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Mail.app outs lazy marketers
- steve
- Aug 17, 2012
The default mail client on OS X is Mail.app. In recent versions it does it’s best to bundle threads of email together to make it easier for you to keep track of conversations via email – they appear in the list of messages as a single entry with a badge showing the number of messages in that thread. There are standard ways to track mail threads, but they sometimes get broken by mailing list software, so Mail.app also bundles together messages with an identical sender and Subject line.
That has an unexpected side effect, when it comes to email marketing.
That little “4” badge on the right tells me that this is the fourth time Marriott have sent me this same email (over a period of several months) and there’s really no need for me to open it and read it again.
Content is the new volume!
- laura
- Mar 31, 2016
I’m having a great time here at #EEC16. Today is my visit and go to sessions day, since tomorrow I’m speaking at 2 different sessions.
I was lucky enough to get into the Customer Experience session presented by Carey Kegel of SmartPak and Loren McDonald of IBM Marketing Cloud. It was an interesting session.
If you don’t know, SmartPak is a brand focused on selling horse tack and supplements. They initially started off by creating packs of supplements for your horse. This is great for horse owners, as it means the barn staff just needs to add one pack to your horse’s feed. No measuring, no confusion, it’s simple and means your horse gets what they need.
First they started talking about the volume of email sent by SmartPak. Their mails aren’t that consistent, but they mail between 25 and 30 emails a month. Some months last year they mailed every day.
What they started seeing, though, is that the volume of marketing mail drove list churn. The biggest reason users gave for unsubscribing was “too much volume.” The more mail they sent, the more unsubscribes they saw. Even worse, more volume did not translate into revenue. As email volume went up, email performance decreased.
They tested adding content to emails. Just a block on the side of the email with links to content on their website. Adding the content links increased click through rates by 9% and revenue per email by 15%.
These results don’t require the content be in the emails. Using emails to drive recipients to already existing content on the website, including videos and surveys.
The session didn’t specifically discuss deliverability directly, but I think there were some clear deliverability benefits to content marketing. In fact, an email with no call to action, simply a post-purchase “what to expect” email had an open rate of 33%. These types of open rates help improve overall reputation and lead to more inbox deliveries.
The session really drove home how valuable content marketing is. One thing that was continually repeated during the session is that most marketers have the content already. Use email to drive users to the content you already have. Include that content in marketing mails. Meet the recipient’s needs and wants.
There are a couple takeaways I got from the session.
About that Junk Folder
- steve
- Nov 30, 2011
I use a pretty standard mail filtering setup – a fairly vanilla SpamAssassin setup on the front end, combined with naive bayesian content filters in my mail client. So I don’t reject any mail, it just ends up in one of my inboxes or a junk folder. And I have a mix of normal consumer mail – facebook, twitter, lots of commercial newsletters, mail from friends and colleagues and spam. (As well as that I have a lot of high traffic industry mailing lists, but overall it’s a fairly normal mix.)
My bayesian filter gets trained mostly by me hitting “this is spam” when spam makes it to my inbox. If I’m expecting an email “immediately” – something like a mailing list COI confirmation or email as part of buying something online – I’ll check my spam filter and move the mail to my inbox in the rare case it ended up there. Other than that I let it and spamassassin chug along with no tweaking.
I’m starting a data analysis project, based on my own inboxes, and as part of that I’m using some tools to look for false positives in my junk folders, and manually fixing anything that’s misclassified. I’ve been doing this for a couple of hours now, and I’ve found some interesting things.
