You may be paying to retarget customers who never opened.
False engagement creates real marketing waste.
Retargeting Waste
Paid media follows users who never actually engaged.
Wrong Segments
Machine activity pushes customers into high-intent audiences.
Misleading Performance
Inflated email opens make weak campaigns appear healthier than they are.
A smaller verified audience can be more valuable than a larger false one.
- Larger audience
- Inflated engagement
- More retargeting spend
- Lower audience quality
- Weak conversion efficiency
- Verified human audience
- Cleaner targeting
- Less wasted media spend
- More reliable optimisation
- Better campaign economics
Do not optimise for the largest audience. Optimise for the real one.
An illustrative model to explore the idea — adjust the sliders. Not a reported statistic.
False email opens can hide the users quietly hurting your deliverability.
Machine email opens do not only distort reporting. They can keep genuinely inactive users on your sending list and quietly damage deliverability over time.
Inactive Users Stay Active
False email opens prevent natural suppression and re-engagement decisions.
Engagement Signals Weaken
You continue mailing users who are not demonstrating human interest.
Inbox Placement Suffers
Poor real engagement can eventually affect sender reputation and visibility.
One email open rate. Two very different signals.
Email sent
The campaign leaves your ESP and reaches the recipient's mailbox provider.
Open event detected & analysed
An email open signal fires — from a scanner, a proxy, or an actual person — and is examined for the patterns that separate automated activity from human behaviour.
Machine email open separated
Automated activity is identified and set aside from genuine engagement.
Human email open verified
What remains is treated as real, verified customer engagement.
Correct segment, better decision
Audiences, journeys, budget and timing decisions follow the verified signal — not the raw open count.
Detect
Identify the signals associated with each email open.
Separate
Segregate machine activity from genuine human engagement.
Act
Use verified human email opens for targeting, journeys and reporting.
Your ESP reports the email open. Can it verify the person?
The value is not in detecting another email open. It is in knowing which opens should influence your next decision.
Is your current ESP giving you enough information?
Does your ESP separate machine email opens from human opens?
Can it tell you which customers actually engaged?
Or is it counting automated activity as customer intent?
Do you use email opens to create engaged-user segments?
Do email openers enter paid media retargeting audiences?
Do email opens trigger lifecycle journeys?
Are email open rates significantly higher than clicks?
Can your ESP show machine and human email opens separately?
Are inactive users being retained because they appear to open emails?