Data Driven Email (and other) Marketing

The frequency of emails from the Obama campaign ended up being a talking point for pundits and late night talk show hosts. Jon Stewart of The Daily show even asked President Obama about email directly during his October 18th interview. (Video, email question at the 5:56 mark)

Jon Stewart: “We have been talking here for 12 – 14 minutes. I am curious. How many emails, in that time, do you think your campaign has sent me?”
President Obama: “It depends on whether you’ve maxed out!”

According to an article published this morning in Time, the Obama marketing campaign was highly data driven.

A large portion of the cash raised online came through an intricate, metric-driven e-mail campaign in which dozens of fundraising appeals went out each day. Here again, data collection and analysis were paramount. Many of the e-mails sent to supporters were just tests, with different subject lines, senders and messages.

This data and how effectively the marketers utilized it drove a billion dollars in fundraising.
While the Obama campaign sent out tons of email, they didn’t just batch and blast their marketing to their whole donor list. They were selective and targeted and tried to send the most relevant messages during their whole campaign. This targeting and focus on relevance drove their fundraising to record breaking heights.
More email is good, most marketers will tell you that. But it’s not just about sending more mail, it’s about sending more relevant mail. Marketers should look at what the Obama campaign did with data and how they managed an email campaign that sent so much mail so effectively.
 

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Best time to send marketing email

Pages and pages have been written about the best time to send email. Marketers spend significant amounts of energy discussing and researching the best time of the day and the best day of the week to send email. I have long thought that these discussions do not put enough attention on individual end users and how the recipients interact with email.
Researchers recently developed a model for email user behaviour that splits email users into two classes “e-mailaholics” that send, and presumably read, email all the time and “day labourers” that send, and presumably read, email during standard business hours. There is very little transition between groups, 75% of users stayed in the same usage group over the 2 years of the study.
What does this mean for senders? Senders need to know know how their recipients use email and which user group recipients are. By analyzing clicks and opens, senders can classify recipients and use that data to send mail that is more relevant and better targeted.
h/t arXiv blog at Technology Review

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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.

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Best time to send email: redux

Last week I wrote about a study classifying different types of email users. My point is that senders should be very aware of how their users interact with email, in order to provide the best user experience and the most revenue for the sender. If, for instance, the bulk of recipients are daytime (9 – 5 M-F) users, then the best time to email is different than if the bulk of recipients are all the time users of email.
At least 2 different people commented on when the “best” time to send email was, completely missing the entire point of my post. When you send email should be related to when your users are active in their email client. Senders know this, because they can track times when people open and click on links in the email. The data is all there, it just needs to be mined.
Plus, if every sender sent mail at the exact same time, that being the best time to send mail, then it will immediately become the absolute worst time to send email.
Pay attention to your recipients, and not to the internet experts. Listen to what your customers and recipients are telling you. Do what’s best for them, not what’s best for Joe’s Bait and Tackle Shop.

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