Overview

Best Practices

This project demonstrates best practices for integrating advertising libraries such as GAM (GPT.js), Prebid.js, and Amazon Ads in a React application. It is designed as a practical guide for web developers who want to implement ads efficiently, while keeping performance, user experience, and privacy in mind.

The main goals of this project are to:

1. Show how to make ad requests correctly: Learn how to initialize ad slots, request ads asynchronously, and ensure proper targeting using GPT.js, Prebid.js, and Amazon Ads.
2. Implement lazy loading for ads: Load ads only when they are about to enter the viewport to improve page performance and reduce unnecessary network requests.
3. Refresh ads properly: Understand when and how to refresh ad slots without disrupting user experience or violating ad network guidelines.
4. Optimize performance: Apply techniques such as minimizing script blocking, batching requests, and reducing the impact on page load times.
5. Handle GDPR and privacy compliance: Integrate consent management and respect user privacy when loading personalized ads, ensuring compliance with regulations like GDPR and CCPA.

By following this project, developers will gain a clear understanding of how to integrate multiple ad platforms in a React environment while maintaining high performance, proper ad behavior and legal compliance.

Quick Overview

1. Ad Slot Initialization & Requests

Use asynchronous loading: Always initialize GPT.js, Prebid, and Amazon Ads asynchronously to avoid blocking page rendering. Define ad slots declaratively: Keep ad slot definitions centralized, making it easier to manage sizes, targets, and ad unit paths. Request ads only once per slot: Avoid multiple unnecessary requests; use proper state management in React to ensure slots are initialized only once.

2. Lazy Loading Ads Intersection

Observer: Use IntersectionObserver to detect when an ad slot is in or near the viewport and load ads only at that point. React integration: Wrap ad components in a LazyAd component to handle visibility and ad requests automatically. Threshold tuning: Configure offsets for pre-loading ads slightly before they enter the viewport to prevent flickering.

3. Refreshing Ads

Controlled refresh: Refresh ads only when necessary (e.g., after user interactions or after a certain timeout) to avoid excessive network requests. Slot targeting: Ensure new targeting parameters are applied before refreshing. React state sync: Manage refresh triggers via React state or hooks to ensure predictable updates without breaking ad slots.

4. Performance Optimization

Script management: Load ad scripts via defer or dynamic imports to reduce initial render impact. Batched requests: Combine multiple ad requests when possible (Prebid + GPT) to reduce round trips. Avoid re-renders: Wrap ad components in React.memo to prevent unnecessary re-renders and reloads.

5. GDPR & Privacy Compliance

Consent management: Integrate with CMP (Consent Management Platform) and check user consent before requesting personalized ads. Non-personalized fallback: Serve non-personalized ads if the user opts out or consent is denied. Data handling: Do not store or send personal user data outside of the ad libraries without explicit consent.