Spamming the wrong person
Chris from Cloudmark tracks a UK text spammer.
Chris from Cloudmark tracks a UK text spammer.
In an effort to get a blog post out yesterday before yet another doctor’s appointment I did not do nearly enough research on the company I mentioned selling list cleansing data. As Al correctly pointed out in the comments they are currently listed on the SBL. And when I actually did the research I should have done it was clear this company has a long term history of sending unsolicited email.
Poor research and a quickly written blog post led to me endorsing a company that I absolutely shouldn’t have. And I do apologize for that.
With all that being said, Justin had a great question in the comments of yesterday’s post about data cleansing.
Much like every other day, I got some spam today. Here’s a lightly edited copy of it.
Let’s go through it and see what they did that makes it clear that it’s spam, which companies helped them out, and what you should avoid doing to avoid looking like these spammers…
Return Path have an interesting post up about content filtering. I like the model of 3 different kinds of filters, in fact it’s one I’ve been using with clients for over 18 months. Spamfiltering isn’t really about one number or one filter result, it’s a complex interaction of lots of different heuristics designed to answer the question: do recipients want this kind of mail?
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