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How to devalue your mailing lists

This morning I got spam about college basketball – Subject: Inside: your ESPN Tourney Guide. That’s anything but unusual, but this spam got through my spam filters and into my inbox. That’s a rare enough event that I’m already annoyed before I click on the mail in order to mark it as spam.
Wait a second, the spam claims to be from Adobe. And it’s sent to a tagged address that I only gave to Adobe. Sure enough, it’s Adobe and ESPN co-branded spam about college basketball sent to an Adobe list.
Down at the bottom of the email there’s a blob of tiny illegible text, in very pale grey on white. Buried in there is an opt-out link: “If you’d prefer not to receive e-mail like this from Adobe in the future, please click here to unsusbscribe“.
I’d prefer not to receive college sports spam from anyone, including Adobe, so I click on it and find a big empty white webpage with this in the middle of it:

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Best time to send email: redux

Last week I wrote about a study classifying different types of email users. My point is that senders should be very aware of how their users interact with email, in order to provide the best user experience and the most revenue for the sender. If, for instance, the bulk of recipients are daytime (9 – 5 M-F) users, then the best time to email is different than if the bulk of recipients are all the time users of email.
At least 2 different people commented on when the “best” time to send email was, completely missing the entire point of my post. When you send email should be related to when your users are active in their email client. Senders know this, because they can track times when people open and click on links in the email. The data is all there, it just needs to be mined.
Plus, if every sender sent mail at the exact same time, that being the best time to send mail, then it will immediately become the absolute worst time to send email.
Pay attention to your recipients, and not to the internet experts. Listen to what your customers and recipients are telling you. Do what’s best for them, not what’s best for Joe’s Bait and Tackle Shop.

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The importance of data hygiene

Over the weekend, one of the major ISPs purged a lot of abandoned accounts from their system. This has resulted in a massive increase in 550 user unknown bounces at that ISP. This ISP is one of those that uses bounces to feed into their reputation system and the purge may cause otherwise good senders to be blocked temporarily.
Talking to clients and other industry folks, it looks like the addresses that have newly bounced off had zero activity for at least 6 months. Nothing. Nada. No clicks. No opens. No interaction.
This is why data hygiene is so critical. Just because the emails are being accepted at the ISP, and even showing inbox placement at the mailbox monitoring companies does not mean that there is actually someone reading your email. Failure to look at overall data means that when an ISP bulk deletes abandoned accounts then bounces will increase. While I don’t expect this to have any real, long term effect on sender reputation I do expect that some senders with a lot of cruft on their list will see some short term delivery problems.
Companies that run re-engagement campaigns saw a whole lot less bouncing and even less blocking as a result of the purge. They were removing addresses that were non-responsive all along and thus didn’t have major deadwood on their list.
Ongoing data hygiene shows you what your list really is, not your list plus abandoned accounts. The addresses that the ISP purged? They were not valuable anyway. No one was reading that mail for at least 6 months.
If you did see a spike in bounces this weekend at a major ISP, you should really look at engagement. If some percentage of recipients at one ISP are actually non-existent, then it’s likely that about that same number are non-existent at other major ISPs as well. What are you going to do to identify and remove those dead addresses from your lists?

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