Ecommerce Metrics That Actually Matter (And How to Track Them)

Most ecommerce dashboards are full of numbers. Sessions, pageviews, bounce rates, follower counts, email open rates — there’s no shortage of data. The problem isn’t lack of data; it’s knowing which numbers actually matter and how to act on them.

Here are the ecommerce metrics that experienced brands actually use to run their businesses — and the ones that get ignored or misinterpreted most often.

The Core Revenue Metrics

Conversion Rate (CVR)

Sessions that result in a purchase, expressed as a percentage. The most directly actionable store performance metric.

Formula: Purchases ÷ Sessions × 100

Benchmark: 2.5–3.5% all-ecommerce average; 1.5–2.5% for furniture/home; 3.5–5% for beauty/food

How to improve: Checkout simplification, trust signals, product page optimisation, speed improvements

Average Order Value (AOV)

Average revenue per completed order. Increasing AOV is the fastest way to grow revenue without increasing traffic or conversion rate.

Formula: Total Revenue ÷ Number of Orders

How to improve: Free shipping threshold above current AOV, product bundles, post-purchase upsell, cross-sells on product pages

Revenue Per Session (RPS)

The single most comprehensive revenue efficiency metric — it combines conversion rate and AOV into one number.

Formula: Total Revenue ÷ Total Sessions (or CVR × AOV)

Why it matters: A store with 2% CVR at $100 AOV ($2.00 RPS) generates more revenue per visitor than a store with 4% CVR at $45 AOV ($1.80 RPS) — despite the lower conversion rate. Optimising RPS is more valuable than optimising either CVR or AOV independently.

Acquisition Metrics

Customer Acquisition Cost (CAC)

What it costs to acquire one new customer, including all marketing and sales spend.

Formula: Total Marketing Spend ÷ New Customers Acquired

Healthy CAC:CLV ratio: CAC should be at least 3x lower than CLV. If CLV is $200, your max sustainable CAC is ~$67.

ROAS (Return on Ad Spend)

Revenue generated per dollar of ad spend. A useful campaign-level efficiency metric but can be misleading as a business health metric (doesn’t account for COGS or operational costs).

Formula: Revenue Attributed to Ads ÷ Ad Spend

MER (Marketing Efficiency Ratio)

Total revenue divided by total marketing spend — a more honest measure than channel-specific ROAS because it captures the blended efficiency of all marketing, including the spillover effects between channels.

Formula: Total Revenue ÷ Total Marketing Spend

Why it matters: A Meta campaign might show 4x ROAS, but if Google’s organic, email, and brand direct are contributing to those “Meta” purchases, the real Meta ROI may be lower and the MER gives a truer picture of overall efficiency.

Retention Metrics

Customer Lifetime Value (CLV)

Total revenue a customer generates over their relationship with your brand. The north star metric for retention-focused brands.

Formula: AOV × Purchase Frequency × Average Customer Lifespan

Repeat Purchase Rate

Percentage of customers who make more than one purchase. A leading indicator of loyalty programme effectiveness and overall customer satisfaction.

Benchmark: 25–35% repeat rate is average; 40%+ is strong

Customer Churn Rate

Percentage of customers who don’t repurchase within a given timeframe. The definition of “churned” depends on your purchase cycle — for a daily coffee brand, 30 days without a purchase is churn; for a furniture brand, 24 months may be the threshold.

The Metrics You Should Stop Obsessing Over

• Social media follower count: Correlation between follower count and revenue is weak. Engagement rate and conversion from social traffic are more meaningful.
• Email open rate in isolation: With Apple Mail Privacy Protection inflating open rates, revenue per email sent and click-to-conversion rate are more reliable performance indicators.
• Bounce rate: High bounce rate on product pages is often misinterpreted — some visitors read, decide, and leave without triggering a “bounce” as tracked in GA4. Session depth and add-to-cart rate are more relevant for product pages.
• Traffic volume without conversion rate context: 100,000 visitors converting at 0.5% is less valuable than 20,000 visitors converting at 3%. Traffic without conversion context is noise.

OneOnic builds analytics dashboards for Shopify brands that surface the metrics that drive decisions — not vanity numbers that look good in reports. If you want help understanding what’s really driving your store’s performance, get in touch.