5 Must Use Steps To Split Test in Shopify
Split testing is generally a highly recommended practise for online website owners when it comes to gauging overall performance at low risk levels. In order to accurately plan out the next step to undertake, one must first retrieve accurate results. Here are 5 steps you must be careful to perform when it comes to split testing in Shopify Ecommerce stores:
1. Understanding Obstacles
Before beginning with split testing in Shopify, it is important to know the obstacles one may face and do your best to bypass them. Some of the challenges when it comes to split testing in Shopify is that a good number of testing tools usually set first party cookies that are associated with Shopify store domains. Browser restrictions can cause cookies to not exist outside of the user’s domain, which would affect the split testing tool’s ability to link back when visitors are converted. Browsers who block third party cookies, multi device swapping and ad blockers can also affect the overall results.
2. Prioritise
Make sure you know what to optimise and balance out between what you think is most likely to generate profit, and what is closest to the current payment. Consider the cost it takes for development, work backwards to figure out what elements your clients will be likely to engage. Consider the cost of loss in profit in order to match up with development. Based on research, what other methods can you resort to in order to boost conversion? Once you have figured out your general direction, you are ready to configure a split test in Shopify.
3. Configure
Use a split testing tool that is effective for Shopify- some possible recommendations are VWO ( visual website optimiser), Optimizely, and Convert Experiments. Feel free to test out different split testing tools and compare your final results. Configure your test settings, set up your prioritised goals and integrate it with an analytics tool like Google Analytics so the results can be tracked and easily monitored.
4. Integration
Integrating to data analysis tools like Google Analytics is ideal for analysing data since segmentation can be used to gauge performance. You will be able to monitor different segments and make better informed results by using a sleep analytics set up and retrieving clean data. Apart from ecommerce tracking, you will also need to take care about keeping spam hits out, tracking multiple device customers, spot full funnel processes, and cross-domain track.
5. A/B test
Once you have finished all steps above, you will be read to behind the A/B test. Make a control URL first and use it as (variation one) URL. Then enable the supporting of regular expressions but make sure to exclude pages where query strings contain unnecessary information. Make sure you’ll also take the time by checking that the convert experiments code is in the liquid file for your duplicate theme.
