Content Performance Analyzer

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Overview

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What the Agent Needs to Accomplish

• Analyze blog post performance
• Track content engagement metrics
• Calculate content ROI
• Identify top-performing content
• Recommend content topics
• Track content trends over time

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How Pylar Helps

• Unified Content View: Combining blog data, analytics, and conversion data
• Real-time Analysis: Querying current content performance
• ROI Calculation: Automated content ROI calculations
• Trend Analysis: Identifying content performance trends
• Recommendation Engine: Data-driven content recommendations

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Without Pylar vs With Pylar

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Without Pylar

• ❌ Multiple systems (CMS, analytics, CRM)
• ❌ Manual content analysis
• ❌ Difficult to correlate content with conversions
• ❌ Time-consuming ROI calculations

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With Pylar

• ✅ Single endpoint for all content data
• ✅ Automated performance analysis
• ✅ Real-time ROI tracking
• ✅ Easy content optimization

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Step-by-Step Implementation

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Step 1: Connect Data Sources

1. Connect CMS (Blog posts, content metadata)
2. Connect Analytics (Page views, engagement, time on page)
3. Connect CRM (Content-to-lead conversions)

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Step 2: Create Content Views

CREATE VIEW content_performance AS
SELECT 
  c.post_id,
  c.title,
  c.category,
  c.publish_date,
  c.author,
  a.page_views,
  a.unique_visitors,
  a.avg_time_on_page,
  a.bounce_rate,
  l.leads_generated,
  l.conversions,
  -- Engagement score
  (a.page_views * 0.3 + a.unique_visitors * 0.4 + 
   (a.avg_time_on_page / 60) * 0.3) as engagement_score,
  -- ROI
  (l.conversions * 100) / NULLIF(a.page_views, 0) as conversion_rate
FROM cms.posts c
LEFT JOIN analytics.page_metrics a ON c.post_id = a.post_id
LEFT JOIN crm.content_leads l ON c.post_id = l.post_id;

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Step 3: Create MCP Tools

• analyze_content_performance(post_id: string, start_date: date, end_date: date)

• get_top_performing_content(metric: string, limit: number, category: string)

• calculate_content_roi(post_id: string, period: string)

• recommend_content_topics(based_on: string, limit: number)

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Example Agent Interactions

1. ‘10 Ways to Improve Sales’ - 45K views, 8% conversion rate, $12K revenue
2. ‘Customer Success Guide’ - 32K views, 6.5% conversion, $8.5K revenue
3. ‘Product Feature Deep Dive’ - 28K views, 5.2% conversion, $6K revenue”

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Outcomes

• Content ROI: 40% improvement
• Engagement: 30% increase in average engagement
• Conversion Rate: 25% improvement
• Content Strategy: Data-driven topic selection

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Next Steps

• Marketing Campaign Optimizer Example
• A/B Testing Assistant Example