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#AI First
#Mobile app’s
Jul 1, 2025
Mobile applications have become an essential business tool. According to TekRevol, in 2024, over 137 billion apps were installed worldwide. In 2025, this number will at least double. However, one installation is not yet a success. Practice shows that more than 50% of people delete a service within the first three months after downloading it. The problem is that many users do not have enough time to realize its value.

Why User Retention Is Important for Business

Mobile applications are one of the most profitable segments of the digital market. In 2024, revenue from them exceeded $935 billion, according to Statista. In such a competitive environment, customer retention becomes the foundation of growth: the longer a user stays, the higher their lifetime value (LTV) and profit per install.

An app also enhances marketing effectiveness. Loyal users are more likely to respond to updates and offers. You don’t need to attract them again—they already know the product and return on their own. A stable customer base allows for development, entering new markets, and spending less on support, as experienced users require less assistance.

Retention is not just an engagement metric. It’s a tool that expands product opportunities, increases revenue, and reduces team workload. Let’s review 5 basic functions that will help not only attract but also keep users with you for the long term.

Onboarding: How to Turn the First Launch into a Retention Point

Onboarding screens are a user’s first steps within an app. How quickly they understand the app’s value and navigate its main features directly affects whether they will become a product user.

Good onboarding solves several tasks at once:

  • Shows the app's value. For example, in an educational service: "Learn English in a year by studying 15 minutes a day."
  • Introduces key features. For example, in a delivery app: explaining how to place an order in 2 steps.
  • Trains a new audience. In an eSIM service: step-by-step setup of a digital SIM card.
  • Adapts to the individual. In a fitness app: entering weight, goals, and preferences.

How to make onboarding effective:

  • Optimal number of swipes: Enough 3-5 screens (with indicators like “Step 2 of 4”) to convey the main value and explain key actions.
  • Skip option: Give users the choice to skip, postpone, or proceed later. This reduces irritation and increases loyalty.
  • Simple and clear presentation: Remove unnecessary information. Show only what is essential for starting; the rest can be learned later.
  • Update with new features: Show onboarding not only at first launch. Add tips when releasing new options.

Customization and Personalization: Tailoring Interface and Content

Users are more likely to return to products that “feel” and “understand” them. Customization allows users to adjust the appearance and structure of the interface: change order screens, choose themes, hide unnecessary elements. For example, weather apps can set favorite cities, and social media can prioritize feeds.

Personalization works in the background: analyzing behavior and offering relevant content, such as products, movies, or discounts. Netflix, for instance, shows about 80% of views based on personalized recommendations. The more precisely the system adapts to habits, the higher the chance the user will stay because the app becomes more convenient and genuinely useful.

AI Assistant and Automated Tips: Simplifying the User Path

Developers increasingly use artificial intelligence and machine learning to make products more user-friendly and efficient for business. This also reduces support load and costs.

Here are 4 tasks that AI handles especially productively:

  • Chatbots and auto-responses: Cover up to 80% of standard questions without staff involvement. Users receive help instantly, and businesses save resources.
  • Personalized prompts: AI analyzes behavior and timely suggests the next step, such as choosing a tariff or adding a product to the cart.
  • Interest prediction: Based on the history of actions, AI recommends relevant products and services, increasing conversion and LTV.
  • Recognition and security: Face ID, voice commands, and biometric authentication make login faster and more reliable.

Offline Mode Support: Reliable Operation Without Internet

An app that works offline builds greater trust. Users can read, edit, or input data seamlessly. Everything saves and loads once the connection is restored. This is especially important during travel, with weak signals, or when saving traffic. The less an app depends on external conditions, the more likely it is to be used constantly.

Gamification and Engagement Tools: Making the Product a Habit

Game elements help make the product part of everyday life. This can be a point system, achievements, levels, or simple rewards for actions. The key is that users receive additional motivation to return. This approach works well in educational apps, health services, habit tracking, or personal finance.

Choose functions that are suitable for your business:

  • Onboarding: If you need to quickly show the value of the product and teach how to act from the first steps.
  • Customization and personalization: If you offer a wide range of features and want to better understand customer needs.
  • AI Assistant: If you have a complex product, high support load, or require higher security.
  • Offline Mode: If you're developing travel, transportation, educational, or reference apps.
  • Gamification: If it's important to motivate the user to return to the app and gradually engage them in new actions.

Case Study

One of our clients faced high user churn after registration. The project was refined: onboarding was updated, personalized prompts were added, and the interface was simplified. The customer journey to the first result was reduced to 2 minutes, and after a month, retention metrics increased by 41%.

Conclusion

The right feature is not about what is popular on the market but what solves a specific task of your product. If you're unsure where to start, the DigiNeat team will select solutions tailored to your audience and business model.