Value (AOV)

AOV = Total Revenue ÷ Number of Orders

Track AOV monthly and by traffic source. A declining AOV usually indicates customers are buying cheaper items (product mix shift), promotions are training customers to buy less per trip, or the discount strategy is eroding basket size. An increasing AOV suggests bundling, upsell mechanics, or natural category migration is working.

Gross Margin

Gross Margin % = (Revenue − COGS) ÷ Revenue × 100

COGS includes product cost, packaging, and inbound freight. It does not include outbound shipping, returns processing, marketing, or technology. Gross margin is the ceiling that all operating expenses must fit beneath. Common benchmarks:

  • Fashion/apparel: 55–70%
  • Beauty/personal care: 50–65%
  • Electronics: 15–30%
  • Consumables/FMCG: 30–45%

Never run a CAC analysis without knowing your gross margin percentage first. A $30 CAC on a product with 25% gross margin and $80 AOV ($20 gross profit per order) is a money-losing situation, regardless of how good the ROAS looks.

Step 2: Calculate Customer Acquisition Cost (CAC)

CAC is the total spend required to acquire one paying customer. It is the most important input for evaluating whether your paid marketing channels are financially viable.

The formula

CAC = Total Acquisition Spend ÷ Number of New Customers Acquired

Define "acquisition spend" carefully: include ad spend, agency fees, content production costs attributable to acquisition campaigns, and any promotions or discounts offered to first-time buyers. Define "new customers" as first-time buyers only — do not dilute CAC by including repeat purchases in the denominator.

Calculate CAC by channel

Overall CAC masks channel-specific economics that are often wildly different:

Channel Typical CAC range Notes
Google Search $20–$60 High intent; strong for transactional categories
Google Shopping $15–$45 Effective for comparison shoppers
Meta (Facebook/Instagram) $25–$80 Strong for visual categories; CPMs rising
TikTok $15–$50 Younger demographics; creative-dependent
Email (to own list) $2–$8 Acquisition from an existing audience asset
Influencer $30–$150 Wide variance; attribution is difficult

If Meta CAC is $55 and Google Search CAC is $22, the decision is to scale Google and audit Meta creative before increasing Meta budget. Use the CAC Calculator to calculate channel-specific CAC from your actual spend and acquisition data.

Blended vs channel CAC

Blended CAC (all spend ÷ all new customers) is useful as a single headline number but misleading for budget allocation. A blended CAC of $30 might include a $15 CAC on email list acquisition and an $80 CAC on TikTok awareness campaigns — very different economics that require very different decisions.

Step 3: Measure Customer Lifetime Value (CLV)

CLV answers the question: how much revenue (and more importantly, profit) will a customer generate over their relationship with your brand? This is the number to compare CAC against.

The formula

CLV = AOV × Purchase Frequency per Year × Customer Lifespan in Years

For profit-based CLV: Profit CLV = CLV × Gross Margin %

Example: AOV = $75, purchase frequency = 3×/year, average customer lifespan = 3.5 years, gross margin = 50%. CLV = $75 × 3 × 3.5 = $787.50 Profit CLV = $787.50 × 50% = $393.75

If CAC is $40, the profit CLV:CAC ratio is approximately 9.8:1 — an excellent position.

The CLV:CAC ratio

Ratio Interpretation
< 1:1 Losing money on every customer; unsustainable
1:1 to 2:1 Marginally profitable; limited growth capacity
3:1 Healthy; sufficient margin to fund growth
> 5:1 Potentially under-investing in acquisition

A ratio above 5:1 is not necessarily a sign of health — it may indicate you are being too conservative with acquisition spend and leaving growth on the table. A 3:1 ratio is the target in most well-run e-commerce businesses.

Use the CLV Calculator to model CLV under different retention assumptions. The single largest lever on CLV is purchase frequency — increasing average purchases from 2× to 3× per year improves CLV by 50% with no change in AOV or lifespan.

Step 4: Analyse ROAS by Channel

ROAS (Return on Ad Spend) measures revenue generated per dollar of advertising cost. It is the metric most commonly reported by ad platforms and the most commonly misunderstood.

The formula

ROAS = Revenue Attributed to Ads ÷ Ad Spend

A ROAS of 4.0 means $4 in revenue for every $1 spent. Ad platforms calculate ROAS automatically, but their attribution windows vary — Google's default is a 30-day click, Meta's default is a 7-day click / 1-day view. This means the same purchase may be attributed to multiple channels, inflating reported ROAS across platforms simultaneously.

Breakeven ROAS

Breakeven ROAS = 1 ÷ Gross Margin %

At 40% gross margin: breakeven ROAS = 1 ÷ 0.40 = 2.5. Below a ROAS of 2.5, you are spending more than you earn in gross profit.

At 25% gross margin: breakeven ROAS = 4.0. This is why electronics brands need very different ROAS targets than beauty brands.

Target ROAS by category

Category Gross margin Breakeven ROAS Target ROAS
Fashion/apparel 55% 1.8 3.5–5.0
Beauty 60% 1.7 4.0–6.0
Electronics 20% 5.0 7.0–10.0
Consumables 40% 2.5 4.0–5.5

Target ROAS should exceed breakeven ROAS by enough to cover shipping, fulfilment, technology, and overhead costs — which typically consume an additional 15–30% of revenue. Use the ROAS Calculator to determine your specific breakeven ROAS and set channel-level targets accordingly.

The ROAS vs profitability tension

A high ROAS on a small budget is not the same as a profitable marketing programme. You can achieve a 10:1 ROAS on a $1,000 spend while spending $200,000 unprofitably on the same channel. Scale matters. The correct optimisation is to increase spend on a channel until marginal ROAS drops to the breakeven threshold — not to maintain a high average ROAS by keeping budgets small.

Step 5: Monitor Conversion Rate and Cart Abandonment

Conversion rate and cart abandonment rate are the metrics that most directly reflect the quality of the shopping experience — from traffic arrival to completed purchase.

Conversion rate

Conversion Rate = Orders ÷ Sessions × 100

The global e-commerce average is 1–3%, but this varies dramatically by channel:

  • Direct / return visitors: 4–6%
  • Email campaign traffic: 3–5%
  • Google Search (high intent): 2–4%
  • Google Shopping: 1.5–3%
  • Meta paid social: 0.5–1.5%
  • Organic social: 0.2–0.8%
  • Display/awareness: 0.1–0.3%

A conversion rate below 1% on paid search — which captures buyers actively looking for your product category — indicates a product-page, pricing, or trust problem, not a targeting problem. Increasing spend against a broken conversion funnel amplifies losses, not revenue.

Cart abandonment rate

Cart Abandonment Rate = (1 − Orders ÷ Cart Initiations) × 100

The global benchmark is 68–72%. This means 7 in 10 shoppers who added to cart did not buy. The drivers are:

  • Unexpected shipping cost (seen only at checkout): ~48% of abandonment
  • Forced account creation: ~24%
  • Complicated checkout process: ~18%
  • Payment security concerns: ~17%
  • Delivery timeline too slow: ~16%

Tactical interventions with high ROI:

  1. Show shipping cost — or a "free shipping above $X" callout — on the product page, not just at checkout. This eliminates the biggest surprise.
  2. Guest checkout: a forced registration step costs more in abandonment than it saves in email capture.
  3. Cart abandonment email sequences: a three-email sequence (1 hour, 24 hours, 72 hours after abandonment) can recover 5–10% of abandoned carts. At 70% abandonment rate on 10,000 monthly cart initiations, recovering 7% of abandoned carts at average $75 AOV = $36,750 in additional monthly revenue.

Use the Conversion Rate Calculator to track conversion across campaigns, devices, and product categories, and to identify where in the funnel the largest drop-offs occur.

Step 6: Track Churn and Repeat Purchase Rate

For subscription businesses and high-frequency purchase categories, churn and repeat purchase rate are the metrics that determine long-term viability. An e-commerce business with excellent acquisition metrics but poor retention is a bucket with a hole in it.

Churn rate

Monthly Churn Rate = Customers Lost in Month ÷ Customers at Start of Month × 100

For subscription e-commerce (boxes, meal kits, replenishment subscriptions), monthly churn is the primary retention metric. The compounding effect is severe:

Monthly churn Customers retained after 12 months
1% 89%
2% 79%
3% 70%
5% 54%
8% 37%

At 5% monthly churn, you lose 46% of your subscriber base every year. With a CAC of $45 per subscriber, replacing that lost base costs 46% × total subscribers × $45 every year — a substantial headwind to growth. Use the Churn Rate Calculator to model the annual subscriber count under different churn scenarios and calculate the acquisition budget required to achieve net growth targets.

Repeat purchase rate

Repeat Purchase Rate = Customers With ≥ 2 Purchases ÷ Total Customers × 100

This metric applies to all e-commerce, not just subscriptions. A repeat purchase rate of 25–35% within the first 12 months is typical for fashion and home goods; 40–60% for consumables, beauty, and pet products.

Increasing repeat purchase rate is typically achieved through:

  • Post-purchase email sequences that build product familiarity and prompt a second purchase
  • Replenishment reminders timed to when the product should be running out
  • A loyalty programme that creates an accumulation incentive
  • Product discovery campaigns to existing customers showing related products they have not yet bought

The difference in business economics between a 25% and a 40% repeat rate is significant. At 25% repeat, most revenue requires continuous acquisition spend. At 40%, a growing share of revenue is generated from existing customers at near-zero marginal cost.

Key Terms

  • CAC — Customer Acquisition Cost; total spend to acquire one paying customer, calculated by channel for actionable insight
  • CLV — Customer Lifetime Value; total revenue (or profit) generated by one customer over their entire relationship with the brand
  • ROAS — Return on Ad Spend; revenue attributed to advertising divided by advertising cost; breakeven ROAS = 1 ÷ gross margin
  • Conversion Rate — percentage of website sessions that result in a completed order; varies by traffic source from 0.2% (display) to 5%+ (email to engaged list)
  • Cart Abandonment Rate — percentage of shoppers who initiate a cart but do not complete purchase; global average 68–72%
  • Churn Rate — rate at which customers stop purchasing; for subscriptions, typically measured monthly; a 5% monthly churn equals 46% annual customer loss
  • GMV — Gross Merchandise Value; total value of goods ordered before deductions for returns, refunds, and commissions
  • AOV — Average Order Value; total revenue divided by number of orders; a primary lever for improving unit economics without increasing acquisition spend

Frequently Asked Questions

A good CAC depends entirely on the product category and average order value. A general rule is that CAC should not exceed one-third of the customer's first-order value, or more usefully, CAC should be substantially lower than the Customer Lifetime Value — a CAC:CLV ratio of 1:3 or better is the standard benchmark. In practice, fashion and apparel businesses target CAC of $15–$40 in mature markets; electronics categories often see $25–$60; subscription boxes and consumables are willing to accept higher CAC because repeat purchases improve lifetime economics. Use the [CAC Calculator](/cac-calculator/) to calculate your channel-specific CAC and compare it to the benchmark for your category.
The standard formula for Customer Lifetime Value (CLV) is: CLV = Average Order Value × Purchase Frequency per Year × Customer Lifespan in Years. For example, if your average order is $80, customers buy 3 times per year, and the average customer stays 4 years, CLV = $80 × 3 × 4 = $960. A more sophisticated calculation incorporates gross margin — multiply the revenue CLV by your gross margin percentage to get profit-based CLV, which is the number to compare against CAC. Use the [CLV Calculator](/clv-calculator/) to model CLV under different frequency and retention assumptions.
A ROAS of 4:1 (₹4 or $4 in revenue for every ₹1 or $1 of ad spend) is the commonly cited minimum floor for profitability in most e-commerce categories, assuming a gross margin of around 40–50%. At lower margins (20–30%), you need ROAS of 6:1 or higher to be profitable after factoring in shipping, returns, and overheads. Categories with high repeat purchase rates — consumables, pet food, cosmetics — can operate profitably at ROAS of 3:1 because CLV makes the initial low-ROAS acquisition worthwhile. Use the [ROAS Calculator](/roas-calculator/) to find your breakeven ROAS based on your actual gross margin.
E-commerce conversion rates average 1–3% globally across all categories, but vary significantly by channel, device, and category. Fashion and apparel typically convert at 1–2%; electronics at 0.5–1% (long consideration cycles); consumables and groceries at 3–5%; beauty and personal care at 2–4%. Mobile conversion rates run approximately 40% lower than desktop due to checkout friction and screen size limitations. A conversion rate below 1% on paid traffic usually indicates a landing page or offer problem, not a traffic quality problem. Use the [Conversion Rate Calculator](/conversion-rate-calculator/) to track conversion across specific campaigns and product categories separately.
Cart abandonment rate is the percentage of shoppers who add items to a cart but leave without completing purchase. The global average is approximately 70–75%, meaning roughly 3 in 4 shoppers who express enough interest to add to cart do not complete the transaction. The top causes are unexpected shipping costs at checkout (the leading reason, cited by ~48% of abandoners), forced account creation, complex checkout forms, security concerns, and "just browsing" behaviour. Reducing cart abandonment by even 5 percentage points — from 72% to 67% — meaningfully improves revenue without requiring more ad spend or traffic.
The relationship between monthly churn and annual retention is exponential, not linear. A 5% monthly churn rate — which sounds manageable — means only 54% of customers are retained at the end of 12 months: (1 - 0.05)^12 = 0.54. A 2% monthly churn rate retains 79% annually; a 1% monthly churn retains 89% annually. For subscription e-commerce businesses, the difference between 2% and 5% monthly churn is not a 3% difference in annual economics — it is the difference between a healthy growing business and one that struggles to keep pace with acquisition costs. Use the [Churn Rate Calculator](/churn-rate-calculator/) to model the annual impact of your current monthly churn rate.
GMV (Gross Merchandise Value) is the total value of goods sold through the platform before any deductions — it includes the full selling price without subtracting returns, seller fees, discounts, or commissions. Revenue is what the business actually recognises after returns, refunds, and marketplace fees are deducted. For a marketplace or platform business, GMV is typically 5–20x revenue because the platform only keeps a commission. For a direct-to-consumer brand, GMV and gross revenue are close but not identical because returns reduce recognised revenue. Investors and media often cite GMV because it is a larger, more impressive number — always check which metric is being reported.
Gross margin for e-commerce = (Revenue − Cost of Goods Sold) ÷ Revenue × 100. COGS includes the product cost, packaging, and inbound shipping to the warehouse. It does not include outbound shipping, returns processing, marketing, or platform fees — those are operating expenses. A healthy gross margin for physical product e-commerce is 40–60%; fashion and beauty brands often achieve 60–70%; electronics and commodities may operate at 15–30%. Gross margin is the ceiling above which all other costs — marketing, fulfilment, technology, team — must fit for the business to be profitable. Never run CAC projections without first knowing your gross margin percentage.
Repeat purchase rate is the percentage of customers in a given period who have made more than one purchase. A 30–40% repeat purchase rate within 12 months is considered healthy for most categories; consumables and subscription-adjacent products should achieve 50–60%+. Repeat purchase rate matters more than conversion rate because repeat customers have zero acquisition cost — they are pure margin. A business with a 2% conversion rate and 40% repeat rate will significantly outperform one with a 4% conversion rate and 15% repeat rate over a 3-year horizon, assuming similar margins. Increasing repeat rate by 10 points is typically equivalent to reducing CAC by 20–30%.
Email ROI is calculated as: (Revenue attributed to email − Cost of email marketing) ÷ Cost of email marketing × 100. Email marketing consistently generates the highest ROI of any digital channel — industry averages range from $36–$42 per dollar spent. Attribution is the complication: most email platforms attribute revenue to email if any email was opened or clicked within 24–72 hours before a purchase, which overstates email's direct impact since some of those customers would have purchased anyway. Use a holdout group — 10% of your email list that receives no promotional email — to measure the true incremental lift from email. Use the [Email ROI Calculator](/email-roi-calculator/) to calculate net email revenue and ROI per campaign.
Average Order Value = Total Revenue ÷ Number of Orders. There is no universal benchmark — AOV is highly category-dependent, ranging from $20–$30 for impulse purchases to $150–$500 for fashion and home goods. The most effective tactics to improve AOV are: product bundling (offering related items together at a slight discount), free shipping thresholds set above the current AOV (if average order is $45, a "free shipping above $55" offer pushes customers to add items), upsell at checkout, and post-purchase upsell offers in confirmation emails. A 20% AOV increase compounds significantly: at 10,000 orders per month and a current AOV of $50, adding $10 to AOV is $100,000 in additional monthly revenue with no increase in acquisition costs.

Related Articles

GUIDE

Startup Metrics Guide — CAC, CLV, Churn & More

GUIDE

SaaS Metrics Guide — The Numbers That Matter

BEST OF

Best Startup Metric Calculators 2026 — Free Tools for Founders

GUIDE

Startup Fundraising Metrics Guide

GUIDE

Email Marketing Guide — Metrics That Matter