MAP THE USER FLOW AND RUN SMALL TESTS
Now conversions should be increased across the funnel to boost results on the bottom line. For example, say that from a certain number of people who see a message online, only a few percent of them click. And of those who click, only a few percent go on to buy. In this last step, there is not much data to go on as these are far too few individuals. But every individual at this stage is valuable because they are so close to buying. Here, it is important to make the process or app smoother and reduce dropouts that occur close to the purchase decision.
By analyzing and interpreting the data that still exists, the problem should try to be seen from the customer’s perspective. Start testing hypotheses on a small scale. Informed hypotheses and small quick tests are just fine for finding the bottlenecks where customers get stuck.