Page-Level Analytics: See What Really Matters
Don't just know if someone opened your document. See exactly which pages they read, how long they spent on each section, and what they skipped. Make data-driven decisions with granular insights.
What is Page-Level Analytics?
Page-level analytics goes beyond simple "document opened" notifications. Instead of just knowing someone viewed your PDF, you get detailed insights into how they engaged with each individual page.
The Difference
Basic Analytics: "John opened your pitch deck"
Page-Level Analytics: "John spent 45 seconds on your problem slide, 2 minutes on the solution, skipped the team slide, and spent 3 minutes on pricing"
What You Can Track
⏱️ Time Per Page
See exactly how long viewers spend on each page. Identify which sections capture attention and which get skipped.
📊 Page Views
Track how many times each page is viewed. See if readers return to specific sections multiple times.
🔄 Reading Order
Understand the sequence in which pages are read. See if viewers jump around or read linearly.
📈 Engagement Heatmap
Visual heatmap showing which pages get the most attention across all viewers. Spot patterns instantly.
⏭️ Skip Rate
Identify pages that viewers consistently skip. Optimize your content based on real behavior.
🔁 Re-read Rate
See which pages viewers return to. High re-read rates indicate important or confusing content.
Why Page-Level Analytics Matter
🎯 Optimize Your Content
Stop guessing what works. Page-level analytics show you exactly which sections of your documents resonate with readers and which need improvement.
- Identify pages that consistently get skipped
- See which sections capture the most attention
- Understand where readers lose interest
- A/B test different versions of key pages
- Optimize document flow based on reading patterns
💡 Understand Reader Intent
Different reading patterns reveal different levels of interest and intent:
- Quick skim (5-10 seconds per page): Low interest or time-constrained
- Focused reading (30-60 seconds per page): Engaged and interested
- Deep study (2+ minutes per page): Highly engaged, likely decision-maker
- Selective reading: Looking for specific information
- Multiple passes: Very high interest, comparing options
📊 Qualify Leads Better
Not all document views are equal. Page-level analytics help you identify truly engaged prospects:
- Score leads based on pages viewed and time spent
- Identify hot prospects who read pricing and case studies
- Flag concerns when key pages are skipped
- Prioritize follow-ups based on engagement depth
Real-World Use Cases
🚀 Pitch Deck Analytics
When fundraising, every slide matters. Page-level analytics help you understand investor interest and concerns:
Example: Investor Engagement Pattern
- Cover slide: 5 seconds (expected)
- Problem slide: 45 seconds (good engagement)
- Solution slide: 2 minutes (very interested!)
- Market size: 30 seconds (validated)
- Business model: 1.5 minutes (strong interest)
- Team slide: 10 seconds (skipped - potential concern)
- Traction: 2.5 minutes (very interested)
- Financials: 3 minutes (deep dive - great sign)
- Ask slide: 1 minute (considering investment)
Insight: This investor is highly engaged with your business model and traction but may have concerns about the team. Address this proactively in your follow-up.
💼 Sales Proposal Analytics
Understand which products or services prospects are most interested in:
- See which service descriptions get the most attention
- Identify pricing concerns based on time spent
- Track engagement with case studies and testimonials
- Understand if technical specs are being reviewed
- See if decision-makers focus on ROI sections
📚 Content Performance
For whitepapers, ebooks, and educational content:
- Identify which chapters are most valuable to readers
- See where readers drop off
- Understand which examples resonate
- Optimize content length based on engagement
- A/B test different content structures
How DocIQ Tracks Page-Level Engagement
Advanced Tracking Technology
DocIQ uses sophisticated PDF.js-based rendering combined with precise event tracking to capture granular engagement data:
- Viewport tracking: We track which page is actually visible in the viewer
- Active time measurement: Only count time when the tab is active and in focus
- Scroll behavior: Track how users navigate through your document
- Interaction events: Capture clicks, zooms, and other interactions
- Session reconstruction: Replay exactly how someone read your document
Accurate Time Tracking
Our time tracking is highly accurate because we:
- Exclude idle time when users switch tabs or windows
- Account for page load times
- Detect and filter bot traffic
- Normalize for different reading speeds
- Provide confidence scores for engagement metrics
Analytics Dashboard Features
📊 Page Heatmap
Visual representation of engagement across all pages. Instantly see hot and cold spots in your document.
📈 Time Series Charts
Track how page engagement changes over time. See trends and patterns across multiple viewers.
👥 Individual Viewer Analysis
Drill down into specific viewers. See exactly how each person engaged with your document.
📊 Aggregate Statistics
Average time per page, median engagement, and statistical analysis across all viewers.
🔍 Engagement Funnel
See how many viewers make it through each page. Identify drop-off points in your document.
📥 Data Export
Export page-level analytics to CSV or JSON for further analysis in your own tools.
Comparison with Basic Analytics
| Metric | Basic Analytics | Page-Level Analytics |
|---|---|---|
| Document opened | ✅ Yes | ✅ Yes |
| Total time spent | ✅ Yes | ✅ Yes |
| Time per page | ❌ No | ✅ Yes |
| Pages viewed | ❌ No | ✅ Yes |
| Reading order | ❌ No | ✅ Yes |
| Skip detection | ❌ No | ✅ Yes |
| Re-read tracking | ❌ No | ✅ Yes |
| Engagement heatmap | ❌ No | ✅ Yes |
Best Practices
📝 Optimize Based on Data
- Move important information to high-engagement pages
- Shorten or remove consistently skipped pages
- Add more detail to pages with high re-read rates
- Improve clarity on pages with low engagement
- Test different page orders based on reading patterns
🎯 Segment Your Audience
- Compare engagement patterns between different viewer types
- Create different versions for different audiences
- Personalize follow-ups based on pages viewed
- Identify power users vs casual browsers
📊 Set Benchmarks
- Track average time per page for your documents
- Identify your best-performing pages
- Set engagement goals for key pages
- Monitor trends over time
Frequently Asked Questions
How accurate is the time tracking?
Very accurate. We only count active time when the document is in focus and visible. We exclude idle time, tab switches, and other non-engagement periods.
Can viewers tell they're being tracked?
Yes, we believe in transparency. Viewers see a small "Powered by DocIQ" badge. The tracking is non-intrusive and doesn't affect the viewing experience.
What if someone quickly scrolls through the entire document?
We track actual time spent, not just page views. Quick scrolling will show very low time per page, helping you identify skimmers vs engaged readers.
Can I see the exact sequence someone read pages?
Yes! The analytics dashboard shows the exact reading order for each viewer, including timestamps for each page view.
How do you handle multi-page views (e.g., 2-page spread)?
We track each visible page independently. If two pages are visible simultaneously, we track engagement for both.
Start Tracking Page-Level Engagement
Stop guessing what works. Get granular insights into how people engage with your documents and optimize for better results.