Never 100% inbox

No matter how great an email program deliverability is, no one can guarantee that 100% of the email sent will reach the recipient’s inbox. Why? Recipients can make decisions about where mail goes in their own inbox. Every mail client has a way for users to control where mail is delivered.

This is good for delivery, when the mail means so much to people that they override spam filters and put mail in their inbox. This is problematic for delivery when the final recipient throws mail away or filters it into spam.

Of course, there’s no way to know what individual recipients are doing with mail in general. Sure, there’s currently panel data but that is only for the subset of users that installs a 3rd party app into their mailbox. There’s no way to know where 100% of email is delivered.

For me, I consider any email program with a >95% inbox delivery rate to be an excellent program. I also don’t think there’s much the sender can do in order to get that last 5% to the inbox. That 5% is just not reachable. Not by improving data, not by double opt-in, not by any of the things we do to improve delivery. Some small percentage of mail is just never going to get in front of the user.

The primary reason for these delivery failure is the end user. End users can, and do, create their own filters. While ISPs do curate the inbox, end users have the ability to filter email. If an enduser sets up a filter for a particular email, the ISP isn’t going to overrule that. ISPs want the end users to have a pleasant inbox experience. Thus, the end user’s wants and needs rule. Nothing is clearer to the ISP whether a particular user wants an email than that user directly setting up a filter.

Thinking about the concept of best practices
Whois silliness from Tucows

Related Posts

Collecting email addresses

One of the primary ways to collect email addresses is from website visitors, and it’s actually a pretty good way to collect addresses. One of the more popular, and effective, techniques is through a pop-up window, asking for an address. Users need to provide an address or click a “no thanks” link or close the window. I’ve noticed, though, that many companies drop something passive aggressive in their “no thanks” button. “No, thanks, I don’t want to save money.” “I don’t need workout advice.”

Read More

Did the algorithm change?

When faced with unexplained deliverability changes one of the first questions many folks ask is “Did the algorithm change.” In many ways this is an meaningless question. Why? Because there are two obvious answers to the question.
A1: Of course it didn’t.
A2: Of course it did.
Both answers are correct, but they’re answering different underlying questions. When we understand how two diametrically opposed answers are both correct, we understand much more about filtering.

Read More

Updating the filtering model

One thing I really like about going to conferences is they’re often one of the few times I get to sit and think about the bigger email picture. Hearing other people talk about their marketing experiences, their email experiences, and their blocking experiences usually triggers big picture style thoughts.
Earlier this week I was at Activate18, hosted by Iterable. The sessions I attended were interesting and insightful. Of course, I went to the deliverability session. While listening to the presentation, I realized my previous model of email filtering needed to be updated.

Read More