Failed delivery of permission based email

A few weeks ago, ReturnPath published a study showing that 20% of permission based email was blocked. I previously discussed the definition of permission based email and that not all the mail described as permission based is actually sent with the permission of the recipient. However, I only consider this a small fraction of the mail RP is measuring, somewhere in the 3 – 5% range. What happens with the other 17 – 15% of that mail? Why is it being blocked?
There are 3 primary things I see that cause asked for and wanted email to be blocked.

  • technical issues
  • content
  • expectation disconnect leading to user complaints

The technical issues range from actual RFC violating practices to minor nits that makes mail look more like spam than legit mail. The software vendors are getting better and I find less and less problems with the header content in emails. The one exception is some of the websites using Java to generate mail based on user activity. Some of the Java mail classes generate very poor headers which can decrease delivery.
Looking beyond the headers, there are still problems in the body of the email. Base64 encoding plain text, either in the subject line or in the body of the email, has been used by spammers to avoid filtering. Some legitimate mailers use software that base64 encodes plain text email, causing delivery problems. Invalid HTML is also a common mistake that can drastically hurt delivery.
Once senders have confirmed they’re sending correctly formatted, non-RFC violating email, the next big thing to look at is the content of the email. I’m not talking about the number of exclamation points in the subject line, or the word “free” or “unsubscribe” or content like that. I’m talking about more fundamental content. Is the sender selling loans, stocks or male enhancement products? If so, they are going to have delivery issues no matter how good their opt-in process is. Advertising heavily spammed or phished domains, like links to Amazon.com or eBay.com can also decrease delivery of wanted email. Some companies hire lots of different senders to advertise their domain. If they hire LegitMailer.com and they also hire spammers, LegitMailer.com will often see delivery problems based on the content of their mail being found in spam.
When this happens there isn’t much that the sender can do other than avoid the problematic content. I have one client who sends opt-in mail but will occasionally see their mail bulk foldered at major ISPs. Typically this is a one day event, and every time I’ve asked the ISPs they have always blamed the content. The companies my customer is recommending in their mail are also being mentioned in spam and so my customer’s delivery suffers.
Finally, there is sometimes a disconnect between what the recipient thought they were opting into and what the sender actually sends. This can lower a sender’s reputation and delivery. The fixes for this are not as simple as making a few technical fixes or changing the content of the email. This is a longer process and requires more analysis of recipients, what they want and how the sender can meet the recipient’s needs.

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Measuring open rate

In this part of my series on Campaign Stats and Measurements I will be examining open rates, how they are used, where they fail and how the can be effectively used.
There has been an lot written about open rates recently, but there are two posts that stand out to me. One was the EEC’s post on renaming open rate to render rate and Mark Brownlow’s excellent post on what open rate does and does not measure. I’ve also weighed in on the subject.
Overall, I find open rates to be a very frustrating metric. Some senders, particularly those relatively new to email marketing, are so sure they know what open rate is and what it means, that they don’t take any time to actually understand the number. While the name “open rate” seems self explanatory, it’s actually not. Open rate is actually not a measure of how many recipients open an email. However, there are times where open rate is a useful metric for measuring a marketing program over time.
What is an open?
If asked, most people will tell you that open rate is the number of emails that were opened by the recipients. The problem is that this isn’t actually true. An open is counted when a tagged image in an email is rendered by the recipient’s email client. Not all mail clients render images by default, but the emails are still available for the recipient to read. If a user clicks on a link in an email that has not had an image rendered, some ESPs count that as an open as well as a click. In other cases, visiting a link in an email with no image rendered is just a click, no open is recorded.
What is the open rate?
Open rate is generally the percentage of email opens divided by some number representing the number of emails sent. Many senders use the number of emails sent minus the number of bounced emails, others use just the number of emails sent without factoring in the number of emails bounced.
Open rate is a secondary metric. While it does not measure the success, or failure, of a campaign directly, it can be used as a indicator for campaigns. Many people use open rate as a metric because it’s easy to measure. Direct metrics, such as clicks or average purchase or total purchase, may take days or even weeks to collect and analyze. Open rates can be calculated quickly and easily.
What the open rate isn’t
Open rate is not a measure of how many people opened a mail. It is not a measure of how many people read a mail. It really only records that an image in a particular email is loaded and, sometimes, that a link was clicked on. Open rates can be wildly different depending on how the sender measures opens and how the sender measures sends.
What senders use open rates for
To compare their open rates with industry averages
As I talked about above, this use of open rates is problematic at best. You cannot compare numbers, even when they have the same name, if the numbers were arrived at using different calculations. Open rate is not open rate and unless you know the underlying algorithm used you cannot compare two open rates. This is a poor use of open rate.
As a metric for advertising rates
Since a sender can manipulate the open rate by using different calculation methods, this is a good metric for the advertiser to use. It is not so great for the purchaser though, who is at the mercy of the sender’s metrics. There are contractual ways a purchaser can protect herself from an unscrupulous marketer, but only if she understands how open rate can be manipulated and takes steps to define what open rate is in use.
To judge the success of campaigns over time
A single open data point doesn’t mean very much, however, using consistently measured open rates a sender can measure trends. Open trends over time are one area that open rates can help senders judge the success, or failure, of a marketing campaign.
As one metric in A/B testing
Comparing open rates in A/B testing gives some indication of which campaigns recipients may be more interested in. As with trends over time, the lone measurement isn’t useful, but as a comparative metric, it may provide senders with insight into a particular mailing.
To judge the engagement of recipients
Over the long term, recipients who do not interact with a mailing become dead weight on the list. Too many non responders can hurt a sender’s reputation at an ISP. List hygiene, in the form of removing people who never open or click on an email, is an important part of reputation management.
As metrics for email campaigns go, open rate is limited in what it measures about an email campaign. However, as a quick way to measure trending or do head to head comparisons it is a useful metric.

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Confirmed opt-in

I spent the morning in multiple venues correcting mis-understandings of confirmed opt-in. The misunderstandings weren’t so much that people didn’t understand how COI works, but more they didn’t understand all the implications.
In one venue, the conversation centered around how small a portion of deliverability the initial subscription process affects. Sure, sending unwanted, unexpected email can and does cause reputation problems, but merely using COI as a subscription methodolgy doesn’t automatically give a sender a good reputation or good delivery. Senders using COI as a subscription practice need to also need to send relevant and engaging mail that their recipients expect to receive. They need to handle their bounces well and purge or re-engage inactive subscribers. They need to keep their complaints low and their responses high.
How you manage subscriptions is only one factor in reputation schemes, and even if the subscription method is COI other factors can negate any bonus involved.
The second conversation involved Ken challenging me on the comment I left on his quiz yesterday. I said COI wasn’t foolproof and he challenged me to explain how. I did, and he’ll be following up next week.

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