How to Tell Whether Your Ecommerce Email Marketing Is Working

Email dashboards can make every message look productive. They may report opens, clicks, orders, and attributed revenue, but those measures answer different questions. A useful review separates whether the message reached people, whether they acted, and whether the activity improved the business.

Choose a reporting period and document your platform's attribution settings before comparing campaigns. Keep the definitions stable or clearly mark the date they changed.

Start with delivery and list health

Review sent, delivered, bounced, unsubscribed, and complained-about messages. A growing list with worsening delivery is not healthy growth. Inspect changes by signup source and segment to find where expectations or address quality may differ.

Confirm your sending-domain setup using your provider's current instructions. Do not respond to delivery problems by sending repeatedly to disengaged or invalid addresses.

Focus on meaningful actions

Calculate unique click rate as unique clickers divided by delivered messages, using a consistent definition and filtering automated activity where supported. Look at the destination: did readers reach the intended product or guide, and could they complete the next task?

Treat open rate cautiously. Apple Mail Privacy Protection can create recorded opens without proving a person read the message. Klaviyo documents this effect and provides reporting options for identifying affected opens. [Source: Klaviyo MPP guidance.]

A message can receive fewer opens but produce more qualified visits and better contribution. Avoid optimizing the subject line at the expense of an accurate promise.

Translate revenue into economics

Subtract discounts, product costs, fulfillment, relevant fees, and expected return costs from attributable order revenue using your defined contribution model. Include program costs in a broader profitability review.

Suppose a hypothetical campaign generates $2,000 of attributed net merchandise revenue and $1,400 of variable order costs. The resulting $600 contribution is more informative than revenue alone. It still is not proof that email created all $600; some customers might have purchased anyway.

Use revenue per delivered recipient as a comparison metric only when audience, attribution, timing, and revenue definitions are sufficiently comparable.

Understand attribution

An attribution window defines how long an interaction can receive credit for a later purchase. Different tools may include clicks, opens, or other signals and apply different rules. Klaviyo allows adjustments to attribution windows and exclusions for certain interactions. [Source: Klaviyo attribution settings.]

Do not add email-attributed sales to ad-attributed sales and treat the result as unique store revenue. Both systems may credit the same order.

Estimate incremental effect when volume allows

A randomized holdout can compare eligible recipients who receive a message with those who do not. Define the outcome, observation window, sample needs, and guardrails in advance. Compare contribution and customer behavior rather than only platform-attributed conversions.

Small stores may lack enough observations for a precise estimate. In that case, use consistent reporting, customer feedback, and directional cohort trends while stating uncertainty. A before-and-after increase during a seasonal peak does not isolate the effect of email.

Finish each review with one decision: improve delivery, revise a segment, fix a destination, change a sequence, or leave a reliable flow alone. Measurement is useful when it changes what you do next.