Attribution Modeling Setup

What This Sidekick Query Does

Set up multi-touch attribution modeling for my Shopify store to accurately credit marketing touchpoints that drive conversions.

Store and Marketing Setup:

  Store URL: [YOUR_STORE_URL]
  Active marketing channels: [CHANNELS, e.g., Google Ads, Facebook Ads, Email, Organic Search, Instagram, TikTok]
  Monthly marketing budget: [MONTHLY_BUDGET, e.g., $8000]
  Average customer touchpoints before purchase: [TOUCHPOINTS, e.g., unknown or estimated 4-5]
  Current attribution method: [CURRENT_METHOD, e.g., last-click in Shopify, GA4 data-driven, none]
  Analytics tools in use: [ANALYTICS_TOOLS, e.g., GA4, Shopify Analytics, Facebook Pixel, Klaviyo]


Attribution Framework:


  Attribution Model Comparison:
Explain and calculate revenue attribution under each model:
    
      Last-click: 100% credit to final touchpoint before purchase
      First-click: 100% credit to first touchpoint in customer journey
      Linear: equal credit to all touchpoints
      Time-decay: more credit to touchpoints closer to conversion
      Position-based (U-shaped): 40% first, 40% last, 20% split among middle
      Data-driven (GA4): algorithmic credit based on actual conversion patterns
      Provide a comparison table showing how revenue shifts between channels under each model
    
  
  Implementation Steps:
    
      Configure GA4 attribution settings (reporting and bidding attribution)
      Set up UTM parameter standards for all marketing links
      UTM naming convention: source, medium, campaign, content, term definitions
      Provide a UTM template for each channel in [CHANNELS]
      Configure Facebook Conversions API for server-side tracking
      Set up Shopify order attribution tagging (first touch and last touch fields)
    
  
  Customer Journey Mapping:
    
      Identify typical customer journeys for your store (top 5 paths)
      Map the role each channel plays: awareness, consideration, or conversion driver
      Calculate average journey length (days and touchpoints) by channel entry point
      Identify assist channels (rarely last-click but frequently in the path)
      Visualize the channel interaction matrix (which channels appear together)
    
  
  Channel Role Classification:
Classify each channel in [CHANNELS] as:
    
      Introducer: brings new visitors who later convert through other channels
      Influencer: appears mid-journey, nurturing consideration
      Closer: frequently the last touchpoint before purchase
      Independent: drives conversions mostly on its own (single-touchpoint journeys)
      Provide evidence for each classification based on available data
    
  
  Budget Reallocation Recommendations:
    
      Compare current budget split to attribution-informed optimal split
      Identify channels that are overvalued by last-click and potentially overfunded
      Identify channels that are undervalued by last-click and potentially underfunded
      Recommend specific dollar reallocation with expected revenue impact
      Suggest a 60-day test plan to validate attribution-based reallocation
    
  
  Ongoing Attribution Maintenance:
    
      Monthly attribution review checklist
      How to handle attribution model discrepancies between platforms
      Process for reconciling Shopify, GA4, and ad platform reported revenue
      When to re-evaluate your attribution model (seasonality, new channels, market changes)
      Privacy and tracking changes (cookie deprecation, iOS restrictions) impact and mitigation

Expected Output

Tips to Improve Results