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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Data Integrity, part 2

Yesterday I blogged about eROIs contention that consumers should not be wasting the time of lead gen companies by filling in fake data. There were lots of good comments on the post, and I strongly encourage you to go read them if you are interested in different perspectives on the data issue.
One of the arguments I was making is that people are only going to give accurate information if they trust the website that is collecting information. I do, strongly, believe this. I also believe very strongly that websites collecting information need to do so defensively. It is the only way you can get good information.
This ties in with an earlier post about a website that collects email addresses from any visitor, then turns around and submits those addresses to webforms. Hundreds of mailing lists have already been corrupted by this group. They are a prime reason companies must design address collection process defensively. There are people who do bad things, who will take an opportunity to harass senders and recipients. This company is not the first, nor will they be the last to commit such abuses.
Taking a stand against abusive companies and people may be useful, but that will not stop the abuse. It is much easier to design process that limits the amount of abuse. For lead gen, in particular, confirmed opt-in is one way to limit the amount of bad data collected. As a side effect, it also results in less blocked mail, fewer complaints and better delivery.

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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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