Best time to send email: analysis and discussion

Mark Brownlow (who I don’t think is here in Ams, much to my disappointment) wrote a long assessment of how to determine what is the best time to send email. He walks through the questions and the data that a sender should evaluate when making the decision when to best send email.
I have previously posted about my views on the best time to send email. There is no one best time to send email. In fact, my experience leads me to believe if someone said the best time to send email is at 4pm on Tuesday afternoon then 4pm on Tuesday afternoon would rapidly become the absolute worst time to send email.
It should come as no surprise, then, that I really like Mark’s #4 recommendation.

4. Make the question obsolete
An alternative option to second guessing the best time of day to send out your emails is to do away with the question entirely.
Eh?
Control of timing becomes less critical to success where the recipient either determines the time of send for you (a concept also applied in the one-to-one model described above). Or where the recipient is determined to seek your emails out, irrespective of when you send them.

Send relevant email that recipients want and they will seek you out. They’ll create filters to put your mail in their “must read” mailboxes, they’ll add your sending addresses to their address books, they’ll actively look for your mail and exactly when you send the mail will become less of a variable in response rates.

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Delivery advice from Politico

Politico published an article Sunday looking at the best e-mail lists in politics. Their criteria for choosing the winner focused on list size and recipient engagement, measured by amount of money raised and recipient response to issues. Despite not being a delivery focused article or even mentioning delivery at all, this article is all about delivery.
How can an article be about delivery without ever mentioning the word? By actually looking at the effectiveness of the overall campaign and measuring how the lists actually perform. In the article, Politico used a number of criteria to evaluate different email lists and programs.

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How to devalue your mailing lists

This morning I got spam about college basketball – Subject: Inside: your ESPN Tourney Guide. That’s anything but unusual, but this spam got through my spam filters and into my inbox. That’s a rare enough event that I’m already annoyed before I click on the mail in order to mark it as spam.
Wait a second, the spam claims to be from Adobe. And it’s sent to a tagged address that I only gave to Adobe. Sure enough, it’s Adobe and ESPN co-branded spam about college basketball sent to an Adobe list.
Down at the bottom of the email there’s a blob of tiny illegible text, in very pale grey on white. Buried in there is an opt-out link: “If you’d prefer not to receive e-mail like this from Adobe in the future, please click here to unsusbscribe“.
I’d prefer not to receive college sports spam from anyone, including Adobe, so I click on it and find a big empty white webpage with this in the middle of it:

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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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