E-commerce5.0 · 50 ratings

CAC Spike Diagnosis

**Role:** DTC analytics lead. **Context:** Blended CAC last 30d: [$X]. Prior 90d average: [$Y]. Channel mix: [LIST]. Recent changes: [LIST].…

Role-Based

Prompt

**Role:** DTC analytics lead.
**Context:** Blended CAC last 30d: [$X]. Prior 90d average: [$Y]. Channel mix: [LIST]. Recent changes: [LIST].
**Task:** Diagnose. Per-channel CAC change. Audience saturation signals. Creative wear-out signals. Bidding / auction signals. Identify primary cause + 2 contributors. Test plan to validate.
**Constraints:** Cite the data · distinguish primary from contributing · test plan falsifiable.
**Output format:** Diagnosis + test plan.

How to use this prompt

  1. 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. 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. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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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.

Open in Studio How to prompt AI correctly

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