You have the necessary resources to take a test
Dec 5, 2023 0:03:18 GMT -8
Post by account_disabled on Dec 5, 2023 0:03:18 GMT -8
Those are phrases that don't exist within a Growth team: actions need to be based on data, not assumptions. Therefore, no idea is bad until proven otherwise, and as long as it does not put your business at risk. Because, in addition to learning from mistakes and documenting them so that they are not repeated, you will find the best opportunities through ideas that seemed obvious (or obviously a mistake). Record your experiments I don't know how many people joined our team in the last 2 years and how much our structure changed.
Very likely that, especially with Growth, that will Phone Number List happen to you too. Thus, registration is important so that people do not repeat tests that already went wrong, or that already worked but now do not. Measure your results and cross-reference the data The first aspect is obvious: you will only know if your action worked well once you can calculate your results, such as ROI and CAC . However, isolated data says totally different things than cross data. For example: " this experiment X has been very good.
Very good in relation to what? Was it better than stock Y? Ok, it generated more sales, but what was the cost? Therefore, analyze the results of each action and make comparisons with others that have already been carried out. And once again: that will only be possible if you have everything registered. Make quick mistakes Cliché, right? But it is very common for Marketing professionals to insist on error, especially if it is a trend, or when they become obsessed with an idea and continue to replicate it, even without generating any results.
Very likely that, especially with Growth, that will Phone Number List happen to you too. Thus, registration is important so that people do not repeat tests that already went wrong, or that already worked but now do not. Measure your results and cross-reference the data The first aspect is obvious: you will only know if your action worked well once you can calculate your results, such as ROI and CAC . However, isolated data says totally different things than cross data. For example: " this experiment X has been very good.
Very good in relation to what? Was it better than stock Y? Ok, it generated more sales, but what was the cost? Therefore, analyze the results of each action and make comparisons with others that have already been carried out. And once again: that will only be possible if you have everything registered. Make quick mistakes Cliché, right? But it is very common for Marketing professionals to insist on error, especially if it is a trend, or when they become obsessed with an idea and continue to replicate it, even without generating any results.