Day 6

Data Literacy for Managers

• Data without context is noise
• The right metric tells you what to do next
• The wrong metric gives you false confidence

Vanity vs. Sanity Metrics

The Funnel Leak Philosophy

Reading Analytics Like a Doctor

• High bounce on landing page → Mismatch between ad and page
• Low add-to-cart rate → Weak product page copy or pricing
• High cart abandonment → Checkout friction or trust deficit
• High traffic, zero conversions → Wrong audience intent

🤖 The AI Prompt: Data Analyst Persona

Act as a Senior Data Analyst specializing in
digital marketing conversion optimization.

I will provide raw tracking metrics.
Your job is to:

1. Identify macro trends
2. Locate conversion drop-off points
3. Flag behavioral anomalies
4. Recommend 3 tactical optimizations

Here is the data: [paste analytics data]

Google Search Console (GSC)

• The Ultimate SEO Tool: Shows exact search queries and ranking positions
• CTR Diagnostics: High impressions + low clicks = weak Title/Meta description
• Google Sites Friendly: Instantly verify via your existing GA4 connection

Hour 2: Digital Sandbox Lab

The AI Conversion Audit

1. Receive the mock analytics dataset
   A leaking conversion funnel scenario
2. Upload/paste data into your AI agent
3. Use the Data Analyst Persona Prompt
   Locate the 3 primary conversion bottlenecks
4. Draft an executive recommendation report
   Tactical optimizations with clear rationale

Key Takeaways

1. Vanity vs. Sanity — Only track what drives decisions
2. The Funnel Has Holes — Find and fix each leak
3. Data Needs Context — AI surfaces patterns; you supply meaning
4. CAC is the North Star — Links spend to business viability