Growth Metrics Checklist for E-Commerce

Measure CAC separately for Meta ads, Google Shopping, TikTok, affiliates, email capture campaigns, and marketplaces so you can see which channels are actually producing profitable customers. Pull spend data from your ad platforms and match it to first-order customers in Shopify, WooCommerce, or your attribution tool.

Blended CAC reveals the true cost of growth by including all marketing and sales costs, not just media spend. This is especially important for DTC brands investing in creators, UGC production, discounting, and agency fees that do not appear in ad dashboards.

A high-performing acquisition channel should not just send clicks, it should send visitors who buy. Compare conversion rates from email, branded search, non-branded search, social, influencer links, and referral traffic to spot low-intent sources and landing page mismatches.

A campaign can look healthy on ROAS while still underperforming if it drives low-margin products or heavy-discount bundles. Break out ROAS for hero SKUs, bundles, subscription products, and seasonal items to avoid scaling revenue that does not translate into contribution profit.

Popup forms, spin-to-win offers, and quiz funnels should be measured by subscriber acquisition cost and downstream purchase rate, not just opt-in volume. This helps you decide whether discount-led capture is creating valuable future customers or low-intent coupon seekers.

Organic growth is more resilient when it comes from category and problem-aware searches rather than your brand name alone. Use Search Console and analytics to separate branded versus non-branded traffic and confirm SEO content is attracting shoppers in buying mode.

Mobile often drives the majority of traffic in e-commerce, but poor mobile UX can suppress purchases. Compare conversion rates across mobile, desktop, and tablet and investigate page speed, sticky add-to-cart behavior, and wallet payment support when mobile lags.

Add-to-cart rate shows whether visitors are engaging with your offer before checkout friction enters the picture. Watch collection pages, paid landing pages, and hero product pages to identify weak merchandising, poor creative alignment, or pricing resistance.

Do not stop at a single abandonment number. Split the funnel into cart, shipping, payment, and order review steps so you can see whether drop-off is caused by shipping surprise, forced account creation, slow checkout, or payment trust issues.

Shop Pay, Apple Pay, PayPal, Klarna, and card payments can convert very differently depending on your audience and average order value. If one payment option underperforms, review fees, mobile usability, and whether the method matches customer expectations in key markets.

AOV can rise for the wrong reasons if discounting pushes larger carts but compresses margin. Compare full-price AOV, discounted AOV, and bundle AOV so you can evaluate upsells, free shipping thresholds, and cart incentives more accurately.

Review scroll depth, image gallery interaction, variant selection rate, review clicks, and size guide usage on your most important product pages. Low engagement often points to unclear value propositions, poor merchandising, or missing trust elements that hurt conversion.

Revenue is not enough if fulfillment and returns erase profit. Build a contribution margin view that subtracts ad spend, pick-and-pack costs, shipping subsidies, payment processor fees, and return losses so growth decisions reflect actual economics.

Not all customers are equal in e-commerce. A buyer acquired through a discount ad may have much lower LTV than a customer who entered through organic search and purchased a replenishable or subscription-friendly product first.

A healthy LTV to CAC ratio helps determine whether paid growth is sustainable. Review this by monthly cohort so you can catch deteriorating payback as ad costs rise or repeat purchase rates fall.

Marketplace fees, wholesale pricing, and discounting can change margin dramatically across channels. Break margin out by Shopify store, Amazon, retail partners, and subscription orders so you know where scale is genuinely valuable.

Frequent discounting can quietly train customers to wait for promotions and reduce brand strength. Monitor total discount dollars, average discount depth, and revenue dependence on codes, automatic promos, and post-purchase offers.

Payback period matters for cash flow, especially for fast-growing stores with inventory commitments. Measure how many days or months it takes for contribution profit from a cohort to recover CAC so you can set realistic scaling limits.

Repeat purchase timing is one of the clearest signals of retention health in e-commerce. Segment by product type, such as consumables, apparel, or accessories, because expected reorder windows differ significantly across categories.

For stores with subscribe-and-save or membership offers, separate voluntary cancellations from failed payments. This helps you decide whether to improve product value, billing recovery, dunning flows, or renewal timing.

Welcome, browse abandonment, cart recovery, post-purchase, win-back, and replenishment flows should each generate measurable revenue. Use Klaviyo or a similar tool to compare revenue per recipient and identify sequences that need better segmentation or creative.

A loyalty program only works if customers earn and redeem rewards in ways that increase purchase frequency or AOV. Review active member rate, points redemption, reward breakage, and member versus non-member repeat purchase behavior.

High support volume often signals friction that harms retention, such as shipping delays, sizing confusion, damaged goods, or unclear return policies. Tag support tickets by reason and connect spikes to products, carriers, and campaigns.

If your store relies on recurring revenue, NRR shows whether existing customers are expanding, maintaining, or shrinking their spend over time. Include upgrades, add-ons, skipped shipments, churn, and downgrades in the calculation.

Running out of best sellers destroys momentum and makes paid traffic less efficient. Monitor stockout frequency and days out of stock for hero products, then align reorder points with lead times, seasonality, and promotional calendars.

Turnover helps you see whether capital is trapped in slow-moving inventory while fast-moving items risk stockouts. Review weeks of cover for core, seasonal, and long-tail products so purchasing decisions reflect real demand patterns.

Customers expect fast shipping, and delays increase cancellation requests and support tickets. Track the time from order placement to warehouse pick, pack, and dispatch, especially during launches, promotions, and peak season.

Carrier performance can vary widely by region and season. Compare delivery promises versus actual arrival dates for USPS, UPS, FedEx, DHL, and local carriers to reduce late shipments and choose better service options.

Returns are not just an operations issue, they directly affect growth efficiency. High return rates may come from misleading ad creative, poor product descriptions, sizing problems, or low-quality suppliers, especially in dropshipping setups.

Refund leakage can quietly erode margin if damaged deliveries, lost parcels, and appeasement refunds are not monitored. Break these rates down by warehouse, carrier, packaging type, and product category to find preventable issues.