Split Testing, (maybe sometimes called A/B
testing), is a method of testing your marketing and advertising method to
research and discover the best methodology which will result in the best in the
actions you require, usually ultimately the best Return
On Investment
Sales
Copy testing examples could help answer questions such as which is best
for your service or product. Is it better to use the terms for example New Product Release, or Latest Product Release,
or Hottest Product Release.
Pricing Policy testing examples; could help answer questions such as which is
best for your service or product. Is it better to use for example 25% 0ff, or $10 off, or free
postage.
Advice: Could be of useful if you have the
budget and visitors at a level where you may analyse the results. It should be
possible to purchase the results form other Split Test for a similar product or service
such as yours. It would usually incur a higher budget because you would be
required to promoter more than one method at once or to purchase the results of similar
split test. Purchasing the results of similar
split test may only give you an idea or starting point from which to carry out
further research.
There are other methodologies that may be used in
conjunction with Split Testing.
Web Site
Optimiser. Google’s free web site testing and
optimisation tool, allows you to increase the value of your existing web sites
and traffic without spending a penny. Using web site Optimiser to test and
optimise site content and design, you can quickly and easily increase revenue
and ROI, whether you’re new to marketing or an expert. Carry out A/B testing
etc... More Google Information
Most people understand that testing is important,
but as Conrad Saam of Avvo tells
WebProNews, properly testing is the only way to get successful
results. According to him, one of the biggest mistakes that SEOs make is
that they rely too heavily on averages. Saam says that everyone
within a business needs to be on the same level with statistics. If they
are not, smart decisions cannot be made.
He advises SEOs to conduct a Binary Test. In
medical terminology, this would mean that a patient either lives or
dies. In other words, there is no middle ground between the two. Saam
says online calculators are very helpful since they provide users with
the required sample size for testing. To utilize these calculators, he
suggests doing a Google
search for an A/B calculator for confidence intervals.
The second test Saam recommends is a T-Test. This
test consists of an array of data with some variability associated with
it. In SEO, he says this test could be a ranking improvement of
1-10 or 1-100. A T-Test gives users the statistical confidence level
based on two different collections of data, which determines if “A” is
better than “B.” Avvo
uses Excel to conduct this test.
Although some people believe that more tests are
needed, Saam doesn’t necessarily agree. For example, he says what
happens if you survey 20 people and find that the 10 men surveyed are 4′
taller than the 10 women surveyed? If this were true, most people would
feel comfortable saying that men are taller than women. However, if the
survey found that the men were 4″ taller than the 10 women, then people
would be less comfortable saying men are taller than women.
“Depending on that variability on the data, you need different levels of
sample size to have confidence in your decision,” says Saam. Is
your testing helping you make smart decisions?
Ubertags are snippets of code that integrate content or functionality into a website. They’re used for web analytics, conversion tracking, A/B testing, live chat, surveys, widgets, ads, videos and more. A Tag Management System taht helps lowers tech costs associated with tagging and improves core page load times. More Website Statistics Links and Page Load Time Links
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