
Email Measurement
Part of Email campaign measurement
Measuring sales after an email without double counting
Count orders once by ID, state an email attribution rule and avoid adding the same purchase from separate reports.
Count actual orders once in the order system, then decide which of those orders a stated reporting rule credits to the email. Keep the order total separate from attributed revenue. One customer can receive an email, click an ad and make one purchase while more than one dashboard reports credit for it.
Establish the order total
Use the system holding completed orders as the reconciliation base. Keep each order’s ID, time, status and value under a stated definition. Decide how cancellations, refunds, shipping and tax affect the figure. An order count and a revenue total need separate rules.
Use transaction IDs to minimise duplicate key events. Check IDs against the order system instead of assuming analytics captured every sale.
State the email credit rule
A tagged email link can identify campaign traffic when analytics collection is configured. It does not establish a sale by itself. The purchase must be recorded, and the reporting system must connect it to the qualifying interaction.
Write down which email interaction qualifies, the attribution window and how later interactions with other channels are treated. Mailchimp’s connected-store attribution gives credit to the most recent qualifying Mailchimp message interaction within its configured windows; it can use email opens or clicks.
Because products can apply different attribution rules and reporting scopes, their figures need not match.
Under [rule] and [window], [number] distinct completed orders worth [defined value] were credited to this email. Credited sales are not proof of sales that would not have happened without the email.
Attribution Rules Across Tools – Key Differences
- Tool
- Mailchimp
- Qualifying Interaction
- Click or open (based on setup)
- Qualifying Interaction
- Event-based (e.g. purchase event triggered after click)
Reconcile a sale shown twice
Imagine a hypothetical order after an email click and a later search-ad click. The store holds one order. Mailchimp may credit an earlier qualifying email interaction within its own reporting scope, while an analytics report may credit the later ad or allocate credit under a different model. Adding the attributed value from each report would falsely present one order as multiple sales.
Match records by order ID where the tools expose it. Keep one actual order value and status, with separate columns showing each tool’s attributed credit. If a tool exposes only aggregate attributed revenue, label it as that tool’s figure and do not add it to the store total. Keep missing or unmatched IDs visible.
Report the boundary
Show distinct completed orders and defined value from the order system, then the subset credited to email under the chosen rule and window. Note later refunds or cancellations, unmatched orders and known tracking gaps. If dashboards disagree, examine their event collection, windows, attribution models and value definitions before changing the conclusion.
Do not sum credits from separate systems or call attributed revenue incremental sales.


