R

What is Rate limiting?

Definition, examples, and more

Definition

A backend mechanism that limits how often users can trigger certain subscription-related actions (e.g., restore, trial start, promo redemptions) within a set time frame. This helps prevent abuse, fraud, and system overload.

Example

A subscription app limits restore purchase attempts to 5 per hour per user and promo code redemptions to 3 per day. When a fraud ring attempted to exploit a referral promo code, rate limiting capped losses at $500 instead of the potential $50,000 exposure.

Why Rate limiting Matters

Without rate limiting, bad actors can exploit your subscription system. A wellness app had no limits on their referral code system. A fraud group generated thousands of fake accounts and redeemed $30K in free subscriptions before the team noticed. Rate limiting would have caught this in minutes instead of weeks.

Frequently Asked Questions

What subscription actions should be rate limited?

Restore purchases, trial starts, promo code redemptions, subscription status checks, and receipt validation requests. Set limits generous enough for legitimate use but restrictive enough to prevent abuse.

What are reasonable rate limits?

Restore: 5-10/hour. Trial start: 1-2/day per device. Promo redemption: 3-5/day. Receipt validation: 20-50/hour. Adjust based on your normal usage patterns — analyze legitimate user behavior first.

How do I implement rate limiting?

Implement on your backend using token bucket or sliding window algorithms. Track by user ID and device ID. Return clear error messages ('Please try again later') rather than failing silently. Log rate-limit hits for fraud detection.

Category
Subscription App Terminology
Related Area
Mobile App Growth & Monetization

More terms starting with “R

Optimize your subscription pricing with AI

Botsi automatically shows the right price to every user. Stop guessing and start growing.