A tiny change in presentation or different phrase can mark the difference between a highly successful and popular ad and an ad that fails miserably.

The difference between a successful online ad and one that fails is very small. Marketers are still struggling to find a formula that works. One way they are finding out more is through split testing.

Split testing is a sales tactic that tests two different sales pages, keywords, PPC copy and other online sales tools using an equal number of impressions/views to see which one converts more effectively. Split testing is one of the few research tools marketers can use and boy do they use it!

In layman?s terms, split testing is basically taking two different ads with very minor differences and proving which one works more effectively. The minor differences can range from color or size text, to a certain phrase.

The ad campaign will run for a few days. At the end of the campaign, the marketer studies the two ads and breaks down which one was more effective. The marketer selects the more effective ad and then makes another minor change to the ad. Another split test is conducted. This process continues several different times until an ideal ad is discovered.

Eventually marketers will reach an ad that they deem desirable and guaranteed to succeed. The ad will run and marketers will continue to study its success. While the ad continues to run, the marketer will probably run another series of split testing. It?s a never ending process.

Because Internet marketing is in it early stages, much of what we know to do is based more on anecdotes rather than any type of science. Split testing utilizes some science, which is why it?s so popular.

Marketers who incorporate split testing find more conversions than companies that do not. It?s proven to help your sales, so it comes at no surprise that more and more marketers are using this simple approach.

Graham McKenzie is the content Syndication Manager for the splittestmasterguide.com teaching webiste owners how to split test for increased profits.

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