Email marketing strategy for ecommerce

An email strategy starts with a business decision

Planning email marketing is not about filling a calendar. It means deciding which customers to help, at which moment and which change you expect to observe. The calendar comes afterwards. Without that choice, campaigns can keep the team busy without solving the problem that prompted investment in the channel.

Consultancy helps organise that decision when several options exist: improve acquisition, support the first purchase, recover interest or encourage repeat buying. Sending more does not solve every problem. Sometimes data, a destination page or the proposition needs work before another piece is produced.

The result should have an operational summary: what will be prioritised, why, for whom and with which evidence it will be reviewed. That definition lets management, content and configuration work on the same problem instead of each interpreting a broad objective such as “sell more” differently.

Separate observations from hypotheses

Gather information that explains the business: categories, seasonality, acquisition channels, purchase history, common questions and existing communications. Record each observation’s source and period. A team impression can open a useful question, but does not carry the same weight as a verified pattern.

For example, “customers ask a lot about sizing” needs detail. Which questions recur? For which products? Before or after purchase? The answers may justify a guide, a product-page change or a sequence. Choosing email before understanding the question limits the solutions.

Review what current data cannot reveal too. Perhaps buyers from different categories cannot be distinguished, actual delivery is unknown or an integration started recently. The diagnosis should make those limitations visible so missing data is not turned into a conclusion about the customer.

Customer segmentation turns relevant differences into working groups. Each segment needs a reason to receive different content. Dividing by many variables without an associated decision creates complexity, rather than a more precise strategy.

Connect the proposition to the buying cycle

The catalogue shapes reasons to return. A consumable may create a replenishment need; a durable purchase may prompt questions about use or accessories. A seasonal store needs to consider what a pause between seasons means. Do not interpret all those behaviours through one delay.

As an exercise, imagine a brand selling swimwear and everyday clothing. A swimwear customer may return for another season, while someone else may seek items to combine with a recent purchase. The strategy should describe which conversation fits each situation and what information is needed to support it.

The exercise does not require a separate journey for every product. Start with differences that genuinely change the usefulness of a message. Then check whether the audience and production capacity justify maintaining those variants. Segmentation without the content to support it becomes a promise of personalisation without execution.

Prioritise evidence and dependencies, rather than a wish list

Assess initiatives with understandable criteria: the problem solved, people affected, confidence in the observation, effort and dependencies. There is no need to turn every criterion into an artificial score. What matters is explaining why one task comes before another.

The table illustrates reasoning for a fictional store. It assigns no expected results and does not recommend the same order for every business.

The email automation map helps locate these needs. Final priority should come from your situation, not a template’s order.

Turn priorities into an executable plan

Define a deliverable for each initiative that makes completion verifiable. “Improve welcome” is a direction, not a delivery. “Prepare the guidance message, validate its guide link and check entry and exit” allows tasks to be assigned and results reviewed.

The calendar should include production, review and store dependencies. If a campaign needs stock information or offer conditions, establish when they must be available. Otherwise, the sending date creates pressure that pushes content review aside.

Coordinate campaigns with automated journeys. The same person may receive both. Define situations requiring exclusions or priority changes and who reviews the whole picture when a campaign is added.

Reserve capacity to maintain published work. A strategy consuming all available time with new launches leaves active links, conditions and content without an owner. The plan should say who detects relevant changes and how to decide whether a communication is corrected, paused or removed.

Design tests around a specific question

A useful hypothesis connects a change with a reason: “if compatibility is clearer, deciding whether this accessory fits will be easier”. That can inform a content comparison. Changing audience, offer and destination simultaneously makes the observed difference harder to explain.

Klaviyo supports campaign A/B tests for subject lines, content and sending times. Choose the test according to the project’s question, rather than merely because the editor offers an option.

Before launching, agree what to observe, for how long and which result would be insufficient for a decision. A small audience or few events can leave a comparison unresolved. Do not treat every difference as certainty or prolong a test merely to find a winner.

Keep unsuccessful findings and test conditions too. A conclusion from one offer or season does not automatically apply across the calendar. Useful learning preserves context and helps choose the next step.

Review the plan with consistent metrics and context

Define channel metrics before comparing periods. Production measures show whether work was completed, behaviour measures what the audience did, and commercial measures what the business recorded. Keeping them separate avoids presenting a completed task as proof of a sales effect.

Klaviyo allows attribution windows to be adjusted. Document rule changes when comparing reports. A movement in attributed revenue can reflect measurement settings as well as changes in communications or purchasing.

When examining repeat buying, compare groups with similar observation time. Klaviyo’s cohort reports follow group behaviour over time. Use that view alongside catalogue and seasonal differences, without automatically attributing every improvement to email.

A review should end with a decision and reason: continue, correct, test another hypothesis or postpone an initiative because a dependency is missing. Preserve what is known and what remains unresolved. The strategy then evolves with evidence, and the team can explain why the next month will be different.

Sources and further reading

• Klaviyo · Campaign A/B testing
• Klaviyo · Adjusting the attribution model
• Klaviyo · Cohort analysis