New Feedback loop

There’s a new feedback loop at mail.ru. This is a DKIM based FBL (like Yahoo) and is designed primarily for ESPs. I am hearing there is an IP based FBL for ISPs in the works, but there isn’t a firm release date for that yet.
Senders and ESPs can signup for the new FBL at http://postmaster.mail.ru/. One caveat is that you must have a mail.ru account in order to get access to the stats page and there isn’t currently an English webmail page. I tried but couldn’t get online translators to work on the signup page.

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Why offer a feedback loop?

Someone asked yesterday

What business advantage is there to an ISP in offering a feedback loop? I’ve never really seen one.

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Beware the TINS Army

When consulting with clients, I spend a lot of time trying to help them better understand the concept of sender reputation. Spam reports, feedback loops, and other data that comes from a collection of positive and negative reputational feedback about a company sending email.
Certainly, the “This is not spam” action – moving an email from the spam folder to the inbox, or clicking the “not spam” button in a web mail’s interface, is a strong positive reputational action. Some webmail providers use this data to decide which bulked senders deserve being let out of the penalty box – which should have their mail once again delivered to the inbox.
A client recently theorized that a great solution to their delivery problems would be to do this “en masse.” Sign up for hundreds or thousands of webmail accounts, send my mail to them, and click on the “not spam” button for each of my own emails. That’ll greatly improve my sending reputation, right?
NO! ISPs have already thought of this. They watch for this. They’re really good at picking up on things like this. I know for a fact that Yahoo and Hotmail and AOL notice stuff like this, and I strongly suspect other webmail providers notice it as well.
What happens when Yahoo or Hotmail pick up on this type of unwanted activity? Well, if it’s at Yahoo, they’re likely to block all mail from you, 100%, forever. I’ve seen it happen more than once. Yahoo might even identify all of your netblocks, ones beyond the ones sending today’s mail or originating today’s activity. And good luck trying to convince them that you’re not a spammer – you have a better chance of winning the lottery two weeks in a row.
As for Hotmail – what would Hotmail do? Ask Boris Mizhen. Microsoft is currently suing him, alleging that he and/or his agents or associates engaged in this very practice.

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Feedback loops

There are a lot of different perspectives on Feedback Loops (FBLs) and “this is spam” buttons across the email industry.
Some people think FBLs are the best thing since sliced bread and can’t figure out why more ISPs don’t offer them. These people use use the data to clean addresses off their lists, lower complaints and send better mail. They use the complaints as a data source to help them send mail their recipients want. Too many recipients opted out on a particular offer? Clearly there is a problem with the offer or the segmentation or something.
Other people, though, think the existence of “this is spam” buttons and FBLs is horrible.  They call people who click “this is spam” terrorists or anti-commerce-net-nazis. They want to be able to dispute every click of the button. They think that too many ISPs offer this is spam buttons and too many ESPs and network providers pay way to much attention to complaints. The argue ISPs should remove these buttons and stop paying attention to what recipients think.
Sadly, I’m not actually making up the terminology in the last paragraph. There really are who think that the problem isn’t with the mail that they’re sending but that the recipients can actually express an opinion about it and the ISPs listen to those opinions. “Terrorists” and “Nazis” are the least of the things they have called people who complain about their mail.
One of the senior engineers at Cloudmark recently posted an article talking about FBLs and “this is spam” buttons. I think it’s a useful article to read as it explains what value FBLs play in helping spam filters become more accurate.

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