Privacy Policy

This document has last been updated: March 19, 2025

Thank you for using Spark! Your privacy is important to us. This Privacy Policy explains how we handle data when you use our app.

Data Collection

We designed Spark to respect your privacy. We do not collect or store any personal user data. However, we use the following services to improve the app’s functionality:

• TelemetryDeck – We collect anonymous telemetry data to understand app performance and usage patterns. This data contains no personally identifiable information. Their privacy policy can be found here.
• RevenueCat – We use RevenueCat to help manage subscriptions and in-app purchases. RevenueCat does not process payments but facilitates access to purchase information. Their privacy policy can be found here.
• Apple – All purchases and subscription handling are securely processed by Apple through the App Store. We do not have access to your payment details. Their privacy policy can be found here.

Data Sharing

We do not share any user data with third parties. The services we use (TelemetryDeck and RevenueCat) may process anonymized data as per their privacy policies.

Cookies & Tracking

Spark does not use cookies or any other tracking technologies.

Legal Compliance

We aim to comply with global privacy regulations, including:

• General Data Protection Regulation (GDPR) – Since we do not collect personal data, user consent is not required.
• California Consumer Privacy Act (CCPA) – We do not collect, sell, or share personal information.
• Apple App Store Guidelines – We adhere to Apple’s privacy policies and security standards.

Your Rights

Since we do not store personal data, there is no data to access, modify, or delete. If you have any concerns about privacy, you can contact us.

Contact Us

If you have any questions or concerns regarding this Privacy Policy, please contact us at: contact@stojanowski.dev

By using Spark, you agree to this Privacy Policy. We may update this policy from time to time, and any changes will be reflected in this document.

Thank you for using Spark!