Standard Email Metrics

The EEC has been working on standardizing metrics used in email marketing. They have published a set of definitions for different terms many email marketers use. They published their Support the Adoption of Email Metrics (S.A.M.E) guide in June.
Under the new EEC definitions an open is measured when either a tracking pixel is displayed or a user clicks on any link in the email, including the unsubscribe link. Open rate is defined as the number of opens (either unique or total) divided by the number of accepted emails. Accepted emails equals the number of emails sent minus the number of emails rejected by the ISP for any reason.
The authors do caution, however, that even their measurements may under count the number of email subscribers that actually open or read an email. Some readers don’t load images or click on links but happily read and digest the content being sent. Others may not click on a link but actually visit a website or brick and mortar store to purchase something based on the email.
Overall, I think the definitions created by the S.A.M.E. group accurately reflect the things they want to measure within the limits of what is actually measurable. Their definitions won’t affect conversations in the short term, but are likely to drive change to standard terminology over the longer term. I do strongly encourage people to grab a copy of their document and see how their definitions compare with your current measurements.

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Two of my tagged email addresses started getting identical pharma spam over the weekend. It is annoying me because I am now getting spam in a mailbox that was previously spam free. The spam is overwhelming the real traffic and I am having to make some decisions about what to do with the email addresses and their associated accounts with the companies I gave them to.
One thing I did notice, though, is that both companies use iContact as their ESP. A cursory check of my other mailboxes shows that none of my other tagged addresses are mailed through iContact. I don’t think it’s very likely that these two individual, unrelated companies made deals with the same spammers to sell address lists at the same time. It’s much more likely that there was a compromise somewhere and address lists were stolen.
Edit: Checked my other account and, likewise, I’m getting the same spam to a 3rd address serviced by iContact. I’ve sent mail to all 3 companies involved and we’ll see how they react.
And, as I was thinking about this, iContact just laid off a bunch of staff about the same time they announced their partnership with Goodmail. Based on past history with companies in this situation, it seems possible this is a disgruntled former employee. I’ve also seen reports from other people noticing spam to addresses given to iContact customers.

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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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