Monitoring Your Mail Stream

One of the most important things for any mail sender to do is monitor their mail stream. There are a number of things that every mailer should pay attention to.  Some are things to monitor during delivery, some are things to monitor after delivery. All of these things tell senders important information about how their mail is being received by their recipients and the ISPs.

What to monitor during a send?

Many modern, commercial MTAs incorporate dashboard monitors into their systems so that senders can monitor sends as they are going out. Likewise, ESPs also have dashboards that give an overview of the progress of a send. These dashboards are a little different across installations but most will show you the active queue and the delayed queue. It can be useful to keep an eye on these values during a send.  are only two values that are useful to keep an eye on.

  • Active Queue size. The active queue is for messages received by the MTA and have not been sent yet. The number of mails in the active queue tells you how fast the send is progressing and how many messages have been sent.
  • Delayed Queue size. The number of mails in the delayed queue tells you how many messages have been sent but were temporarily refused by the receiving mail server (4xx response). Mails in the delayed queue may indicate some spam blocking or may be related to a problem on the receiving end.

What to monitor after a send

After a send there are a lot more things to monitor. Some of these things tell you about delivery and some of them tell you about how well a mail met user expectations and some tell you about what the ISPs are seeing from your send.

  • Feedback loop messages. The FBL messages tell you which of your recipients saw a message in their inbox and decided the mail was spam. For small volumes of mail this can be very noisy and not accurately represent how much users liked (or didn’t like) a particular mailing. Experience tells us, however, that for larger volumes of mail FBLs are an accurate measure of user reactions. High numbers of FBL messages, for mail with high inbox delivery, says that this was not something the users liked.
    • Pros
      • Accurate measure of user response for large numbers of recipients.
      • Tells you exactly what the user thought about the email.
      • One of the metrics ISPs use to make filtering decisions.
    • Cons
      • Very noisy for low volumes of mail.
      • Only some ISPs offer FBLs (see ISP Information for details)
      • Some ISPs do not share every FBL messages.
      • Need to know inbox delivery to be able to accurately determine complaint %.
  • Hotmail Smart Network Data Services. Microsoft provides senders with data about mail from specific IP addresses. Users need to sign in and authenticate the IP addresses, usually through clicking on a link to the registered owner of the IP range.
    • Pros
      • Gives number of spam trap hits per IP.
      • Gives number of complaints per IP.
    • Cons
      • Red/yellow/green color coding that sometimes doesn’t correlate with actual delivery.
      • No historic data.
  • Google Postmaster Service. The Google postmaster pages are new but provide data for an authenticated mail stream. It’s almost too new to give pros and cons.
    • Pros
      • Gives reputation data for IPs in high/medium/low/poor.
      • Gives reputation data for domains.
    • Cons
      • No API access.
      • No way to download data.
      • Some people sign up but never get any data and aren’t told why.
  • Open. Open rates are not an accurate measure of how many people actually read mail, as they require users to load images and not everyone loads images. However, they are a good trending measure and can be used to compare different mailings to the same group of people.
    • Pros
      • Easy data to get with modern sending infrastructure.
      • Every ESP will provide open data.
      • Trends can show how people react to mail over time.
    • Cons
      • Not always accurate.
      • Open rates can vary depending on target market.
  • Clicks. Tells you how many people were interested enough in your mail to click through.
    • Pros
      • This is what you want! You got people to click through and look at your website.
    • Cons
      • ISPs don’t actually measure clicks so don’t count towards ISP engagement data.
  • Unsubscribes. Unsubscribe rate tells you how many people so disliked your mail that they wanted no more mail from you. It’s a bit of an unconventional measure, but I like using it to see how recipients are responding to mail.
    • Pros
      • A form of negative feedback that doesn’t affect deliverability. ISPs don’t know when someone has unsubscribed using your link.
      • Useful as trending data.
    • Cons
      • Some MTAs don’t provide easy access to unsubscribe numbers.

There’s no such thing as a useless source of data. The more data and information you have, the better decisions you can make. Creating effective views of the above data sources can lead to much more direct and immediate feedback on how recipients are reacting to your mailings. This knowledge can drive more effective and productive emails in the future.

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Don't unsubscribe from spam!!

Having been around the email and anti-spam industry for a while, I’ve just about seen and heard it all. In fact, sometimes I’ve been around for the beginning of the myth.
One myth that seems to never actually go away is “unsubscribing just confirms you’re a real address and your address will get sold and your spam load will explode.” This is related but orthogonal to “spammers harvest addresses out of unsubscribe forms.” The reality is that both of these things used to be true. Unsubscribing would confirm your email address and increase your spam load. Spammers would harvest addresses out of unsubscribe forms.
But neither of these things have really been true for the last decade.
I have had clients over the years that are spammers. Some of the are names that you probably would recognize. Some of them are companies we could probably all agree are spammers.  Some of them are buying addresses from companies that are spammers. Some of them are companies that have a good mailing program here and then hire snowshoers over there. Sometimes they come to me claiming to be real mailers “with minor delivery problems.” Sometimes they come to me saying that a blocklist has recommended they talk to me about repairing their processes. Sometimes they even actually want to fix things. Sometimes they’re just looking to say that I’ve given them a clean bill of health (which is not something I do).
What that means is that I have lots of addresses on lots of spammer lists. Not just the ones they’ve found, but ones I’ve used to test their systems. I use tagged or disposable addresses for everything. Some of my disposable accounts are only marginally connected to me as I want to see what senders really do for their subscribers rather than what they want me to think they do. The ones I add to their system I use to test their subscription process as well as their unsubscription process.
I have never encountered a situation where unsubscribing one of those addresses caused a “multiplication” (to quote one anti-spammer) of my spam load.
I’ve had cases where my clients have ignored unsubscribes. I’ve had cases where my clients have decided years later to add me to their list again. I’ve had cases where they’ve been bought out and my address has been reactivated by the new owners. I’ve had cases where months or even years of 5xx responses was ignored. I’ve seen just about every bad bit of behavior on behalf of spammers. But I’ve never actually had unsubscribing increase my spam load.
It doesn’t matter how often people demonstrate unsubscribing doesn’t result in more spam in the current email ecosystem. (Ken Magill 2013NYTimes 2011, dayah.com 2009). It doesn’t matter that many mailers treat “this is spam” button hits the same way they handle unsubscribe requests. The myth still persists.
 
 

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My holiday email prediction

I was on IRC with a group of ESP delivery specialists last week and one of them was looking for something to blog about. I suggested a list of holiday predictions. Not that I have a huge number of holiday predictions, but I did come up with one.
During the holiday season at least one retailer will decide that they have information so important that they will ignore my opt-0ut request and add me to their holiday blast list.
So what’s your holiday email prediction?
 

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Unsubscribing from spam, part 2

Yesterday I posted about why the reasons a lot of people give for not unsubscribing from spam are mostly wrong. Unsubscribing from spam doesn’t seem to confirm your address and it doesn’t seem to increase your spam load.
But does that mean you should unsubscribe from spam? I’m not sure about that.
I’ve been working on a project where I am unsubscribing from every message coming into one of my email addresses. Weeks into that process I’m not seeing a huge decrease in the amount of mail that address is receiving. In some cases I’m unsubscribing from the same senders multiple times a day and have been for close to 3 weeks.
While unsubscribing doesn’t increase your spam, I’m also not sure it decreases your spam, either. But I’ll have full data and numbers demonstrating that in a few more weeks.
What can have an effect on the amount of spam you get is complaining about spam, at least according to Brian Krebs.

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