The idea of behavioral data affecting email sender reputation first surfaced three years ago, when AOL announced that dormant addresses would factor into sender reputation. AOL explained at the time that spammers create significant numbers of fake email addresses for the sole purpose of driving down complaint percentage rates. Even so, they said that this metric should never affect legitimate emailers who have genuine (human) email recipients.

The next phase of this concept was presented by Microsoft at the Authentication and Online Trust Alliance Conference in 2008 (PDF). Microsoft’s Anti-Spam General Manager indicated that in the future they would prefer to use recipient behavioral metrics like open-rates in addition to their other spam-related metrics to determine sender reputation. While the idea was still hypothetical at the time, the mere fact that they made these statements to a room full of email senders was worth noting.

Now, we have confirmation from Yahoo! that some of these same metrics that AOL and Microsoft have considered are now implemented into Yahoo!’s anti-spam reputation processes. Of course, we’ll never know exactly what percentage of non-openers or other behavioral factors will impact deliverability, but we can say with certainty that dormant addresses and inactive users are now playing a role in determining your Yahoo! inbox success.

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As any seasoned email marketer knows, there are almost an unlimited amount of ways to segment email marketing subscriber data. In the third and final installment of this three-part overview, Jordan Lane provides a summary of some common email segmentation sources, tips, and best practices.

Part III – Segment by acquisition channel

One of the most effective yet often overlooked methods is segmentation by acquisition channel. From my experience working with clients across various industries, I have found that customers acquired through different channels tend to have different behavioral characteristics. Here are some thoughts to consider:

• Email subscribers acquired through co-registration pages will usually respond or convert differently than organically acquired email subscribers.
• Subscribers who have been acquired in-store have already indicated that they are at least somewhat likely to purchase both at a local POS and online. Take the ZIP of the store into account and be sure to coordinate your multi-channel marketing efforts to maximize customer value.
• New email registrations acquired via mail-in forms and call centers may indicate that the customer is looking to shift from print to online shopping. You may consider a “go paperless” email offer to these customers that builds a positive, eco-friendly reputation for your brand – not to mention saving you print costs along the way.

With any segmentation program it is important to take a step back and realize that there is a real person on the other end of each email address. Every time you create an email, ask yourself whether your email content is addressing the specific needs of your audience. Email segmentation is not a one-size-fits-all discipline, but with a little tweaking here and there, you can find the right method for targeting your customer base.

Sending email based on web analytics data is a topic we’ve already covered on this site in some detail. As most email marketers know by now, web analytics data can be used in abandoned shopping cart campaigns (ReMarketing), browser behavior campaigns, and other targeted campaigns. But to me, the most important aspect of these campaigns is how the data is being used and what the net effect is on the subscriber base.

Here’s my real-life example that illustrates the issues surrounding web analytics/email integration:

I am a frequent shopper of the online retailer Amazon.com, where I have purchased books, electronics, and baby items exclusively. Last week, however, I received an extremely targeted and somewhat perplexing email promoting Amazon.com’s variety of gourmet and specialty meat selections. Wild Boar 10 Rib Rack anyone?, asked the email. The first line of the message was “As someone who has shown an interest in gourmet meat…”

What? Gourmet meat? Me? From Amazon.com? Huh?

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