An open rate can tell you that an email registered as opened. It cannot tell you whether the reader cared, clicked, bought, unsubscribed, complained, or quietly decided the next email was easier to ignore.
That makes open rate useful. It just does not make it a strategy.
For ecommerce campaigns, I prefer a five-number scorecard:
- Click rate
- Placed-order or conversion rate
- Revenue per recipient
- Unsubscribe rate
- Spam complaint rate
Open rate still belongs in the review. It sits beside the scorecard as a diagnostic clue—not above it as the final grade.
Why open rate cannot carry the whole review
Open tracking has always been an approximation. It generally relies on a small image loading inside the email. Privacy features, image blocking, and automated activity can all change what gets recorded.
Apple Mail Privacy Protection made the limitation especially visible. Klaviyo explains that Apple Mail can pre-fetch the tracking pixel, creating an open event even when the platform cannot distinguish an inbox-generated open from a person reading the message. Klaviyo provides an Apple Privacy Open property so marketers can separate affected events in reporting and segmentation.
There is another clue in Google’s sender guidance: Google says it does not track open rates and cannot verify the accuracy of open rates reported by third parties. Low open rates, Google adds, are not necessarily proof of a deliverability or spam-classification problem.
So open rate is not useless. It is simply carrying less certainty than the tidy percentage in the dashboard suggests.
If opens rise after a stronger subject line, that may be worth investigating. If opens fall across an engaged audience, that may point toward inbox placement, timing, recognition, or subject-line fatigue. But the number cannot explain the whole campaign by itself.
And it definitely cannot tell you whether the campaign was commercially good.
The five-number ecommerce email scorecard
The five numbers below answer three different questions:
- Did the message earn action?
- Did that action create a commercial outcome?
- What did the send cost the audience?
That last question is easy to skip when revenue looks healthy. Dashboards are wonderfully agreeable like that.
1. Click rate: did the email earn a next step?
Click rate measures the share of delivered recipients who clicked a link. It is a stronger behavioral signal than an open because the recipient had to do something beyond loading the message.
Use it to evaluate whether the email created enough relevance and clarity to earn the next step.
A weak click rate can point to several problems:
- The subject line earned curiosity that the content did not satisfy.
- The product or offer was not relevant to the audience.
- The hierarchy made the action hard to find.
- The campaign explained the product without giving someone a reason to care now.
- The landing-page promise was not clear from the email.
Click rate does not tell you which explanation is correct. It tells you where to look.
2. Placed-order or conversion rate: did the action go anywhere?
Clicks are progress, not the finish line. Conversion rate adds the downstream outcome.
Klaviyo defines placed-order rate as orders within the selected attribution window divided by unique recipients. That attribution window matters. Email platforms can report attributed orders differently from analytics tools, so keep the comparison method consistent before declaring a winner.
When clicks are healthy but conversion is weak, investigate what happens after the email:
- Does the landing page match the promise?
- Is the promoted product available in the sizes, colors, or configurations people want?
- Is the offer understandable?
- Does the mobile buying experience introduce friction?
- Did the campaign attract curiosity without enough purchase intent?
This is why “the email did not convert” can be a lazy diagnosis. Sometimes the email did its job and handed the problem to the website.
3. Revenue per recipient: how efficiently did the audience produce revenue?
Total attributed revenue rewards reach. Send to more people and the total may rise even while the average recipient becomes less productive.
It helps compare campaigns with different audience sizes and exposes the tradeoff between scale and efficiency.
Suppose a broad send produces more total revenue than a targeted send, but much lower revenue per recipient and noticeably higher unsubscribes. The broad send may still have been worthwhile. It may also have borrowed from future performance. The scorecard keeps both possibilities visible.
Do not compare revenue per recipient carelessly across completely different jobs. A new-product education campaign should not be judged exactly like a final-hours promotion. Compare similar campaign types, audiences, and commercial moments.
4. Unsubscribe rate: who decided the relationship was no longer worth it?
An unsubscribe is not automatically a crisis. Some list churn is normal, and making the exit easy is better than encouraging a spam complaint.
The trend matters.
Look for changes by campaign type, audience, acquisition source, and frequency. A rising unsubscribe rate can indicate:
- The message did not match the reason people subscribed.
- The audience was too broad.
- The content or promotion was repetitive.
- Campaign pressure increased faster than relevance.
- Low-intent acquisition filled the list with people who never wanted much email in the first place.
One campaign above a benchmark is not a strategy emergency. A repeated pattern is a decision waiting to be made.
5. Spam complaint rate: did the send damage permission?
Spam complaints are a direct negative signal to mailbox providers. Monitor them both inside your email platform and, where available, in mailbox-provider tools.
Google’s current bulk-sender guidance says to keep the spam rate reported in Postmaster Tools below 0.10% and avoid ever reaching 0.30% or higher. Yahoo tells bulk senders to remain below 0.3%.
Those are guardrails, not performance targets. “Still below the maximum” is not much of a creative brief.
Watch the direction of travel. A campaign that earns acceptable revenue while complaints move sharply upward has created a cost that may show up later through weaker inbox placement and reduced reach.
How to read the five metrics together
Do not review each number in isolation. Read the pattern.
High opens, low clicks
The envelope worked better than the message
Did the content fulfil the subject-line promise?Healthy clicks, weak conversion
The email earned action, but the buying path lost it
Does the landing page, offer, or inventory match the campaign?Revenue up, RPR down
More reach created more total revenue with lower efficiency
Was the incremental revenue worth the audience cost?Revenue healthy, unsubscribes rising
The send monetized today while reducing future permission
Which audience or campaign type created the churn?Clicks and conversion healthy, complaints rising
The campaign worked for some recipients and was unwanted by others
Was targeting too broad or consent quality weak?This pattern review is more useful than asking whether a single metric was “good.” Good compared with what, for which audience, doing which job?
A practical campaign-review routine
- 01
Confirm the comparison
Compare like with like. Check the audience, campaign job, offer strength, send day, attribution window, and any major inventory or site changes.
- 02
Read the response
Review opens as context, then click rate as the clearer sign that the message earned action.
- 03
Read the outcome
Review conversion rate, attributed revenue, and revenue per recipient. Separate total scale from recipient-level efficiency.
- 04
Read the cost
Review unsubscribes, spam complaints, and bounces. Check both the individual campaign and the trend across recent sends.
- 05
Make one decision
Choose the most useful next action. It might be a subject-line test, a tighter segment, a different product angle, a landing-page fix, or less repetition.
Do not respond to a crowded dashboard by creating a crowded testing plan. One well-chosen decision beats six vaguely interesting ones.
What should open rate be used for?
Use open rate as a directional diagnostic when you are looking at:
- Subject-line and sender-name recognition
- Broad changes in inbox visibility
- Engagement trends with MPP-affected opens separated where practical
- Large differences between comparable campaigns
- Audience recency alongside clicks and other activity
Do not use it alone to prove:
- Revenue impact
- Message quality
- Purchase intent
- Deliverability health
- Audience value
- Incremental lift
An open can help start the investigation. It should not end it.
Build the scorecard around the decision
The point of measurement is not to admire the dashboard. It is to decide what to do next.
For ecommerce campaigns, clicks show whether the message earned action. Conversion and revenue per recipient show whether that action became commercially useful. Unsubscribes and complaints show what the send cost the audience.
Open rate remains nearby, doing the job it can actually do: offering a clue.
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