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Email marketing metrics: what to measure for your store

4 min read

Email marketing metrics are useful when they explain where a campaign helped or lost the customer. Delivery tells you whether the message was accepted; clicks show recorded interaction; orders show a purchase outcome under your chosen reporting rules. For a Shopify store, the next step is to connect those numbers to margin, customer response, and the original purpose of the campaign.

Follow the path in order

Start with attempted and delivered messages. A delivery problem changes the meaning of every metric that follows. Then review unique clicks and the destination experience. If clicks are healthy but orders are weak, inspect stock, shipping charges, product information, and checkout friction.

Keep denominators visible. “Ten percent converted” could mean ten percent of delivered recipients, clickers, or visitors. Those are different claims. Use the same definition across the campaigns you compare and record any change in audience size, eligibility, or reporting window.

Calculate the small set of numbers you will compare

Using 1,000 delivered messages and 80 unique clickers, the unique click rate is 80 divided by 1,000, or 8%. If the reporting rules attribute 12 orders, the order rate per delivered recipient is 1.2%. Those measures describe different parts of the journey; a change in one does not explain the other automatically.

Suppose the same report credits $720 in order revenue. Revenue per delivered recipient is $0.72, and average attributed order value is $60. State whether revenue includes tax, shipping, discounts, or later refunds before comparing it with another report. Also distinguish orders from unique purchasers: one customer can place more than one order.

“Delivered” generally means the receiving system accepted the message, not that every recipient saw it in the main inbox. Treat the delivery count as an operational stage rather than proof of attention. Opens have their own measurement limitations, so do not use them alone to explain whether people found the campaign useful.

Treat attribution as a reporting rule

Sendvio supports configurable attribution windows. A longer window can credit more orders to a message, but it does not prove those additional orders happened because of the message. Keep the window consistent when judging a change in campaign performance.

Consider an illustrative campaign with 1,000 delivered messages, 80 unique clickers, and 12 attributed orders. That is a 1.2% order rate per delivered recipient under the chosen rules. It is not evidence that every order was incremental. Discounts, other messages, and existing purchase intent may also have influenced the result.

Match the next action to the weak part of the journey

If delivered messages fall while the intended audience stays similar, investigate validation, exclusions, bounces, and receiver responses. Rewriting a button will not fix a sending failure. If delivery is stable but clicks decline, inspect the promise, relevance, content hierarchy, and destinations before expanding the audience.

When clicks hold up but orders decline, check the landing page and checkout: availability, price changes, shipping surprises, device experience, and offer eligibility. If orders rise but revenue per recipient falls, examine order value and discounts. If revenue rises alongside complaints or opt-outs, consider whether the campaign borrowed attention from future sends.

Change one important factor where practical, then record what you expect to improve. This turns the report into a decision process instead of a collection of numbers that can justify almost any story after the fact.

Add the costs and the customer response

Review discount cost, channel spend, unsubscribes, and complaints alongside revenue. A message that produces a short-term sales spike can still be a poor repeat strategy if it trains shoppers to wait for discounts or exhausts the audience.

Keep a brief decision log after each campaign: what changed, what the data suggests, and what you will test next. Avoid declaring a winner from a handful of orders or an early open-rate difference. A stable reporting method is more useful than a beautiful dashboard whose definitions change every week. It lets your next decision build on the last one.

Revenue is not contribution. An illustrative $720 of attributed sales might require product costs, fulfilment, discount funding, and messaging spend that leave much less available to the business. Use your finance definitions consistently, and avoid subtracting the same discount twice if revenue already reflects it. A high-revenue campaign can be a weak commercial choice when its extra costs are ignored.

End the review with a specific next step and a reason: “Test a clearer shipping explanation because clickers reach checkout but leave at the total,” for example. Keep the finding provisional when counts are small or several things changed together. The useful outcome is a better-informed action, not a claim that one campaign report proves the whole strategy.