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A/B Split Testing
What Is A/B Split Testing
A/B Split Testing is when customers receive a
message, email, or webpage view, and a different
version is randomly served to different visitors
or customers. Typically A/B split testing consists
of two nearly-identical versions of the given
source material, but with each version having
one element that is different. The two "versions"
are randomly served, and tracking tactics are
then used to monitor the resulting actions to
determine which version is most effective in generating
the desired reaction.
What Are The Benefits Of A/B Split Testing?
A/B split testing allows webmasters, publishers,
and marketers to better understand their customer
habits, and to figure out what best motivates
them toward the desired action. A/B split testing
can be used to test different web layouts, sales
copy, price points, graphics, or just about any
other factor that might influence the visitor
or customer.
How Can I Do A/B Split Testing?
A/B split testing can be conducted a number of
different ways. Webmasters will often use web
scripts to randomly serve different versions of
web pages. Alternately, there are third-party
services available that webmasters can use to
conduct split testing on a large scale. Some third-party
solutions and scripts available include:
Third Party Solutions
offermatica.com http://www.offermatica.com
visual sciences http://www.websidestory.com/
SiteSpect http://www.sitespect.com
Vertster - http://www.vertster.com/
Kefta - http://www.kefta.com/
Web Scripts
SplitRunTest - http://www.phpzen.com/split-run-test/
Split Analyzer - http://www.splitanalyzer.com/
How To Know If Testing Is Valid
In order to validate the results of A/B split
testing, the sampling must be large enough to
provide legitimate statistical information. If
the sampling is too small, the data may be inaccurately
skewed for reasons not associated with the factor
being tested.
Only one factor should be tested during A/B split
testing. In other words, do not try to test price
points and web layout at the same time. It is
important to only change one thing between the
two versions of the test copy.
Related Articles:
Keys
to Effective A/B Split Testing
How
Accurate are a Software Developer's Statistics?
Referring Sites
Statistics
Emetrix
Sales Tracking Trends
Days
to Sale
Things to
A/B Split Testing
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