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Analytics Dashboard

Gain deep insights into your community’s health and growth with social.plus Console’s comprehensive analytics. Track user engagement, content performance, moderation effectiveness, and business metrics to make data-driven decisions.

User Analytics

Monitor user activity, engagement patterns, and growth metrics

Content Analytics

Track content performance, interaction rates, and trending topics

Safety & Moderation Metrics

Review moderation queue health, accuracy & policy impact

Business Metrics

Monitor MAU, retention, revenue impact, and subscription analytics

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Key Metrics Overview

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Community Health Indicators

Daily Active Users (DAU)
  • Unique users engaging with your platform daily
  • Breakdown by feature usage (posts, comments, chat, etc.)
  • Comparison with historical trends and benchmarks
Monthly Active Users (MAU)
  • Unique users active within the past 30 days
  • Critical for billing and subscription management
  • Growth rate and retention analysis
Session Analytics
  • Average session duration and frequency
  • Feature usage patterns within sessions
  • User journey and navigation flows
Content Creation Rates
  • Posts, comments, messages created per day/week/month
  • Creator-to-consumer ratios indicating community balance
  • Content type distribution and preferences
Interaction Metrics
  • Likes, reactions, shares, and comment rates
  • Time-to-engagement and viral coefficient
  • Content reach and impression analytics
Content Quality
  • Flagging rates and moderation actions per content type
  • User-reported issues and resolution rates
  • Content lifecycle and engagement decay patterns
User Acquisition
  • New user registrations and onboarding completion rates
  • Acquisition channel effectiveness and attribution
  • Geographic distribution and demographics
Retention Analysis
  • Day 1, Day 7, Day 30 user retention rates
  • Cohort analysis showing long-term engagement patterns
  • Churn analysis and at-risk user identification
Network Effects
  • Friend connections and social graph density
  • Community formation and group dynamics
  • Viral growth coefficients and referral patterns

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Analytics Dashboard Features

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Real-time Monitoring

Live Insights: Use real-time dashboards to quickly identify and respond to trending content, unusual activity patterns, or community issues as they emerge.
  • Live Activity Feed: Current user actions and content creation
  • Trending Content: Posts and topics gaining rapid engagement
  • System Alerts: Unusual patterns requiring immediate attention
  • Performance Monitoring: API response times and system health

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Historical Analysis

  • Trend Analysis: Long-term patterns in user behavior and engagement
  • Seasonal Patterns: Identify recurring trends and optimize for peak times
  • Event Impact: Measure the effect of feature releases or campaigns
  • Comparative Analysis: Benchmark performance against previous periods

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Custom Dashboards

Create tailored views for different stakeholders:
  • Executive Dashboard: High-level KPIs and business metrics
  • Community Manager: Moderation alerts and engagement trends
  • Product Team: Feature usage and user feedback analytics
  • Marketing Team: Acquisition, retention, and campaign performance

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Key Analytics Areas

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User Behavior Analytics

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Content Performance Metrics

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Content Creation

Track volume, type, and quality of user-generated content
2

Engagement Analysis

Measure likes, comments, shares, and time spent viewing content
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Viral Potential

Identify content with high sharing rates and community impact
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Quality Assessment

Monitor flagging rates and moderation actions per content piece

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Moderation Effectiveness

Track the health and safety of your community:
  • Flagging Patterns: Types and frequency of content reports
  • Resolution Times: How quickly moderation issues are addressed
  • Appeal Rates: User satisfaction with moderation decisions
  • False Positive Rates: Accuracy of automated moderation systems

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Advanced Analytics Features

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Cohort Analysis

Understanding user retention and engagement over time:
  • Registration Cohorts: Track users by signup date and analyze retention
  • Feature Adoption: See how new features impact different user groups
  • Behavioral Segmentation: Group users by activity patterns and preferences
  • Lifetime Value: Calculate user value and contribution to community

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Predictive Analytics

Data Privacy: Ensure all analytics comply with privacy regulations and user consent requirements. Anonymize or aggregate data appropriately.
  • Churn Prediction: Identify users at risk of leaving the platform
  • Growth Forecasting: Project user growth and resource needs
  • Content Trend Prediction: Anticipate emerging topics and interests
  • Moderation Risk Assessment: Flag potentially problematic content early

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A/B Testing Integration

Measure the impact of changes and optimizations:
  • Feature Rollouts: Compare engagement before and after new features
  • UI/UX Changes: Measure user behavior changes from interface updates
  • Policy Changes: Assess community response to new guidelines
  • Content Algorithms: Test different content ranking and recommendation approaches

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Reporting & Export

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Automated Reports

Set up regular reports for different stakeholders:
  • Daily Summaries: Key metrics and alerts for community managers
  • Weekly Reviews: Engagement trends and community health indicators
  • Monthly Business Reports: MAU, revenue impact, and growth metrics
  • Quarterly Analysis: Strategic insights and long-term trend analysis

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Custom Exports

  • Data Export: Download raw data for external analysis
  • API Access: Programmatic access to analytics data
  • Integration Support: Connect with business intelligence tools
  • Real-time Feeds: Stream analytics data to external systems

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Using Analytics for Decision Making

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Community Management

  • Identify Engagement Opportunities: Find underutilized features or content gaps
  • Optimize Moderation: Adjust policies based on flagging patterns and community feedback
  • Plan Events: Schedule community events during peak engagement times
  • Content Strategy: Promote content types that drive the highest engagement

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Product Development

  • Feature Prioritization: Focus development on highly-used or requested features
  • User Experience: Identify friction points in user journeys
  • Performance Optimization: Address features causing user drop-off
  • New Feature Impact: Measure success of recent releases

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Business Strategy

  • Growth Planning: Forecast resource needs based on user growth trends
  • Market Analysis: Understand user demographics and geographic distribution
  • Revenue Optimization: Identify opportunities for monetization and retention
  • Competitive Positioning: Benchmark performance against industry standards

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Getting Started with Analytics

Set Up Dashboards

Configure custom dashboards for your team’s needs

Define KPIs

Establish key performance indicators for your community

Automated Alerts

Create alerts for important metrics and thresholds

Export & Integration

Set up data exports and third-party tool integrations

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Best Practices

  • Regular Review: Schedule weekly analytics reviews to identify trends early
  • Metric Focus: Choose 5-10 key metrics rather than tracking everything
  • Action-Oriented: Ensure each metric has a clear action plan when thresholds are met
  • Context Awareness: Consider external factors when interpreting data changes
  • Privacy First: Always respect user privacy and comply with data protection regulations