Automated Reporting Schedule

Set up a fully automated reporting system for my Shopify store that delivers scheduled reports to the right people at the right time.

Store and Team Details:

  Store URL: [YOUR_STORE_URL]
  Shopify plan: [SHOPIFY_PLAN, e.g., Basic, Shopify, Advanced, Plus]
  Team members and roles: [TEAM_MEMBERS, e.g., “Owner: [email protected], Marketing: [email protected], Fulfillment: [email protected]”]
  Current reporting: [CURRENT_REPORTING, e.g., manual exports, basic Shopify email summaries]
  Preferred delivery: [DELIVERY_METHOD, e.g., email, Slack, Google Sheets auto-update, Notion]
  Automation tools available: [AUTOMATION_TOOLS, e.g., Shopify Flow, Zapier, Make, Google Apps Script, or “none”]


Automated Report Schedule:


  Daily Reports (delivered by [DAILY_TIME, e.g., 8am]):
Recipient: [DAILY_RECIPIENTS, e.g., store owner, marketing manager]
Contents:
    
      Yesterday’s revenue, orders, and AOV vs same day last week
      Conversion rate and sessions
      Top 5 products sold yesterday
      Any orders flagged for fraud review
      Inventory alerts: products that went out of stock
      Active discount codes and their usage count
      Format: concise summary, 10 lines maximum
    
  
  Weekly Reports (delivered [WEEKLY_DAY, e.g., Monday] morning):
Recipient: [WEEKLY_RECIPIENTS, e.g., full team]
Contents:
    
      Week’s total revenue, orders, and AOV vs previous week
      Traffic sources breakdown with week-over-week changes
      Top 10 products by revenue and top 10 by units sold
      Customer acquisition: new vs returning customer split
      Marketing campaign performance summary
      Fulfillment metrics: average ship time, open orders count
      Customer support summary: ticket volume, average response time
      Week’s highlights and lowlights (auto-flagged anomalies)
      Format: structured report with tables, 1-2 pages
    
  
  Monthly Reports (delivered 1st of each month):
Recipient: [MONTHLY_RECIPIENTS, e.g., owner, accountant]
Contents:
    
      Full month P&L summary: revenue, COGS, marketing spend, net profit
      Month-over-month and year-over-year comparison for all key metrics
      Customer cohort update: retention rates for recent cohorts
      Product performance quadrant (stars, cash cows, question marks, dogs)
      Inventory health: turnover rate, dead stock value, reorder needs
      Marketing ROI by channel for the month
      Top 3 wins and top 3 areas needing improvement
      Next month’s focus areas and targets
      Format: detailed report with charts, 3-5 pages
    
  
  Real-Time Alerts (as they occur):
    
      High-value orders above [HIGH_VALUE, e.g., $300]
      Stockouts on products selling more than [STOCKOUT_THRESHOLD, e.g., 2 units/day]
      Spike in refund requests (more than [REFUND_THRESHOLD, e.g., 3] in one day)
      Site downtime detection
      Unusual traffic spike or drop (more than [TRAFFIC_THRESHOLD, e.g., 50%] change vs average)
    
  
  Implementation Guide:
For each report, provide:
    
      Exact data sources and how to extract (API, export, or app)
      Automation tool configuration steps using [AUTOMATION_TOOLS]
      Template or formula for calculating each metric
      Scheduling configuration (cron schedule or trigger setup)
      Error handling: what happens if data pull fails
      Testing checklist before going live
    
  
  Maintenance and Iteration:
    
      Monthly review of report relevance (are people reading them?)
      Quarterly addition of new metrics as the business evolves
      Process for team members to request custom report modifications
      Backup plan if automation tool experiences downtime
      Documentation of all report configurations for team knowledge base
      Estimated setup time: [SETUP_HOURS, e.g., 4-6 hours] for full implementation