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 Cleansing part 2

In an effort to get a blog post out yesterday before yet another doctor’s appointment I did not do nearly enough research on the company I mentioned selling list cleansing data. As Al correctly pointed out in the comments they are currently listed on the SBL. And when I actually did the research I should have done it was clear this company has a long term history of sending unsolicited email.
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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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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Non marketers speak

A couple quotes from different folks, who aren’t actually in marketing, but have insightful comments on marketing.

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