Spreadsheet Dashboard Marketing Automation
Analyze marketing campaigns and automation workflows with custom dashboards
Spreadsheet Dashboard Marketing Automation Overview
Spreadsheet Dashboard Marketing Automation is a powerful analysis tool in Odoo, integrating data from Marketing Automation to create detailed campaign performance reports. This module allows you to track email campaigns, automation workflows, conversion rates, lead scoring, and ROI in an intuitive spreadsheet interface.
Key points
• Integrate data from Marketing Automation, Email Marketing, and CRM
• Track email campaign performance: open rate, click rate, conversion
• Analyze automation workflows and participant journey
• Evaluate lead scoring and qualification effectiveness
• Calculate ROI and cost per acquisition for each campaign
• Compare performance between campaigns and channels
• Track conversion funnel from lead to customer
• Export data to Excel for advanced analysis
Terminology Reference
Key terminology in Spreadsheet Dashboard Marketing Automation:
Table
| Tiếng Việt | English | Mô tả |
|---|---|---|
| Chiến dịch | Campaign | Chương trình marketing có mục tiêu cụ thể |
| Automation Workflow | Automation Workflow | Quy trình tự động hóa marketing |
| Lead Scoring | Lead Scoring | Chấm điểm lead dựa trên hành vi và thuộc tính |
| Open Rate | Open Rate | Tỷ lệ mở email |
| Click Rate | Click Rate | Tỷ lệ click vào link trong email |
| Conversion Rate | Conversion Rate | Tỷ lệ chuyển đổi từ lead sang customer |
| ROI | Return on Investment | Lợi nhuận trên đầu tư |
| Cost per Acquisition | Cost per Acquisition | Chi phí để có được một customer |
| Participant | Participant | Người tham gia vào automation workflow |
| Activity | Activity | Hành động trong workflow (email, SMS, action) |
| Trigger | Trigger | Điều kiện kích hoạt workflow |
| Funnel | Funnel | Phễu chuyển đổi từ lead đến sale |
| Segment | Segment | Nhóm đối tượng được phân loại |
| A/B Test | A/B Test | Thử nghiệm so sánh hai phiên bản |
Creating Marketing Automation Dashboard
Process to create marketing automation analysis dashboard in Odoo:
Steps
1. Access Spreadsheet > Dashboards or Marketing Automation > Reporting
2. Click "Create" to create new dashboard
3. Select "Marketing Automation Analysis" template or start from blank
4. Add pivot table with data source from marketing.campaign or marketing.automation
5. Configure rows: Campaign, Workflow, Activity
6. Configure columns: Status, Date, Channel
7. Select measures: Participants, Opens, Clicks, Conversions, Revenue
8. Add filters: Date range, Campaign, Status, Segment
9. Create charts: Funnel chart for conversion, Line chart for trends
10. Add formulas to calculate open rate, click rate, conversion rate, ROI
11. Format dashboard with conditional formatting for performance metrics
12. Save and share dashboard with marketing team
Email Campaign Analysis
Analyze email campaign performance with key metrics:
Table
| Metric | Công thức | Benchmark |
|---|---|---|
| Open Rate | =Opened / Sent * 100 | 15-25% |
| Click Rate | =Clicked / Sent * 100 | 2-5% |
| Click-to-Open Rate | =Clicked / Opened * 100 | 10-15% |
| Conversion Rate | =Conversions / Sent * 100 | 1-3% |
| Bounce Rate | =Bounced / Sent * 100 | <2% |
| Unsubscribe Rate | =Unsubscribed / Sent * 100 | <0.5% |
Automation Workflow Analysis
Track and analyze automation workflow performance:
Key points
• Number of participants in each workflow
• Completion rate: Rate of completing entire workflow
• Drop-off analysis: Identify where participants leave workflow
• Activity performance: Performance of each activity in workflow
• Time to conversion: Time from workflow start to conversion
• Path analysis: Analyze different paths through workflow
• Trigger effectiveness: Evaluate trigger effectiveness
• A/B test results: Compare performance between variants
Lead Scoring Analysis
Analyze effectiveness of lead scoring system:
Key points
• Lead distribution by score ranges (cold, warm, hot)
• Conversion rate by score range
• Time to conversion by lead score
• Score accuracy: Compare predicted vs actual conversion
• Score distribution trends over time
• Identify scoring rules with highest impact
• Analyze behavior patterns of high-scoring leads
• Optimize scoring thresholds based on conversion data
ROI and Cost Analysis
Calculate ROI and analyze marketing costs:
Table
| Metric | Công thức | Mục đích |
|---|---|---|
| ROI | =(Revenue - Cost) / Cost * 100 | Lợi nhuận trên đầu tư |
| Cost per Lead | =Total Cost / Leads Generated | Chi phí để có một lead |
| Cost per Acquisition | =Total Cost / Customers Acquired | Chi phí để có một customer |
| Customer Lifetime Value | =Avg Order Value * Purchase Frequency * Lifespan | Giá trị trọn đời khách hàng |
| ROAS | =Revenue / Ad Spend | Return on ad spend |
Conversion Funnel Analysis
Analyze conversion funnel to optimize marketing:
Key points
• Visualize funnel from visitor → lead → opportunity → customer
• Calculate conversion rate for each funnel stage
• Identify bottlenecks: Stages with high drop-off rate
• Compare funnel performance between campaigns
• Analyze time spent in each funnel stage
• Segment funnel analysis by source, channel, segment
• A/B test different funnel approaches
• Optimize funnel based on data insights
Campaign Comparison
Compare performance between campaigns to identify best practices:
Key points
• Side-by-side comparison of key metrics (open rate, conversion, ROI)
• Identify top-performing campaigns and analyze success factors
• Compare performance by channel (email, SMS, social)
• Analyze seasonal trends and timing impact
• Segment comparison: Performance by audience segments
• Content analysis: Identify messaging patterns that work
• Budget efficiency: ROI comparison between campaigns
• Learn from failures: Analyze underperforming campaigns
Best Practices
Tips and strategies to optimize Marketing Automation dashboard:
Key points
• Create separate dashboards for different stakeholders (executives, managers, specialists)
• Use cohort analysis to track campaign performance over time
• Set up automated alerts when metrics exceed or fall below thresholds
• Integrate with CRM data to track full customer journey
• Regular A/B testing and document results in dashboard
• Monitor competitor benchmarks and industry standards
• Track attribution: Identify which touchpoints drive conversions
• Use predictive analytics to forecast campaign performance
• Document campaign learnings and best practices
• Schedule regular dashboard reviews with marketing team