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But this formula doesn't take into account the fact that false positives cause more trouble than false negatives--a false positive usually means a person doesn't know he or she has received a legitimate e-mail, because it's stuffed in a spam folder somewhere or, worse, deleted sight unseen. So we developed for our testing a weighted accuracy rating that treats false positives as five times more expensive than false negatives. Plug in any number you like or treat false positives and false negatives the same, but just make sure your definition is rigorously applied so you're comparing apples to apples.
The price you must pay to rid yourself of the spam menace is the other main consideration. If you're like us, you hate to spend even an iota of time or money on a technology problem that isn't of your own making and that won't add a single hard dollar to your bottom line. But there's no way around it, so consider implementing an antispam solution as cost avoidance. Your goal should be to buy the best product for the job for the least money possible, and limit the resources you devote to implementation and upkeep. Prices for the products we tested ranged from $0.27 to $34.13 per user per year, and we found that more money doesn't necessarily buy greater accuracy.
If you have the time and technical chops to set up a system and run it without formal support, open-source antispam offerings are available. We recommend SpamAssassin (au.spam assassin.org) and SpamBayes (spam bayes.sourceforge.net).
Time spent researching and testing before implementation is time well spent--if you're focused on what's important and have a good understanding of your needs. Here are some questions to consider:
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