Event Analytics

🎯 Module: Event Analytics

📍 Access:

After logging into UStat, navigate via left sidebar → [Event Analytics].

🧩 Functionality:

Tracks and analyzes custom user interactions on your website, including:Button clicks, Form submissions, Video plays, Scroll depth, Custom engagements
Provides multidimensional analysis of event frequency, user participation trends, and granular behavior tracking.

Key Use Cases:

• Conversion funnel optimization (CTAs, downloads, registrations)
• UI/UX interaction improvement
• Content engagement hotspots identification
• Campaign component performance validation

⚙️ Event Tracking Attribute Specification

The data-ustat attribute serves as the system's exclusive identifier for custom event tracking:

Description:

• The data-ustat ="custom_event_name" as the unique identifier for custom event tracking in the UStat system;
• The content in quotation marks is the name of the event, which can be customized (it is recommended to use English or pinyin naming for unified management);
• Support embedding Events tracking in any web page element, and the Ustat will automatically identify and collect user behaviors.

📄 Page Structure:

1. Filters (Top Bar)

• Time Range: Today/Yesterday, Week/Month, Last 7/30 Days, Custom ；
• Event Search: Keyword-based event lookup
• Metric Toggles: PV, UV, IPs, Sessions

2. Event Trend Charts (Bar/Line Graphs)

• Visualizes trigger frequency over time ；
• Granularity: Hourly/Daily
• Identifies peak engagement periods

3. Event Performance Table 

• Columns:(Event Name, Trigger Count, Unique IPs, Unique Visitors, Detail Button)
• Click the 【 Detail 】 Button → Drill-down analytics

4. Event Detail Dashboard

Per-event multidimensional analysis:

• Device Split (Desktop/Mobile)
• Browser/OS Distribution
• ISP Networks
• Screen Resolutions & Languages
• Geographic Heatmaps (Global/China)

✅ Best Practices:

• Strategic Tracking:
  Tag conversion-critical elements: BtnCheckout, FormContact, DownloadWhitepaper
• Maintain naming conventions: BtnLogin、MenuDownload、FormSubmit etc.；
• Cross-reference with Trend Analysis for traffic-event relationships
• Anomaly Detection:
  Investigate abnormal frequency spikes for implementation errors
  
• Iterative Optimization:
  Test placement/design based on low-engagement events