How to Monetize a Weather App Without Selling Location

How to monetize a weather app: the short answer

You monetize a weather app with three things: contextual ads that match the forecast on screen instead of tracking the user, a subscription that sells radar, advanced alerts and an ad-free app, and an earned path to premium for free users, such as an offerwall that pays in premium days. What you should not do is sell the location data a weather app collects. Regulators and app stores now treat that as the riskiest part of the business, and your margin depends just as much on what your weather data provider charges per call.

This guide covers what is specific to weather apps. For ad formats and permissions in small tools in general, see How to monetize a utility app, and for every model side by side, How to monetize an app.

The weather app business model

People open a weather app every day, often several times. But every open can cost you money, because each fresh forecast is a call to a paid weather API, and a free weather app ships with almost every phone. So the model has to earn a little from everyone and more from people who plan around weather: commuters, cyclists, gardeners, anglers.

Most weather apps combine the first three. Hybrid monetization explains how to keep them from competing.

Weather API costs: the bill that sets your margin

Unless you run your own forecast models, you buy data. Prices below are from each provider’s official pricing page, checked on October 29, 2026.

Apple also says WeatherKit location information “is used only to provide weather forecasts” and “is never tracked between requests,” and that weather alerts you show must link to Apple’s alert details page and name the issuing agency. Read your provider’s terms on caching and attribution before you design your app around a price.

Illustrative example: one app, two very different bills

Sample figures only. Your app has 50,000 daily users who open it four times a day, and every open fetches a fresh forecast: 200,000 calls a day, about 6 million a month.

• On WeatherKit, that needs the 10 million plan at US$499.99 a month, about one cent per daily user per month.
• On OpenWeather’s pay-per-call One Call API, 199,000 paid calls a day cost about 239 GBP a day, roughly 7,160 GBP over 30 days.

The fix is not only a cheaper provider. Round coordinates to a grid on your server, cache each cell for a set time, and let every user in that cell share one response. Then your bill grows with places and refresh rate, not with opens. If your users cluster in 1,500 cells refreshed every 30 minutes, the ceiling is 72,000 calls a day, whatever the number of opens. Track API cost per daily user next to ARPDAU, and treat radar as a premium cost line, because it is billed separately.

Location data: valuable, regulated, and not for sale

Users expect a weather app to know where they are, which is exactly why data buyers want its data. Recent enforcement shows where selling it leads.

• The Weather Channel app, 2019 to 2020. The Los Angeles City Attorney sued the app’s operator in 2019, alleging users were misled into sharing location for personalized forecasts while the data was sold to third parties. The company disputed the claims. It settled in August 2020 by changing how it tells users about location tracking, the Associated Press reported.
• X-Mode Social, January 2024. The FTC announced an order that prohibits X-Mode and its successor Outlogic from selling sensitive location data. The data came partly from third-party apps that included its SDK, and the FTC said the company “failed to ensure these third-party apps obtained informed consumer consent.”
• Mobilewalla, December 2024 to January 2025. The FTC alleged that when Mobilewalla bid on ad exchanges, “it unfairly collected and retained the information in the bid request, even when it didn’t have a winning bid.” The final order of January 14, 2025 bans it from selling sensitive location data and from collecting data from real-time bidding exchanges for any other purpose than the auction.
• Gravy Analytics and Venntel, January 2025. A final order of January 14, 2025 bars them from selling, disclosing or using sensitive location data, with narrow exceptions.
• Kochava, 2022 to 2026. The FTC sued in August 2022. On May 4, 2026 it announced a settlement that bars Kochava and a subsidiary from selling sensitive location data without consumers’ affirmative express consent.

Mobilewalla matters even if you sell nothing. The FTC’s technology blog on the case notes that ad auctions “sometimes include granular details like location.” If your ad SDK sends precise coordinates with every request, many bidders see them, winners or not.

The app stores close the door from their side. Google Play’s User Data policy lists device location as personal and sensitive user data, tells developers to “not sell personal and sensitive user data,” and says you must ensure your SDK providers do not sell it from your app either. Apple’s User Privacy and Data Use page lists “sharing device location data or email lists with a data broker” as tracking, which needs the user’s permission through App Tracking Transparency. All checked on October 29, 2026.

Location permissions: what the stores allow

Google Play’s background location policy says background location “may only be used when it provides a significant benefit to users and is relevant to the core functionality of the app,” and “you should never request location permissions from users for the sole purpose of advertising or analytics.” Weather apps are its own example: a sample disclosure reads “This app collects location data to enable tracking and delivery of local weather alerts even when the app is closed or not in use.” Background access needs a declaration in Play Console, a prominent in-app disclosure before the permission prompt, and SDKs that also comply. Checked on October 29, 2026.

Apple’s App Review Guidelines say in 5.1.5: “Use Location Services in your app only when it is directly relevant to the features and services provided by the app.”

In practice:

• Ask for approximate location first. The Android location permissions guide says approximate location is accurate to within about 3 square kilometers, which is plenty for a city forecast. Keep the app working when users grant only that.
• Ask for background location only when users turn on alerts that need it.
• Always offer a typed city or ZIP code. A user who declines should still get a forecast.

Contextual ads that do not need GPS

What is on a weather screen says a lot about what people need today, and you can sell that context without tracking anyone.

• Non-personalized ads. AdMob’s help page on personalized and non-personalized ads says non-personalized ads “use contextual information, including coarse geo-targeting (such as city-level) based on current location,” and do not use cookies or mobile ad IDs for targeting. City level is what a weather advertiser needs anyway.
• Forecast-based placements. Group ad screens by condition (rain, heat, snow, pollen) and offer them to direct advertisers or sponsors as context, not as user data.
• Sponsored modules. A pollen card sponsored by a pharmacy chain or a ski forecast by a resort is clearly labeled, local and needs no personal data at all.

Some opens are urgent, so keep a banner on the forecast screen and never put a full-screen ad between a user and a severe weather warning. To compare networks and mediation, see AdMob alternatives.

Subscriptions for radar, alerts and no ads

A weather subscription works because weather keeps changing, which matches Apple’s rule in guideline 3.1.2(a) that an auto-renewable subscription must “provide ongoing value to the customer” and last at least seven days. Build the premium tier from the features that cost you the most to serve and matter most to enthusiasts.

Keep official warnings free. Charging for them hurts trust, and a free app that warns people about a storm earns the loyalty that later turns into subscriptions. Sell digital features through the store billing systems: Google Play and Apple both require their in-app purchase systems for digital features unless an exception applies.

An offerwall that pays in premium days

Most users will never subscribe. An offerwall lets them earn premium time instead: they complete an advertiser’s offer, such as trying an app or answering a survey, get points, and spend them on premium days. You are paid per completed offer. How to monetize free users without a paywall explains earned access in general, and Offerwall vs rewarded video shows when each one fits.

How to set it up

• Points first, days second. Users earn points; your server turns points into days by extending a premium-until date. The app shows premium if the store says the user subscribes or that date is in the future.
• Cap the bank. Let users hold a limited number of earned days so the subscription stays the better deal.
• Credit on the server only. Add points when a signed postback arrives, never from the app, and plan for reversals. See Prevent duplicate reward credits.
• Use a stable user ID. Without sign-in, an anonymous ID created at first launch works.

Location never goes to the offers

The offerwall does not need location from your app. The signed offerwall link carries only your user ID, a hash and optional sub IDs, and the wall chooses offers by the user’s country and device on its own. Keep it that way:

• Never put coordinates, a city or a postal code in the user ID or sub IDs.
• Never give points for granting location, background location or tracking permission. Apple says you cannot gate functionality on, or incentivize, agreeing to tracking.
• Users on a VPN, proxy, Tor or data center network cannot open the wall, and users must be 16 or older, with parental permission under 18. If your weather app targets children, skip the wall; see Offerwall COPPA rules for kids’ apps.

Put the entry point on your paywall (“Subscribe, or earn premium days”) and next to locked radar layers. Offerwall placement covers the details, and Offerwall rules for iOS apps covers Apple’s side.

How to add Sharklio to your weather app

These steps assume a backend that stores each user’s points and premium date.

1. Apply as a publisher. Sign up at sharklio.com. Every application is reviewed by hand, and once you are approved, apps you add are live right away.
2. Add your app. In the dashboard, set your points name, icon, conversion rate, user split and wall design, and check it in the live preview.
3. Add the SDK. Use the Android SDK, the iOS SDK, the Flutter plugin or the React Native package. Your server creates a single-use session with the user’s stable ID, and nothing else, and the app opens the wall from your paywall. The Android SDK docs show the session call.
4. Credit from the postback. Add points only when a signed postback reaches your server, and remove them on a reversal. What is a postback URL? explains the flow.
5. Test before launch. On the Integration status tab, use “Open as a test user” and “Send a test postback”, as in Test your app before launch.
6. Declare the SDK. Add what it collects to your Data safety form and privacy label.

Frequently asked questions