The source of deliverability problems

Most deliverability problems don’t start where many people think they do. So very often people call looking for deliverability help and tell me all about the things they’re doing to reach the inbox. They’ll tell me about content, they’ll tell me about bounces, they’ll talk about complaints, engagement, opens and clicks. Rarely will they bring up their list source without some prompting on my part.
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The reality is, though, that list source is to root of deliverability success and deliverability problems. Where did those addresses come from and what do the people who gave them think you’re going to do with them?
Outsourcing collection to a third party can cause significant issues with delivery. Letting other people collect addresses on your behalf means you lack control over the process. And if you’re paying per address, then there monetary incentive for that company to pad the list with bogus addresses.
Sometimes there are even issues with having your own employees collect addresses from customers. For instance, a retailer requires sales associates collect a minimum percentage of addresses from customers. The company even ties the associates’ evaluations to that percentage. Associates have an incentive to submit addresses from other customers. Or a retailer will offer a discount for an address and customers want the discount but not the mail, so they give a fake address.
All of these things can affect deliverability.
Address collection is the key to delivery, but too many companies just don’t put enough attention to how they’re collecting addresses and entering into the relationship with subscribers. This is OK for a while, and delivery of small lists collected like this can be great. But as lists grow in size, they come under greater scrutiny at the ISPs and what used to work doesn’t anymore.
The first step to diagnosing any delivery problem is to look at the list. All of the things ISP use to measure reputation measure how well you’re collecting addresses. Changing IPs or domains or content doesn’t change the reason mail is being filtered. It just means the filters have to figure out something new to key on.
Want great deliverability? Start with how you’re collecting addresses.
Want to fix deliverability? Start with how you’ve collected addresses, how you’ve stored them and how you’ve maintained them.
 

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Horses, not zebras

I was first introduced to the maxim “When you hear hoofbeats, think horses not zebras” when I worked in my first molecular biology lab 20-some-odd years ago. I’m no longer a gene jockey, but I still find myself applying this to troubleshooting delivery problems for clients.
It’s not that I think all delivery problems are caused by “horses”, or that “zebras” never cause problems for email delivery. It’s more that there are some very common causes of delivery problems and it’s a more effective use of time to address those common problems before getting into the less common cases.
This was actually something that one of the mailbox provider reps said at M3AAWG in SF last month. They have no problem with personal escalations when there’s something unusual going on. But, the majority of issues can be handled through the standard channels.
What are the horses I look for with delivery problems.

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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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My panels from #EEC16

I had the privilege to be a part of two panels at EEC16, with some of the best folks in the business.
The first panel was “Everything You Ever Wanted to Know About Deliverability, but Were Afraid to Ask.”  eec_deliv_slide
We had a lot of great audience questions.
The first question, which was awesome (and I don’t think planted) was: “What is the most important thing we can do to improve our deliverability?”
All of us had really similar answers: pay attention to your data and your acquisition. Deliverability starts with your data: good data = good deliverability, poor data = poor deliverability. How you acquire addresses is vital to any email program.
I’ve had dozens of sales calls with potential clients over the years. Most of them tell me lots of stuff about their marketing program. I hear details of engagement, data hygiene, response rates, CTRs, bounce handling. But very, very few people spontaneously tell me how they’re acquiring addresses. That’s so backwards. Start with acquiring addresses the right way. Deliverability is all in the acquisition step. Of course, you need to nurture and care for those subscribers, sent the right message at the right time and all the good things we talk about. None of that matters if you don’t start with good data.
Another question was about spamtraps. The panel had me take this one. I’ve written extensively about spamtraps and what they do and what they mean. The important thing to remember, though, is that a spamtrap is a signal. If you have spamtraps on your list, then there is a problem with your data acquisition. Somehow, people are getting addresses that do not belong to them on the list.
Spamtraps are a problem, but not for the reasons many people think they are problems. Folks get upset when their mail is blocked because of spamtraps. Blocking isn’t the only damage, though. For every spamtrap on a list that is one less responsive addresses. It’s one customer who you are not reaching. If there are spamtraps on a list, it’s likely there are deliverable addresses that don’t belong to your customers, too. These recipients are going to view that mail as spam. They didn’t sign up, they didn’t ask for it, they don’t want it. They’re going to complain, hurting your reputation. Too many of these recipients and delivery will suffer.
Spamtraps are a warning that something is wrong. That something is usually your data acquisition process.
Questions went on through the session and ranged from things like how to get mail to B2B inboxes and is there value in certification. We also had some insightful questions about authentication.
The second panel I was on was the closing keynote panel: “ISP Postmasters & Blacklist Operators: Defending Consumer Inboxes.” This was where I got to show my incoming mail chops, a bit. I was a last minute fill in for the panel and I am honored that Dennis and Len thought I could represent the incoming mail folks. It’s not like I’m out there writing filters, but I do pay attention to what the filter operators are saying and doing.
I think it is important for marketers to get a feel for what’s really going on at the ISPs. They aren’t trying to stop real mail, they’re trying to stop malicious mail. Matt from Comcast talked a lot about how marketers and ISPs share customers and the ISPs are trying to keep those customers safe and happy. Jaren discussed some of the decision making processes his company goes through deciding whether to err on the side of letting spam through or filtering good mail. Tom discussed how his blocklist works with some brands to help stop phishing attacks against those brands.
Overall, I think the session was a great success. The conference was great and I am looking forward to going back next year.
Were you at either panel? What did you think?
+eddc

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