Interaction to Next Paint (INP)
Interaction to Next Paint (INP) is a new Core Web Vital that measures a website's responsiveness to user interactions. INP replaced First Input Delay (FID) as an official ranking factor in March 2024 and provides a more comprehensive assessment of page interactivity.
What is Interaction to Next Paint (INP)?
Definition and Importance
INP measures the time between a user interaction (click, tap, keyboard input) and the next frame rendered by the browser. This metric captures all interactions during the entire page visit, not just the first one, providing a more realistic picture of actual user experience.
Why is INP Important?
- Ranking Factor: Official Google ranking factor since March 2024
- User Experience: Direct impact on perceived responsiveness
- Conversion Rate: Slow interactions lead to higher bounce rates
- Mobile Performance: Particularly critical for mobile devices with limited resources
INP Measurement and Thresholds
INP Measurement
INP is measured in milliseconds (ms) and captures:
- All Interactions: Clicks, taps, keyboard inputs
- Entire Session: From page load to exit
- 95th Percentile: The worst value from 95% of interactions
Thresholds
Main Causes of Poor INP Values
1. Long JavaScript Execution Times
Problem: Blocking JavaScript prevents fast responses
Solution:
- Implement code splitting
- Lazy loading for non-critical scripts
- Web Workers for heavy calculations
2. Main Thread Blocking
Problem: CPU-intensive tasks block the main thread
Solution:
- Asynchronous processing
- Use RequestIdleCallback
- Chunking of large datasets
3. Unoptimized Event Handlers
Problem: Heavy event handlers delay responses
Solution:
- Debouncing and throttling
- Event delegation
- Passive event listeners
4. Render-Blocking Resources
Problem: CSS and JavaScript delay rendering
Solution:
- Inline critical CSS
- Load JavaScript asynchronously
- Use resource hints
INP Optimization: Best Practices
JavaScript Optimization
1. Code Splitting
- Load only necessary code initially
- Dynamic imports for features
- Route-based code splitting
2. Web Workers
- Offload heavy calculations
- Image processing in workers
- Parallelize data processing
3. Event Handler Optimization
// Debouncing for search functions
const debouncedSearch = debounce(handleSearch, 300);
// Passive event listeners
element.addEventListener('scroll', handleScroll, { passive: true });
CSS Optimization
1. Critical CSS
- Inline above-the-fold CSS
- Load non-critical CSS asynchronously
- CSS minification
2. CSS Animations
- Use
transformandopacity - Use
will-changeproperty - Enable hardware acceleration
Resource Loading
1. Preloading
<link rel="preload" href="critical.js" as="script">
<link rel="preload" href="hero-image.jpg" as="image">
2. Lazy Loading
- Defer loading of images and videos
- Intersection Observer API
- Progressive enhancement
Tools for INP Measurement
Google Tools
1. PageSpeed Insights
- Lab data for INP
- Specific optimization suggestions
- Mobile and desktop analysis
2. Chrome DevTools
- Performance tab
- INP metrics in timeline
- Bottleneck identification
3. Google Search Console
- Field data for INP
- Core Web Vitals report
- Historical trends
Third-Party Tools
1. WebPageTest
- Detailed performance analysis
- Custom test configurations
- Video recording of interactions
2. GTmetrix
- Real-time INP measurement
- Competitor comparison
- Optimization recommendations
Monitoring and Tracking
Continuous Monitoring
1. Real User Monitoring (RUM)
- Collect real user data
- Field data vs. lab data
- Device and browser-specific analysis
2. Core Web Vitals Dashboard
- Automatic alerts on degradation
- Trend analysis over time
- Segmentation by pages and devices
Performance Budgets
1. Define INP Budgets
- Maximum INP value per page
- Warnings on threshold exceedance
- Integration into CI/CD pipeline
2. Regular Audits
- Weekly performance reviews
- A/B tests for optimizations
- Documentation of improvements
Common INP Problems and Solutions
Problem: Slow Search Function
Symptom: High INP values during search interactions
Solution:
- Implement debouncing (300ms)
- Server-side search for large datasets
- Cache search results
Problem: Heavy Forms
Symptom: Delays during form interactions
Solution:
- Progressive enhancement
- Optimize client-side validation
- Asynchronous form submission
Problem: Image Galleries
Symptom: High INP during image changes
Solution:
- Lazy loading for images
- Preload next images
- Optimized image formats (WebP, AVIF)
Future of INP Metrics
2025 Developments
1. Extended Metrics
- Interaction to First Paint (IFP)
- Interaction to Last Paint (ILP)
- Interaction Response Time (IRT)
2. AI-Based Optimization
- Automatic code optimization
- Predictive performance
- Intelligent resource loading
3. Mobile-First INP
- Device-specific thresholds
- 5G optimizations
- Progressive Web App metrics