The perfect email

More and more I’m moving away from consulting on technical setup issues as the solution to delivery problems. Delivery is not about the technical perfection of a message. Spammers get the technical right all the time. No, instead, delivery is about sending messages the user wants. While looking for something on the blog I found an old post from 2011 that’s still relevant today. In fact, I’d say it’s even more relevant today than it was when I wrote it 5 years ago.
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Email is a fluid and ever changing landscape of things to do and not do.
Over the years my clients have frequently asked me to look at their technical setup and make sure that how they send mail complies with best practices. Previously, this was a good way to improve delivery. Spamware was pretty sloppy and blocking for somewhat minor technical problems was a great way to block a lot of spam.
More recently filter maintainers have been able to look at more than simple technical issues. They can identify how a recipient interacts with the mail. They can look at broad patterns, including scanning the webpages an email links to.
In short, email filters are very sophisticated and really do measure “wanted” versus “unwanted” down to the individual subscriber levels.
I will happily do technology audits for clients. But getting the technology right isn’t sufficient to get good delivery. What you really need to consider is: am I sending email that the recipient wants? You can absolutely get away with sloppy technology and have great inbox delivery as long as you are actually sending mail your recipients want to receive.
The perfect email is no longer measured in how perfectly correct the technology is. The perfect email is now measured by how perfect it is for the recipient.

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Check your tech

One of the things we do for just about every new client coming into WttW is have them send us an email from their bulk mail system. We then check it for technical correctness. This includes things like reviewing all the different From headers, rDNS of the connecting IP, List-Unsubscribe headers and authentication. This is always useful, IMO, because we often find things that were right when they were set up, but due to other changes at the customer they’re not 100% correct any more.
This happens to most of us. Even a company as small as Word to the Wise misses a rDNS update here or a hostname change update there when making infrastructure changes. That’s even when the same people know about email and are responsible for the infrastructure.
One of the most common problems we see is a SPF record that has accumulated include: files from previous providers. There are a couple reasons for this. One is the fact that SPF is set up while still at the old provider in anticipation of moving to the new provider. Once the move is made no one goes back to clean up the SPF record and remove the old entries. The other reason is that a lot of tech folks don’t like to delete things. Deleting things can lead to problems, and there’s no harm in a little extra in the SPF record. Except, eventually, there are so many include files that the lookup fails.
Every mailer should schedule a regular tech audit for their mail. Things change and sometimes in the midst of chance we don’t always catch some of the little details.

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About that Junk Folder

I use a pretty standard mail filtering setup – a fairly vanilla SpamAssassin setup on the front end, combined with naive bayesian content filters in my mail client. So I don’t reject any mail, it just ends up in one of my inboxes or a junk folder. And I have a mix of normal consumer mail – facebook, twitter, lots of commercial newsletters, mail from friends and colleagues and spam. (As well as that I have a lot of high traffic industry mailing lists, but overall it’s a fairly normal mix.)
My bayesian filter gets trained mostly by me hitting “this is spam” when spam makes it to my inbox. If I’m expecting an email “immediately” – something like a mailing list COI confirmation or email as part of buying something online – I’ll check my spam filter and move the mail to my inbox in the rare case it ended up there. Other than that I let it and spamassassin chug along with no tweaking.
I’m starting a data analysis project, based on my own inboxes, and as part of that I’m using some tools to look for false positives in my junk folders, and manually fixing anything that’s misclassified. I’ve been doing this for a couple of hours now, and I’ve found some interesting things.

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Relevance?

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