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Derive measures - what can be improved?

Posted: Thu Jan 30, 2025 3:17 am
by Mitu100@
Let's assume that the online shop was able to discover in the first step that most potential customers actually only abandon the site during the payment process. It is then necessary to analyze why this is the case - as described earlier, this could be the lack of a guest order option. One course of action here would be to offer such an option. Two further examples of optimization for other types of conversion would be the following:

Newsletter registration: There is afghanistan telegram screening a lot of traffic on the site, but only a few users sign up for the newsletter . Here, the newsletter could be highlighted more visually, e.g. using a pop-up or contrasting colors for the corresponding CTA.
Registration for a product sample: The CTA “Try it now” is already clicked frequently, but the number of conversions is low. This could be because too much personal data is requested from users and the barrier to entering data is simply too high. One measure that could be taken here is to reduce the amount of data requested.
Step 3) Build prototypes - create alternatives

In the third step, the solutions from the second stage are then built. For newsletter registration, as mentioned, this can be a new CTA “ Subscribe to free newsletter now ”, which draws attention to itself in contrast to the banner that was previously displayed in the meantime. In the second example, registration for a product sample, a second version of the same page is set up, but this one asks for less data from the user.