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 email: analysis and discussion

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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.
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Poor research and a quickly written blog post led to me endorsing a company that I absolutely shouldn’t have. And I do apologize for that.
With all that being said, Justin had a great question in the comments of yesterday’s post about data cleansing.

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Who is responsible for data integrity

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