📈 Analytics & Reporting với AI
Data không có nghĩa gì nếu không được phân tích và trình bày đúng cách. AI giúp bạn biến raw data thành actionable insights.
Analytics Foundation
Marketing Metrics Hierarchy:
| Level | Metric | Focus |
|---|---|---|
| 🎯 TOP | REVENUE | Ultimate goal |
| 👥 L2 | CUSTOMERS | Acquisition |
| 📋 L3 | LEADS | Pipeline |
| 🌐 L4 | TRAFFIC | Awareness |
Mỗi tầng metrics hỗ trợ tầng phía trên. Track từ dưới lên để optimize toàn bộ funnel.
Key Metrics by Channel:
| Channel | Primary Metrics | Secondary |
|---|---|---|
| Organic | Sessions, Rankings | Bounce, Time |
| Paid Social | ROAS, CPA | CTR, CPM |
| Paid Search | ROAS, Conv Rate | Quality Score |
| Revenue, Opens | CTR, Unsubs | |
| Social | Engagement, Reach | Growth, Saves |
Data Collection Setup
Tracking Checklist:
- ☑️ Google Analytics 4 installed
- ☑️ Conversion events configured
- ☑️ UTM parameters standardized
- ☑️ Goals/conversions set up
- ☑️ E-commerce tracking (if applicable)
- ☑️ Cross-domain tracking (if needed)
- ☑️ Form submissions tracked
- ☑️ Phone call tracking
- ☑️ Chat/chatbot tracking
- ☑️ CRM integration
UTM Convention:
| Parameter | Meaning | Example |
|---|---|---|
| utm_source | platform | facebook, google, email |
| utm_medium | channel type | cpc, organic, email |
| utm_campaign | campaign name | spring_sale_2024 |
| utm_content | ad variation | video_1, image_2 |
| utm_term | keyword | (for search) |
📝 Example URL:
minai.com.vn/course?utm_source=facebook&utm_medium=cpc&utm_campaign=spring_2024&utm_content=testimonial_video
AI-Powered Data Analysis
Data Analysis Prompt:
"Analyze this marketing data:
[Paste data - traffic, conversions, revenue, etc.]
Please:
- 📊 Calculate key metrics (list what's calculable)
- 📈 Identify trends (up/down/stable)
- 🔗 Find correlations between metrics
- ⚠️ Highlight anomalies or outliers
- 📉 Compare to benchmarks (provide if available)
- 🏆 Rank channels by efficiency
- 💡 Provide 5 specific insights
- ✅ Recommend 3 action items
Format as executive summary first, then details."
Example Data Analysis:
| Metric | Value | Change |
|---|---|---|
| Traffic | 45,230 sessions | +12% MoM |
| Conversions | 892 leads | +8% MoM |
| Revenue | $23,450 | +15% MoM |
| CAC | $26.28 | ✅ improved from $29.12 |
💡 TOP INSIGHTS:
- Email driving 40% of revenue at lowest CAC
- Paid social CTR dropped 20% (creative fatigue)
- Organic traffic up but conversion down
- Mobile conversion 50% of desktop
- Wednesday-Thursday best performing days
✅ RECOMMENDED ACTIONS:
- Increase email frequency by 1/week
- Refresh paid social creatives
- A/B test mobile checkout flow
Trend Analysis Prompt:
"Here's 3 months of weekly data:
[Week | Traffic | Leads | Revenue] [data rows]
Analyze trends:
- 📊 Overall direction for each metric
- 📈 Week-over-week growth rates
- 🗓️ Seasonal patterns
- 🔗 Correlation between metrics
- 🔮 Forecast next 4 weeks
- 📍 Identify inflection points
- 💡 Explain likely causes
Visualize with ASCII charts if helpful."
Dashboard Design
Dashboard Structure:
🔝 TOP ROW: KPI SUMMARY BAR
Revenue | Leads | CAC | ROAS
📊 MIDDLE ROW:
| Left Panel | Right Panel |
|---|---|
| TRAFFIC TREND | CONVERSION FUNNEL |
| [Line Chart] | [Funnel Chart] |
📈 BOTTOM ROW:
| Left Panel | Right Panel |
|---|---|
| CHANNEL BREAKDOWN | TOP CAMPAIGNS |
| [Pie Chart] | [Table] |
📉 FOOTER: TREND VS TARGET
[Combo Chart - Actual vs Target over time]
Dashboard Elements Prompt:
"I need to create a marketing dashboard.
Audience: [CEO/Marketing team/Client] Goals: [what decisions should it inform?] Data available: [list data sources] Update frequency: [real-time/daily/weekly]
Suggest:
- 🎯 Top 5 KPIs to display
- 📊 Best chart types for each
- 🔍 Filter/segment options
- 📉 Benchmark comparisons
- ⚠️ Alert thresholds
- 📐 Layout recommendation"
Report Writing với AI
Weekly Report Prompt:
"Write weekly marketing report from this data:
[Paste key metrics with WoW comparisons]
Include sections:
- 📋 Executive Summary (3 bullet points)
- ⭐ Performance Highlights
- 📊 Channel Breakdown (table)
- 🏆 Wins of the Week
- ⚠️ Challenges/Concerns
- ✅ Actions Taken
- 🎯 Next Week Focus
Keep under 1 page, focus on insights not just numbers. Tone: [professional/casual] Audience: [executive/team/client]"
Monthly Report Template:
# 📊 Monthly Marketing Report
[Month Year]
## Executive Summary
- Overall performance: [up/down X%]
- Key win: [highlight]
- Key challenge: [issue]
## Key Metrics
| Metric | This Month | Last Month | YoY | Target |
|---|---|---|---|---|
| Revenue | $X | $X | +X% | $X |
| Leads | X | X | +X% | X |
| CAC | $X | $X | -X% | $X |
## Channel Performance [Analysis per channel]
## Campaign Highlights [Top performing campaigns]
## Insights & Learnings
- [Insight with data support]
- [Insight with data support]
- [Insight with data support]
## Recommendations
- [Action item + expected impact]
- [Action item + expected impact]
## Next Month Priorities
- Priority 1
- Priority 2
- Priority 3
Insight Generation Prompt:
"From this marketing data: [paste data]
Generate insights using the "So What?" framework:
For each finding:
- 📊 WHAT: State the observation
- 🤔 SO WHAT: Why does this matter?
- ✅ NOW WHAT: What action should we take?
Give me 5 insights in this format."
Automated Reporting
Google Sheets + AI Workflow:
1️⃣ DATA COLLECTION (Auto)
Connect sources to Sheets
- Google Analytics → Sheets
- Ad platforms → Supermetrics
- CRM → Zapier
2️⃣ DATA PROCESSING (Auto)
Formulas calculate metrics
- Week-over-week changes
- Running averages
- Target vs actual
3️⃣ VISUALIZATION (Auto)
Charts update automatically
- Dashboard in Looker Studio
- Embedded charts in Sheets
4️⃣ NARRATIVE (AI)
AI writes insights
- Weekly summary prompt
- Copy to doc/email
- Human review 5 mins
5️⃣ DISTRIBUTION (Auto)
Scheduled delivery
- Email reports
- Slack notifications
- Stakeholder access
Automation Prompt:
"I want to automate my marketing reports.
Current process: [describe manual steps]
Data sources: [list all sources]
Report recipients: [who needs what]
Help me design automation:
- 🔗 Data pipeline setup
- ⚙️ Required integrations
- 📊 Calculation formulas
- 🤖 AI insight generation
- 📅 Distribution schedule
- 🛠️ Tools needed (prioritize free)"
Advanced Analytics Concepts
Attribution Analysis:
| Model | How It Works |
|---|---|
| First Touch | 100% to first interaction |
| Last Touch | 100% to final interaction |
| Linear | Equal credit to all touches |
| Position-based | 40/20/40 split |
| Time Decay | More credit to recent |
| Data-driven | AI-weighted by impact |
💡 Prompt: "Analyze this customer journey data and recommend the best attribution model for our business: [paste data]"
Cohort Analysis Prompt:
"Create cohort analysis from this data:
Users by signup date: [data] Retention by week: [data] Revenue by cohort: [data]
Analyze:
- 📈 Retention curves by cohort
- ⭐ Best/worst performing cohorts
- 🔍 What might explain differences
- 💰 Revenue per cohort over time
- 📊 Customer lifetime value estimates
- 💡 Recommendations to improve retention"
Funnel Analysis:
| Stage | Count | Conv % | Drop % |
|---|---|---|---|
| Impressions | 100K | 100% | - |
| Clicks | 2K | 2% | 98% |
| Landing Page | 1.8K | 90% | 10% |
| Form Start | 400 | 22% | 78% |
| Form Complete | 200 | 50% | 50% |
| Sale | 40 | 20% | 80% |
💡 Prompt: "Analyze this funnel and identify: 1) Biggest drop-off points, 2) Potential causes, 3) Optimization recommendations, 4) Expected impact of improvements"
Data Visualization Best Practices
Chart Selection Guide:
| Data Type | Best Chart | When to Use |
|---|---|---|
| Trend over time | Line | Traffic, revenue trends |
| Comparison | Bar | Channel comparison |
| Part of whole | Pie/Donut | Budget allocation |
| Correlation | Scatter | Spend vs revenue |
| Distribution | Histogram | Lead scores |
| Funnel | Funnel | Conversion stages |
| Geography | Map | Regional performance |
Visualization Prompt:
"I have this data to visualize: [describe data]
Audience: [who will see it] Goal: [what decision to inform]
Recommend:
- 📊 Best chart type and why
- ⭐ Key elements to highlight
- 🎨 Color scheme suggestions
- 📝 Annotations to add
- ⚠️ Common mistakes to avoid"
Tools Stack
| Tool | Use Case | Pricing |
|---|---|---|
| Google Analytics | Web analytics | Free |
| Looker Studio | Dashboards | Free |
| Supermetrics | Data pipeline | $99/mo |
| Tableau | Advanced viz | $70/user/mo |
| Power BI | Microsoft users | $10/user/mo |
| Mixpanel | Product analytics | Free tier |
| Amplitude | User analytics | Free tier |
Bài Tập Thực Hành
Build your analytics system:
- Audit current tracking setup
- Create UTM naming convention
- Build dashboard in Looker Studio
- Write first AI-assisted report
- Set up automated data pulls
- Present insights to team
Data-driven marketers win! 📈
Key Takeaways
- 📊 Track what matters - Not everything, just decisions
- 🎯 Insights over data - Numbers need context
- 🤖 Automate reports - Save time for analysis
- 📈 Visualize wisely - Right chart for right data
- 🔄 Iterate constantly - Dashboards evolve
Tiếp Theo
Bài tiếp theo: Personal Branding với AI - Xây dựng thương hiệu cá nhân mạnh mẽ trên digital platforms với AI support.
