(+971) 8007 4267
(+91) 946 340 7140
(+1) 628 432 4305
Fertility-tracking apps have become an indispensable part of women’s health, offering much more than a simple way to track periods. These tools now provide personalized insights into ovulation, fertility, and overall reproductive health, helping women make informed decisions about their bodies. With one in four women using fertility apps, it’s clear that this technology is making a significant impact.
As the femtech market continues to grow, with projections reaching $60 billion by 2027, these apps are playing a pivotal role in changing the conversation around women’s reproductive wellness.
Popular apps like Glow, Flo, and Clue have set the bar high, offering AI-driven features for accurate predictions and symptom tracking.
AI is changing the fertility space by analyzing data patterns to improve ovulation predictions and offer tailored health recommendations. This allows users to track their cycles with greater accuracy, making more informed decisions about their health.
In this blog, we’ll walk you through the steps to develop an AI app like Glow. As over the years, many businesses have trusted Idea Usher to build innovative AI solutions in the femtech space, so we are the right fit to guide you in developing an app that truly meets the needs of your users and stands out in the growing market.
Overview of the Glow App
Glow is an AI-powered fertility app designed to help users track their menstrual cycles, ovulation, and fertility signs, ultimately improving their chances of conception. By combining advanced algorithms with a user-friendly experience, Glow offers personalized insights that empower users to better understand their reproductive health.
Here’s how the app works,
Cycle and Fertility Tracking
Users log key data, such as period start and end dates, symptoms, moods, body temperature, cervical mucus, and sexual activity. The app then tracks menstrual cycles, predicts ovulation, and identifies fertile windows with high accuracy. As users continue to log their data, Glow’s AI learns from the information, making its predictions more personalized and accurate over time.
Personalized Insights and Recommendations
Glow provides tailored advice based on individual cycle patterns and health data. This helps users understand their bodies better and optimize their chances of conceiving. The app also tracks over 40 health signals, such as sleep, stress, weight, and exercise, offering a complete picture of a user’s overall health. Reminders for medications and other important events keep users on track.
Community and Support
The app offers a supportive community where users can connect, share experiences, and access advice from fertility experts and peers. Partners can also participate, logging their own health information to gain insights into male fertility factors.
AI-Powered Predictions
By consistently logging data, users help Glow improve its predictions of ovulation and fertile days. Studies suggest that active engagement with the app can increase the likelihood of conception and help users conceive more quickly.
Integration and Accessibility
Glow integrates with Apple Health and other health apps for seamless data sharing. The app is free to download, with additional premium features available via subscription, such as advanced charting, comparative insights, and private messaging.
How is AI Changing Femtech Apps like Glow?
Femtech apps like Glow have revolutionized how women manage their reproductive and overall health. But with the integration of AI, these apps are undergoing a second transformation, becoming more intelligent, intuitive, and personalized than ever before.
Here’s a breakdown of how Glow-like apps operated before AI, what has changed after AI, and why the AI-enhanced experience is significantly better.
Before AI: Manual, Generic, and Static
Femtech apps started with great intentions to help women track their cycles, fertility windows, and health symptoms. However, before AI became a key component, these apps had several limitations:
1. Manual Tracking Was Mandatory
Users had to input their period dates, symptoms, mood changes, and sexual activity manually every day. Forgetting to log even once could throw off predictions.
2. Generic Predictions for All Users
Cycle and ovulation predictions were based on average population data. This meant if your body didn’t follow textbook cycles (e.g., irregular periods, PCOS), the insights were often inaccurate.
3. One-Size-Fits-All Recommendations
The health suggestions were not dynamic. All users received the same advice regardless of age, medical conditions, or lifestyle factors.
4. Limited Health Context
Apps lacked the intelligence to identify health patterns or provide contextual insights. They couldn’t differentiate between a late period due to stress vs. potential pregnancy.
5. No Real-Time Feedback or Support
There was no chatbot, assistant, or smart interaction. If a user had a question or concern, she had to wait for a doctor’s visit or Google it herself.
After AI: Personalized, Predictive, and Proactive
Thanks to advancements in AI, apps like Glow are now leveraging data science and machine learning to provide a smarter, more user-centric experience.
1. AI-Driven Personalization
AI tailors the app experience based on each user’s unique cycle patterns, medical history, lifestyle, and even emotional inputs. Predictions become more accurate with every use.
2. Predictive Health Monitoring
AI can analyze thousands of data points, including sleep, activity, temperature (via wearables), and past logs, to predict ovulation, PMS, and even potential fertility issues more accurately.
3. Automated Anomaly Detection
Irregularities like skipped periods, hormonal imbalances, or early symptoms of PCOS or endometriosis can be flagged by the app before the user even notices.
4. 24/7 AI Chatbots and Assistants
Many AI-powered Femtech apps now include virtual assistants that provide instant, science-backed answers to sensitive questions. Some even offer mental health support during PMS or pregnancy.
5. Smart Reminders and Lifestyle Suggestions
AI tracks how users respond to different habits and sends timely nudges. For example, if poor sleep is delaying ovulation, the app might recommend personalized sleep improvements tailored to the user.
Why the ‘After AI’ Experience is Better?
| Feature | Before AI | After AI |
| Cycle Tracking | Manual and rigid | Smart, adaptive, and automated |
| Accuracy | Based on averages | Personalized to each body |
| Health Insights | Basic timelines | In-depth predictions and alerts |
| Support | None or basic articles | 24/7 AI health assistants |
| User Effort | High | Minimal (AI does the heavy lifting) |
AI transforms Femtech apps from being tools into intelligent health companions.
- It empowers users with meaningful insights rather than raw data.
- It reduces cognitive load, helping users focus on their well-being instead of data entry.
- It bridges the gap between doctor visits, offering continuous support and early detection.
A Perfect Time to Invest in Developing an AI Fertility Tracking App
According to PersistenceMarketResearch, the fertility tracking apps market is on a strong growth trajectory, with forecasts indicating an increase from US$81.39 billion in 2024 to US$206.34 billion by 2031, growing at a CAGR of 14.2%. This growth is fueled by rising awareness of women’s reproductive health, an increase in infertility cases, and a global trend of delayed parenthood.
Source: PersistenceMarketResearch
These factors have led to a higher demand for digital tools that help individuals better monitor and manage their fertility.
AI-powered fertility tracking apps are at the forefront of this movement, offering highly personalized and accurate predictions. By analyzing user data like menstrual cycles, basal body temperature, and hormone levels, these apps can predict ovulation windows and fertile days. This level of precision is invaluable for those planning a pregnancy or managing contraception.
Apps like Clue and Flo are leading the way, using AI to provide tailored insights and recommendations. They also integrate with wearable devices for continuous, real-time health monitoring.
With added features like community support and strict data privacy measures, these apps are fostering greater user trust and engagement, addressing the increasing demand for secure, user-centered fertility management.
So, Why is the Demand for These Apps Rising?
The demand for AI-powered fertility tracking apps is growing rapidly, making it an ideal time to invest. As more people look for personalized healthcare solutions, apps like Glow have become invaluable tools in family planning and reproductive health. The combination of increased awareness about fertility and the adoption of digital health technologies means there is a strong market for accurate, AI-driven insights that can help improve conception chances.
Investing in the development of an AI fertility tracking app can offer substantial returns through various revenue streams. Subscription models, which offer users premium features like advanced tracking and personalized health advice, are the most common. For example, Flo Health raised $200 million in its Series C funding round and is valued at over $1 billion. The app has millions of active users, with a significant portion subscribing to paid plans.
Other players in the market, such as Clue and Ovia Health, are also seeing impressive revenue growth. Clue reported annual earnings of $35 million in 2025, while Ovia Health, which focuses on maternity and family health, earned a similar amount.
These successful apps showcase the lucrative potential of investing in AI fertility tracking apps and highlight the growing profitability of the femtech industry.
Business Model of the Glow App
Glow is a health tech company that focuses on women’s reproductive health. By using data science and machine learning, it provides personalized fertility insights and helps users track their fertility cycles, predict ovulation, and connect with a community. Glow’s mobile platform offers users access to a variety of features aimed at improving reproductive health and wellness.
Tiered Subscription Plans
Glow offers tiered subscription plans that unlock premium features. These include detailed health reports, personalized consultations, and advanced community interactions. Subscriptions are a key source of recurring revenue, giving users access to enhanced analytics and support.
Glow First Program
The Glow First program is a unique feature where couples pay $50 per month for fertility tracking services. If a couple does not conceive after 10 months, the pooled community fund helps cover the costs of infertility treatments. This creates both value for users and an additional revenue stream for Glow.
Healthcare Partnerships
Glow partners with healthcare providers and wellness brands to monetize its platform. Revenue comes from sponsored content, tailored advertisements, and referral fees from connecting users to preferred healthcare services. These partnerships help Glow monetize its large user base while providing valuable resources to users.
In-App Shopping
The app also includes shopping features, allowing users to purchase fertility and wellness products directly through the platform. Glow earns commissions on these sales, adding another layer to its revenue model.
Advertising
Glow generates revenue through targeted advertising. By using its data-driven audience segmentation, the app delivers highly relevant ads, maximizing ad revenue and providing advertisers with valuable exposure to a health-conscious audience.
Financial Performance & User Metrics
Glow has established a robust user base, with over 10 million users across its suite of apps, including Glow, Eve, Glow Nurture, and Glow Baby. The app is primarily distributed through the Apple App Store and Google Play Store, giving it a global reach. T
he active community forums and support networks foster high user engagement, which plays a critical role in retention and upselling premium services.
Features We Add While Developing an AI Fertility Tracking App
Through our experience building fertility-tracking apps, we’ve learned what truly matters to users. We’ve refined the features that make a real impact, ensuring the app is both useful and engaging. Here are the key features we focus on when developing a top-notch AI-powered fertility tracking app:
1. Personalized Fertility Predictions
We use smart algorithms to give users tailored fertility predictions based on their unique menstrual cycle, lifestyle, and health factors. This personalization allows for more accurate predictions of fertility windows, making it easier for users to plan their reproductive goals.
2. Cycle and Ovulation Tracking
While basic cycle tracking is essential, we go a step further by integrating AI to help predict ovulation and fertile days with more precision. This feature empowers users to understand not just when their period is, but when they’re most likely to conceive or need to take precautions.
3. Real-Time Notifications
Users receive timely alerts about their upcoming ovulation and fertility windows. These personalized notifications are designed to keep users informed and help them take the right actions at the right times, whether for trying to conceive or avoiding pregnancy.
4. Comprehensive Health Data Integration
By integrating data from wearables and health apps (like sleep, activity, or stress levels), we provide users with a holistic view of how their overall health affects fertility. This feature takes the guesswork out of tracking and gives users insights into how their lifestyle choices might be influencing their reproductive health.
5. Symptom Tracking with AI Insights
Users can track physical and emotional symptoms such as cramps, mood swings, and fatigue. The app uses AI to identify patterns and offer insights into how these symptoms relate to their menstrual cycle, helping users better understand what’s happening in their body each month.
6. Health Tips and Tailored Recommendations
The app offers personalized advice based on the user’s health data, such as tips for improving fertility, diet suggestions, or lifestyle changes to support reproductive health. These recommendations are customized to fit the user’s specific needs, making the app more than just a tracker.
Development Creating An AI fertility App like Glow
When building a fertility-tracking app, it’s essential to go beyond data accuracy and create an experience that empowers users to take charge of their reproductive health. We have experience in developing apps like Glow, so let us share what our process looks like when we develop an AI app like Glow, ensuring a seamless and user-friendly experience.
1. Market Research & Requirement Analysis
We begin by truly understanding the needs of your target audience. Through thorough market research, surveys, and interviews, we gather insights into what users expect from a fertility app. We also analyze competitors to identify gaps in the market and ensure that the app we develop meets both user expectations and regulatory standards, including data privacy laws like HIPAA.
2. Designing User-Centric UI/UX
The key to user adoption is a clean, easy-to-navigate interface. We design with the user in mind, ensuring the app is visually appealing and intuitive. Whether tracking periods, symptoms, or fertility signs, users should feel comfortable using the app daily without feeling overwhelmed.
3. Data Collection & User Profile Setup
To provide personalized experiences, we help users create detailed profiles. By collecting information like cycle length, symptoms, and lifestyle habits, the app is able to generate accurate, individualized predictions. This step is crucial for setting a solid foundation for the app’s AI to function at its best.
4. AI & Algorithm Development for Cycle Prediction
The heart of the app lies in its AI algorithms. These algorithms analyze a range of data, from cycle length to symptoms, to predict ovulation windows and fertility periods. Over time, as users log more data, the AI improves, offering even more personalized predictions. If you’re looking to develop an AI app like Glow, this iterative process of refining predictions ensures that users receive the most accurate and tailored insights over time.
5. Integration of Wearables & Health Devices
We recognize the power of data from wearables. By integrating devices like fitness trackers or smartwatches, users can provide additional insights into their health, such as sleep patterns or physical activity. This extra data helps fine-tune the app’s predictions, making them more accurate and comprehensive.
6. AI-Powered Personalization & Recommendations
Our AI doesn’t just make predictions, it learns from user data and provides tailored advice. As users input more information, the app offers personalized tips and lifestyle recommendations, making the experience feel truly customized to each individual’s fertility journey.
7. Community & Social Support Features
We believe that community support is invaluable. Our apps include features where users can connect with others on similar journeys, share experiences, and offer advice. This creates a supportive environment that encourages users to stay engaged and motivated throughout their fertility tracking process.
8. Data Security & Privacy Compliance
We understand how important data security is, especially with sensitive health information. Our development process ensures that all user data is encrypted and securely stored. We also ensure that the app is fully compliant with privacy laws like GDPR and HIPAA, giving users confidence that their personal information is protected.
9. Continuous Testing, Optimization, and Feedback Collection
Our work doesn’t end after launch. We continually test the app, refine the AI algorithms, and gather feedback from users to improve the experience. This iterative process ensures that the app evolves, staying relevant and user-friendly while meeting the changing needs of its audience.
Cost of Developing an AI Fertility Tracking App like Glow
Building an AI-powered fertility tracking app requires careful planning and investment in design, development, and AI integration. If you’re looking to develop an AI app like Glow, the cost will depend on the features you want to include and the level of customization needed to meet users’ needs.
| Development Phase | Activities Included | Estimated Cost Range (USD) |
| I. Research & Planning (Discovery) | – Market & competitor analysis- Requirement gathering & documentation- Tech stack selection | $1,000 – $5,000 |
| II. UI/UX Design | – User behavior research- Wireframes & prototyping- UI visual design- Accessibility features | $5,000 – $15,000 |
| III-A. Core App Features (Non-AI) | – User profiles & onboarding- Calendar view- Manual data logging (BBT, OPK, mood, symptoms)- Notifications- Simple charts | $10,000 – $25,000 |
| III-B. AI/ML Features | – Cycle prediction engine- ML model selection & training- Fertile window/ovulation prediction- Personalized insights- Anomaly detection | $15,000 – $40,000 |
| IV. Backend Development | – API development- Secure database setup- Cloud server configuration- Auth & user management- Basic scalability setup | $10,000 – $25,000 |
| V. Integrations & 3rd-Party Services | – Push notifications (Firebase)- Analytics (Google/Firebase)- Initial data security tools (HIPAA-lite/GDPR-prep) | $2,000 – $5,000 |
| VI. Testing & Quality Assurance | – Functional & usability testing- Performance & regression tests- Basic security & AI accuracy validation | $5,000 – $10,000 |
| VII. Project Management & Deployment | – PM oversight- App store submission (Google/Apple)- Initial bug fixes | $2,000 – $5,000 |
| → TOTAL ESTIMATED COST | $10,000 – $100,000* |
The cost of developing an AI-powered fertility tracking app like Glow ranges from $10,000 to $100,000, depending on the features and level of customization you need. This is an estimate, reach out to us for a more precise quote based on your unique requirements.
Factors Affecting the Cost of Developing an AI Fertility Tracking App
The overall cost of developing this type of app is influenced by various factors, including the complexity of features and the expertise required for specialized algorithms and handling sensitive data. If you plan to develop an AI app like Glow, understanding these key variables is essential to estimating development costs and ensuring the app meets user needs while maintaining privacy and accuracy.
Data Acquisition and Preprocessing
Building a reliable AI fertility tracking app requires accurate and secure handling of sensitive health data. This involves strict security measures, anonymization, and compliance with regulations. Gathering and validating this data, particularly from wearables and real-time sources, adds complexity to the development process and increases costs.
Regulatory Compliance & Security
Compliance with healthcare regulations such as HIPAA and GDPR is crucial. These regulations ensure that user health data remains private and secure. If the app makes medical claims, it may also need to meet specific medical device standards, requiring additional documentation, testing, and legal advice, which can significantly raise development costs.
Integration with External Devices/APIs
Integrating wearables and health devices like smart thermometers or fitness trackers introduces both technical challenges and costs. These devices provide valuable real-time data for fertility tracking but require additional API development, testing, and ongoing maintenance to ensure compatibility and reliability.
Need for Medical/Scientific Consultation
Collaborating with fertility experts is vital for ensuring the app’s medical accuracy. Specialists help validate AI predictions and advise on feature development. While these consultations add to the overall cost, they are essential for creating a credible, user-safe app that users can trust with their reproductive health.
Conclusion
AI-powered fertility tracking apps are changing the healthcare landscape by offering personalized insights and accurate predictions, helping users better understand and manage their reproductive health. These apps provide valuable data to enhance family planning and fertility decisions. If you’re looking to develop an AI app like Glow, contact our team at IdeaUsher for a consultation. Let’s work together to build a solution that meets your unique needs and brings your idea to life.
Looking to Develop an AI Fertility Tracking App like Glow?
At Idea Usher, we specialize in helping startups and businesses build AI-powered fertility-tracking apps that offer accurate cycle predictions, personalized health insights, and a seamless user experience.
We focus on creating solutions that empower users to take control of their reproductive health with advanced AI technology tailored to their unique needs..
- 500,000+ hours of coding expertise
- Experienced developers from top tech companies
- End-to-end development, from AI modeling to HIPAA-compliant deployment
Explore our latest projects to see how we can bring your idea to life.
Work with Ex-MAANG developers to build next-gen apps schedule your consultation now
FAQs
A1: Building an AI fertility tracker app involves combining accurate health data with smart AI algorithms to offer personalized predictions and insights. The process includes designing a user-friendly interface, integrating data security features, and implementing essential tools like cycle tracking, ovulation predictions, and symptom logging, all tailored to the user’s unique health journey.
A2: The cost of developing an AI fertility tracker app depends on various factors like the features, complexity of AI integration, and platform choices (iOS or Android). Expenses include development, AI model training, data privacy, and ongoing maintenance. The best way to get an accurate cost estimate is by working closely with a skilled development team.
A3: Common features of an AI fertility tracker app include cycle tracking, ovulation and fertility predictions, symptom monitoring, and personalized health insights. Many apps also integrate with wearables for real-time data and provide secure data storage to ensure privacy. A seamless user experience with smart notifications enhances engagement and usability.
A4: AI fertility tracker apps often generate revenue through subscription models, offering premium features such as detailed health reports, expert consultations, or advanced tracking. Other monetization strategies may include in-app purchases for additional services or products, partnerships with healthcare companies, and targeted advertising in the health and wellness sector.
