Playing Field for Small Business Spammers

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

Much in the nonsensical SPAM we obtain comes from smaller operators that do not have the capability of Artificial Intelligent software or high-probability algorithms. How do we know it is a fact? Simple, an advanced woman so you get Viagra or Anti-Baldness SPAM or if you’re an man and acquire breast enlargement or Sports Bra SPAM. These smaller companies use scrapers and get old subscriber lists with little regard for your buying habits. Larger companies use targeted SPAM which to us often doesn’t look like SPAM because we have been actually interested.

What when the smaller firms that sent out SPAM should access to targeted algorithms to assist them find the best customers? Then they’d use that software and that we’d eliminate a fantastic chunk of the SPAM and therefore, save bandwidth for everyone and drive out most of our junk email boxes.

After all, should your salesy emails are apropos on your needs, wants, desires and buying choices then instantly it doesn’t look like SPAM anymore will it? Now then, a corporation that is only getting.001% conversion rate on a mass e-mail campaign probably doesn’t need enough money to utilize Big Data or receive a sophisticated computer nerd to create them the final Spamming Algorithm.

So, let’s say someone licensed power tools to the littlest of home-based businesses, and when they abuse them, they could no longer utilize them? You see, we’d like a real world solution and we end up needing to rethink the challenge, because we continue to have a challenge with spamming although there are laws against it, enforcing those laws is practically impossible. Bill Gates had suggested sometime ago that “micro-payments” for emails sent would solve the situation, because even if the charge was low per e-mail sent, operators couldn’t afford to randomly send the SPAM, instead they’ve ought to be selective.

Being selective means, creating a decent e-mail list and checking it twice, updating it, and making certain anything sent was properly targeted otherwise you’d go under trying to deliver out mass e-mails. My solution above also offers a free-market cost-benefit theme with it. Maybe it is just a nice business structure for Big Data to capture new small enterprise clients in bulk in case so, that can eliminate 50% with the SPAM. Think on this