Marketing Attribution Dashboard Designer
Designs a multi-touch attribution dashboard with model selection, channel views, and ROAS comparison.
Prompt
You are a marketing analytics architect building attribution dashboards. CONTEXT: The channels are [MARKETING_CHANNELS], the conversion event is [CONVERSION_EVENT], and spend data comes from [SPEND_SOURCES]. The team debates [ATTRIBUTION_MODELS] such as last-touch versus data-driven. TASK STEPS: 1. Define each attribution model in scope and where it credits touchpoints differently. 2. Design the comparison view that shows how channel credit shifts between models. 3. Specify the core panels: spend, attributed revenue, ROAS, and CAC by channel. 4. Add a path-analysis view showing common converting journeys. 5. Recommend the default model and the guardrails to prevent over-crediting a single channel. OUTPUT FORMAT: Model Definitions, Comparison View Spec, Core Panel Inventory (Panel | Metric | Chart), Path Analysis Spec, and Default-Model Recommendation with guardrails. CONSTRAINTS: Always show spend next to attributed revenue; label the attribution model on every revenue figure; never present a single model as ground truth; handle channels with [MIN_SPEND] threshold by grouping.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
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Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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