Commerce generates data relentlessly. Every click, every cart, every conversion, every return. All captured, all measurable, all available for analysis. The problem isn’t lack of data. It’s knowing which data matters.

Most commerce dashboards track too much. Vanity metrics that look good but don’t drive decisions. Activity measures disconnected from outcomes. Numbers watched because they’re available, not because they’re actionable.

Here are the metrics that actually matter: the ones that connect to business results and inform real decisions.

Revenue metrics

Gross revenue tells you how much you sold. Net revenue (after returns, discounts, allowances) tells you how much you kept. Track both; manage to net.

Revenue by channel matters when channels have different economics. A dollar of marketplace revenue isn’t worth the same as a dollar of direct revenue after fees. Understand the mix.

Revenue per visitor (RPV) combines traffic and conversion into a single efficiency metric. If you’re optimizing separately, you might improve one while degrading the other. RPV keeps them connected.

Average order value (AOV) shapes economics. Shipping costs, payment fees, and pick/pack costs are partially fixed per order. Higher AOV means better unit economics. Track it; design for it.

Conversion metrics

Conversion rate is foundational but insufficient alone. A 3% conversion rate from high-intent search traffic is different from 3% from social media browsing.

Conversion by traffic source reveals which acquisition channels produce buyers versus browsers. Cheap traffic that doesn’t convert isn’t cheap.

Cart abandonment rate is where money goes to die. Industry averages run 70%+. Understanding why (through abandonment surveys, session analysis, and checkout funnel examination) is more valuable than the rate itself.

Checkout completion rate (cart-to-purchase) isolates the final step. If customers add to cart but don’t complete checkout, the problem is checkout friction, not product appeal.

Customer metrics

Customer acquisition cost (CAC) is what you pay to get a customer. Include all marketing and sales costs, not just the ad spend that’s easy to track.

Customer lifetime value (CLV) is what that customer is worth over time. The simplest calculation: average order value × purchase frequency × customer lifespan. More sophisticated models account for margin, retention curves, and discount rates.

CLV:CAC ratio is the metric. A ratio below 1 means you’re paying more to acquire customers than they’re worth, a path to bankruptcy. A ratio of 3:1 is often cited as healthy; below that, acquisition efficiency needs work.

Repeat purchase rate is the CLV driver most within your control. What percentage of first-time buyers make a second purchase? First to second purchase is the hardest conversion in commerce.

Retention by cohort shows whether you’re getting better or worse at keeping customers over time. Month-over-month averages obscure trends; cohort analysis reveals them.

Operational metrics

Order accuracy measures how often customers get exactly what they ordered. Anything below 99% is a customer service problem hiding in the warehouse.

Fill rate (percentage of ordered items shipped from available stock) indicates inventory health. Low fill rates mean stockouts, backorders, and disappointed customers.

Return rate by category, by reason, by source reveals where product or content problems live. Overall return rate is interesting; return rate by reason code is actionable.

Time to ship (order to carrier) and time to deliver (order to customer door) shape customer expectations. Know them, communicate them, improve them.

The metrics that mislead

Some commonly tracked metrics deserve skepticism:

Site traffic without conversion context is vanity. More traffic that doesn’t convert is just higher hosting bills.

Email list size without engagement metrics is misleading. A list of 100,000 with 2% open rates is less valuable than 20,000 with 25% open rates.

Social followers rarely correlate with revenue. Track them for brand awareness if you want; don’t confuse them with business metrics.

Gross margin percentage without volume context hides problems. A 50% margin business losing money to a 30% margin business with better turns is still losing.

The dashboard that works

A commerce dashboard should fit on one screen and be reviewable in five minutes. That means choosing:

3-5 primary metrics that define business health. Revenue, conversion, CLV:CAC, and a couple of operational indicators.

Comparison context for every number. Versus target, versus last period, versus last year. A number without comparison is meaningless.

Trend direction visible at a glance. Up, down, flat. Color-coding that shows problems immediately.

Drill-down available when something looks wrong. The dashboard is the summary; detail should be a click away.

Everything else goes in secondary views for people who need them. The executive dashboard stays focused.

Using metrics, not just tracking them

The point of metrics isn’t measurement but decision-making.

Every metric you track should connect to a decision you can make. If conversion is low, what will you do? If CAC is rising, what will you change? If return rates spike, what will you investigate?

Metrics without action plans are just numbers on a screen. The commerce teams that outperform don’t track more metrics. They act on the metrics they track.