Nobody likes e-mail SPAM except the spammers who hope to convert .01 % into sales. Unfortunately, the cost to send out an email is very low and thus any ratio is decent even in some cases .001% and that’s the problem. Okay so, let’s talk shall we?

Much of the nonsensical SPAM we get comes from smaller operators who do not have the convenience of Artificial Intelligent software or high-probability algorithms. How do we know this is a fact? Simple, if you are a woman and you get Viagra or Anti-Baldness SPAM or if you are a man and get breast enlargement or Sports Bra SPAM. These smaller companies use scrapers and buy old email lists with little regard to your buying habits. Larger companies use targeted SPAM which to us often doesn’t seem like SPAM because we are actually interested.

What if the smaller companies that sent out SPAM had better access to targeted algorithms to help them find the best customers? Then they’d use that software and we’d eliminate a good chunk of all SPAM and thus, save bandwidth for all and clear out most of our junk email boxes.

After all, if your salesy emails are apropos to your needs, wants, desires and purchasing choices then all of a sudden it doesn’t seem like SPAM anymore does it? Now then, a company that is only getting.001% conversion rates on a mass e-mail campaign probably doesn’t have enough money to use Big Data or get a sophisticated computer nerd to write them the ultimate Spamming Algorithm.

So, what if someone licensed these tools to the littlest of home-based businesses, and if they abuse them, they can no longer use them? You see, we need a real world solution and we need to rethink the problem, because we still have a challenge with spamming and even though there are laws against it, enforcing those laws is nearly impossible. Bill Gates had suggested long ago that “micro-payments” for emails sent would solve the problem, because even if the cost was low per e-mail sent, operators couldn’t afford to randomly send the SPAM, instead they’ve have to be selective.

Being selective means, having a decent e-mail list and checking it twice, updating it, and making sure anything sent was properly targeted otherwise you’d go broke trying to send out mass e-mails. My solution above also has a free-market cost-benefit theme to it. Maybe it is a nice business model for Big Data to capture new small business clients in bulk and if so, that could eliminate 50% of the SPAM. Think on this.

Source by Lance Winslow