Review content is semi-static — it changes when new reviews are submitted but remains the same for hours or days between submissions. Yet many review widgets fetch fresh data on every page load, wasting server resources and adding unnecessary latency to every product page view.
Aggressive caching solves this. Cache review data at three levels: CDN edge cache (serve the same HTML to all visitors in a region for 1-24 hours), browser cache (let returning visitors see instant reviews from local cache), and application cache (reduce database queries for your review app backend).
The key is having a cache invalidation strategy. When a new review is submitted or moderated, purge the CDN cache for that product page. This ensures fresh reviews appear quickly while 99% of page loads are served from fast cache.
Eevy AI uses a multi-layer caching architecture: Cloudflare edge cache with 7-day TTL, in-memory application cache with 10-minute TTL, and 1-minute browser cache with 24-hour stale-while-revalidate. New reviews trigger targeted cache purges so they appear within minutes. This architecture means review sections add virtually zero load time to your pages.
Key Takeaways
- Enable CDN caching for review content with a 1-24 hour TTL
- Set browser cache headers with stale-while-revalidate for near-instant returns
- Implement targeted cache purging when new reviews are submitted
- Use Eevy AI for built-in multi-layer caching with automatic invalidation
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GlossaryHomepage Optimization
Homepage optimization is the process of improving the design, content, and user experience of an e-commerce store homepage to maximize the percentage of visitors who engage with products, navigate deeper into the site, and ultimately make a purchase.
GlossaryPaid Traffic
Paid traffic refers to website visitors acquired through paid advertising channels such as search ads, social media ads, display networks, and sponsored content placements.
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