Ecommerce email marketing audit service

Find issues and opportunities through an audit that ends with prioritised decisions, not a generic list of tips.

An audit should help decide what to fix first

An email marketing audit reviews how contacts are acquired, how recipients are selected, which messages are sent and how results are interpreted. Its value lies in turning observations into decisions: what works, what needs correction and what cannot yet be concluded.

Start with the question behind the review. Perhaps a flow stopped sending, unsubscribes increased or the team cannot explain differences between reports. A specific objective helps select evidence and distinguish a single incident from a broader channel review.

Before starting, agree whether the delivery is a limited review, a diagnosis of particular journeys or a wider audit. Also define whether implementing corrections is included. The team then knows what to expect and who owns the next steps.

Agree scope, access and samples

The inventory should include the email platform, store, integrations and tools sending similar messages. Request named access with permissions appropriate to the review; use read-only access where sufficient. Avoid sharing credentials or exporting personal data unnecessary to explain a finding.

Define the analysis period and pieces to be reviewed. Sampling can be useful, but should be identified as such: reviewing a few emails does not establish that every journey works. This table suggests areas to include in scope.

AreaWhat to reviewWhat may limit the conclusion
Acquisition and dataForms, contact status and fields usedIncomplete history or a recent integration
AudiencesSegments, exclusions and actual recipientsRule changes without a record
AutomationsEvents, conditions, delays and messagesMissing real cases or test data
Campaigns and contentProposition, links, terms and coordinationContent checked only as a sample
DeliverabilityAuthentication, bounces, complaints and trendsMissing access or provider signals
MeasurementMetrics, periods and attribution rulesConfiguration changes or incomparable sources

If message reception is the main issue, specify a deliverability review. If the customer journey is affected, prioritise automation rules. Scope should follow the observed problem.

Each finding needs reproducible evidence

Record where the problem appears, when it was observed and under which configuration. A screenshot without context may show a symptom without making it reproducible. Include the piece identifier, reporting period and steps needed to find the evidence again.

Separate facts from hypotheses. “The link leads to a missing page” can be checked directly. “That error explains the sales decline” needs more evidence. Preserve that distinction so a technical observation does not become an unsupported commercial conclusion.

When using a profile as an example, retain only necessary information and avoid exposing personal details in the shared report. Describe the behaviour, event and relevant condition. The aim is to let the team review the case, not multiply copies of customer data.

Also record what could not be checked. Pending access, an integration without history or a piece that has already changed should be listed as limitations, alongside the information needed to resolve them.

Example of a report that leads to specific actions

The fictional sample below explains the format of a finding. It does not describe issues discovered in an Abalola account or promise financial impact. Priority comes after assessing scope, certainty and consequences.

Example observationEvidence to attachProposed actionClosure criterion
A button leads to a retired collectionSource URL and destination responseUpdate the link in the active pieceThe received link reaches the approved collection
Copy shows an unresolved variableTest with missing data and email versionDefine fallback content and check implementationProfiles with and without data receive complete text
A reminder arrives after a purchaseEvent timeline and sequence rulesReview the condition controlling subsequent sendingA purchase during the delay behaves as agreed
Two reports use different periodsDates, timezone and both configurationsAlign the comparison and document its limitsThe comparison identifies period, metric and source

“Review the flow” is too open-ended as a final task. A useful recommendation identifies the piece, proposed change, owner and test that will establish resolution.

Not every skipped message is an error

Klaviyo recipient activity shows skip reasons, including filters, suppression and sending errors. Check the specific reason before concluding that an automation is broken.

A reminder that stops after a purchase may be doing its job. A message that cannot be generated because data is missing needs a different investigation. Counting those situations together hides the distinction between an intended exclusion and a fault.

Reconstruct the timeline: which event occurred, when it reached the platform and which conditions were evaluated. Also check whether the message was active and whether another tool sent something similar. Changing a rule without understanding that timeline can move the problem elsewhere.

Klaviyo supports previews and test emails with profile or event data. Use that check to inspect the case’s content, then complete the review with actual journey activity.

Klaviyo profile filters for country and no new purchases since entering the flow
This Klaviyo example combines a country filter with a condition requiring no purchases since entering the flow. The event and time period determine who continues.Original source

Prioritise consequences, evidence and dependencies

A lengthy report is not useful if every recommendation seems equally urgent. Distinguish issues affecting recipients or commercial terms, measurement obstacles and improvements needing a hypothesis. Explain each priority in language the team can verify.

Consider dependencies too. Correcting copy may use existing resources; verifying an event may require the store’s technical team. The plan should allow progress while identifying what blocks each task and who can resolve it.

The handover should answer these questions.

  • What was reviewed and what was outside scope?
  • Which findings are established and which are hypotheses?
  • What should be fixed first, and why?
  • Who implements each change and what do they need?
  • Which test closes each issue?
  • When will results be reviewed again?

Keep the previous configuration and corrected version when work is implemented. Audit closure should distinguish recommendations delivered, changes applied and behaviour verified.

Use the audit as the basis of the next plan

A review of email metrics should identify definitions, sources and periods. Klaviyo allows configurable attribution windows; configuration changes should be recorded when comparing results.

Do not estimate recoverable revenue by adding up everything labelled an opportunity. A correction may improve operation before its commercial effect can be isolated. If a test is proposed to measure it, agree first which comparison will be valid and which data is missing.

After diagnosis, turn priorities into a working strategy with owners and deliverables. First check that corrections behave as intended, then consider which signals support further action. An audit’s value is enabling the team to act and verify, rather than accumulating recommendations without follow-up.

Sources and further reading

AI-assisted translation

Article by Dídac Anton. The English, German, Dutch and French versions were translated from Spanish with the help of AI.

Read the Spanish original