Custom Multi-Channel Attribution Model
Configure an attribution model that reflects the actual customer journey for Brazilian consumers.
Create an attribution model that distributes conversion credit fairly across channels, accounting for the typical multi-touch journey of Brazilian consumers.
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Prompt objective
Create an attribution model that distributes conversion credit fairly across channels, accounting for the typical multi-touch journey of Brazilian consumers.
Real use case
EduTech Pro invests $[BUDGET]/month across 5 channels but cannot determine the ideal budget allocation because Google Ads and Meta Ads both claim credit for the same sale. The current last-click model unfairly favors Google.
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Prompt
Develop a custom attribution model for [COMPANY NAME] investing $[BUDGET]/month across [CHANNEL LIST]. **1) Journey Mapping:** - Typical customer journey (average touchpoints: [NUMBER]) - Average time from first interaction to conversion: [DAYS] - Most common first-touch channels - Most common last-touch channels - Assist channels (mid-journey touchpoints) **2) Model Comparison:** Analyze the impact of each attribution model: | Channel | Last Click | First Click | Linear | Time Decay | Position-Based | Data-Driven | - Fill with hypothetical data based on company profile - Highlight the most significant differences **3) Recommended Model:** - Which model to adopt and why - Custom weights if position-based (e.g., 40% first, 20% middle, 40% last) - How to implement in GA4 + ad platforms **4) Implementation:** - Standardized UTMs (complete naming convention) - CRM → Google Ads → Meta Ads integration - Recommended lookback window - Cross-device tracking **5) Attribution Dashboard:** - Channel metrics with new model vs. last-click - Visualization of most common paths - Alerts for budget redistribution **6) Budget Optimization:** - Recommended budget per channel based on new model - Review frequency (monthly/quarterly) - Scenarios: +20% budget to channel X → projected impact Account for the Brazilian consumer journey (WhatsApp as a touchpoint, Google search before purchase, strong social media influence).
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