Must-Have SDKs for Mobile Apps in 2023

Must-Have SDKs for Mobile Apps in 2023


The mobile app market has witnessed tremendous growth and development, making it more challenging for mobile app publishers to remain competitive. To help them navigate this dynamic environment, Software Development Kits (SDKs) have emerged as invaluable tools. These SDKs provide various features and functionalities that can help track Monthly Recurring Revenue (MRR), churn, Lifetime Value (LTV), and growth, among other critical metrics. This article presents a curated list of must-have mobile app SDKs for publishers in 2023, focusing on aspects like subscription analytics, LTV prediction, and predictive analytics.


As an essential part of the Mobile App Toolbelt, RevenueCat stands out as a versatile SDK with a strong focus on Subscription Analytics. It provides a robust and comprehensive platform for managing in-app purchases and subscriptions. With its exceptional abilities to track MRR, churn, and LTV, RevenueCat allows app publishers to focus on their core product rather than the complexities of the app stores.

Its unique subscription analytics features allow you to easily understand your customers’ buying behaviors, offering insights that can be used to maximize retention and revenue. Furthermore, its predictive LTV models are perfect for forecasting revenue and planning marketing strategies with greater accuracy.


AppsFlyer is another must-have SDK for mobile app publishers. It offers holistic and real-time mobile attribution, enabling publishers to track the entire user journey across multiple channels and platforms. AppsFlyer is an essential part of your Mobile App Toolbelt if you are serious about understanding your users’ behavior, marketing ROI, and campaign performance.

The platform shines with its churn prediction features. Using predictive analytics, AppsFlyer helps you identify at-risk users before they churn, thereby helping you tailor experiences to boost user retention. Moreover, it allows you to track LTV and optimize your acquisition strategy based on high-value users.


Mixpanel is an advanced mobile analytics SDK that allows you to understand how users interact with your app. It offers event-based tracking, which means you can monitor specific activities within your app and see the bigger picture of your user’s journey.

One of its standout features is the ability to conduct cohort analysis, which allows you to compare the behavior of different groups of users over time. Mixpanel’s capabilities extend to predictive analytics too, with its data science models offering insights into future user behavior. Thus, you can use Mixpanel to track growth and LTV, while its predictive analytics can assist in forming effective marketing and engagement strategies.


Amplitude SDK stands out for its focus on product analytics. It allows you to dive deep into your app’s usage and understand what features drive user engagement and retention. Its unique behavioral cohorting feature lets you group users based on specific behaviors, giving you a granular view of user activity.

Amplitude excels in tracking MRR and LTV. Its advanced LTV prediction models, powered by machine learning, provide valuable insights into your customer’s value over time. This, in combination with its churn analysis, can help you optimize your revenue growth and improve user retention.


Firebase, powered by Google, is a comprehensive SDK that caters to multiple needs of app publishers, from analytics and performance monitoring to cloud messaging and crash reporting. The Firebase Analytics feature is a free tool that helps track user engagement and LTV, offering insights that can help enhance user experience and boost revenue growth.

Firebase Predictions applies machine learning to your analytics data, generating predictions about user behavior. This predictive analytics feature can be used to identify churn-prone users or segments likely to make in-app purchases, helping you to proactively engage with them. is a cutting-edge predictive LTV analytics service designed to revolutionize revenue forecasting. Its unique multi-model approach is tailored to cater to the diverse needs of app publishers. By combining various statistical and machine learning models, offers superior accuracy in predicting LTV and revenue trends.

This SDK allows for efficient tracking of MRR, while its powerful churn analysis tools assist in pinpointing potential areas of user attrition. However, where truly excels is in its predictive analytics capabilities. Using its sophisticated multi-model approach, it provides accurate forecasts of LTV and revenue, which are invaluable for strategic planning and decision making.

With, you’re not just looking at historical data; you’re getting a glimpse into the future of your app. This foresight can be a game-changer, allowing you to proactively adjust your strategies, optimize your growth plans, and ensure that you’re always a step ahead of the competition.


The selection of the right mobile app SDKs can make a significant difference in managing and optimizing your app, driving sustainable growth in a fiercely competitive market. These SDKs are a must-have in your Mobile App Toolbelt, offering indispensable tools for tracking MRR, churn, LTV, and growth. Their capabilities around subscription analytics, LTV prediction, and predictive analytics can offer crucial insights into user behavior and aid in formulating effective strategies for customer acquisition, retention, and revenue growth. As the mobile app landscape continues to evolve, so do these tools, providing ever more refined and accurate analytics capabilities to help publishers succeed in 2023 and beyond.

Written by v.shulga
View all articles

Ready to get started?




Thanks for your submission. We will get back to you on this at the earliest possible time.