There’s a lot more to the world of web
optimization than SEO and one of the more important areas that’s often overlooked
and left in the wake optimization of Google’s search results, is conversion
optimization.
Conversion optimization is essentially the
structure and design of a site and how well it caters for and motivates users
to convert, sign up or purchase a product. So, how can you improve conversion
rates – well A/B testing plays a large part.
What is A/B testing?
A/B testing is a lot simpler than it
sounds. Essentially, testing involves showing users two versions of the site –
one the original and one a variant with a tweak. These variations are each
displayed to a set number of people and the responses in terms of conversions,
bounce rates and other on-site actions will be logged and evaluated. These
actions or metrics will be set pre-test, with specific ones used and compared
to allow a solid conclusion to be made.
If one conclusion is deemed as offering a
more positive outcome than the other and seems to perform to a better level,
generally a change is made and an implementation takes place.
Customer Needs
A/B testing allows you to quickly get to
grips with the preferences of your niche and allow you to offer the best line
up possible of products or services in the most attractive way conceivable.
Though using specific metrics it’s easier for you to discern what you customer
wants, limiting the incidence of trial and error.
Bounce Rates
If bounce rates are high your conversions
are generally in trouble. If users come to your page and leave just as quickly,
it’s generally a sign that something is wrong and you are not giving the
information leads want. This will of course make for fewer conversions and
sales and so a less successful website. Good A/B testing can lower bounce rates
and encourage people to spend more time on site and convert to leads more
often.
Time
One of the most important things with A/B
testing is to give it enough time. Like any sort of experiment you need a large
enough test to get an accurate result. Testing overnight and garnering
information from only a few results may not provide accurate results. The more
time you run the test the lower the chance of a skewed result.
With A/B testing it’s also possible to test
more than one thing at once. For instance, if you have more than two
variations, then you can perform three separate tests at once – so, A v B, B vs
C and C vs A testing. This may take a slightly longer period of time and is a
little more complex, but can offer better results If you wish to test a number
of variables – this is known as multivariate testing as there is more than an A
and B factor involved.
A/B testing can really make a significant
difference to your bottom line and be of significant benefit to your site and
online work.


