Recycled spamtraps

Spamtraps strike fear into the heart of senders. They’ve turned into this monster metric that can make or break a marketing program. They’ve become a measure and a goal and I think some senders put way too much emphasis on spamtraps instead of worrying about their overall data accuracy.

Recently I got a question from a client about the chances that any address they were currently mailing would turn into a recycled spamtrap. Assuming both a well behaved outbound mail server and a well behaved spamtrap maintainer the answer is never. Well behaved spamtrap maintainers will reject every email sent to one of their spamtrap feeds for 6 – 12 months. Some reject for longer. Well behaved mail servers will remove addresses that consistently bounce and never deliver.

Of course, not everyone is well behaved. There are maintainers who don’t actively reject mail, they simply pull the domain out of DNS for years and then start accepting mail. Well behaved mail servers can cope with this, they create a fake bounce when the get NXDomain for an address and eventually remove the address from future mailings. There have been cases in the past where spamtrap maintainers purchase expired domains and turn them into spamtraps immediately. No amount of good behaviour on the part of the sender will cope with this situation.

On the flip side some MTAs never correctly handle any undeliverable address when the reason is anything other than a direct SMTP response. Generally these are built on the open source MTAs by people who don’t realise there are mail failures outside of SMTP failures.

There are three general cases where recycled spamtraps will show up on a list.

  1. A list has been improperly bounce handled.
  2. An address has not been mailed for more than a year.
  3. Someone signs up an address that’s a recycled spamtrap (same as how a pristine trap will get added to a list)

ESPs have to worry about recycled spamtraps in another common case. A new customer brings over a list and decides to retry addresses that their previous ESP marked as bounced. (It happens. Regularly.)

Recycled addresses are a sign that there is a problem with the long term hygiene of a list. As with any spamtrap, they’re a sign of problems with data collection and maintenance. The traps aren’t the problem, they’re just a symptom. Fix the underlying issue with data maintenance and traps cease to be an actual issue.

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Organizational security and doxxing

The security risks of organizational doxxing. 
These are risks every email marketer needs to understand. As collectors of data they are a major target for hackers and other bad people. Even worse, many marketers don’t collect valid data and risk implicating the wrong people if their data is ever stolen. I have repeatedly talked about incidents where people get mail not intended for them. I’ve talked about this before, in a number of posts talking about misdirected email. Consumerist, as well, has documented many incidents of companies mailing the wrong person with PII. Many of these stories end with the company not allowing the recipient to remove the address on the account because the user can’t prove they own the account.
I generally focus on the benefits to the company to verify addresses. There are definite deliverability advantages to making sure email address belongs to the account owner. But there’s also the PR benefits of not revealing PII attached to the wrong email address. With Ashley Madison nearly every article mentioned that the email address was never confirmed. But how many other companies don’t verify email addresses and risk losing personally damaging data belonging to non customers.
Data verification is so important. So very, very important. We’ve gone beyond the point where any big sender should just believe that the addresses users give them are accurate. They need to do it for their own business reasons and they need to do it to prevent incorrect PII from being leaked and shared.

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August 2015: The month in review

It’s been a busy blogging month and we’ve all written about challenges and best practices. I found myself advocating that any company that does email marketing really must have a well-defined delivery strategy. Email is such vital part of how most companies communicate with customers and potential customers, and the delivery landscape continues to increase in complexity (see my post on pattern matching for a more abstract look at how people tend to think about filters and getting to the inbox). Successful email marketers are proactive about delivery strategy and are able to respond quickly as issues arise. Stay tuned for more from us on this topic.
I also wrote up some deliverability advice for the DNC, which I think is valuable for anyone looking at how to maintain engagement with a list over time.  It’s also worth thinking about in the context of how to re-engage a list that may have been stagnant for a while. A comment on that post inspired a followup discussion about how delivery decisions get made, and whether an individual person in the process could impact something like an election through these delivery decisions. What do you think?
As we frequently point out, “best practices” in delivery evolve over time, and all too often, companies set up mail programs and never go back to check that things continue to run properly. We talked about how to check your tech, as well as what to monitor during and after a send. Josh wrote about utilizing all of your data across multiple mail streams, which is critical for understanding how you’re engaging with your recipients, as well as the importance of continuous testing to see what content and presentation strategies work best for those recipients.
Speaking of recipients, we wrote a bit about online identity and the implications of unverified email addresses in regards to the Ashley Madison hack and cautioned about false data and what might result from the release of that data.
Steve’s in-depth technical series for August was a two-part look at TXT records — what they are and how to use them — and he explains that the ways people use these, properly and improperly, can have a real impact on your sends.
In spam news, the self-proclaimed Spam King Sanford Wallace is still spamming, despite numerous judgments against him and his most recent guilty plea this month. For anyone else still confused about spam, the FTC answered some questions on the topic. It’s a good intro or refresher to share with colleagues. We also wrote about the impact of botnets on the inbox (TL;DR version: not much. The bulk of the problem for end users continues to be people making poor marketing decisions.) In other fraud news, we wrote about a significant spearphishing case and how DMARC may or may not help companies protect themselves.

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Data is the key to deliverability

Last week I had the pleasure of speaking to the Sendgrid Customer Advisory Board about email and deliverability. As usually happens when I give talks, I learned a bunch of new things that I’m now integrating into my mental model of email.
One thing that bubbled up to take over a lot of my thought processes is how important data collection and data maintenance is to deliverability. In fact, I’m reaching the conclusion that the vast majority of deliverability problems stem from data issues. How data is collected, how data is managed, how data is maintained all impact how well email is delivered.
Collecting Data
There are many pathways used to collect data for email: online purchases, in-store purchases, signups on websites, registration cards, trade shows, fishbowl drops, purchases, co-reg… the list goes on and on. In today’s world there is a big push to make data collection as frictionless as possible. Making collection processes frictionless (or low friction) often means limiting data checking and correction. In email this can result in mail going to people who never signed up. Filters are actually really good at identifying mail streams going to the wrong people.
The end result of poor data collection processes is poor delivery.
There are lots of way to collect data that incorporates some level of data checking and verifying the customer’s identity. There are ways to do this without adding any friction, even. About 8 years ago I was working with a major retailer that was dealing with a SBL listing due to bad addresses in their store signup program. What they ended up implementing was tagged coupons emailed to the user. When the user went to the store to redeem the coupons, the email address was confirmed as associated with the account. We took what the customers were doing anyway, and turned it into a way to do closed loop confirmation of their email address.
Managing Data
Data management is a major challenge for lots of senders. Data gets pulled out of the database of record and then put into silos for different marketing efforts. If the data flow isn’t managed well, the different streams can have different bounce or activity data. In a worst case scenario, bad addressees like spamtraps, can be reactivated and lead to blocking.
This isn’t theoretical. Last year I worked with a major political group that was dealing with a SBL issue directly related to poor data management. Multiple databases were used to store data and there was no central database. Because of this, unsubscribed and inactivated addresses were reactivated. This included a set of data that was inactivated to deal with a previous SBL listing. Eventually, spamtraps were mailed again and they were blocked. Working with the client data team, we clarified and improved the data flow so that inactive addresses could not get accidentally or unknowingly reactivated.
Maintaining Data
A dozen years ago few companies needed to think about any data maintenance processes other than “it bounces and we remove it.” Most mailbox accounts were tied into dialup or broadband accounts. Accounts lasted until the user stopped paying and then mail started bouncing. Additionally, mailbox accounts often had small limits on how much data they could hold. My first ISP account was limited to 10MB, and that included anything I published on my website. I would archive mail monthly to keep mail from bouncing due to a full mailbox.
But that’s not how email works today. Many people have migrated to free webmail providers for email. This means they can create (and abandon) addresses at any time. Free webmail providers have their own rules for bouncing mail, but generally accounts last for months or even years after the user has stopped logging into them. With the advent of multi gigabyte storage limits, accounts almost never fill up.
These days, companies need to address what they’re going to do with data if there’s no interaction with the recipient in a certain time period. Otherwise, bad data just keeps accumulating and lowering deliverability.
Deliverability is all about the data. Good data collection and good data management and good data maintenance results in good email delivery. Doing the wrong thing with data leads to delivery problems.
 
 

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