Growth Genius

In the fast-paced world of mobile apps, the traditional methods of growth, heavily reliant on marketing and sales, are no longer sufficient to stand out in a crowded marketplace. The rise of product-led growth (or PLG, for short) offers a new paradigm, where the product itself is the primary driver of user acquisition, retention, and expansion. #growthgenius #appmarketing #productledgrowth #useracquisition #mobilemarketing #ltv #retention

What exactly should you be looking for when choosing the right solution for your needs? Let’s dissect the different types of incremental analysis to understand their nuances. 1. Causal inference Uses statistical techniques to isolate the causal impact of marketing by comparing treated and control groups through synthetic control groups or other models. Pros: Provides clear, accurate causal relationships. Accounts for external factors, making it highly reliable. Cons: Complex to implement and often requires the support of advanced data science teams.* Can be costly due to the resources needed to set up and analyze results. 2. A/B testing A/B testing involves randomly assigning users into a control group (not exposed to ads) and a treatment group (exposed to ads), then comparing outcomes. Pros: Simple and easy to understand. Effective for isolating the direct impact of a campaign. Cons: May not account for external variables (e.g., seasonality, other campaigns). Requires a clear division of users, which can be difficult for smaller apps. 3. Budget holdout A portion of the marketing budget is withheld from certain regions or groups to act as a control, while the rest receive the full campaign. Pros: Allows for a clear understanding of the impact of increased or decreased marketing spend. Cons: Requires significant resources to run efficiently. Results may be skewed by other concurrent campaign. 4. Geo-lifting Geo-lifting Involves dividing geographical regions into test and control groups to measure the impact of marketing efforts in specific areas. Pros: Can be implemented quickly for large-scale campaigns. Useful when user-level tracking isn’t possible. Applicable to region-specific sales strategies in industries like retail, telecommunications, etc. Cons: It requires a very heavy lift upfront to implement, as a large amount of detailed knowledge, including demographics, market size, prior market performance, and more, is needed for each region. External factors (e.g., regional trends, competitors, etc.) can distort results. Less accurate in isolating the true effect of marketing, especially when factors like organic growth are not considered. Despite the significant resource investment required, the outcome is often limited to broad insights with reduced accuracy. Whether you’re fine-tuning user acquisition strategy or maximizing your marketing budget, the ability to accurately measure the incremental impact of your efforts is crucial. Incremental analysis doesn’t just improve short-term performance; it also provides long-term benefits. Marketers can use it to avoid cannibalizing organic traffic and ensure that their paid efforts are generating truly beneficial results. But keep in mind–choosing the right method is critical! #appgrowth #incrementalitytest #incrementalityanalysis #incrementalitymethos #mobilemarketing #uplifttesting #useracquisition #growthgenius

Users are spending most of their time outside of walled gardens, presenting a tremendous growth area. Do not miss it! #growthgenius #appgrowth #useracquisition #mobilemarketing

***Mobile Game Churn Rates 2024*** Mobile games are a large part of both the iOS and Google Play app stores, responsible for more than half of all in-app revenue and about a third of all apps published. As the largest segment of the mobile app industry, it is no surprise that a lot of the techniques deployed to keep users engaged and enjoying an app come from the gaming world. A lot of the top apps have ‘gamified’ teaching, shopping and other app categories through the adoption of features like power ups, lives and prize games. Even with all of these features in place and new ones being developed, most mobile games downloaded will be uninstalled or left dormant after 30 days. While some mobile game developers have better luck due to the stickiness of their product, on average over 95 percent of installers will be churned by 30 days across both iOS and Google Play. To avoid this, mobile games need to make sure that gamers develop a habit of coming back. Multiplayer games have this the easiest, by offering daily or weekly challenges alongside notifications when friends are playing. For single player games, beating a high score or obtaining a new consumable is regularly dangled at the gamer. We have collected data and statistics on mobile game churn rate. Read on below to find out more.

Hoje recebemos o premio de parceiro de destaque da Adjust. Fico muito feliz em trocar tanto com vocês e evangelizarmos cada vez mais o nosso mercado. Vocês arrasam Letícia Torres Alexandre Simoes Larissa Olival Cano Flávio Levi M. Fernando Cabral Augusto Bang Caetano Motoshima Maria Eduarda Souza e todo o time! ? Growth Genius | App Growth