A / B Split Testing

A / B Split Testing

Supercharge Your Web Site Conversions:

A / B Split Test Example

Small changes to your web site content can have BIG results. The example above shows a 187% increase in conversion rate from testing variations of two alternative pages against the (A) Control Page. Discover what versions of your web site will have the greatest effect on your visitors through A / B Split Testing or Taguchi Multivariate Testing. Start realizing higher sales, more repeat visitors and overall more ROI by giving your visitors exactly what they are looking for the first time they come to your web site.

Most Web Site’s Fail to Convert Visitors!

Conversion Rates Less Than 4 Percent

Lower than 4% is the average for ALL web sites. Many web sites convert less than 2% of visitors. With A / B Split Testing, your web site’s conversion rates will climb into double digits. As the number of visitors climb from Search Engine Optimization, we test variations of your pages against each other. This provides clear cut data showing exactly what is working and what is not, which ultimately means your web site will convert more visitors into sales, leads & repeat visits.

How A / B Split Testing Succeeds at Growing Your Site’s Conversion Rate:

First a control page is setup as a base for the A / B Split Testing.

A / B Split Test Control Page

Then variations of your offer / promotion / product etc. are created.

A / B Offer Test Samples

This A / B Split Testing is done repeatedly, for multiple elements of your web pages.

A / B Split Test Page Elements

Guess work is taken completly out of what is working on your web site and what is not. Data is collected and shows what your visitors are responding to and what they are not.

A / B Split Test Results Data

Based on this data, a clear choice is presented on what page version / offer is the most successful at converting your visitors into sales, leads & repeat visits.

A / B Split Test Test Results

Taking Our A / B Split Testing to Even Greater Success - Behavioral Targeting:

The above demonstration is just the beginning of what can be done. Imagine not only finding the most successful versions of pages, but if every time a visitor came back to your web site, they saw exactly what they wanted. Based off previous visits / purchases, you will be able to show Highly Relevant web site content to each one of your visitors. When first time visitors to the Musician’s Friend site click a Category such as Guitar, Bass, Drums, it is assumed that they are a Guitar Player, Bass Player or Drummer. Because these are presumed to be fairly static affinities (e.g., Guitar Players don’t generally become Drummers), Musician’s Friend stores the self-selected category as a profile and uses it to orient the site towards that category.

Behavioral Targeting - Home Page Relevance

Subsequent visits to the Home Page will show a display relative to that Category interest. Results: Results varied dramatically by Category, with as much as an 82% increase in engagement, as measured by click-throughs from the home page and as much as a 28% increase in conversions. Next Steps: Future directions are to allow category merchants to further optimize category affinity home pages for their audiences to identify the optimal price points and product display


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