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Tag: filters

4 things spammers do legitimate marketers don’t

I’ve never met a spammer that claims to be a spammer. Most that I’ve met claim to be legitimate marketers (or high volume email deployers). But there are things spammers do that I never expect to see a legitimate marketer doing. I’ve written about these things throughout the blog (tag: TWSD), but it’s probably time […]

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What to do when an important email bounces

Some emails are more important than others. I know, I know, all emails are important, but really, some are more important than others. I’ve recently been decluttering by the simple expedient of enrolling in paperless statements for some of our accounts. We have a 1TB NAS, I’m not going to run out of storage space […]

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Thoughts on Gmail filtering

Gmail has some extremely complex filters. They’re machine learning based and measure hundreds of things about incoming mail. The filters are continually adjusting to changes and updating how they treat specific mail. One consequence of continually adjusting machine learning filters is that filtering is not static. What passes to the inbox now, may not pass […]

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When spam filters fail

Spam filters aren’t perfect. They sometimes catch mail they shouldn’t, although it happens less than some people think. They sometimes fail to catch mail they should. One of the reason filters fail to catch mail they should is because some spammers invest a lot of time and energy in figuring out how to get past […]

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Language as filtering criteria

A few months ago I was working on a delivery audit for a client who sends mail in multiple languages. We discovered that the language of an email has a significant delivery impact. The same email in different languages was delivered differently, particularly at Gmail. Emails in a language I don’t normally receive email in were […]

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AHBL Wildcards the Internet

AHBL (Abusive Host Blocking List) is a DNSBL (Domain Name Service Blacklist) that has been available since 2003 and is used by administrators to crowd-source spam sources, open proxies, and open relays.  By collecting the data into a single list, an email system can check this blacklist to determine if a message should be accepted […]

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Email problems are costly

Last week Zulily released their quarterly earnings. Their earnings’ report was disappointing, resulting in a drop in their stock prices. The chairman of the company told reporters on a conference call that part of the reason for the drop in earnings were due to deliverability problems “at a large ISP.” Zulily ran into problems with a […]

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ISP filters are good for marketers

A throwback post from 2010 Attention is a limited resource. Marketing is all about grabbing attention. You can’t run a successful marketing program without first grabbing attention. But attention is a limited resource. There are only so many things a person can remember, focus on or interact with at any one time. In many marketing […]

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Content based filtering

Content filtering is often hard to explain to people, and I’m not sure I’ve yet come up with a good way to explain it. A lot of people think content reputation is about specific words in the message. The traditional content explanation is that words like “Free” or too many exclamation points in the subject line are […]

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Ever changing filtering

One of the ongoing challenges sending email, and managing a high volume outbound mail server is dealing with the ongoing changes in filtering. Filters are not static, nor can they be. As ISPs and filtering companies identify new ways to separate out wanted email from unwanted email, spammers find new ways to make their mail […]

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