Avoid key A/B testing mistakes in 2022 to ensure your website remains updated and attracts a huge number of leads. . Optimiser is a comprehensive CRM solution company for businesses. AI-enabled automation with the power of one platform efficiently navigates through a large amount of data at an affordable cost. Learn more about Optimiser: https://www.optimiser.com/

1. How to Avoid A/B
Testing Mistakes in
2022?

2. Introduction
A/B testing is experimentation where two
or more versions of the website or mobile
app are presented to users, at the same
time, to determine which version is more
likely to engage them and drive business
growth. It allows businesses to understand
gap in consumers' journey and bridge
those gaps efficiently.

3. A/B Testing mistakes
you should avoid in
2022

4. Use an A/B Testing tool
A/B testing tools allow businesses to identify
what will work for them and what not, leading
them to make data-driven decisions
Individual perspectives are different from data-
driven decisions. With A/B testing tools,
businesses can understand those perspectives
and boost conversion rate

5. Stop following 'Must-follow'
advice
What has worked for other businesses does not
guarantee that it will work for your business too
Businesses need a strategy that is built
specifically for their unique business needs

6. Form a hypothesis
When you are about to make a change to
your website or mobile app, there should be
a valid reason for it
It is important to analyse the conversion
funnels to gain insights into the website or
app performance

7. Do not run too many tests and
variations
Do not run too many tests and variations as it
slows results and reduce sample size
Instead opt for multivariate testing or split URL
testing to avoid traffic from overlapping. It is
recommended to run planned tests for faster
results

8. Do not copy-paste your results
Simply put, if a technique is working for the
homepage, do not copy-paste them to other
webpages
Use testing case studies as a starting point to
develop your A/B testing strategy. Every test
result will be specific to the experiment