10 Ecommerce Metrics Every Operator Should Track

1) Contribution margin per order (not just gross margin)

Gross margin tells you about the product, but contribution margin shows the real picture for operators. If your 'profitable' campaigns ignore shipping, pick and pack, payment fees, and promos, you’re not seeing the full story.

This becomes essential when you offer free shipping, large bundles, or run aggressive paid social campaigns. BigCommerce gives you tools to help, but you still need to connect your operations costs and promo losses.

• Track contribution margin by channel and category, not just as a total.
• Set a minimum contribution margin per order for each acquisition channel.
• Treat shipping subsidies and discount codes as spend, not as “just marketing.”
• Stop campaigns that meet ROAS goals but miss contribution margin targets.

2) Blended CAC (with new vs returning split)

Platform CAC looks simple, but it doesn’t work once you use multiple channels, influencers, affiliates, or email/SMS. Blended CAC makes you ask if you’re actually getting new customers or just shifting credit around.

Break out CAC for new and returning customers. The idea that returning CAC is almost zero isn’t true when you spend on promos, free shipping, and tools like Klaviyo to keep customers coming back.

• Each week, calculate blended CAC by dividing your total marketing spend by the number of new customers you gained.
• Run a separate “reactivation CAC” for returning customers when promos are heavy.
• If your blended CAC goes up, look at changes in your channel mix before cutting budgets.
• Set different CAC limits for each category if your margins are different.

3) New customer rate (NCR) and its cost

NCR shows if you’re really growing your customer base or just working harder without real growth. A store might look healthy with steady revenue, but new customer growth could be slowing down.

Track NCR along with the cost to get new customers. If NCR only rises when you offer discounts, you’re just renting customers instead of truly acquiring them.

• Track NCR by channel and landing page type (collection vs PDP vs quiz).
• Review your first-order incentives and limit them if they boost NCR but hurt your margins.
• If NCR falls, look at your product discovery and merchandising before changing your ads.

4) LTV to CAC (with a time box you can act on)

Lifetime value only matters if it matches your cash flow needs. A '12-month LTV' looks good in presentations, but a '60-day LTV' helps you manage cash when CAC goes up.

Break down LTV by cohort and channel. Customers from Meta may act very differently from those from Google Shopping, even if their first order value is the same.

• Use 60/90/180-day LTV:CAC ratios and pick one as your operating standard.
• Re-forecast payback when promo intensity changes.
• If LTV:CAC weakens, inspect repeat rate and AOV before blaming media.
• Don’t average results across regions if shipping and return rates are different.

5) Repeat purchase rate (RPR) by product family

Looking at overall repeat rate can be misleading. Track repeat purchases by product family to see which products build your customer base and which are just one-time buys.

At this point, merchandising is about revenue, not just creativity. If your main product category doesn’t get repeat purchases, focus on a second purchase plan instead of better photos.

Main point: If repeat purchases aren’t increasing in your top product family, pause top-of-funnel tests and improve the path to a second purchase first.

• Create post-purchase flows and onsite placements tied to the next likely purchase.
• Bundle for the second order, not the first, when margins allow.
• Use audience segmentation to treat first-timers differently from loyalists.

6) Return rate and refund leakage (by SKU and by source)

Returns can seriously hurt your margins, even if revenue looks good. Track return rates by SKU, size or color, and by where the customer came from. For example, TikTok traffic with double the usual return rate can quickly change your CAC limits.

Refund leakage includes unrecovered shipping, return labels, reshipments, and credits to keep customers happy. Teams often miss these costs, even when dashboards look fine.

• Blacklist or fix SKUs with chronic return issues before scaling spend.
• Adjust CAC caps for sources with higher return/refund rates.
• Make 'net revenue after refunds' one of your main KPIs, not just something you check later.

7) Product discovery performance: search usage and search exit rate

When revenue drops, teams often blame ads, but sometimes the site just isn’t helping people find products. Onsite search usage is an early sign, and a high search exit rate means your results aren’t working.

If you use BigCommerce and your catalog is growing, search quality directly affects revenue. Tools like Clerk.io, Algolia, or Bloomreach are valuable, but only if you measure results, not just features.

A useful way to look at it: measure how much revenue comes after a search and how much potential demand is lost on the results page. For more tips, check ecommerce site search best practices.

• Track search conversion rate vs non-search conversion rate weekly.
• Identify top “no results” queries and map them to products or synonyms.
• If search exit rate rises, audit ranking rules, filters, and out-of-stock handling.
• During promotions, make sure your paid traffic sees relevant product listings, not unrelated ones.

8) Recommendation revenue share (and attach rate)

Product recommendations can bring in real extra revenue or just shift clicks. Track both the revenue share influenced by recommendations and the attach rate (items per order) for placements like product pages, cart, and after purchase.

If attach rate is flat, don’t argue about algorithms. Fix placement strategy and rules first. Recommendations should support your merchandising strategy and margin goals, not just “personalization.” For a grounded view, reference how product recommendations drive AOV.

• Hold out a control group to estimate incrementality before rolling sitewide.
• Focus on placing recommendations near the point of purchase. Cart and product pages usually work better than the homepage.
• Tune for margin when you’re running discounts storewide.
• Review “out-of-stock recommended” incidents as a weekly hygiene check.

9) Cart-to-checkout and checkout completion rate

You can buy traffic all day and still miss the number if the checkout is leaking. Watch cart-to-checkout and checkout completion separately. They fail for different reasons: unexpected shipping and promo confusion in cart, payment and friction in checkout.

This is also where platform choices matter. Shopify, WooCommerce, Magento, BigCommerce: they all behave differently once you start layering apps, payment methods, and international shipping logic.

• If cart-to-checkout drops, audit shipping thresholds and discount stacking rules.
• If checkout completion drops, check payment failures, load time, and address validation.
• Always keep a 'last 7 days' view alongside your month-over-month numbers to spot problems quickly.

10) Inventory health: weeks of cover on winners

Stockouts don’t just lose sales. They poison paid acquisition and retention because you keep sending people to dead ends. Track weeks of cover on your winners and the share of sessions hitting out-of-stock PDPs.

This is where ops and marketing stop pretending they’re separate teams. If you’re under-covered on hero SKUs, the right move is often to throttle spend and push alternatives with higher availability and similar margin.

If you want one metric that reduces chaos: revenue-weighted in-stock rate. When it slips, your entire funnel gets harder and more expensive.

• Set minimum weeks-of-cover targets for top revenue SKUs and categories.
• Reroute merchandising to in-stock substitutes when cover is tight.
• Exclude out-of-stock items from paid landing pages and recommendation blocks.
• Check your forecast errors every month and connect them to missed revenue, not just operational problems.

TL;DR

• ROAS doesn’t measure margin. Track contribution margin per order and set limits for each channel.
• Using blended CAC with a split for new and returning customers helps you avoid misleading attribution.
• Base your decisions on 60 or 90-day LTV:CAC and payback, not just on 'lifetime' projections.
• Treat product discovery, including onsite search and recommendations, as a revenue system with clear, measurable results.
• Metrics that track where customers drop off during checkout help you find problems faster than just looking at overall conversion rate.
• Tracking weeks of inventory for your best products should be a marketing KPI, not just an operations report.