
About
This app helps you curb impulse spending by sending timely notifications when you're near a place where you tend to overspend. It focuses on interrupting the moment of decision rather than just tracking past purchases.
What's New in No Frills
2.6
May 20, 2026
Bug fixes. Localization.
Subscription plans
Unlimited items, goals & alerts
You can add unlimited temptations items
User reviews
Developer apps
FAQ
How does No Frills stop impulse buying?
No Frills uses geofencing to detect when you are near a location where you tend to overspend. It then sends a notification to remind you of your savings goals before you enter the store.
What kind of places can I set up for No Frills?
You can set up any place that tends to lead to impulse spending, such as corner stores, cafes, or gas stations. The free version allows for a limited number of locations, while Premium unlocks unlimited geofence locations.
Does No Frills have ads?
No, No Frills is ad-free. The app's privacy statement explicitly mentions 'No ads'.
What are the subscription options for No Frills Premium?
No Frills Premium offers two subscription plans: Unlimited items, goals & alerts for $5.99 per 7 days, and Premium Monthly for $19.99 per month. These are auto-renewable subscriptions.
Is No Frills secure and private?
Yes, No Frills prioritizes privacy by staying on your iPhone with no accounts or cloud storage. Location data is processed on-device, and Apple's StoreKit handles subscriptions without the developer seeing your Apple ID or purchase history.
How often is No Frills updated?
The app was last updated on May 20, 2026, with version 2.6. This indicates a recent update, suggesting ongoing development and support.
What devices does No Frills support?
No Frills is built for iOS and specifically supports iPhones. It features Liquid Glass design, Live Activities on the Lock Screen, and widgets for savings count.
What is the user sentiment for No Frills?
Based on the provided data, No Frills has a rating of 5.0 stars from 1 rating, indicating very positive initial user sentiment.






