Campaign Performance Reporter for E-commerce
An AI agent that handles campaign reporting for marketing teams in e-commerce & retail businesses. Triggered by scheduled daily check, it extracts structured data, summarises, produces a report, running fully autonomously.
Marketing teams juggle data from multiple platforms, making reporting a weekly chore. This agent consolidates performance data, flags anomalies, and delivers formatted reports automatically.
Ideal For
- Marketing managers
- Content leads
- Growth teams
- Teams in e-commerce & retail
Data Sources
- Spreadsheet (Google Sheets, Excel)
- Database / Data warehouse
Trigger
Workflow starts when: Scheduled daily check
Collect Data
Retrieve data from: Spreadsheet (Google Sheets, Excel), Database / Data warehouse
Extract structured data
Perform: extract structured data on the collected data
Summarize
Perform: summarize on the collected data
Produce report
Perform: produce report on the collected data
Send notification
Perform: send notification on the collected data
Complete & Log
Log activity, update records, and close the workflow
If: All ad platforms have synced data
Then: Generate consolidated weekly performance report
If: Campaign spend is pacing ahead of budget
Then: Alert campaign manager with pacing projections
If: CTR drops below benchmark by >20%
Then: Flag underperforming ads for creative refresh
If: Attribution data is incomplete
Then: Generate partial report with data gap disclaimer
Never expose API keys or credentials in outputs
Only perform actions within defined workflow scope
- If data source is unavailable, retry 3 times then alert admin
- If AI response confidence is below 70%, flag for human review
- Tasks processed per day
- Error/failure rate
- Report accuracy vs. manual
- Time saved per reporting cycle
- Stakeholder report satisfaction score
System Prompt
You are a Marketing AI assistant specialized in campaign reporting. ## Your Role You help marketing teams by automating campaign reporting tasks. Your communication style is concise. ## Capabilities You can: extract structured data, summarize, produce report, send notification. ## Guidelines - Always be accurate and verify data before acting - Flag uncertain cases for human review - Maintain professional tone - Never make promises or commitments on behalf of the organization - Respect data privacy and confidentiality - Log all significant actions for audit purposes ## Constraints - Only access data sources explicitly provided - Do not perform actions outside your defined scope - Escalate edge cases rather than guessing
Starter User Prompt
Process this scheduled daily check: [INSERT DATA HERE] Perform campaign reporting according to your guidelines. Provide: 1. Classification/analysis 2. Recommended action 3. Draft output (if applicable) 4. Any flags or concerns
Handoff Prompt
This task requires human attention. Here is what I have processed: ## Summary [Brief description of what was done] ## Analysis [Key findings and classification] ## Recommended Action [What should happen next] ## My Concerns [Any flags, uncertainties, or edge cases] Please review and respond when available. Please review and advise how to proceed.
# Campaign reporting Agent - Standard Operating Procedure ## Purpose This SOP defines how the Campaign reporting Agent operates within the organization. ## Trigger Scheduled daily check ## Data Sources - Spreadsheet (Google Sheets, Excel) - Database / Data warehouse ## Process Steps 1. Extract structured data 2. Summarize 3. Produce report 4. Send notification ## Human Oversight None – fully autonomous ## Escalation Path 1. Agent flags issue 2. Notification sent to assigned reviewer 3. If no response in 4 hours, escalate to backup 4. Log all escalations ## Review Schedule Monthly review of agent performance and rules
- 1Define access credentials for all data sources
- 2Set up automation platform (n8n/Zapier)
- 3Configure AI API access (OpenAI/Claude)
- 4Create trigger workflow
- 5Connect input data sources
- 6Implement extract structured data step
- 7Implement summarize step
- 8Implement produce report step
- 9Implement send notification step
- 10Test with sample data
- 11Configure error handling and alerts
- 12Set up logging and monitoring
- 13Document and train team
- 14Deploy to production
- 15Schedule first review
n8n Workflow
## n8n Workflow Outline ### Trigger Node - Type: Scheduled daily check - Configuration: Set up webhook/schedule/email trigger ### Input Nodes - Spreadsheet (Google Sheets, Excel): HTTP Request or native integration node - Database / Data warehouse: HTTP Request or native integration node ### Processing Nodes 1. OpenAI Node: Extract structured data 2. OpenAI Node: Summarize 3. Function/HTTP Node: Produce report 4. Function/HTTP Node: Send notification ### Output Nodes - Update destination systems - Send notifications - Log activity
Zapier Zap
## Zapier Workflow Outline ### Trigger (Zap starts when...) - Scheduled daily check ### Data Lookup Steps - Search/Lookup in Spreadsheet (Google Sheets, Excel) - Search/Lookup in Database / Data warehouse ### Action Steps 1. ChatGPT by Zapier: Extract structured data 2. ChatGPT by Zapier: Summarize 3. App Action: Produce report 4. App Action: Send notification ### Final Actions - Update records - Send completion notification
Example Use Cases
- •Consolidate multi-platform ad data into a single performance dashboard
- •Alert campaign managers when spend pacing exceeds the planned budget
- •Identify underperforming creatives and flag for refresh
Tools Needed
Frequently Asked Questions
What does the Campaign reporting Agent do?
An AI agent that handles campaign reporting for marketing teams in e-commerce & retail businesses. Triggered by scheduled daily check, it extracts structured data, summarises, produces a report, running fully autonomously.
What tools do I need to implement this?
You'll need n8n or Zapier (workflow automation), OpenAI API or Claude API (AI processing), Google Sheets, Airtable. Most implementations use n8n or Zapier as the workflow automation layer.
How long does implementation take?
A basic implementation typically takes 1-2 days for simple workflows, or 1-2 weeks for complex integrations with multiple data sources.
How do I handle errors and edge cases?
The blueprint includes exception handling rules and escalation paths. Configure alerts for failures and set confidence thresholds for human review.
What level of technical skill is needed?
Basic familiarity with workflow automation tools (Zapier/n8n) is helpful. No coding is required for most implementations, though API integration experience helps for advanced setups.
Best For
- •You have regular campaign reporting tasks
- •The process follows clear, repeatable rules
- •Current manual handling creates delays or errors
- •Team capacity is stretched on routine work
Not Ideal For
- •Tasks require complex judgment or creativity
- •Volume is too low to justify setup time
- •Rules change frequently and unpredictably
- •Data quality is poor or inconsistent
Review Before Launch
- All integrations tested with real credentials
- Error handling and retry logic configured
- Notification channels set up for alerts
- Team trained on reviewing exceptions
- KPI dashboard configured
- Rollback plan documented
Ready to implement your Campaign reporting Agent? Use this blueprint to guide your setup in n8n, Zapier, or your preferred automation platform.
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