Post by account_disabled on Jan 23, 2024 10:29:44 GMT
App Annie, Sensor Tower, iTunes Connect Conversion Funnels, User Segmentation: Mixpanel, Google Analytics Cohort Analysis: Mixpanel User Accounts: Fire Base Growth Accounting: iTunes Connect, Google Spreadsheet, saját Dashboard Email: Elastic Email Owned channels, Website: Web flow, Bitbucket Partnership: cooperation with Apple We use them because they help, support some process, or support the tests we run with data. Among these, many box combinations can be created. To understand what this entails, let's look at a simple practical example. Let our task be to bring in new paid users through a Facebook ad. It sounds simple, but if you walk through the process, you will see that it can become quite complex. So how are we doing? What do we want to measure? With what tool can we do that? Consider scenarios.
ad We post a traditional Facebook ad. We produce a Industry Email List total of version. We don't AB test. But we want to measure its effectiveness. Here we connect the following layers and boxes: Channel: Social Acquisition: Performance Marketing Facebook advertisement Analitika: Campaign Measurement It can be seen here colored in green: facebook-ad- Advertisement But what if we need more information? What if we want to know that: How many people installed the app from the campaign? How many of them later opened the app again? How much did they crumble? How many of those who became users from.
This Facebook advertising campaign made a purchase? If we targeted different segments say - and - year olds, which one performed better? How did this campaign perform compared to months ago? If we also want answers to these questions, the previous boxes will no longer be enough. We need to turn on more. During a complete campaign, I would start from the following sequence of steps: Let's post - ads and see which campaign copy performs best for a few thousand forints. This requires an AB test, which Facebook helps with. We want to achieve app installs in the FB campaign. Here, let's use a device that is capable of install attribution, that is, it can provide additional information about app installations.
ad We post a traditional Facebook ad. We produce a Industry Email List total of version. We don't AB test. But we want to measure its effectiveness. Here we connect the following layers and boxes: Channel: Social Acquisition: Performance Marketing Facebook advertisement Analitika: Campaign Measurement It can be seen here colored in green: facebook-ad- Advertisement But what if we need more information? What if we want to know that: How many people installed the app from the campaign? How many of them later opened the app again? How much did they crumble? How many of those who became users from.
This Facebook advertising campaign made a purchase? If we targeted different segments say - and - year olds, which one performed better? How did this campaign perform compared to months ago? If we also want answers to these questions, the previous boxes will no longer be enough. We need to turn on more. During a complete campaign, I would start from the following sequence of steps: Let's post - ads and see which campaign copy performs best for a few thousand forints. This requires an AB test, which Facebook helps with. We want to achieve app installs in the FB campaign. Here, let's use a device that is capable of install attribution, that is, it can provide additional information about app installations.