Measure and analyze your AI avatar video performance to optimize engagement and ROI.
Key Performance Metrics
View Metrics:
• Total Views: Overall video impressions
• Unique Viewers: Individual user count
• View Duration: Average watch time
• Completion Rate: Percentage watched to end
• Repeat Views: Returning viewer count
Engagement Metrics:
• Click-Through Rate (CTR): Percentage clicking CTA
• Interaction Rate: Comments, shares, saves
• Social Shares: Platform-specific sharing
• Bounce Rate: Immediate exits
• Time on Page: Total engagement duration
Conversion Metrics:
• Conversion Rate: Action completions
• Lead Generation: Form submissions
• Sales Impact: Revenue attributed
• Cost Per Acquisition (CPA): Cost per conversion
• Return on Ad Spend (ROAS): Revenue vs. spend
Avatar-Specific Metrics:
• Avatar Recognition: Brand recall rate
• Trust Score: Viewer credibility rating
• Avatar Preference: A/B test results
• Voice Clarity: Audio quality feedback
• Lip-Sync Accuracy: Visual quality score
Platform-Specific Analytics
TikTok Metrics:
• Average Watch Time
• Video Shares
• Profile Visits
• Follower Growth
• Sound Usage
Instagram Reels:
• Reach vs. Impressions
• Saves and Shares
• Account Follows
• Story Replies
• DM Responses
YouTube:
• Watch Time
• Subscriber Growth
• Card Clicks
• End Screen Engagement
• Audience Retention Graph
LinkedIn:
• Professional Engagement
• Lead Gen Forms
• Connection Requests
• InMail Responses
• Company Page Follows
Tracking and Measurement Tools
• Google Analytics: Website traffic and conversions
• Platform Native Analytics: Built-in insights
• UTM Parameters: Campaign tracking
• Conversion Pixels: Purchase tracking
• Heatmaps: Engagement visualization
Optimization Strategies
Based on View Metrics:
• Low completion rate: Shorten video length
• High bounce rate: Improve opening hook
• Low unique viewers: Expand targeting
• High repeat views: Create series content
Based on Engagement:
• Low CTR: Strengthen call-to-action
• Low shares: Add shareable value
• High comments: Engage with audience
• Low saves: Create evergreen content
Based on Conversions:
• Low conversion rate: Optimize landing page
• High CPA: Refine targeting
• Low ROAS: Test different avatars/messages
• Poor lead quality: Adjust qualification criteria
A/B Testing Framework
• Test one variable at a time
• Avatar types (realistic vs. professional)
• Voice models (V2 vs. V3)
• Script variations
• Background styles
• Video length (15s vs. 30s vs. 60s)
• CTA placement and wording
Reporting Best Practices
• Track metrics weekly
• Compare period-over-period
• Benchmark against industry standards
• Document successful patterns
• Share insights with team
• Adjust strategy based on data
With Tagshop.ai's video analytics integration, track performance across all platforms in one dashboard.