We’re working on an experiment in the MailChimp Lab to help us automatically detect when someone’s about to send something too spammy from MailChimp (no, this is not what the supercomputer is for). We’re using Cloudmark, Barracuda, and Spam Assassin (and possibly Postini in the near future). We picked those, because they’re the most commonly used—and vexing—spam filters.
We’re not planning to expose any secret formulas, or help customers “get around spam filters.” It’s more of a behind-the-scenes, “big brother” tool to help us catch exceptionally bad campaigns before they get sent. That’s the idea, at least, and we’re not sure when this’ll go live.
For now, we’re doing research. We’re currently scanning a few hundred thousand campaigns sent through MailChimp over the years, to see how many “false positives” we might trigger.
In the process, we’re uncovering a lot of innocent mistakes made by senders, plus a few surprises.


