Post by account_disabled on Oct 26, 2023 14:47:17 GMT 9
The quantity of inconclusive results will be high, so it is worth generating a large number of experiments in order to obtain some that can be clearly and perhaps positively evaluated. The other big assumption is that growth is generally achieved by a sum of small growths, due to different experiments. There is hardly a stroke of genius in reality we are probably talking about a stroke, yes, but certainly not of genius whereby a single experiment leads to exponential growth. As you progress with optimizations, growing becomes more and more a matter of details. Now that we know the truth, we can proceed.
The growth hacking cycle consists of phases Data Discovery and Analysis ea photo editing servies generation Prioritize experiments Real experimentation Obviously it is a circle, so once the Experimentation phase is over we return to the Analysis phase and start again from the beginning the circle must be organized and managed by the team through a weekly meeting of about an hour in which the results are evaluated and we dece what to proceed with in the coming week. Let's briefly look at the phases. Data Discovery and Analysis It's actually phases in one.
Discovery is centered in this case on entifying and diversifying the behaviors of those who are our customers those for whom our product is a top product from those who perhaps have it but don't use it. At this stage my objectives are What are the characteristics of my top clients What are their behaviors digital and otherwise that entify them compared to other less engaged customers What are the events that lead to the non-use of my product Yes, because as we saw in Jobs to be Done and in the study of the forces that regulate purchasing behavior , even non-use must be studied and proves important information. I was saying that they are phases in one.
The growth hacking cycle consists of phases Data Discovery and Analysis ea photo editing servies generation Prioritize experiments Real experimentation Obviously it is a circle, so once the Experimentation phase is over we return to the Analysis phase and start again from the beginning the circle must be organized and managed by the team through a weekly meeting of about an hour in which the results are evaluated and we dece what to proceed with in the coming week. Let's briefly look at the phases. Data Discovery and Analysis It's actually phases in one.
Discovery is centered in this case on entifying and diversifying the behaviors of those who are our customers those for whom our product is a top product from those who perhaps have it but don't use it. At this stage my objectives are What are the characteristics of my top clients What are their behaviors digital and otherwise that entify them compared to other less engaged customers What are the events that lead to the non-use of my product Yes, because as we saw in Jobs to be Done and in the study of the forces that regulate purchasing behavior , even non-use must be studied and proves important information. I was saying that they are phases in one.