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Most store owners track the wrong stuff. They check daily revenue, feel good or bad about it, and call that "looking at the numbers." That's not measurement. That's anxiety with a spreadsheet.
Real eCommerce measurement answers a different question: at this stage of my business, which numbers tell me what's working and what to fix this week?
This guide gives you the answer. Ten core metrics every store should know, the formulas to calculate them, what good looks like, how often to check each one, and what to do when one moves the wrong way. No 38-item list. No corporate fluff. Just the numbers that decide whether your store grows or stalls.
Quick answer: The 10 eCommerce metrics every store should track
Metric |
Formula |
What it tells you |
Review cadence |
|---|---|---|---|
| Sales conversion rate | (Orders ÷ sessions) × 100 | Whether visitors are actually buying | Weekly |
| Average order value | Revenue ÷ orders | How much each customer spends per order | Weekly |
| Customer acquisition cost | Marketing spend ÷ new customers | What it costs to buy a customer | Weekly |
| Customer lifetime value | AOV × purchase frequency × customer lifespan | What a customer is worth over time | Monthly |
| Cart abandonment rate | 1 − (orders ÷ carts started) × 100 | Where checkout friction starts | Weekly |
| Repeat purchase rate | Repeat customers ÷ total customers × 100 | Whether customers come back | Monthly |
| Revenue by traffic source | Revenue segmented by channel | Which channels actually produce sales | Weekly |
| Gross margin | (Revenue − COGS) ÷ revenue × 100 | Whether your sales are profitable | Weekly |
| Return rate | Returned orders ÷ total orders × 100 | Product, supplier, or expectation issues | Monthly |
| Product conversion rate | Product purchases ÷ product page visits × 100 | Which products actually convert | Monthly |
If you want to read just one section, make it gross margin. Most store owners overlook it, and it's the metric that explains why a "successful" store quietly runs out of cash.
What eCommerce metrics actually are
An eCommerce metric is a number that measures one part of how your store is doing. Conversion rate is a metric. Total revenue is a metric. The hours your customer service team spent answering emails is a metric.
Useful metrics share three traits. They're consistent (you measure them the same way every time). They're actionable (knowing the number tells you something you can change). And they connect to a business outcome (revenue, profit, repeat purchases, growth).
The numbers on your Shopify dashboard are metrics. Most of them. Some are vanity metrics, which look impressive on a slide but don't tell you anything you can act on. Pageviews without context. Social followers without conversion data. Don't confuse those for the real stuff.
Metrics vs KPIs: the distinction that actually matters
People use these two terms interchangeably. They shouldn't.
A metric is a measurement. Your store had a 2.4% conversion rate last week.
A KPI is a metric that's tied to a goal. Your KPI for Q2 is to push conversion rate from 2.4% to 3.0%. Same number, different role. The KPI is the one you're trying to move. Everything else is context.
Why does this matter? Because most stores try to track everything. The point of choosing KPIs is to commit to a small number of metrics that genuinely matter this quarter, and let the rest sit in your dashboard as monitoring data. Three KPIs at a time is plenty. Five is the max. Anything more and you're not focused, you're just busy.
The 10 eCommerce metrics most stores should track first
These ten cover acquisition, conversion, revenue, profitability, and retention. Master these before adding anything fancier.
1. Sales conversion rate
What it is: the percentage of visitors who actually buy something.
Formula: (Orders ÷ sessions) × 100.
Example: 4,000 sessions and 80 orders last month = 2.0% conversion rate.
What good looks like (in 2026): the median eCommerce conversion rate sits between roughly 1% and 3% across most categories. Apparel and beauty often run above 3%. Furniture, jewelry, and high-ticket items often sit below 1.5% with longer consideration cycles. Use industry benchmarks as directional, not gospel.
Diagnostic checklist when conversion is low: check product page load speed (anything over 3 seconds bleeds conversions), check trust signals (reviews, returns policy, secure-checkout badges), check whether shipping cost is hidden until checkout, check whether your top traffic source is bringing the wrong audience.
A 1-point lift on conversion rate is the single most powerful change you can make. 1,000 sessions × 2% × $60 AOV = $1,200. Push to 3% and you get $1,800. Same traffic. Same product. 50% more revenue. That's why this metric leads the list.
When you're ready to dig into checkout and product page tweaks, see our guide on high-converting eCommerce landing pages.
2. Average order value (AOV)
What it is: how much the average customer spends in a single order.
Formula: revenue ÷ number of orders.
Example: $12,000 revenue across 200 orders = $60 AOV.
Why it matters: AOV controls how much CAC you can afford. If your AOV is $30 and your gross margin is 40%, you make $12 profit per order. Spending $20 to acquire that customer means you lose money on the first sale and have to rely on repeat purchases to break even. Tight.
How to lift it: bundles, free-shipping thresholds, and post-purchase upsells. Maggie Outridge of St Argo, a Melbourne dog accessories brand that grew from a $12,000 stake to $600,000 in 18 months, started with a single $200 carrier as her hero product and used the leftover fabric from manufacturing to create matching $42 collars and leads. The collars became the upsell that drove AOV. (Read Maggie's full story.)
The honest version of upselling: it works when the additional product genuinely belongs with the first one. It backfires when it feels like a shakedown at checkout. Test, don't assume.
3. Customer acquisition cost (CAC)
What it is: what you pay, on average, to get one new customer.
Formula: total sales and marketing spend ÷ new customers acquired.
Example: $3,000 in Meta ads and $500 in influencer gifting last month produced 70 new customers. CAC = $3,500 ÷ 70 = $50.
The rule that matters: CAC isn't good or bad in isolation. It only makes sense compared to AOV, gross margin, and CLV. A $50 CAC is excellent if your customers generate $300 of margin over their lifetime. It's catastrophic if they only buy once and contribute $20 of margin.
When CAC creeps up: it's almost always because you've exhausted the easy audience and you're paying more to reach less qualified buyers. The fix is rarely "find a cheaper ad platform." It's usually one of three things: a higher AOV, a tighter retention engine, or a better-converting site. Sometimes all three.
For tactical depth on acquisition, see customer acquisition strategies.
4. Customer lifetime value (CLV)
What it is: the total profit you expect to make from one customer across their entire relationship with your store.
Simple formula: AOV × purchase frequency × average customer lifespan (in years).
Margin-adjusted formula (more useful): (AOV × gross margin %) × purchase frequency × average customer lifespan.
Example: $60 AOV × 40% gross margin = $24 contribution per order. Average customer buys 3 times per year for 2 years = 6 orders. CLV = $24 × 6 = $144.
CLV is the metric most operators say they care about and most don't actually calculate. The reason: lifespan is hard to estimate when you're under two years old. Use the simple version until you've got 18+ months of cohort data, then upgrade to margin-adjusted CLV.
Why this metric is the one that quietly kills businesses. If your CAC is $80 and your CLV is $144, you're growing. If it's $80 and your CLV is $70, you're losing money on every new customer and the only way to keep going is to keep raising cash. Many stores look profitable on the surface and are actually paying to lose customers.
For more on lifting CLV through better retention, see eCommerce lifetime value.
5. Cart abandonment rate
What it is: the percentage of shoppers who add items to a cart and don't buy.
Formula: 1 − (completed purchases ÷ carts started) × 100.
Example: 1,000 carts started, 280 orders. Abandonment rate = 1 − (280 ÷ 1,000) = 72%.
What good looks like: Baymard Institute's long-running research pegs the global average at roughly 70%. So "high" cart abandonment is only meaningful relative to what's normal. Top performers get to around 30 to 40%.
The three usual culprits, ranked by impact:
- Unexpected shipping costs revealed at checkout. By far the biggest. Either be upfront about shipping above the fold or build it into product prices and offer free shipping.
- Forced account creation. Guest checkout converts better. Always.
- Limited payment options. If your audience expects Apple Pay or PayPal and you don't offer it, you lose them at the last step.
6. Repeat purchase rate
What it is: the percentage of your customers who buy from you more than once.
Formula: customers with 2+ orders ÷ total customers × 100.
Example: 1,200 customers in the last 12 months, 360 of whom have ordered twice or more. Repeat rate = 30%.
Why it matters: repeat customers cost dramatically less than new ones (the first purchase pays the CAC; every additional one is mostly profit). For consumable categories (skincare, supplements, pet treats, coffee), a repeat rate under 20% is a red flag that the product, follow-up email, or replenishment timing isn't working. For one-time-purchase categories (furniture, mattresses), a low repeat rate is normal and the metric to watch is referral rate instead.
For practical retention tactics, see customer retention strategies and customer loyalty programs.
7. Revenue by traffic source
What it is: how much money each channel actually produces, not just how much traffic it sends.
This is where most operators get it wrong. They look at traffic volume by source and assume the biggest one is the most valuable. That's not how it works.
A channel can send a lot of traffic and almost no revenue. Or it can send little traffic and most of the revenue. The metrics that matter, per source, are:
- Revenue
- Conversion rate
- CAC
- AOV
- Gross margin
A real example: Maggie Outridge's St Argo built early traction through organic Instagram and dog-owner Facebook groups, then scaled with Meta ads. When Apple's iOS privacy changes broke Facebook attribution, her ROAS on Meta got harder to trust, and she shifted spend toward Google ads and email. Email became the single highest-ROI channel in her business. That insight only surfaced because she segmented revenue by source.
See top website traffic sources and how to get traffic to your eCommerce store for channel breakdowns.
8. Gross margin
What it is: what's left of each dollar of revenue after you pay for the product itself.
Formula: (revenue − COGS) ÷ revenue × 100.
COGS (cost of goods sold) means what you paid the supplier or manufacturer for the unit, plus inbound shipping, plus duties and customs, plus per-order fulfillment. It does not include marketing, software, or labor. Those come out of gross margin to give you operating profit.
Example: you sell a $50 collar. The supplier charges $7 per unit, inbound shipping and duty add another $2, and per-order packaging is $1. COGS = $10. Gross margin = ($50 − $10) ÷ $50 = 80%.
What good looks like:
- Dropshipping: typically 15 to 30% gross margin
- Private label / direct manufacture: 50 to 80% gross margin
- Wholesale resellers: 30 to 50% gross margin
If your gross margin is below 30% and you're paying for ads, the math is brutal. You don't have enough room to absorb CAC, returns, and discounting. Either raise prices, switch to a higher-margin supplier, or move further up the value chain.
This is the section where your supplier choice genuinely matters. A bad supplier doesn't just risk product quality. It strangles your margin from day one. Browse SaleHoo's vetted supplier directory to compare verified options against whatever you found on Alibaba.
For more on margin math, see dropshipping profits and margins and low-cost products with high profit margins.
9. Return rate
What it is: the percentage of orders customers return for refund or exchange.
Formula: returned orders ÷ total orders × 100.
Example: 500 orders last month, 32 returns. Return rate = 6.4%.
What good looks like: highly category-dependent. Apparel returns commonly run 20 to 30%. Electronics 8 to 12%. Home goods 5 to 10%. Beauty under 5%. Treat category benchmarks as a sanity check, not a target.
What returns are actually telling you:
- Sizing or fit problems → product description or sizing chart needs work
- Damage in transit → packaging or carrier issue
- "Not as described" → product photography is misleading or descriptions are vague
- Quality issues → supplier is the problem
That last one is the diagnostic operators miss most. A supplier that ships inconsistent product creates a return-rate problem that no amount of marketing can fix. If your return rate is climbing and quality complaints are the reason, the answer is upstream, not on the product page.
For tactical return reduction, see how to reduce eCommerce returns.
10. Product conversion rate
What it is: the percentage of people who visit a product page and actually buy that product.
Formula: purchases of that product ÷ unique visits to that product page × 100.
Why it matters more than top-line conversion rate: your store's overall conversion rate is an average across all your products. It hides which products are pulling their weight and which are tanking it. A 2% overall conversion can mean five products converting at 4% and ten products converting at 0.5%. Cutting the worst-performing products often raises your average and frees up the budget you'd otherwise spend marketing duds.
Quick diagnostic when product conversion is low:
- Are the product images good? Cell-phone shots on a kitchen counter don't sell at a $60 price point.
- Are the reviews showing? Pages with no reviews convert dramatically worse than pages with even three or four.
- Is the price right for your market? Pricing 20% above the closest competitor with no clear differentiation is a slow leak.
How to choose the right metrics for your business goal
Different stages need different metrics. Use this as your priority filter.
Your goal |
Track these first |
|---|---|
| Get your first 100 orders | Traffic, conversion rate, AOV, cart abandonment |
| Scale paid ads profitably | CAC, ROAS, conversion rate, CLV, payback period |
| Improve profitability | Gross margin, return rate, discount rate, shipping cost per order |
| Increase repeat purchases | Repeat purchase rate, churn, CLV, email revenue |
| Fix a broken checkout | Cart abandonment, checkout abandonment, payment failure rate |
| Decide which products to keep | Product conversion rate, return rate by product, inventory turnover |
If you try to track everything at once, you'll act on nothing. Pick the three to five metrics that map to where you actually need to move.
Acquisition metrics: where your customers come from
Website traffic
Sessions and users are different. A session is a visit. A user is a person. One user can have multiple sessions in a week. Track both, but make decisions on sessions for marketing and users for audience size.
What also matters: traffic by device, traffic by location, and new vs returning visitors. A store with 70% returning visitors has a different problem than a store with 70% new visitors. The first one isn't acquiring enough. The second one isn't retaining enough.
Traffic by source
Organic, paid (broken out by Meta, Google, TikTok), email, social referral, direct, affiliate. Track them separately because each tells a different story.
Return on ad spend (ROAS)
Formula: revenue from ads ÷ ad spend.
A 3:1 ROAS means $3 of revenue per $1 spent. Sounds great. It often isn't. Because ROAS is revenue, not profit. If your gross margin is 30%, that $3 of revenue is $0.90 of margin. Subtract the $1 you spent on the ad, and you've lost $0.10 per click. ROAS only makes sense alongside margin. Don't celebrate a number that's losing you money.
Conversion and checkout metrics
Add-to-cart rate
Formula: sessions with an add-to-cart event ÷ total sessions × 100.
A healthy ratio for most categories sits around 5 to 10%. Below 3% means people are bouncing before they engage. Above 10% with low conversion means people are intending to buy and then changing their minds at the checkout step. Two different problems with two different fixes.
Cart abandonment vs checkout abandonment
These get conflated. They shouldn't.
Cart abandonment = added to cart, didn't reach checkout. Checkout abandonment = reached checkout, didn't complete purchase.
The fix for each is different. Cart abandonment is usually a friction or shipping-cost issue at the cart stage. Checkout abandonment is usually a payment, account-creation, or trust issue at the final step. If your cart abandonment is high and checkout abandonment is low, the problem is upstream of checkout. If the opposite, your checkout is the bottleneck.
Email opt-in rate
Formula: new email subscribers ÷ unique visitors × 100.
A boring metric that secretly runs your business. Email is the highest-ROI channel for most established stores once the list is built. If your opt-in rate is under 1%, your pop-up timing or offer needs work. 3 to 5% is solid. Anything above 7% is exceptional.
For tactics, see email marketing for sales.
Revenue and profitability metrics: where the money actually lives
Revenue per visitor (RPV)
Formula: total revenue ÷ total sessions.
Why it's underused: it combines conversion rate and AOV into one number, which lets you compare traffic sources, ad campaigns, or website variants on a single metric. A landing page test that lifts AOV but drops conversion (or vice versa) might still be net-neutral. RPV tells you the truth.
Contribution margin
Formula: (revenue − COGS − variable selling costs) ÷ revenue × 100.
Where gross margin strips out the cost of the product, contribution margin also strips out the variable costs of selling that order: payment processing fees (typically 2.5 to 3%), shipping if you offer free shipping, transaction-level marketing if it's traceable to that order.
This is the metric paid-acquisition operators actually care about. It tells you how much you can afford to pay for a customer and still make money on the first order.
Return and refund rate (revisited)
Worth tracking the dollar version too:
Formula: dollar value of returns ÷ dollar value of sales × 100.
A 6% unit-based return rate that's concentrated in your highest-AOV product is a different problem than a 6% return rate spread across cheap SKUs. The dollar version surfaces that.
Retention metrics: the half of eCommerce most people ignore
Customer retention rate
Formula: ((customers at end of period − new customers in that period) ÷ customers at start of period) × 100.
Measure over the right window for your category. For high-frequency products (coffee, supplements, treats), 30 days is reasonable. For lower-frequency products (apparel, home goods), 90 or 180 days.
CLV:CAC ratio
The ratio that determines whether your business is fundable, sustainable, or quietly bleeding cash.
- CLV:CAC of 1:1 or less → you're losing money on customers. Stop scaling spend until you fix it.
- CLV:CAC of 2:1 → marginally profitable. Most stores live here longer than they should.
- CLV:CAC of 3:1 or higher → healthy. Most well-run brands target this.
- CLV:CAC of 5:1 or higher → you might be under-investing in growth. Counterintuitive but true.
Churn rate
Relevant if you have a subscription or a replenishment model. If you sell one-time products, focus on repeat purchase rate instead.
Formula: customers lost in a period ÷ total customers at start of period × 100.
Product and inventory metrics
Top products by units and revenue
These two metrics often disagree. Your best-selling product by units might be a $15 accessory. Your best by revenue might be a $200 hero product. Both matter. The first one drives traffic and reviews. The second one funds the business. Track them separately and don't confuse the two.
Inventory turnover
Formula: COGS over a period ÷ average inventory value during that period.
A turnover of 4 means you sold through your average inventory four times in that period. Higher is generally better; it means less capital trapped in stock. Too high and you risk stockouts during peak demand. Most healthy retail stores aim for 4 to 6 annual turns.
Return rate by product
Aggregating return rate across your whole catalog hides the truth. Break it out by SKU. Often you'll find that 20% of your products are responsible for 80% of your returns, and pulling those products immediately improves your unit economics.
How often you should check each metric
Track frequency depends on how quickly the metric changes and how much noise short-term swings introduce.
Daily
- Revenue
- Orders
- Ad spend
- Site uptime / page speed
- Conversion rate (only if you have high-enough daily traffic to be statistically meaningful; under ~1,000 sessions per day, weekly is better)
Weekly
- Traffic by source
- CAC
- ROAS
- AOV
- Cart abandonment rate
- Gross margin
Monthly
- CLV
- Repeat purchase rate
- Customer retention rate
- Return rate
- Email opt-in rate
Quarterly
- Cohort retention
- Category-level performance
- Channel-level profitability
- Inventory turnover
The biggest mistake operators make: checking monthly metrics weekly. CLV doesn't change meaningfully week to week. Watching it that often just makes you anxious. Trust the cadence.
How to build a simple eCommerce metrics dashboard
Most "dashboards" are graveyards. 40 charts nobody looks at. The point of a dashboard isn't to display data. It's to drive action.
1. Pick one source of truth.
Shopify, WooCommerce, BigCommerce, or whatever your platform is. GA4 for traffic context. Optionally a connector tool (Supermetrics, Looker Studio, or even a Google Sheet pulling via Shopify API) to combine sources. Don't run separate dashboards in five tools. Pick one.
2. Start with the 10 core metrics. Resist the urge to add more.
If a metric isn't going to change a decision this quarter, it doesn't belong on the dashboard. It belongs in a deeper monthly review.
3. Give every metric an owner.
If nobody owns the metric, nobody acts on it. Founder owns CLV and gross margin. Marketing lead owns CAC and conversion rate. Operations owns return rate and inventory turnover. Even a solo founder should write down the role hat they're wearing when they review each one.
4. Set an action threshold for each metric.
What number triggers a response? Example: "if cart abandonment goes above 75% for two weeks in a row, audit the checkout funnel." The threshold matters more than the chart. Without one, you'll stare at numbers without doing anything.
5. Run a 30-minute weekly review.
Same time each week. Walk through the dashboard. For each metric: is it green, yellow, or red? Yellow and red metrics get an action item. Green metrics get ignored. That's the whole point.
The five eCommerce metrics mistakes I see most often
1. Treating revenue as profit.
Revenue is the top number. Profit is what's left after COGS, marketing, shipping, returns, software, and your own time. Many stores celebrate $500K revenue years that ended in -$30K profit. Track gross margin and contribution margin from week one.
2. Tracking too many metrics.
If your dashboard has more than 12 things on it, you're not running a business; you're running a science experiment. Pick the ones that move the needle for your current stage. Park the rest.
3. Watching CAC without CLV.
A "low" CAC isn't good. A CAC that's sustainable relative to your CLV is good. The number alone tells you almost nothing.
4. Ignoring returns.
Returns are a profit metric pretending to be a customer-service metric. A 15% return rate on a 30%-margin product means you're losing money on every fifth sale. Operators who don't track returns end up confused about why their cash position keeps shrinking.
5. Comparing benchmarks across categories.
A 2% conversion rate is great for furniture. It's mediocre for impulse-buy apparel. Don't anchor on a single industry average without checking it against your category, price point, and traffic mix.
eCommerce metrics FAQs
For most stores: conversion rate, average order value, customer acquisition cost, customer lifetime value, cart abandonment rate, repeat purchase rate, revenue by traffic source, gross margin, return rate, and product conversion rate. If you can only pick three to start, pick conversion rate, AOV, and gross margin. Those three tell you whether visitors are buying, how much they're spending, and whether you're making any money on the sale.
A metric is a measurement. A KPI is a metric you've committed to moving toward a goal. Conversion rate is a metric. "Hit a 3.0% conversion rate by end of Q3" is a KPI. Same number, different role.
Revenue, orders, and ad spend daily. Conversion rate, CAC, AOV, and cart abandonment weekly. CLV, retention, and returns monthly. Cohort and channel profitability quarterly. Checking monthly metrics weekly creates noise. Checking weekly metrics monthly misses problems.
The cross-industry median sits around 2 to 3%, though this varies dramatically by category. Apparel and beauty often run above 3%. High-ticket categories like furniture and jewelry typically sit below 1.5%. Benchmark against your own category, price point, and traffic mix, not a blanket average.
3:1 is the standard benchmark. Below 2:1 means you're not making enough per customer to justify what you spend acquiring them. Above 5:1 might mean you're under-investing in growth.
Gross margin and supplier reliability metrics matter most, because dropshipping typically has thinner margins than private label or wholesale. Specifically: gross margin per SKU, supplier lead time consistency, refund rate by supplier, and CAC. If you're paying for ads on 20%-margin products, you'll lose money fast.
Gross margin and contribution margin on that specific SKU. Plus return rate by product (returns eat margin), inventory turnover (slow movers tie up capital), and product conversion rate (low-conversion products waste ad spend). A product can have high revenue and still be unprofitable once you account for returns and ad costs.
Cart abandonment is when someone adds to cart and never reaches checkout. Checkout abandonment is when someone reaches checkout and doesn't complete the purchase. Cart abandonment is usually a friction or shipping-cost issue at the cart stage. Checkout abandonment is usually a payment, account, or trust issue at the final step. Track both. The fixes are different.
This week's moves
Don't close this tab and do nothing. Pick a few of these and act on them this week.
- Pull your conversion rate, AOV, and gross margin from the last 30 days. Write them down. These three numbers together tell you the financial reality of your store.
- Calculate your CLV:CAC ratio. Use the simple version. If it's under 2:1, your top priority is either lifting CLV (retention, AOV, repeat purchase rate) or lowering CAC (better targeting, better-converting site, lower-paid-acquisition mix).
- Build a one-page dashboard. Ten metrics, owners, action thresholds. Shopify analytics or a Google Sheet is fine to start. You can fancy it up later.
- Pick one metric to move. Just one. Tag your highest-impact priority for the next 30 days. Conversion rate, AOV, return rate, CAC. Pick one and commit.
- Audit your suppliers if your gross margin or return rate is the bottleneck. A supplier who ships slow, inconsistent product is sabotaging both. Browse SaleHoo's vetted supplier directory to compare alternatives without rolling the dice on Alibaba.
