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Engagement drives deliverability

Return Path released an white paper today offering the Secrets of Successful Senders. I don’t think any of my readers will be surprised that it boils down to identity, reputation, and engagement. Return Path treats these as separate things and I understand why they do. I think however, that the identity and reputation are supporting players to the overarching issue of engagement.

When I’m dealing with clients and troubleshooting deliverability problems and offering solutions, I focus on the root cause. To me the root cause is almost always a data problem. Either there’s a problem with data collection or there’s a problem with data maintenance. These problems result in mail going to people who don’t really want or care about it.
Yes, identity is important. But, realistically, anyone mailing through a decent ESP has SPF and DKIM in place, at least on some level. There may be better ways to authenticate, but the boxes are checked.
Yes, reputation is important. But here’s the thing, reputation just means that the ISP knows how users are going to react to an email. Reputation isn’t some nebulous concept made up by ISPs. It’s an actual measurement. It quantifies the history of an IP or a domain or a mail stream and says we know that this IP sends wanted mail. We know that this domain sends mail our users ignore. It’s a history. Past performance does indicate future results.
Identity says who a sender is. Reputation tells us that sender’s history of sending. Those are the two factors that enable ISPs to make delivery decisions. Mail comes in and the ISP looks at it. They use identity to determine what reputation to assign to a mail. Reputation drives delivery, whether into the inbox or the bulk folder.
 

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February 2016: The Month in Email

Happy March! Here’s a look back at our last month of email adventures.
Feb2016forBlogIt was a busy few weeks for us with the M3AAWG meeting in San Francisco. We saw lots of old friends and met many new people — all in all, a success, despite the M3AAWG plague we both contracted. Hot topics at the conference included DMARC, of course, and I took the opportunity to write up a guide to help you determine if you should publish a DMARC policy.
On the subject of advice and guidance, Ask Laura continues to be a popular column — we’ve had lots of interesting questions, and are always looking for more general questions about email delivery. We can’t tackle specifics about your program in this column (get in touch if we can help you with that directly) but we can help with questions like “Will our ESP kick us off for mailing purchasers?” or “Help! I’m confused about authentication.”
Continuing on the authentication front, I noted that Gmail is starting to roll out some UI to indicate authentication status to users. It will be interesting to see if that starts to affect user (or sender) behavior in any way. In other interesting industry news, Microsoft has implemented an Office 365 IP Delisting page. I also wrote a followup post to my 2015 overview of the state of ESPs and purchased lists — it’s worth checking out if this is something your business considers.
I wrote a post about security and backdoors, prompted by both the FBI/Apple controversy and by Kim Zetter’s talk at M3AAWG about Stuxnet. These questions about control and access will only get more complicated as we produce, consume, store, and share more data across more devices.
Speaking of predictions, I also noted my contribution to a great whitepaper from Litmus that explores the state of Email Marketing in 2020.
As always, we looked at some best practices this month. I wrote up some of my thoughts about data hygiene following Mailchimp’s blog post about the value of inactive subscribers. As always, there isn’t one right answer, but there’s a lot of good food for thought. And more food for thought: how best practices are a lot like public health recommendations. As with everything, it comes down to knowing your audience(s) and looking at the relationship(s), which, as you know, is a favorite subject around here.

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Dueling data

One of the things I miss about being in science is the regular discussions (sometimes heated) about data and experimental results. To be fair, I get some of that when talking about email stuff with Steve. We each have some strong view points and aren’t afraid to share them with each other and with other people. In fact, one of the things we hear most when meeting folks for the first time is, “I love it when you two disagree with each other on that mailing list!” Both of us have engineering and science backgrounds, so we can argue in that vein.
ThatsFunny
One of the challenges of seemingly contradictory data is figuring out why it seems to disagree. Of course, in science the first step is always to look at your experimental design and data collection. Did I do the experiment right? (Do it again. Always do it again.) Did I record the data correctly? Is the design right? So what did I do differently from what you did? For instance, at one of my labs we discovered that mixing a reagent in plastic tubes created a different outcome from mixing the reagent in glass vials. So many variables that you don’t even think of being variables that affect the outcome of an experiment.

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