See what happened after each message.
Connect each send to clicks, replies, purchases, and progress through automated flows. Moosewave shows how every number was measured and treats opens as a trend, not proof of a read.
Explain the revenue change
- Orders matchedTransactions checked against refundsComplete
- Credit estimatedRule and time window shown7 days
- Difference estimatedRecipients compared with a similar group+4.8%
- Test proposedOne next action waits for approvalReview
SavedAnalysis ready to inspect
The method, time window, matched orders, refunds, uncertainty, and next test are all named.
- Details
- Visible
- Checks
- Ready
- Action
- Waiting
Open-rate limits
Why did open rate stop being trustworthy?
Open rate usually relies on a tracking image. Privacy features can load that image without a person reading the message, so recorded opens include automated activity.
Use opens to compare trends, not as proof of attention. An open alone should not decide who receives another message or follows a different path.
Example / metric quality
Measure the action that matters.
Not every metric tells you the same thing. A purchase or deliberate click says more than an email-open pixel, which privacy software may load without a person reading the message.
- StrongestPurchase, reply, completed goalAn action close to the result you wanted gives the clearest signal.
- HelpfulClick and a site action tied to the messageUseful when you can tell who acted, when they acted, and which message led there.
- WeakEmail-open pixelUse only as a hint because privacy software can load it automatically.
This guide compares how useful each signal is for a decision; it is not customer performance or an invented score. Opens may show a direction, but they are too unreliable for many decisions.
Turn campaign results into a clear next decision
Moosewave places delivery and inbox-placement results beside customer actions. Teams can see where a message arrived and what happened next.
Opens are labelled as trends and are not the default rule for deciding who is active. Reports keep unsubscribes and complaints beside positive outcomes.
- Placement by mailbox provider beside delivery and customer actions
- Results broken down by meaningful audience segment
- Unsubscribes and complaints beside clicks and conversions
- Opens labelled as trends, not proof that someone is active
- Clicks
- Above baseline
- Conversions
- Attributed
- Bounces
- Within range
- Opens
- Directional only
Learn the details
Practical guidance, when you need it.
Open the question that matters to you. The core product workflow is above; these sections explain the underlying concepts and tradeoffs.
Reliable metricsWhich email metrics can you rely on?
Prefer measurements close to the result you wanted. Filtered clicks, replies, completed account actions, purchases, and unsubscribes usually tell you more than opens.
Read several metrics together. Clicks show interest, completed goals show outcomes, and unsubscribes or complaints reveal when a message was unwanted.
Scroll to compare
| Metric | Reliability | What it actually tells you |
|---|---|---|
| Click rate | Useful after filtering | A click suggests interest, but security scanners and accidental taps should be removed. |
| Reply rate | Useful | A direct response, though automated replies should be removed. |
| Completed goal (conversion) | Useful when verified | The action you wanted, confirmed in the system where it happened. |
| Unsubscribe rate | Direct | A clear request to stop marketing messages. |
| Complaint rate | Direct and urgent | A sign to review permission, audience selection, frequency, and expectations. |
| Bounce rate | Delivery check | Shows failed deliveries. An address that permanently fails should go on the do-not-send list. |
| Open rate | Trend only | Includes automated image loading from privacy features. |
| Delivery rate | Limited alone | Shows server acceptance, not inbox placement or a human read. |
AttributionWhat does email attribution mean?
Attribution is the rule used to credit a conversion to a message. Results change with the model, tracking source, and time window.
Use credited revenue as an estimate, not an exact total. For a major decision, compare with a similar group that received no message; this is called a holdout test.
Campaign reportsWhat does a useful campaign report contain?
A useful report connects the audience, message, result, and cost. Break results down by meaningful audience groups so one average does not hide a problem.
Compare server acceptance with inbox placement. Then read clicks and completed goals beside unsubscribes and complaints. Keep the sales-credit rule and time window visible.
A/B testingHow should A/B tests be read?
Choose one decision, one main outcome, and the number of recipients before starting. Small differences need larger groups, so a visible gap is not automatically reliable.
Avoid choosing a subject-line winner from opens alone. Privacy loading affects that metric; use a later customer action when the test has enough volume.
Common questions
What is a good email open rate?
There is no universal good rate, and automatic image loading by privacy tools changes the number. Pair open trends with clicks, replies, completed goals, unsubscribes, and complaints.
What complaint rate is too high?
Provider rules differ. Google says senders should keep spam rates below 0.1% and avoid 0.3% or higher. Review any sustained rise promptly.
Why do my email platform and my store report different revenue?
They may use different rules, time windows, or customer identifiers when crediting a sale. Use store revenue as the total and platform estimates to compare campaigns.
How many recipients does an A/B test need?
It depends on your usual result, the smallest change worth finding, and how certain you need to be. Calculate the sample before sending instead of using one fixed number.
Measure the outcome behind the number.
The guided demo uses sample data and does not send anything. It shows where this capability fits in a complete customer journey.