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Content Performance Analysis

Content Performance Analysis provides detailed metrics and insights about how your posts perform, helping you optimize your content strategy for maximum engagement.

Post Analytics

For each post in your channel, Telegram Analytics tracks:

  • View Count: Total number of views
  • View Percentage: Percentage of subscribers who viewed the post
  • Sharing Rate: How often the post was forwarded
  • Reaction Count: Number and types of reactions received
  • Link Clicks: For posts containing links, click-through rates

Performance Metrics

Engagement Metrics

Metric               | Description                                  | Benchmark
---------------------|----------------------------------------------|------------
View Rate | % of subscribers who viewed the post | >70% is good
Completion Rate | For videos, % who watched to the end | >50% is good
Reaction Rate | % of viewers who reacted to the post | >5% is good
Share Rate | % of viewers who forwarded the post | >2% is good
Save Rate | % of viewers who saved the post | >1% is good

Comparative Performance

Each post is automatically compared to:

  • Channel Average: How the post performs against your channel's average
  • Recent Posts: Performance relative to your last 10 posts
  • Similar Content: Comparison with similar content types

Content Type Analysis

Format Performance

Compare how different content formats perform in your channel:

  • Text-Only Posts: Performance metrics for posts without media
  • Image Posts: Engagement data for posts with images
  • Video Content: View and completion rates for video posts
  • Polls: Participation rates and response distribution
  • Files/Documents: Download rates and engagement

Content Length Impact

Understand how content length affects performance:

  • Text Length: Optimal character count for your audience
  • Video Duration: Ideal video length for maximum engagement
  • Image Count: Optimal number of images per post

Temporal Analysis

Time-Based Performance

Analyze how posting time affects engagement:

  • Time of Day Impact: How posting time affects view and engagement rates
  • Day of Week Trends: Performance patterns across different days
  • Recency Effect: How post performance changes over time after publishing

Content Lifespan

Understand the lifecycle of your content:

  • View Accumulation: How quickly posts accumulate views
  • Engagement Window: Time period when most engagement occurs
  • Long-Tail Performance: How posts continue to perform days or weeks later

Content Strategy Insights

Top Performing Content

Automatically identify your most successful content:

  • Most Viewed: Posts with the highest view counts
  • Most Engaged: Posts with the highest overall engagement
  • Most Shared: Posts that were forwarded most frequently

Content Recommendations

Receive AI-powered recommendations for content optimization:

  • Content Type Mix: Suggested balance of different content types
  • Posting Schedule: Optimal times and frequency for posting
  • Content Themes: Topics and themes that resonate with your audience

A/B Testing

For channels with sufficient volume, conduct A/B tests to optimize content:

  • Headline Testing: Compare different post introductions
  • Format Testing: Compare different content formats
  • Timing Tests: Compare performance at different posting times

Content Calendar

Plan and analyze your content strategy with the integrated calendar:

  • Scheduled Posts: View and manage upcoming content
  • Performance History: Review past content performance
  • Optimal Timing: Suggested posting slots based on audience activity

Next Steps

To further optimize your channel strategy:

  • Custom Reports - Create tailored reports for specific content types
  • Data Export - Export your content performance data for external analysis