App users who generate great app revenue by watching and engaging with the ads. Users that click on advertising in your app and then install additional apps from the ad are known as ad clickers (or ad clickers). These users are similar to those who make purchases through your app and account for most of your revenue. Ad whales will pay hundreds of dollars a month for a game, depending on the app. Using methods like in-app messaging and push notifications, you may enhance the likelihood of your advertising being seen by ad whales.
In-app advertising follows the industry norm of disclosing aggregated and averaged ad revenue statistics. Ad revenue data cannot be linked to user acquisition sources or appropriately segmented because of this. In-app ad revenue is dispersed evenly among the user base because the information they get has been pooled across the entire network. A small subset of "ad whales" are responsible for the vast majority of this traffic. These ad whales account for as much as 80% of a mobile app’s advertising revenue. It also implies that marketers are just as blind to ad whales as consumers who are fast to ignore the advertising and will leave if they receive an excessive number of them. This has a prominent effect on ARPU (Average Revenue Per User) and LTV (LTV).
These flaws in your analysis could lead to unwise choices. Chasing the wrong consumers or focusing too much on initiatives that don’t deliver the expected results is a waste of time and money. Furthermore, audiences or user segments selected primarily on profitability may be more vulnerable to concerns with accuracy.The amount of money spent on in-app advertising may rise, but the outcomes are stagnant. Instead of chasing whales, marketers should focus on finding valuable customers who have a voracious hunger for ads.