What’s the difference between user-level and aggregate engagement?
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Think about two different questions a mailbox provider is asking at the same time. First: is this sender generally trustworthy? Second: does this specific recipient actually want their emails? Those are user-level and aggregate engagement, and they're doing different jobs.
Aggregate engagement is the big picture. It's the combined signal from everyone on your list. How many people open, click, delete without reading, or mark your emails as spam across all your recipients? Mailbox providers use this to decide your sender reputation. A poor aggregate score can get your emails routed to spam for everybody, even loyal subscribers who always open.
User-level engagement is personal. Gmail and Outlook watch how each individual behaves with your emails over time. A subscriber who opens every send, clicks regularly, and never marks you as spam builds up a positive personal history. That history can keep your emails landing in their inbox even if your aggregate reputation takes a hit.
The flip side is also true. You might have strong overall engagement numbers, but a disengaged segment of subscribers who signed up ages ago and never interact. For those people, the personal signal is weak or negative, so they're more likely to see your emails in spam or the promotions tab regardless of how well the rest of your list performs.
Practically, this means two different problems need two different fixes. If your engagement is hurting your deliverability across the board, you need to clean your list, suppress the non-openers, and improve the emails themselves. That's an aggregate problem. If the issue is more selective (some subscribers consistently miss your emails), the answer is re-engagement campaigns or better positive signal building with that segment.
You have more direct control over aggregate engagement than you might think. Sending to engaged subscribers only, removing cold contacts regularly, and making your emails genuinely worth opening all move the aggregate number in the right direction. User-level engagement is harder to engineer, but a strong welcome sequence and consistent value go a long way toward building that personal history early.
If your list has been sitting for a while, a clean can help you identify who's worth keeping. RME Clean flags disengaged contacts before they drag your aggregate engagement down further (and yes, we actually send back the file ;))
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