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Organizing the mail flow

I get a lot of email. On a typical day I will get close to 2000 messages across my various work and personal accounts. About 60 – 70% of that mail is spam and caught by spamassassin or my mta filters and moved into mailboxes that I check once a day for false positives. About 15 – 10% of the remaining mail is from various discussion lists, and those are all sorted into their own mailboxes so I can keep conversations straight. The rest of the email is divided between mail directly to me and various commercial lists I have opted in to.
Up until recently, the commercial mail was all just dumped into my inbox. Nothing special happened to it it just sat there until I could read it. Recently, however, the volume of commercial mail has exploded, swamping my inbox. After losing track of some critical issues, I sat down and fixed my mail filters. Now, all my commercial and marketing mail (ie, mail I signed up for with tagged addresses) is now being filtered into its own mailbox.
There are two takeaways here.
One: the volume of commercial mail has increased significantly. Companies who were previously mailing me once a month are now mailing me twice a week. This contributed to the clutter and resulted in me pushing all commercial mail out of my inbox. I don’t think this increase is limited to just my mailbox, I believe many recipients are seeing an increase in commercial and marketing email, to the point where they’re finding it difficult to keep up with it all.
Two: Recipients have a threshold over which too much email makes their mailbox less usable. Once this threshold is reached they will take steps to change that. In my case, I can just filter all the commercial email as I use tagged addresses for all my signups. In other cases, they may start unsubscribing from all the mail cluttering their mailbox or blocking senders.
It is the tragedy of the commons demonstrated on a small scale.

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How to devalue your mailing lists

This morning I got spam about college basketball – Subject: Inside: your ESPN Tourney Guide. That’s anything but unusual, but this spam got through my spam filters and into my inbox. That’s a rare enough event that I’m already annoyed before I click on the mail in order to mark it as spam.
Wait a second, the spam claims to be from Adobe. And it’s sent to a tagged address that I only gave to Adobe. Sure enough, it’s Adobe and ESPN co-branded spam about college basketball sent to an Adobe list.
Down at the bottom of the email there’s a blob of tiny illegible text, in very pale grey on white. Buried in there is an opt-out link: “If you’d prefer not to receive e-mail like this from Adobe in the future, please click here to unsusbscribe“.
I’d prefer not to receive college sports spam from anyone, including Adobe, so I click on it and find a big empty white webpage with this in the middle of it:

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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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