Confirmed opt-in

I spent the morning in multiple venues correcting mis-understandings of confirmed opt-in. The misunderstandings weren’t so much that people didn’t understand how COI works, but more they didn’t understand all the implications.
In one venue, the conversation centered around how small a portion of deliverability the initial subscription process affects. Sure, sending unwanted, unexpected email can and does cause reputation problems, but merely using COI as a subscription methodolgy doesn’t automatically give a sender a good reputation or good delivery. Senders using COI as a subscription practice need to also need to send relevant and engaging mail that their recipients expect to receive. They need to handle their bounces well and purge or re-engage inactive subscribers. They need to keep their complaints low and their responses high.
How you manage subscriptions is only one factor in reputation schemes, and even if the subscription method is COI other factors can negate any bonus involved.
The second conversation involved Ken challenging me on the comment I left on his quiz yesterday. I said COI wasn’t foolproof and he challenged me to explain how. I did, and he’ll be following up next week.

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Disposable or Temporary Addresses

Mark Brownlow has a really good post up today about disposable and temporary addresses and how they affect marketers trying to build an opt-in list.
I use tagged addresses for all my signups, and have for more than 10 years now. It lets me track who I gave an address to and if this mail is contrary to what I signed up for or the address has leaked, I can shut down mail to that address entirely.
Tagged addresses also have another function. One of our local brew pubs has a rewards program, spend money there, get points. As part of the signup process, they requested an email address. All the email I have received from them has been clearly branded, well designed, they are an example of how to use email right. That is until last week. Last week I received an email to the tagged address from some survey company. The survey company provided no branding, nothing.

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Reputation as measured by the ISPs

Part 3 in an ongoing series on campaign stats and measurements. In this installment, I will look a little closer at what other people are measuring about your email and how that affects your reputation at the ISPs.
Part 1: Campaign Stats and Measurements
Part 2: Measuring Open Rate
Reputation at the ISPs is an overall measure of how responsive recipients are to your email. ISPs also look at how much valid email you are sending. Anything the ISP can measure and use to distinguish good mail from bad is used in calculating reputation.
Some of the major metrics ISPs use include the following.
Invalid Address Rates
The ISPs count how much mail from any particular IP address is hitting non-existent addresses. If you are mailing a large number of email addresses that do not exist (550 user unknown), this is a suggestion that your address collection techniques are not very good. Responsible mailers do have the occasional bad address, including typos, expired/abandoned addresses, but the percentage in comparison to the number of real email addresses is low. How low is low? Public numbers suggest problems start at 10% user unknowns, but conversations with ISP employees show they consider lower levels a hint there may be a problem.
To calculate bounce rate ISPs take the total number of addresses that were for invalid accounts and divide that by the total number of addresses that the sender attempted to send mail to. Rates above 10% may cause significant delivery issues on their own, rates lower that 10% may still contribute to poor delivery through poor reputation scores.
Spamtraps
ISPs pay a lot of attention to how much mail is hitting their “trap” or “bait” accounts. There are a number of different sources of these trap accounts: old abandoned email addresses, addresses that never existed or even role accounts. Hits to a trap account tells the ISP there are addresses on your list that did not opt-in to receive mail. And if there are some addresses they know about that did not opt-in, it is likely that there are other addresses that did not opt in.
Spamtraps tend to be treated as an absolute number, not as a percentage of emails. Even a single spamtrap on a list can significantly harm delivery. According to the ReturnPath Benchmark report lists with a single spamtrap had nearly 20% worse delivery than lists without spamtraps.
This is spam clicks (FBL complaints)
Complaints from users are heavily used by ISPs. This tells them directly how many people are objecting to your email. In this case, permission is removed from the equation. Even if a sender has permission to send email, the recipient can say “no, I don’t want this, it is spam.” The ISPs put more weight on what their users tell them than on what the senders tell them.

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