Outrunning the Bear

bear
You’ve started to notice that your campaigns aren’t working as well as they used to. Your metrics suggest fewer people are clicking through, perhaps because more of your mail is ending up in junk folders. Maybe your outbound queues are bigger than they used to be.
You’ve not changed anything – you’re doing what’s worked well for years – and it’s not like you’ve suddenly had an influx of spamming customers (or, if you have, you’ve dealt with them much the same as you have in the past).
So what changed?
Everything else did. The email ecosystem is in a perpetual state of change.
There’s not a bright line that says “email must be this good to be delivered“.
rideInstead, most email filtering practice is based on trying to identify mail that users want, or don’t want, and delivering based on that. There’s some easy stuff – mail that can be easily identified as unwanted (malware, phishing, botnet spew) and mail that can easily be identified as wanted (SPF/DKIM authenticated mail from senders with clean content and a consistent history of sending mail that customers interact with and never mark as spam).
The hard bit is the greyer mail in the middle. Quite a lot of it may be wanted, but not easily identified as wanted mail. And a lot of it isn’t wanted, but not easily identified as spam. That’s where postmasters, filter vendors and reputation providers spend a lot of their effort on mitigation, monitoring recipient response to that mail and adapting their mail filtering to improve it.
Postmasters, and other filter operators, don’t really care about your political views or the products you’re trying to sell, nor do they make moral judgements about your legal content (some of the earliest adopters of best practices have been in the gambling and pornography space…). What they care about is making their recipients happy, making the best predictions they can about each incoming mail, based on the information they have. And one of the the most efficient ways to do that is to look at the grey area to see what mail is at the back of the pack, the least wanted, and focusing on blocking “mail like that”.
If you’re sending mail in that grey area – and as an ESP you probably are – you want to stay near the front or at least the middle of the grey area mailers, and definitely out of that “least wanted” back of the pack. Even if your mail isn’t great, competitors who are sending worse mail than you will probably feel more filtering pain and feel it sooner.
Some of those competitors are updating their practices for 2015, buying in to authentication, responding rapidly to complaints and feedback loop data, and preemptively terminating spammy customers – and by doing so they’re both sending mail that recipients want and making it easy for ISPs (and their postmasters and their machine learning systems) to recognize that they’re doing that.
Other competitors aren’t following this years best practices, have been lazy about providing customer-specific authentication, are letting new customers send spam with little oversight, and aren’t monitoring feedback and delivery to make sure they’re a good mail stream. They end up in the spam folder, their good customers migrate elsewhere because of “delivery issues” and bad actors move to them because they have a reputation for “not being picky about acquisition practices“. They risk spiraling into wholesale bulk foldering and becoming just a “bulletproof spam-friendly ESP”.
If you’re not improving your practices you’re probably being passed by your competitors who are, and you risk falling behind to the back of the pack.
And your competitors don’t need to outrun the bear, they just need to outrun you.

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Reputation is more complex than a single number

I checked our SenderScore earlier this month, as quite a few people mentioned that they’d seen SenderScore changes – likely due to changed algorithms  and new data sources.

It sure looks like something changed. Our SenderScore was, for a while, zero out of a hundred. That’s as bad as it’s possible to get. I didn’t get a screenshot of the zero score, but I grabbed this a couple of days later:

Are ReturnPath wrong? No. Given what I know about the traffic from our server (very low traffic, particularly to major consumer domains, and a negligible amount of unavoidable backscatter due to our forwarding role addresses for a non-profit to final recipients on AOL) that’s not an unreasonable rating. And I’m fairly sure that as they get their new algorithms dialed in, and get more history, it’ll get closer. (Though I’m a bit surprised that less than 60 mails a day is considered a moderate volume.)
But all our mail is delivered fine. I’ve seen none of my mail bounce. It’s very rare someone mentions that our mail has ended up in a bulk folder. I’ve received the replies I’ve expected from all the mail I’ve sent. Recipient ISPs don’t seem to see any problems with our mail stream.
A low reputation number doesn’t mean you actually have a problem, it’s just one data point. And a metric that’s geared to model one particular sort of sender (very high-volume senders, for example) isn’t going to be quite as useful in modeling very different senders. You need to understand where a particular measure is coming from, and use it in combination with all the other information you have rather than focusing solely on one particular number.
 

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IP Reputation

A throwback post from a few years ago on IP reputation.

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Old Lists and RadioShack

RadioShack is putting their assets up for sale including more than 65 million customer records and 13 million email addresses. Many are up in arms about the sale of personal data including the Texas Attorney General and AT&T who both want the data destroyed.
Part of the controversy is that RadioShack’s privacy policy states the collected data will be only used by RadioShack and its affiliates and that they will not “sell or rent your personally identifiable information to anyone at any time”. Company acquisitions happen all the time and data like this is often sold to the new owner and the sale of customer data is common. The problem with RadioShack selling the customer data is that their privacy policy states they will never sell the information.
RadioShack was one of the first companies to ask for personal information at checkout, sometimes refusing a sale without providing it and the collection of data during checkout caught on quickly. Having demographic information for retargeting of customers is extremely valuable to marketers, but only if it’s valid data. With RadioShack, people often lie about their zip code and if they are giving incorrect zip codes I’m pretty sure their email address isn’t going to be valid either. Even Kramer asks why does RadioShack ask for your phone number…
https://www.youtube.com/watch?v=WgfaYKoQxzQ
If a client asked if this was a good investment and if the list had value, I would tell them no. Sending to this list will have poor delivery because the data is dirty and the lack of a clear opt-in is going to be problematic especially since a RadioShack customer is not expecting to receive mail from you. Many ESPs have policies prohibiting sending to a purchased list and doing so will hurt your relationship with the ESP.
If a client had already purchased the list and wanted to send to it, I would tell them their reputation is going to take a significant hit and I would discourage them from sending. The list is going to be full of domains that no longer exist and contain abandoned email addresses including ones that have been turned into spam traps.
When preparing to send to a new list of email addresses, I go through this process:

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