At FitFocus, we’re all about giving coaches, gyms, and trainers the best tools to elevate their training programs, and I’m excited to share our newest feature—Wearable Integration. This update brings your clients' health data directly into FitFocus from popular wearables like Apple Watch, Garmin, Fitbit, WHOOP, Oura, Samsung Galaxy Watch, and many others. This means you get access to real-time health insights, allowing you to offer personalised, data-driven support like never before.
Our mission has always been to bridge the gap between coaches and clients, creating a seamless way to access and understand health metrics that matter. By connecting with wearables, we’re making it easier to gain meaningful insights into clients' physical and mental well-being, all in one place.
1. Simplified Metrics
We know that data can be overwhelming, which is why our Wearable Integration turns raw numbers into easy-to-read Digital Biomarkers. These Digital Biomarkers give you insight into your clients' daily activities, calories burned, sleep quality, and overall wellness. No need to wade through complex data—FitFocus makes it clear and actionable.
2. A Holistic Health View
Coaching isn’t just about physical fitness; it’s about supporting your clients’ overall well-being. Our Wearable Integration captures data across multiple dimensions, including physical activity, sleep, and mental readiness. This comprehensive view helps you support your clients holistically, addressing all aspects of health and wellness.
3. Proactive, Data-Driven Coaching
With real-time access to data like recovery and sleep patterns, you can anticipate your clients’ needs and adjust training programs accordingly. Imagine knowing a client’s readiness score is high before a session—now you can plan a more intense workout for optimal results. Conversely, if a client’s sleep score is low, you might scale back to focus on recovery.
We designed our Health Scores to help you quickly interpret complex health data without needing to be an analytics expert. Here’s what’s available:
These scores empower you to keep track of trends, make timely adjustments, and focus on what matters for each client’s goals.
One of the things I’m most proud of is the flexibility we’re offering with Wearable Integration. FitFocus supports an extensive list of wearables, including:
…and more. This variety means that your clients can choose the wearable that best suits them, and you’ll still be able to get comprehensive health data directly within FitFocus.
Tailored Recovery Programs
If a client’s data reveals high sleep debt or low mental wellness, you can adjust their training plan to focus on recovery. Scheduling a restorative week or adding lower-impact exercises keeps clients on track without overloading them.
Performance Optimisation
Using the Readiness Score, you can gauge when a client is physically and mentally primed for intense training. This helps you optimise their progress, ensuring high-energy sessions are scheduled on days they’re ready to perform their best.
Enhanced Accountability
Clients can now see their health data evolve over time, making their progress more tangible. For you as a coach, this data provides a foundation to build accountability and keep clients motivated by tracking tangible health improvements.
This feature is more than just data—it’s about transforming how you connect with clients. At FitFocus, we believe in empowering coaches to offer a training experience that goes beyond the gym floor, supporting both physical and mental wellness. By leveraging wearables and health insights, you can engage clients in a way that builds loyalty, trust, and long-term results.
Whether you’re working with athletes, beginners, or clients focused on wellness, our Wearable Integration allows you to meet them where they are and support their journey in a meaningful way. We’re excited to see how you use it to create personalised, impactful programs.
Ready to elevate your coaching? Try the FitFocus Wearable Integration today and start building a deeper connection with your clients through data-driven insights.