Artificial Intelligence and Fitness: Using Data to Personalize Workouts
User data is a valuable resource for companies in the digital health sector. By analyzing customer information, businesses can identify true preferences and tailor fitness software accordingly. Developing or reorienting products to address real issues and needs can significantly boost engagement and sales.
The Latest in Fitness Apps
Artificial intelligence (AI) is making strides across many areas of life, including healthcare and sports. Robots already assist with surgeries, and neural networks help diagnose diseases. The fitness industry is also advancing by utilizing AI.
Collecting and analyzing customer data through AI opens up new possibilities for smart fitness apps. Instead of providing generalized workouts, these services can offer users personalized plans based on their gender, age, and previous progress. As a result, workouts from a smartphone become more effective and safer. KinesteX AI offers a solution to transform a standard home workout app into a personal sports coach.
Embedded AI Trainer and Analyst: KinesteX AI
The virtual assistant KinesteX AI enhances traditional wellness services by focusing on the consumer. This AI-powered module includes training programs that allow users to choose the appropriate level. The smart trainer monitors exercise performance via the camera, provides voice tips to minimize injury and strain, making it similar to having a personal trainer in a gym. Additionally, KinesteX AI collects and transmits user data to the platform for further processing and optimization.
Analyzing Fitness Data: The Key to Increasing Engagement and Profits Paying attention to client data helps wellness companies adapt their product to user preferences, thereby boosting loyalty, increasing interaction with the fitness app, and ultimately multiplying revenue.
Here are 3 ways to productively use data collected via AI:
1. Customer Segmentation
Collecting statistics on users' goals and issues directly impacts decision-making in marketing strategy. Accurate data on your audience allows you to create relevant offerings for each segment. For instance, you can segment users by fitness level, injury history, or preference for certain workout styles.
2. Engagement and Motivation
Use data to motivate and support users. For example, add a feature for weekly and monthly reports. Offering a “share your achievements with friends” option on social media can serve as an additional incentive for workouts while also providing free promotion for the app. Create leaderboards and rewards for completed workouts or incorporate gamified elements into the training process.
3. Personalized Recommendations
Digitalized user achievements, analyzed through AI tools, offer valuable feedback. Use smart technologies to deliver personalized advice and reminders based on past data, such as workout timing, daily routine, and calories burned.
Owning vast amounts of data on customer experiences allows businesses to forecast demand and optimize pricing strategies. Integrating the KinesteX AI trainer increases user engagement and boosts sales of fitness apps.
Smart Fitness and Data Processing with AI
Fitness data analytics help companies identify gaps in product offerings and highlight areas for growth. AI technologies enable companies to create relevant digital fitness services and improve existing ones. Integrating the KinesteX AI module into your app takes just 1 hour, and SDK development ensures seamless integration with any programming language.
Companies that leverage data analytics with AI technologies like KinesteX AI gain a competitive edge in the fitness app market. AI integration makes workouts safer and more effective. Personalizing self-guided workouts enhances the popularity of the service among users and drives long-term commercial success.
