Once we have all the data, it is time to establish possible reasons and assumptions that justify these results, as well as possible ways to improve the conversion rate we want to work on.
For example, a hypothesis would be: customers visit the product pages of my e-commerce a lot, but then they don’t end up buying the items. Considering that I receive many questions via social media about the characteristics of the product, a whatsapp number list possible solution to improve conversion rates would be to improve the product descriptions on the website.
Once you have the hypothesis and how you are going
test it (the what and the how), you what is the difference between b2b and b2c must establish what result would validate said hypothesis . That is, in this context it would be: if by changing the description of all my products my conversions go up by X%, it means that the hypothesis is true. Therefore, you must indicate what percentage would validate the proposal. If this is not true, then your hypothesis would not be correct.
3. Perform tests
Now is the time to take action and test the hypothesis. To do this, there are different types of tests that you can put into practice. However, in the field of marketing, we recommend the following:
- A/B tests are interesting if you are a brand that is just starting out and does not yet have much web traffic. This is because, since A/B tests involve significant changes, a high volume of traffic is not necessary to obtain relevant results. These tests consist of comparing two versions of the same page (the original and the modified one) that differ in a specific, significant element .
- However, if you receive a large volume of traffic to your website, it may be more interesting to opt for multivariate tests , where several aspects of the website are changed instead of just one and compared to the singapore number original. They are also more interesting if you want to test changes that are more radical.
Example of a multivariate test performed on the Cyberclick website.
- Finally, split tests consist of testing two completely different versions of a website, landing page or page, and are useful for making even more radical changes within a hypothesis.
4. Review and continuous improvement
At this point, you will need to analyze the test results and draw conclusions. In other words, you will know whether your hypothesis was correct or not. If it was correct, it is time to propose improvements and changes to be implemented. But if it is not, you will have to go back to step two and re-establish a new hypothesis.
A conversion rate optimization strategy does not just implement the improvement. It must be monitored continuously to ensure that it continues to work over time. Even if the hypothesis was correct at a given time, it does not mean that it will be correct forever.
In this sense, when we see that the hypothesis that was correct at a given moment is no longer correct, it will be time to return to step two.
5 key tools to develop your CRO strategy in marketing
As we mentioned, in the qualitative and quantitative analysis phase you can (and should) use some tools, which will provide you with very valuable information about how users move around your website. Below we will tell you which ones we consider to be the most interesting.
Google Analytics, the most important tool in a CRO marketing strategy
This is the most basic and useful tool for doing analysis on your website. With it you can track and analyse in great detail how users Top 17 Artificial Intelligence behave when they visit your page. It is perfect for quantitative analysis and provides you with information about, for example, the most visited pages, the amount of traffic that reaches your website, the time users spend on the site and, of course, conversions, among many other details.
