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Track and analyze the performance of your livestream content with comprehensive analytics. The Livestream Analytics Dashboard provides real-time insights into viewer engagement, watch time, and stream performance metrics.
Livestream Analytics

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Overview

The Livestream Analytics offers a centralized view of all your livestream metrics, helping you understand viewer behavior, content performance, and engagement patterns.

Performance Metrics

Track total streams created, views, unique viewers, and watch time with historical comparisons

Engagement Analytics

Monitor viewer engagement with per-stream and per-user watch time metrics

Stream Listings

Browse all livestreams with detailed performance data including views, duration, messages, and reactions

Date Range Analysis

Compare performance across custom date ranges with percentage change indicators
Migration Notice: The new room-based livestreams appear in the Live Streams (New) section, while legacy streams remain available under Live Streams (Legacy) for accounts still using the previous system.

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Accessing the Dashboard

1

Navigate to Video Analytics

From the social.plus Portal sidebar, locate the Video Analytics section
2

Select Live Stream

Click on Live stream (marked with “New” badge) to access the latest analytics dashboard
3

Choose Date Range

Use the date range picker to filter analytics for your desired time period

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Key Metrics

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Total Streams Created

Description: Number of livestreams created during the selected periodDisplays:
  • Total count of streams
  • Percentage change compared to previous period
  • Trend visualization over time
Use Cases:
  • Monitor content creation frequency
  • Identify peak streaming periods
  • Track creator activity levels
This metric helps you understand your streaming cadence and content production rate. A consistent or growing number of streams indicates active creator engagement.Insights:
  • High Volume: Strong creator activity and content supply
  • Low Volume: May indicate need for creator incentives
  • Fluctuating: Seasonal or event-driven patterns

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Total Views

Description: Total times your livestreams were watched across all streamsCalculation: Sum of all view instances, including repeat views from the same userDisplays:
  • Total view count
  • Percentage change vs previous period
  • Time-series chart showing view trends
Use Cases:
  • Measure overall content reach
  • Assess audience interest levels
  • Compare performance across periods
Increase Views:
  • Promote upcoming streams through notifications
  • Schedule streams during peak audience hours
  • Create compelling stream titles and thumbnails
  • Encourage repeat viewing with series content
Benchmarking:
  • Compare views per stream ratio
  • Track growth trends month-over-month
  • Identify top-performing content types

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Total Unique Viewers

Description: Number of distinct users who watched at least once during the periodCalculation: Unique user count across all streams, counted once per user regardless of view frequencyKey Differences:
  • Total Views: Counts every view instance (repeats included)
  • Unique Viewers: Counts each person only once
Example: If User A watches 5 times = 5 views, 1 unique viewer
Insights from Unique Viewers:High Unique Viewers + Low Total Views:
  • Broad reach but low engagement
  • Users watching briefly or once
  • Consider improving content retention
Low Unique Viewers + High Total Views:
  • Strong loyal audience
  • High repeat viewership
  • Good content retention
Both Growing:
  • Healthy expansion
  • Good balance of new and returning viewers

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Total Minutes Watched

Description: Combined watch time across all viewers and streamsCalculation: Sum of all minutes watched by all viewers across all streamsWhy It Matters:
  • Primary indicator of content value
  • Reflects true engagement depth
  • Key metric for monetization and growth
Interpreting Watch Time:High Watch Time:
  • Engaging, valuable content
  • Good stream quality and pacing
  • Strong audience retention
Low Watch Time:
  • Short stream durations
  • Early viewer drop-off
  • Content-audience mismatch
Optimization:
  • Analyze drop-off points
  • Improve content pacing
  • Enhance production quality
  • Create compelling opening segments

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Minutes Watched Per Stream

Description: Average watch time earned by each livestreamCalculation: Total Minutes Watched ÷ Total Streams CreatedBenchmark Values:
  • < 1 minute: Very low engagement, investigate issues
  • 1-5 minutes: Below average, room for improvement
  • 5-15 minutes: Good engagement
  • > 15 minutes: Excellent engagement
What This Tells You:
  • Content quality and appeal
  • Stream duration effectiveness
  • Topic relevance to audience
Improving This Metric:
  • Create compelling openings (first 30 seconds critical)
  • Maintain consistent pacing
  • Deliver value throughout stream
  • Use engagement prompts (Q&A, polls)
  • Optimize stream length for content type

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Minutes Watched Per User

Description: Average watch time per individual viewerCalculation: Total Minutes Watched ÷ Total Unique ViewersInsights:
  • Individual user engagement level
  • Content value perception
  • Audience loyalty indicator
High Minutes Per User:
  • Loyal, engaged audience
  • High-value content
  • Strong retention
Low Minutes Per User:
  • Casual viewers
  • Discovery/browsing behavior
  • Potential targeting issues
Strategies to Improve:
  • Build community through interaction
  • Create consistent streaming schedules
  • Develop content series to encourage return visits
  • Implement viewer rewards/recognition
  • Enhance production quality

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All Live Streams Table

The streams table provides detailed performance data for each individual livestream, allowing you to identify top performers and analyze specific content. Livestream Table with Performance Metrics

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Table Columns

Content: Stream title and creator nameInformation Displayed:
  • Stream title (top line)
  • Creator name prefixed with “By” (bottom line)
Usage:
  • Identify specific streams
  • Track creator-specific performance
  • Analyze title effectiveness
Content: Date and time when stream was createdFormat: DD MMM YYYY, HH:MM (e.g., “11 Feb 2026, 14:43”)Features:
  • Sortable column (click header to sort)
  • Helps identify recent vs older content
  • Useful for time-based analysis
Content: Total length of the livestreamFormat: HH:MM:SS (Hours:Minutes:Seconds)Insights:
  • Optimal stream length analysis
  • Content pacing evaluation
  • Correlation with engagement metrics
Note: “00:00:00” indicates a stream that was created but not started or ended immediately
Content: Total number of times the stream was viewedIncludes:
  • Live viewers during broadcast
  • Replay/recording views (if enabled)
  • Repeated views from same users
Analysis: Compare with unique viewers to understand repeat viewing behavior
Content: Number of distinct users who watched the streamUsage:
  • Measure reach per stream
  • Calculate average views per unique viewer
  • Identify high-appeal content
Example: 10 views with 5 unique viewers = 2 views per person average
Content: Total minutes watched for this specific streamCalculation: Sum of watch time from all viewersKey Metric: Indicates overall engagement value of the streamAnalysis: Divide by unique viewers to get average watch time per viewer
Content: Number of chat messages sent during the livestreamIndicates:
  • Viewer interaction level
  • Community engagement
  • Real-time conversation activity
High Messages:
  • Active, engaged audience
  • Interactive content style
  • Strong community presence
Content: Total number of reactions (likes, emojis) during streamEngagement Indicator:
  • Quick engagement metric
  • Emotional response to content
  • Viewer appreciation level
Usage: Reactions require less effort than messages, indicating broader audience sentiment

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Table Features

Sorting: Click on column headers marked with sort icons to order streams by that metric (ascending or descending)
Row Click: Click on any stream row to view detailed analytics for that specific livestream, including time-series charts and comprehensive stream information
Export: Use the export button (top right of table) to download stream data for external analysis

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Date Range Comparison

The dashboard automatically compares your selected period with the equivalent previous period, showing percentage changes for all metrics.

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Understanding Comparisons

Positive Change (+%):
  • Metric increased compared to previous period
  • Growth in the measured activity
No Change (0%):
  • Metric remained the same
  • Consistent performance
Negative Change (-%):
  • Metric decreased compared to previous period
  • Requires investigation if significant
Context Matters: A 0% change might indicate stagnation in some cases or stable performance in others. Consider your growth goals and market conditions when interpreting trends.

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Best Practices

Recommended Review Frequency:
  • Daily: For active streaming platforms during campaigns
  • Weekly: For regular content creators
  • Monthly: For strategic planning and goal setting
Key Actions:
  • Check percentage changes for significant shifts
  • Identify trending streams to replicate success
  • Spot issues early (declining metrics)
  • Adjust content strategy based on data
Analyze Metrics Together:
Engagement Rate = Minutes Watched Per User
Retention Rate = Unique Viewers ÷ Views
Content Value = Minutes Watched Per Stream
Reach Efficiency = Unique Viewers ÷ Streams Created
Healthy Patterns:
  • Growing unique viewers + stable watch time per user
  • Increasing streams + proportional view growth
  • Rising minutes watched across all metrics
Data-Driven Improvements:
  1. Identify Top Performers
    • Sort by minutes watched
    • Analyze what makes them successful
    • Replicate winning patterns
  2. Optimize Timing
    • Review created dates of high-performing streams
    • Identify best days/times for your audience
    • Schedule streams accordingly
  3. Content Strategy
    • Compare stream titles and topics
    • Measure engagement metrics per category
    • Focus on high-performing content types
  4. Engagement Enhancement
    • Streams with high messages/reactions = successful interaction
    • Study and replicate engagement techniques
    • Build community through consistent interaction
Low Views/Unique Viewers:
  • Improve promotion and discoverability
  • Optimize stream titles and descriptions
  • Leverage push notifications
  • Schedule during peak audience times
Low Watch Time:
  • Improve content quality and pacing
  • Create compelling openings
  • Enhance production value
  • Reduce technical issues
Low Messages/Reactions:
  • Encourage interaction through prompts
  • Ask questions and respond to viewers
  • Create interactive content (Q&A, polls)
  • Build community culture

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Use Cases

Content Performance Analysis

Identify which livestreams resonate most with your audience by comparing views, watch time, and engagement metrics across streams

Creator Insights

Track individual creator performance by filtering the streams table by creator name to understand productivity and engagement

Audience Behavior

Analyze viewer patterns through unique viewer counts vs total views to understand audience loyalty and repeat viewing habits

ROI Measurement

Calculate return on investment for livestream initiatives by tracking engagement metrics against production costs and resources

Content Strategy Planning

Use historical data and trends to plan future content calendars, optimal streaming times, and content themes

Growth Tracking

Monitor platform growth through trending metrics and percentage changes to validate strategy effectiveness

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Comparing with Legacy Analytics

For accounts that have migrated from the legacy livestream system, both analytics dashboards remain accessible during the transition period.

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Key Differences

FeatureLive Stream (New)Live Stream (Legacy)
Stream TypeRoom-based livestreamsChannel-based livestreams
Date CoverageStreams created after migrationStreams created before migration
Analytics DepthEnhanced metrics and visualizationsStandard metrics
Real-time UpdatesMore frequent updatesStandard update frequency
Export OptionsEnhanced export capabilitiesBasic export
Migration Recommendation: New livestreams should use the room-based system (Live Stream New) to take advantage of improved features and analytics capabilities.

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Individual Livestream Analytics

Access comprehensive analytics for individual livestream sessions by clicking on any stream row in the table above. Each detail page includes viewer engagement metrics, chat activity, reactions, and detailed stream information. Individual Livestream Analytics Page
Back Navigation: Use the breadcrumb navigation at the top (Live stream analytics) to return to the overview page.

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Detail Page Metrics

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Total Unique Viewers

Description: Number of distinct people who watched this specific livestream at least onceDisplayed With:
  • Total count of unique viewers
  • Time-series chart showing viewer count throughout the stream duration
  • X-axis: Stream timeline (HH:MM:SS format)
  • Y-axis: Number of unique viewers at that moment
Use Cases:
  • Identify peak viewership moments
  • Understand viewer join/drop patterns
  • Correlate content with viewership changes
Time-Series Insights:Steady Growth: Content is discoverable and engaging, viewers staying throughoutEarly Peak, Then Decline: Strong initial interest but retention issuesMid-Stream Peak: Viral moment or notification spikeLate Growth: Word-of-mouth effect or delayed notifications

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Total Chat Messages

Description: Number of chat messages sent during the livestreamDisplayed With:
  • Total message count
  • Time-series chart showing message frequency over time
  • Visualization of conversation peaks and valleys
Indicates:
  • Audience engagement level
  • Interactive content effectiveness
  • Community participation
High Message Activity: Engaged, interactive audience with effective community buildingMessage Spikes: Identify what triggered conversation — controversial or exciting moments, Q&A effectivenessLow Message Activity: Passive viewing behavior — opportunity to add interactive elementsOptimization Tips:
  • Ask questions to prompt chat
  • Acknowledge and respond to messages
  • Run polls or interactive segments

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Total Reactions

Description: Number of reactions (likes, emojis, etc.) sent during the livestreamDisplayed With:
  • Total reaction count
  • Time-series chart showing reaction frequency
  • Visual representation of emotional response moments
Reactions vs Messages Ratio:
  • High Reactions, Low Messages: Passive but appreciative audience
  • High Both: Very engaged, interactive community
  • Low Both: Need to improve engagement strategies

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Stream Information

The Stream Info panel provides comprehensive metadata about the livestream session.
  • Stream ID: Unique alphanumeric identifier (e.g., 694a196acb7aa9a4dc1fef9a) — useful for API integration and debugging
  • Creator: Username or display name of the stream creator
  • Created At: Timestamp when the livestream was created (format: DD MMM YYYY, HH:MM:SS)
  • Started At: Exact timestamp when the livestream began broadcasting
  • Ended At: Timestamp when the livestream ended
  • Duration: Total length of the livestream (HH:MM:SS)
  • Total Minutes Watched: Sum of all time spent watching by all viewers
  • Total Views: Number of view instances (includes repeat views)
  • Average Concurrent Viewers: Average number of viewers watching simultaneously (Total Viewer-Minutes ÷ Stream Duration)
  • Peak Concurrent Viewers: Maximum number of viewers watching at the same time — indicates highest engagement moment

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Time-Series Chart Analysis

All three engagement metrics display time-series charts showing activity throughout the stream.
1

X-Axis: Time Progression

Shows stream timeline from start (00:00:00) to end. Hover over any point to see exact timestamp and value.
2

Y-Axis: Value Scale

Number of viewers, messages, or reactions at that moment. Adjusts automatically to data range.
3

Pattern Recognition

Identify peaks (highest engagement), valleys (low activity), and trends (growth, decline, or stability).
Growing engagement throughout stream — content getting more interesting, word-of-mouth sharing, or delayed notifications reaching users.
Declining engagement over time — content became repetitive, technical issues, or stream running too long.
Sudden increases in activity — exciting moments, Q&A segments, or viral sharing. Review content at spike timestamp and replicate tactics.
Consistent, stable engagement — high flat indicates solid audience; low flat suggests room for improvement.

Social Analytics

Comprehensive analytics for posts, communities, and user interactions

Chat Analytics

Detailed metrics for channel and direct message engagement

Activity Analytics

User activity baseline and engagement patterns