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Create free accounteveryone this is the Barak from the marketing team at tengen and this is Kana from customer success team at tenjin I service European and Middle Eastern customers to scale their app and today we will be discussing cohorted versus non-coherited Revenue metrics um so thank you for being here at Ghana I'll get to the first question what are non-coherited metrics and how are they calculated yeah so this is a common question that we received so non-coverted metrics are basically especially non-coverted Revenue metrics there are three kinds ad Revenue IEP revenue and total revenue ad revenue is what you make from showing ads IP revenue is in-app purchases and the total revenue is the sum of AD Revenue plus IP Revenue so you can see on our dashboard here is AD revenue and then IP Revenue until revenue and like I said uh
total revenue is the sum of these two uh you can see the app level and then address that Network level and then the campaign level also studied and keyword level all broken down and allocated and what are cohorted metrics and how are they calculated yes so Quantum metrics is a little bit different than ad revenue or uh non-covered metrics uh it usually looks something like x-day ad Revenue L to be x-day Revenue will also be per user and this is the cumulative ad Revenue um X days after install so that means that they all have something in common like the date of install um and XD IP Revenue will to be used the same thing except for in-app purchases the total revenue um or the cohort of metric is going to
be the sum of Ip and AD revenue of the metrics and also you can see here the per user metrics is also very useful and this is simply divided by the user the cohort metric and how are cohorted and non-coherited metrics different from let's say Ad revenue or total revenue metrics yeah so there's a little bit of a difference um so let's say on March 27th the ad revenue is hundred dollars so uh the ad Revenue metric will signify that um you will receive hundred dollars for this day from your ad Network Administration Network specifically um so it can be ad Revenue that's coming in from a user that installed one year ago or even yesterday so it doesn't make any distinction but the Seven Day ad Revenue also be per user metric will only specify like users who have been using your app for seven days and put
this in this group if you look at this on the dashboard you can see 7 14 and up to 180 days uh IPL to be Edge Revenue per user metrics and this is also broken down into channels campaigns and society and keywords level and um yeah you can make all kinds of dashboards that you that's stood to your needs thank you and I'm wondering how do companies use these metrics uh so the use cases are usually about the non-covered revenues it's accounting based and also for cash flow planning overview purposes so for example the ad Revenue metric is going to show you how much the monetization channel owes you for that
particular day and then just as an overview the success of that channel while the cohort Revenue usually tells you about profit profitability so if you aim to Benchmark and making money back on day seven so you can compare Seven Day ad Revenue to be per user metric to CPI and then this will tell you that you are making your money back in seven days or not great uh thank you Ghana those are all of my questions for today and thank you everyone for listening if you do have more questions on cohorted versus non-cohorted metrics please leave a comment on this video or reach out to us directly at support tension.com
Non-cohorted and cohorted revenue metrics serve distinct analytical purposes in mobile app performance measurement, primarily differentiating between aggregate cash flow and user-level profitability. Non-cohorted metrics represent the total revenue generated by an app on a specific calendar day, regardless of when the users involved originally installed the application. These metrics encompass three primary categories: ad revenue, in-app purchase (IAP) revenue, and total revenue, which is the sum of the two. Because these figures are not tied to an install date, they are best utilized for accounting purposes, cash flow planning, and assessing the general performance of monetization channels.
In contrast, cohorted metrics group users based on their specific install date, allowing for the calculation of cumulative revenue generated over a set period, such as seven, 14, or 180 days post-install. These metrics, often expressed as revenue per user, provide a precise view of user lifetime value (LTV) and profitability. By comparing these cohorted figures—such as seven-day revenue per user—against the cost per install (CPI), developers can determine if and when they are recouping their acquisition costs.
While non-cohorted metrics offer a broad overview of daily earnings across various network, campaign, and keyword levels, cohorted metrics provide the granular insight necessary for benchmarking and strategic growth. By distinguishing between revenue that reflects immediate daily intake and revenue that tracks the long-term value of specific user cohorts, mobile app businesses can better optimize their marketing spend and evaluate the long-term sustainability of their user acquisition strategies.
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