Building apps for women: which ones are making money?

Which women-focused apps are actually making serious money today?

Women-focused apps are making serious money today, but the biggest businesses cluster around reproductive health, contraception and female-oriented sexual entertainment.

Flo gives us the clearest ceiling. The company expected more than $200 million in gross bookings in 2024, already had about 6 million paid subscribers by the end of that year, and now says it serves roughly 80 million monthly active users. Its latest company materials also show that Flo is still widening the product beyond periods into conception, pregnancy, menopause and perimenopause.

Natural Cycles is smaller but commercially important because people pay for a concrete outcome: hormone-free contraception and fertility management. Private-company revenue figures vary. Latka currently estimates about $63 million of 2025 revenue, while reporting based on Dagens Industri said Natural Cycles was targeting closer to $100 million with an EBITDA margin of at least 25%. We should treat the exact figure cautiously, but either estimate puts Natural Cycles far beyond the usual small consumer health app.

Quinn has become the strongest example outside health. Fast Company previously reported more than $12 million in annual recurring revenue, with women making up more than three-quarters of subscribers. Sacra now estimates Quinn at roughly $34 million ARR, up from around $25 million at the end of last year.

Even smaller players can reach meaningful scale. Current app-intelligence estimates put Stardust Period Tracker around $400,000 to $700,000 of monthly mobile revenue depending on the provider.

The common thread is already visible: these apps solve recurring problems or desires that feel personal enough for users to keep paying.

App	Main use case	Best available revenue evidence	What people pay for
Flo	Periods, fertility, pregnancy, perimenopause	$200M+ 2024 gross bookings expected	Health tracking and personalized guidance
Natural Cycles	Contraception and fertility	~$63M external estimate; company reportedly targeted ~$100M	Regulated birth-control subscription
Quinn	Female-oriented erotic audio	~$34M estimated ARR currently	Entertainment subscription
Dipsea	Intimacy and erotic audio	~$4M annualized subscription revenue	Entertainment subscription
Stardust	Period and hormone tracking	Roughly $400K–$700K estimated monthly mobile revenue	Premium cycle features
Tea	Dating safety and intelligence	~$5M cumulative gross mobile revenue before iOS removal	Premium dating features

Is women’s health where most of the money is?

Yes, women’s health is still the strongest proven category for apps built specifically around female needs.

Flo, Natural Cycles, Clue and Stardust have all built paid products around different versions of the same underlying behavior: women repeatedly need to understand what their bodies are doing. Periods return every month. Fertility decisions can last years. Pregnancy creates months of intense usage. Perimenopause can stretch across several years.

Those timelines fit subscriptions unusually well.

RevenueCat's latest subscription-app benchmarks give us a broader check beyond individual companies. Health & Fitness has one of the strongest annual-subscription mixes of any category, with about 68% of subscriptions on yearly plans. Yearly renewal performance is also among the best in its dataset.

The interesting part is that the winners keep expanding along the hormonal journey. Flo's latest push is toward women over 40 and perimenopause. Natural Cycles now covers contraception, pregnancy planning, pregnancy and perimenopause. Peanut has also expanded from motherhood into fertility and menopause.

Companies that started with one female life stage increasingly want the next one too. That tells us where they think lifetime value comes from.

Why do period and fertility apps get people to pay?

Period and fertility apps monetize well because the information is recurring, personal and consequential.

Someone can replace a wardrobe inspiration app with Pinterest. A woman trying to understand whether her period is late, whether she may be fertile or whether a symptom keeps appearing at the same point in her cycle has a harder problem to replace with generic content.

The app also improves as personal history builds up. Six or twelve months of cycles, symptoms, temperatures and reproductive events can make predictions and pattern recognition more useful. Leaving then means rebuilding a personal history elsewhere.

Natural Cycles pushes this logic furthest. Its app takes body-temperature and other biomarker data and turns those measurements into fertile and non-fertile days. Users are making contraception decisions from the output, which puts the product in a completely different value bracket from a simple calendar.

Flo has taken the broader route. It surrounds tracking with symptom interpretation, education and personalized guidance across several life stages.

So the code for recording a period is easy to reproduce. The attractive business sits around the years of data, repeated use, trust and increasingly personalized interpretation.

Is Flo still pulling away from other women’s health apps?

Yes, Flo is still pulling away on consumer scale, and its latest expansion suggests that it wants to own much more than period tracking.

Flo reported nearly 70 million monthly active users and close to 5 million paid subscribers when it raised its large Series C in 2024. It ended that year at around 73 million monthly users and 6 million paid subscribers. Its latest company materials now put monthly active users at roughly 80 million.

A move from 70 million to around 80 million monthly users is meaningful at this scale. Flo is adding the equivalent of the entire user base of many successful consumer apps while already being the category leader.

The product is also moving upstream in age. Flo's latest management messaging specifically highlights the 40+ demographic and perimenopause. The company already covers menstruation, conception and pregnancy, so this gives it a plausible relationship with the same user across decades rather than years.

Competing with Flo head-on is becoming increasingly unattractive. A startup with a prettier cycle calendar or a generic AI health assistant is attacking the part of Flo that is easiest to copy while ignoring the distribution, historical data and trust that took years to build.

Can a smaller period app still make millions today?

Yes, a smaller period app can still make millions today, but it needs a reason for users to care about that specific app rather than another tracker.

Stardust is the most useful current example. Recent third-party estimates put the app around $400,000 to $700,000 in monthly mobile revenue, which implies a business worth several million dollars a year even if the estimates are imperfect.

Stardust did not beat Flo by trying to feel more clinical. Its positioning combines cycle science, hormone information, visual identity, astrology and a noticeably different tone. That combination gives users a reason to choose it even when the basic tracking functionality exists elsewhere.

Clue shows another route. The company said it doubled annual recurring revenue, tripled its paying subscriber base and quadrupled conversion over roughly two and a half years under its previous product leadership.

Privacy can quickly undo that affinity, though. Recent Mozilla research found that Stardust was sending sensitive health information to analytics provider RudderStack. Flo itself has previously faced major scrutiny over historical data-sharing practices.

For a period app these days, privacy architecture sits right next to product design. Women are logging pregnancy intentions, contraceptive choices, symptoms and sexual-health information. Mishandling that data can destroy the exact trust that makes the subscription valuable.

Does becoming a real medical product make a women’s app much stronger?

Yes, medical clearance can make a women’s app dramatically stronger because the app starts replacing part of an existing healthcare decision rather than merely giving advice.

Natural Cycles is the cleanest example. The app is an FDA-cleared Class II medical device used for birth control. Its reported effectiveness is 93% with typical use and 98% with perfect use.

That creates a moat most app developers cannot quickly reproduce. The interface can be copied. The clinical evidence, regulatory work, quality systems and medical-device clearance take much longer.

Natural Cycles has also turned wearable companies into distribution and data partners. Apple Watch and Oura already supported temperature integrations, and WHOOP recently went further by including a year of Natural Cycles for eligible new users and sending overnight skin-temperature data directly into the app.

This is a useful current development because wearable companies could have tried to absorb fertility tracking completely. Instead, Natural Cycles remains the product responsible for the contraceptive decision while WHOOP provides the measurement.

Regulation makes the business harder to enter, but once the clearance exists, it can protect the product from the flood of lightweight health apps that AI has made cheap to build.

Do pregnancy and motherhood apps actually make good businesses?

Pregnancy and motherhood apps can build enormous audiences, but pure subscription economics look weaker than in contraception, fertility or period tracking.

Philips has reported very large usage for Pregnancy+ and Baby+, including more than a million daily active users across its parenting ecosystem. Yet Philips does not break those apps out as major standalone subscription businesses because they sit inside a much wider mother-and-child product portfolio.

Peanut gives us an even clearer comparison. Its current advertising materials say the network reaches more than 5 million women monthly and has around 5.5 million members. The audience is unusually well defined: fertility, pregnancy, motherhood and menopause, with about 65% of users in the United States.

Peanut can monetize that audience through premium features, native ads, display advertising, newsletter sponsorships, branded content and expert services. What we do not see is public evidence of millions of paying subscribers comparable with Flo.

The difference makes sense. A woman may urgently need information during pregnancy, but pregnancy ends. Motherhood lasts much longer, although free substitutes are everywhere: WhatsApp groups, Reddit, TikTok, Facebook groups, friends and family.

Community can still become a valuable business. It simply pushes the economics toward advertising, commerce and services rather than an easy subscription paywall.

Product	Current scale evidence	Main way it can monetize	What we learn
Pregnancy+ / Baby+	Large global parenting audience	Philips product ecosystem	Massive engagement, unclear standalone subscription economics
Peanut	5M+ women monthly	Ads, sponsorships, premium, experts	Strong audience, weaker evidence of direct paid conversion
Flo Pregnancy	Part of an ~80M MAU ecosystem	Subscription	Pregnancy works well inside a longer health relationship
Natural Cycles	Millions of users globally	Subscription	Pregnancy planning monetizes well when tied to fertility decisions

Are women really paying for sexual wellness apps?

Yes, women are paying real subscription money for sexual wellness and erotic entertainment, and Quinn is now one of the strongest businesses in the entire women-focused app category.

Fast Company reported Quinn above $12 million ARR when the business was much smaller. Sacra now estimates about $34 million ARR, with revenue up from roughly $25 million at the end of 2025. Sacra also estimates that women make up around 83% of subscribers.

That growth is too large to dismiss as a niche curiosity.

Quinn's model is particularly interesting because the product sits inside an existing huge market for romance and erotic content. The company adapted that demand to a format many women prefer: intimate audio, creator-led stories and recognizable voices rather than conventional visual pornography.

Quinn also has a built-in acquisition loop. New creator releases and celebrity productions can become events that travel through TikTok and social media, driving trials without the company having to invent a new growth channel every week.

Dipsea gives us an independent second data point. Current subscription tracking places it around $340,000 of monthly recurring revenue, or roughly $4 million annualized.

Taken together, Quinn and Dipsea prove that female-specific consumer demand can monetize strongly outside healthcare. Most "apps for women" discussions become femtech discussions far too quickly.

Can a women-only dating app make money without blowing up?

Women-only dating intelligence can make money very fast, but Tea shows how easily privacy and moderation risk can destroy the original opportunity.

Tea lets women exchange information about men they are considering dating. When the app went viral, downloads went from roughly 15,000 per day to a peak around 142,000, according to Appfigures. Later, Tea crossed 6 million lifetime downloads.

Revenue followed unusually quickly for a social app. Appfigures estimated around $5 million in cumulative gross revenue by the time Apple removed Tea from the App Store.

The underlying demand is easy to understand. Online dating creates information asymmetry, and safety concerns are particularly important for women. Tea gave users information that Tinder, Bumble or Hinge could not provide.

The execution created much bigger problems. Tea suffered major data breaches involving verification images, IDs and private messages. Apple eventually removed the app from iOS because of privacy and content-moderation issues. Tea later returned through the web and remains available on Android.

We would still take the commercial demand seriously. Millions of downloads and millions of dollars in spending appeared very quickly. But any new product around dating intelligence has to solve safety without creating a database that exposes other people's identities, allegations or private information.

Are wardrobe and fashion apps making meaningful subscription revenue?

Wardrobe apps can attract millions of women, but their subscription revenue currently looks small next to women’s health or sexual-wellness apps.

Whering recently reached roughly 10 million users and raised another $7 million from investors including eBay Ventures and Google's AI Futures Fund. That is strong evidence that women want help digitizing wardrobes, choosing outfits and managing clothing.

The business direction is equally revealing. Whering is leaning into AI personalization and resale integrations. An investment from eBay Ventures fits naturally with that: knowing what millions of people own can eventually connect directly to what they sell and buy.

Pure subscription evidence is less impressive among smaller wardrobe products. Public app-intelligence estimates for apps such as Indyx and Style DNA remain far below Stardust or Dipsea.

The underlying problem has lower urgency. A woman deciding what to wear can skip the app for three weeks with little consequence. A woman tracking fertility cannot casually ignore the relevant days and get the same outcome.

Fashion therefore looks more attractive when the app takes a cut of shopping, resale or styling services. Charging only for wardrobe organization looks harder.

Can a women-focused fitness app still make serious money?

Yes, women-focused fitness can make serious money, although the Sweat story shows that brand and distribution matter more here than in reproductive health.

Sweat had about 450,000 paid subscribers when iFIT acquired the company. Its social ecosystem reached more than 50 million followers, largely women. That is massive subscription scale for a fitness app built around female trainers and programs.

The important part of Sweat was never a technological breakthrough. Kayla Itsines and other trainers gave the product authority, identity, transformation stories and an existing audience.

That also explains the weakness of the model. Workout content has endless substitutes. Women can use a gym, YouTube, TikTok, a Pilates studio, Strava, Apple Fitness or a personal trainer. Digital fitness boomed during lockdowns and became more difficult when those alternatives returned.

We would still like women-focused fitness when the developer already owns distribution or expertise. A trainer with a huge audience can turn an app into recurring revenue. A developer with no audience launching "AI workouts for women" starts from a much weaker position.

The more interesting product wedges now are narrower: postpartum return to exercise, strength during perimenopause, pelvic-floor recovery or programs adapted to specific hormonal stages.

Which stages of a woman’s life look easiest to monetize now?

Fertility, contraception and hormonal transitions currently look easier to monetize than broad motherhood or lifestyle products.

The strongest categories share two characteristics: the user has a recurring problem, and getting the answer wrong has a real cost.

Contraception is the clearest case. Fertility planning is similarly high intent. Period tracking has lower stakes but extremely high frequency.

Perimenopause is becoming especially interesting. Flo's latest expansion specifically targets women over 40, while Natural Cycles now promotes perimenopause support alongside birth control and pregnancy planning. Peanut also includes menopause inside its core community.

These companies are converging on the same demographic for a reason. Women entering perimenopause can spend years dealing with irregular cycles, sleep problems, temperature changes, mood changes and uncertainty about what is happening. They generally have more purchasing power than teenagers using a first period tracker, and the digital-product market is less mature.

Pregnancy creates very high intent but a fixed duration. Motherhood lasts much longer but faces abundant free competition. Fashion and generic wellness are continuous, although the urgency is much weaker.

If we were ranking only by subscription potential today, contraception and fertility remain at the top, with hormone-related niches around perimenopause looking increasingly attractive.

Which business model works best for apps built for women?

Subscriptions work best when a women-focused app delivers a recurring personal outcome; community and shopping apps usually need advertising, services or commerce as well.

Flo charges for premium health features. Natural Cycles sells subscription access to its contraceptive product. Quinn and Dipsea sell content subscriptions. Stardust monetizes premium cycle features. Sweat built around paid membership.

All of those apps can answer one simple question: why would the user still need this next month?

Peanut has a harder time putting the core community behind a paywall, so it can sell access to its audience through advertising, sponsorships and branded content.

Fashion has another economic route. If Whering helps someone decide what clothing to keep, buy or resell, taking part in that transaction can eventually produce more value than charging a small fee for wardrobe organization.

Healthcare also creates B2B opportunities through employers, insurers and reimbursements. Natural Cycles already benefits from health-plan reimbursement in some markets, while companies such as Maven have built entire women's-health businesses around employers.

The best monetization model therefore follows what the app actually changes. Health decisions support subscriptions. Attention supports ads. Shopping decisions support commerce. Healthcare savings can support enterprise contracts.

Does AI create a real opening for new apps for women?

AI creates a useful opening when it can interpret private, long-term context, but generic "AI for women" apps currently look easy to copy and likely to churn.

RevenueCat's latest dataset gives us unusually clear numbers. AI subscription apps generate about 41% more first-year revenue per payer at the median than non-AI apps. They also convert downloads to paid users a little better.

Retention tells the opposite story. Median 12-month retention is lower for AI apps across weekly, monthly and annual plans. Annual retention, for example, sits around 21% for AI apps versus roughly 31% for non-AI apps. Refund rates are also higher.

AI seems very good at making people curious enough to pay once. Keeping them is harder.

A stronger women-focused AI app would have context that ChatGPT does not automatically possess: six months of cycle history, years of wardrobe data, training progression, symptoms, wearable readings or a structured history of fertility treatment.

That historical context also creates the moat. Every month the user stays, the product has more information to work with and becomes harder to replace.

A chatbot with a female-looking interface gives competitors almost nothing to overcome. An app that understands a woman's own longitudinal data has a much better chance.

What should an indie hacker actually build for women?

An indie hacker should go after a narrow female problem with strong recurring intent, rather than launch another general "app for women."

We would avoid another broad period tracker. Flo is currently around 80 million monthly users, and Stardust already proves that even the challenger position requires distinctive branding and serious distribution.

Narrowing the problem changes the economics. A product for women coming off hormonal birth control could track the transition and organize symptoms. A postpartum app could focus only on the first six weeks after a C-section. A perimenopause tool could turn weeks of sleep, cycle and symptom data into something a woman can actually use during a medical appointment.

Sexual wellness deserves more attention too. Quinn's recent growth shows a consumer category where women are clearly willing to pay and where the market still has fewer established products than fitness or period tracking.

Female fitness can work when the niche brings expertise with it: pelvic-floor rehabilitation, postpartum strength, menopause-related training or another problem where a generic fitness plan feels inadequate.

Fashion is less convincing as a subscription-only play. We would rather build close to a transaction, where helping someone choose, buy, resell or book a stylist creates a direct path to revenue.

The best idea starts with a problem that women experience differently enough that the mainstream product does a poor job solving it. Starting with the demographic and searching for a problem afterward usually leads to something generic.

Idea area	Existing proof people pay	Difficulty for a small team	Our view today
Fertility / contraception	Extremely strong	Very high with medical claims	Great economics, difficult entry
Hormone / cycle niches	Strong	Medium	Attractive if sharply focused
Perimenopause	Growing quickly	Medium	One of the best current openings
Sexual wellness / romance	Strong	Medium	More attractive than it first appears
Postpartum utilities	Good underlying intent	Medium	Strong narrow-app territory
Female fitness niches	Strong historical proof	Medium	Best with expertise or audience
Motherhood community	Huge usage	High	Harder direct monetization
Wardrobe / styling	Strong usage, weaker subscriptions	Medium	Prefer commerce
Generic AI assistant for women	Weak differentiation	Low technically	Avoid

So which apps for women are actually making money?

Apps for women are clearly making money, and the strongest evidence today points to reproductive health, sexual wellness and a smaller set of high-intent fitness products.

Flo shows how large the market can become. Natural Cycles shows the extra value created when software becomes a regulated healthcare product. Stardust shows that a smaller differentiated cycle app can still reach several million dollars in annualized mobile revenue.

Quinn is the important surprise. As seen above, its current estimated ARR has climbed into the tens of millions, showing that female-specific demand outside healthcare can support a large subscription company too.

The weaker categories are equally informative. Whering can reach roughly 10 million users without showing Flo-like subscription economics. Peanut can reach millions of women while leaning heavily on advertising, sponsorships and broader monetization. Tea generated millions of dollars quickly but also showed how privacy and moderation can overwhelm a promising consumer idea.

So we would build around recurring pain, consequence and willingness to pay rather than around "women" as a demographic.

The better question is much narrower: what problem do a large number of women experience differently enough that the products available today still feel like they were built for someone else?