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Tìm Hiểu Thêm Về Phân Tích

  • Chỉ số nào có sẵn trong Li2 ? Li2 cung cấp các chỉ số như lượt nhấp, lượt quét, nguồn giới thiệu, vị trí địa lý, thiết bị và thời gian tương tác. Dữ liệu được tổng hợp từ tất cả điểm tiếp xúc (link, mã QR).
  • Nguồn giới thiệu nào bạn có thể xem trong chỉ số nhấp và quét? Bạn có thể xem nguồn từ email, mạng xã hội (như Facebook, Instagram, Zalo), quảng cáo, trực tiếp hoặc các nền tảng khác. Dữ liệu được phân loại rõ ràng để phân tích hiệu quả kênh.

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Các Chỉ số Hiệu suất Chính

  • Tổng Lượt Truy cập (Total Visits): Tổng số lượt truy cập hoàn chỉnh trên tất cả các kênh (bao gồm cả Clicks và Scans).
  • Lượt Nhấp (Click): Số lượt nhấp vào liên kết ngắn .
  • Lượt Quét (Scan): Số lần Mã QR được quét.
  • Hiệu suất Hàng đầu (Top Performance): Điểm chạm có hiệu suất cao nhất kèm theo các số liệu hàng ngày.

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Lọc và Phân tích Dữ liệu

Bạn có thể tùy chỉnh phạm vi dữ liệu phân tích:
  1. Lọc Tùy chọn: Lọc dữ liệu theo ngày, tag (thẻ) hoặc kênh để xem hiệu suất của các chiến dịch cụ thể.
  2. Phân tích Theo khoảng thời gian: Sử dụng bộ chọn ngày để xem xu hướng hiệu suất qua các giai đoạn.

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Data Insights and Analysis

Current Analysis Capabilities:
  • Analyze touchpoint performance using tag-based filtering
  • Review performance trends across different date ranges
  • Identify top-performing referrer sources
  • Understand geographic performance distribution
Optimization Opportunities:
  • Focus marketing efforts on high-performing regions
  • Optimize touchpoints for primary device types
  • Leverage successful referrer sources
  • Adjust campaigns based on visit rate data
Near Real-Time Data:
  • Analytics update with minimal delay through optimized caching
  • Monitor campaign performance as it happens
  • Quick response to traffic changes and trends
  • Immediate visibility into touchpoint effectiveness
Data Freshness:
  • Backend caching mechanism ensures fast loading
  • Balance between real-time updates and system performance
  • Reliable data for immediate decision-making

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Analytics Dashboard Components

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Global Analytics View

Main Dashboard Elements:
  • Overall Visits Summary: Total visits with click/scan breakdown
  • Top Performance: Highest performing touchpoint identification
  • Referrer Analysis: Bar chart showing traffic source distribution
  • Device Breakdown: Pie chart of OS and device type usage
  • Geographic Distribution: Location-based visit analysis with visit rates

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Individual Touchpoint Analytics

Touchpoint-Specific Insights:
  • Focused Performance Data: Analytics for single touchpoint
  • Same Metric Categories: Visits, referrers, devices, and location data
  • Comparative Context: Performance relative to account averages
  • Detailed Attribution: Specific traffic source analysis for optimization
Access Method: Navigate to any touchpoint details page and click the Analytics tab to view touchpoint-specific performance data with the same comprehensive metrics available in the global view.

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Understanding Your Analytics Data

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Key Metrics Interpretation

Visit vs Click vs Scan

Total Visits = Clicks (LINK channel) + Scans (QR channel). Track overall touchpoint engagement across all channels.

Referrer Insights

Traffic Sources help identify which platforms and channels drive the most engagement to optimize marketing spend.

Device Analytics

OS/Device Data guides touchpoint optimization and user experience decisions for primary audience devices.

Geographic Performance

Location Data reveals regional effectiveness and helps target geographic marketing efforts.

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Strategic Applications

Data-Driven Decision Making:
  • Identify high-performing touchpoints for scaling
  • Optimize marketing spend based on referrer performance
  • Adjust creative and messaging for primary device types
  • Focus geographic targeting on high-conversion regions
Performance Monitoring:
  • Use tag-based filtering to analyze specific campaigns
  • Track improvement trends over time with date range analysis
  • Establish performance baselines for new campaigns
Understanding Your Audience:
  • Device Preferences: Optimize user experience for dominant platforms
  • Geographic Distribution: Understand market penetration and opportunities
  • Traffic Sources: Identify most effective marketing channels
  • Engagement Patterns: Compare LINK vs QR channel preferences
Marketing Strategy Development:
  • Tailor content for primary device types and operating systems
  • Develop region-specific marketing approaches
  • Optimize marketing channel mix based on referrer performance
  • Plan QR vs LINK channel strategies based on audience behavior

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Current vs Future Analytics

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Available Now

Current Analytics Features: All users currently have access to the complete analytics dashboard with visits tracking, referrer analysis, device insights, and geographic data, regardless of tier.
Currently Available:
  • Complete analytics dashboard for all users
  • Tag-based and date-range filtering
  • Real-time performance monitoring
  • Comprehensive traffic source analysis
  • Device and geographic insights
  • Individual touchpoint analytics

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Coming Soon Features

Planned Premium Features:
  • Advanced filtering and segmentation options
  • Channel performance comparison (LINK vs QR analysis)
  • Enhanced geographic insights with city-level data
  • Advanced referrer tracking with UTM parameter analysis
  • Conversion funnel analysis and user journey tracking
  • Comparative analysis across touchpoints and campaigns
Tier Differentiation:
  • Basic analytics will remain available for Free tier users
  • Premium tier will gain access to advanced analytics features
  • Enhanced reporting and data export capabilities
Future Export Features:
  • CSV export of analytics data for external analysis
  • PDF report generation for stakeholder sharing
  • Automated report scheduling and email delivery
  • Custom report builder with metric selection
Enhanced Analysis:
  • Integration with external analytics platforms
  • API access for custom analytics solutions
  • Advanced data visualization options
  • Historical data retention and trending

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Getting Started with Analytics

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Best Practices for Analytics

1

Set up organized tagging

  1. Create consistent tags for campaigns, channels, and audiences
  2. Use tag-based filtering to analyze specific campaign performance
  3. Compare performance across different tag categories
  4. Track campaign effectiveness over time
2

Regular monitoring routine

  1. Check daily performance in Top Performance section
  2. Review referrer trends to optimize marketing channels
  3. Monitor geographic performance for regional opportunities
  4. Analyze device data to optimize user experience
3

Data-driven optimization

  1. Use analytics insights to improve touchpoint performance
  2. Focus marketing efforts on high-performing referrer sources
  3. Optimize touchpoints for primary device types
  4. Adjust geographic targeting based on visit rate data

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Analytics Workflow Integration

Campaign Planning

Use historical analytics data to plan new campaigns and set performance benchmarks.

Performance Monitoring

Regular analytics review to identify trends and optimization opportunities.

Optimization Cycles

Iterative improvement based on analytics insights and performance data.

Strategic Reporting

Use analytics data to report on marketing effectiveness and ROI to stakeholders.

Touchpoint Performance

Detailed guide to analyzing individual touchpoint analytics and optimization

Campaign Analytics

Using tag-based filtering for comprehensive campaign performance analysis

Geographic Insights

Understanding and optimizing based on location-based performance data

Device Analytics

Optimizing touchpoint experience based on device and OS analytics

Tags Management

Setting up effective tagging strategies for comprehensive analytics filtering

Creating Touchpoints

Building trackable touchpoints with analytics optimization in mind
Ready to dive into your analytics? View your analytics dashboard → or learn about touchpoint performance →