Forcing those opens

Most email marketers want to see their open rates go up. This particular marketer has come up with a new way to force recipients to load their mail.

I’m not sure how successful this approach is going to be. I can see how this might increase open rate, as people who are interested in registering but may not load images by default actually load images. On the other hand, how common is it to not load images by default? I tend to think I’m unusual in that I have images off by default. But if I was really interested in attending the presentation I would probably open images. But I’d be a clickthrough if I was interested enough.
Any thoughts on how successful this might be at increasing the open rate?

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Don't take my subscribers away!

Tom Sather has a good summary of the problems with inactive email addresses and why data hygiene is critical to maintain high deliverability. These recommendations are some of the most difficult to convince people to implement.
Some of my clients even show me numbers that show that a recipient that hadn’t opened or read and email in 18 months, suddenly made a multi-hundred dollar purchase. Another client had clear numbers that showed even recipients that didn’t open for an entire year were responsible for 10% of revenue.
They tell me I can’t expect them to let their customers go. These are significant amounts of money and they won’t let any potential revenue go without a fight.
I understand this, I really do. The bottom line numbers do make it tough to argue that inactive subscribers should be removed. Particularly when the best we can offer is vague statements about how delivery may be affected by sending mail to unengaged users.
I don’t think many senders realize that when they talk about unengaged users they are actually talking about two distinct groups of recipients.
The first group is that group of users that actively receive email, but who aren’t opening or reading emails from particular senders. This could be because of their personal filters, or because the mail is going to the bulk folder or even simply because they don’t load images by default. This is the pool that most senders think of when they’re arguing against removing unengaged users.
The second group is that group of users that never logs in ever. They have abandoned the email address and never check it. I wrote a series of posts on Zombie Emails (Part 1, 2, 3) last September, finishing with suggestions on how to fight zombie email addresses.
Unlike senders ISPs can trivially separate the abandoned accounts from the recipients who just don’t load images. Sending to a significant percentage of zombie accounts makes you look like a spammer. Not just because spammers send mail to really old address lists, but a number of spammers pad their lists with zombie accounts in order to hide their complaint rates. The ISPs caught onto this trick pretty quickly and also discovered this was a good metric to use as part of their filtering.
I know it’s difficult to face the end of any relationship. But an email subscription isn’t forever and if you try to make it forever then you may face delivery problems with your new subscribers.

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Standardizing email metrics

Slogging towards e-mail metrics standardization a report by Direct Mag on the efforts of the Email Experience Council to standardize definitions related to email marketing.

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What does open rate tell you

There has been an lot written about open rates in the past, 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. The issue is still very confused.
If asked, most people will tell you that open rate is the number of emails that were opened by the recipient. The problem is that this isn’t actually true. Open rate is measured by the number of people that display an image in an email. Traditionally this has been a uniquely tagged 1×1 pixel, until some filters and mail clients stopped displaying 1×1 pixels. More recently, every image in an email is tagged, so opening one image would record as an open.
So open rate doesn’t actually tell a sender how many people opened and read an email. It really only records that an image in a particular email is loaded. It does not record when an email is opened. Some people don’t load images by default. Some people don’t load images at all, even when they open and actively read the text portion of the email.
Clearly, there are some uses for open rates. It can give a useful metric when comparing different forms of the same email (A/B testing) and when looking at user engagement over time. However, we have also recently seen that open rate is not predictive for click through rate.

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