Know about the Ways to Avoid Some Common Mistakes in Your CRO Projects
For those who work in CRO (Conversion Rate Optimization) and UX testing projects, it is a common issue to get confused due to excess information. This information is related to metrics, reports, implementation, testing platforms, and formulation of hypotheses.
CRO mistakes that you should avoid
1. Improper testing schedule: Timing of conducting the test is important, as also the timeline for various phases like designing,launch, results, etc. Ideally, the tests for SaaS should not be conducted during holidays or vacation seasons when most of the target group would not access the websites. You may get results that are not reliable.
2. Lack of information about the project: You need to have a clear understanding of the objective, goals, KPIs (Key Point Indicators), and
the project’s desired results to make the project successful.
3. Ignoring micro-details
These details range from observing form-fillings, clicks, etc. For example — if you are working with an e-commerce website and would like to analyze customer behavior, you can track details like:
a) products added to cart and discarded
b) number of visitors viewing the product pages
c) visitors who surf through all the pages of your website
d) individuals who have created accounts
4. Inadequate sample size
A/B testing or split testing deals with comparing different variants of website visits to understand what leads to more conversions.Now, this A/B testing would not give you accurate results if it is conducted on a page or website which attracts a low volume of visitors. This testing requires large data. So, you can wait for the page to receive the desired high volume of visits. Till then, it would be better to put the test on hold.
5. Faulty interpretation of test reports
A proper understanding of the test reports is important to check whether all the goals have been achieved. A decision can be taken if all the desired results are obtained. Overemphasis on a particular aspect and ignoring others is not proper. The best method would be to segment the entire target population into different groups, study the details and results of different segments of the target group and then arrive at a decision.
