58 | Add most important USP's | Mobile

This hypothesis is grounded in the following main psychological principles:

1. Motivation: USP's s are designed to motivate your visitors by highlighting what makes your product, service, or brand unique and superior to competitors. By immediately presenting your USPs, you're addressing potential customer needs and desires. This increases their motivation to engage with your site. This taps into the users' intrinsic motivations, such as the desire for efficiency, effectiveness, exclusivity, or problem-solving.
2. Attract attention: Animate the USPs on the homepage you have the attention of your visitors. They instant understand what you offer without needing to navigate through multiple pages or sections. 

Based on this psychological background, we believe that making the unique selling propositions (USP's) always visible on top of the homepage for mobile users, will cause an increase in online transactions.

The data suggests that a clear display of USP's can positively influence customer behavior, leading to an increase in transactions. This aligns with the psychological understanding that customers are more likely to engage with a webshop that presents its benefits upfront.

General
All A/B tests in Evidoo have been analysed using Bayesian Statistics. The most important advantage of Bayesian statistics is that it is easy to understand. If there is a difference between the control and the variant, we determine the probability that there is a difference. The probability that the variation differs from the control, is indicated in a percentage.

An A/B test labeled as ">80%" (winner), indicates that the hypothesis has a high probability (>80%) of being true.

An A/B test labeled as "21 - 79%" (inconclusive), suggests the hypothesis has an intermediate chance of being true. This probability range indicates that there is still uncertainty regarding the hypothesis. Therefore it can not be clearly categorized as true or false.

An A/B test labeled as "< 20%" (loser), likely represents a hypothesis that has less than a 20% chance of being true. This suggests that the hypothesis is likely false.

If the primairy KPI is ‘transactions’, there is no impact on average order value, unless mentioned in the learnings.

All A/B tests in Evidoo are also analysed on secondary KPIs, for example 'add to carts'. If we found remarkable results on other KPI’s, check the tab 'learnings'. We also analysed different segments, for example 'new visitors' or 'returning visitors'. If we found remarkable results on specific segments, check also the tab 'learnings'.

All conducted A/B tests in Evidoo comply with:
- conducting sample size and power checks.
- performing the experiment only after an A/A test has been completed.
- implementing Sample Ratio Mismatch (SRM) checks.
- maintaining a minimum runtime of 2 weeks.
- measuring A/B tests only when they are visible to the website visitor, such as counting an A/B test in the middle of the product page only if the visitor has scrolled to that point.