Top KPIs Every eCom Retail Business Should Track (so your numbers stop haunting you at 3 a.m.)
- IssyHayes

- Aug 26
- 5 min read
Why KPIs matter (and why you shouldn’t treat them like horoscopes)
KPIs are the compass for your online store. Without them, you’re running promotions, paying for ads, and launching new products with the confidence of someone throwing darts blindfolded. The right KPIs tell you what’s working, what’s leaking cash, and where to double down.
Below are the top KPIs for eCom retail, what they mean, how to calculate them (yes, with formulas), typical benchmarks (very approximate — they vary by niche), tools to measure them, and quick next steps.
1) Conversion Rate (CR)
What it is: The percentage of visitors who complete a purchase.
Formula:
Conversion Rate = Number of Orders / Number of Sessions × 100
Why it matters: A direct measure of how well your site and product pages convert traffic into paying customers.
Rough benchmark: 1%–4% for many retail sites (specialty/brand sites can be higher).
How to track: Google Analytics 4, Shopify, platform analytics. A/B test landing pages and product pages to raise this.
Quick win: Improve product images, write clearer CTAs, and shorten checkout steps.
2) Average Order Value (AOV)
What it is: The average revenue per order.
Formula:
AOV = Total Revenue / Number of Orders
Why it matters: Increasing AOV means more revenue without increasing acquisition spend.
How to track: Ecommerce platform reports, analytics dashboards.
Quick win: Offer product bundles, threshold-free shipping at a minimum that nudges larger carts, or cross-sell on the cart page.
3) Customer Acquisition Cost (CAC)
What it is: How much you spend (marketing, ads, promotions) to acquire a new customer.
Formula:
CAC = Total Marketing & Sales Spend / Number of New Customers
Why it matters: CAC tells you if your marketing ROI makes sense. If CAC > first order profit, you’ve got a problem—funny until it’s not.
How to track: Combine ad platform spend (Google, Meta, TikTok) with new customer counts from your analytics/CRM.
Quick win: Optimize ad creatives, target audiences, and reduce friction on landing pages.
4) Customer Lifetime Value (CLTV or LTV)
What it is: The total profit you expect from a customer over their relationship with your brand.
Simple formula (cohort approach):
LTV = AOV × Purchase Frequency (per year) × Average Customer Lifespan (years)
Why it matters: LTV helps determine how much you can afford to spend to acquire customers (CAC) and remains profitable.
How to track: Cohort analysis in your analytics or tools like Klaviyo, Shopify reports, or a BI tool.
Quick win: Start an email/rewards program to increase repeat purchases and extend the customer lifespan.
5) Return on Ad Spend (ROAS)
What it is: Revenue generated for each dollar spent on ads.
Formula:
ROAS = Revenue from Ads / Ad Spend
Why it matters: Quick indicator of ad efficiency. High ROAS = more profit per ad dollar.
Typical target: Varies—2x might be fine for low-margin bulk items; many brands aim for 4x+.
Quick win: Pause low-performing creatives, reallocate to high-performing audiences, and track post-click conversions correctly.
6) Cart Abandonment Rate
What it is: Percentage of shoppers who add items to cart but don’t complete checkout.
Formula:
Cart Abandonment Rate = (Carts Created − Completed Purchases) / Carts Created × 100
Why it matters: High abandonment is a sign of checkout friction, unexpected costs, or trust issues.
How to track: Platform analytics, GA4, or checkout analytics tools.
Quick win: Show shipping costs earlier, add guest checkout, and use exit-intent offers or abandoned cart emails.
7) Repeat Purchase Rate (RPR) / Retention Rate
What it is: The share of customers who come back and buy again.
Formula:
Repeat Purchase Rate = Number of Returning Customers / Total Customers × 100
Why it matters: Returning customers typically spend more and cost less to convert.
How to track: CRM, Shopify, or cohort reports.
Quick win: Loyalty programs, targeted email flows, and personalized offers.
8) Gross Margin (and Gross Margin %)
What it is: Profit after product costs (COGS) but before operating expenses.
Formula:
Gross Margin % = (Revenue − COGS) / Revenue × 100
Why it matters: Real profitability depends on margin—not just revenue. Low margin + high CAC = heartbreak.
How to track: Accounting system, inventory reports.
Quick win: Negotiate supplier costs, optimize packaging, or raise prices for high-value SKUs.
9) Return / Refund Rate
What it is: Percentage of orders returned or refunded.
Formula:
Return Rate = Number of Returned Orders / Total Orders × 100
Why it matters: Returns cost money, eat into margins, and can signal product quality or sizing issues.
How to track: Order management systems and returns platform reports.
Quick win: Improve size guides, add better product descriptions, and improve QA.
10) Inventory Turnover
What it is: How quickly you sell through inventory in a period.
Formula:
Inventory Turnover = COGS (for period) / Average Inventory (for period)
Why it matters: High turnover = less capital tied in stock; low turnover = markdowns and deadstock.
How to track: Inventory management systems and ERP.
Quick win: Run promotions on slow movers or bundle with bestsellers.
11) On-time Delivery Rate & Fulfilment Accuracy
What it is: Percent of orders delivered on time and correctly.
Why it matters: Shipping experience is a major driver of reviews, returns, and NPS.
How to track: Fulfilment partner dashboards, order management systems.
Quick win: Tighten SLA with fulfilment partners, add shipment tracking updates.
12) Net Promoter Score (NPS) / Customer Satisfaction
What it is: A simple measure of how likely customers are to recommend you.
Why it matters: Word-of-mouth and brand love fuel organic growth.
How to track: Customer surveys post-purchase.
Quick win: Follow up detractors quickly and reward promoters.
Putting KPIs into a system (don’t just glance at a dashboard once a quarter)
Decide your North Star KPI (e.g., Revenue, Profit, or LTV:CAC ratio). This is the metric the whole team rallies behind.
Create a dashboard with daily/weekly checks (GA4, Shopify, Looker Studio, or your BI tool).
Set short-term experiments (A/B tests, promotional campaigns) and measure lift against baselines.
Run a monthly KPI review focusing on action items, not just numbers.
Tools you’ll probably use
Google Analytics 4 (traffic, conversion tracking)
Shopify / BigCommerce / Magento (orders, AOV, returns)
Email/CRM tools (Klaviyo, HubSpot) for retention metrics
Ads platforms (Google Ads, Meta, TikTok) to calculate CAC and ROAS
Inventory/fulfilment tools for turnover and delivery metrics
(If you want, tell me which platforms you use and I’ll suggest exact reports to pull.)
Quick checklist to get started (because long lists are intimidating)
Choose your North Star KPI.
Track daily: Conversion Rate, Revenue, Sessions.
Track weekly: AOV, CAC, ROAS, Cart Abandonment.
Track monthly: LTV, Gross Margin, Repeat Purchase Rate, Inventory Turnover.
Run one experiment every two weeks and measure lift.
Final note (and a tiny bit of tough love)
Metrics are only useful when they lead to action. Numbers without experiments are like a gym membership you never use - expensive and guilt-inducing. Start with the handful that affect your bottom line most (CR, AOV, CAC, LTV), automate the reports, and iterate.


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