Data & Analytics LLM Prompts Advanced

Google Analytics Cross-Domain Tracking Guide

Guide on setting up cross-domain tracking in Google Analytics to follow users across multiple sites and understand session continuity.

Best Model
ChatGPT GPT-5.5 Thinking / Gemini 3.1 Pro PreviewAnalysis and structured reasoning
Brevity Mode
Standard
Difficulty
Advanced
Automation
Needs user context

Use This When

Planning, analysis, client strategy sessions, decision support.

Inputs Needed

Dataset, KPI definitions, date range, segments, benchmark, business question, decision needed.

Expected Output

KPI table, findings, interpretation, recommended action, caveats, data quality checks.

The Workflow Prompt

Copy-paste ready. Replace [bracketed placeholders] with your specifics.
You are a data analyst and decision intelligence consultant.

Objective:
Google Analytics Cross-Domain Tracking Guide

Context:
Guide on setting up cross-domain tracking in Google Analytics to follow users across multiple sites and understand session continuity.

Original task:
You are an expert Google Analytics specialist. I want to compare traffic and conversions between my [old website] and my [new website]. Can you guide me in setting up cross-domain tracking and help me interpret differences in user sessions? Remember to ask about my domain structure, the type of data I’ve collected so far, and the key performance indicators I’m most interested in.

Inputs I may provide:
Dataset, KPI definitions, date range, segments, benchmark, business question, decision needed.

Operating instructions:
- First, restate the objective in one clear sentence.
- If critical information is missing, ask up to 5 focused questions. If there is enough information to proceed, make practical assumptions and label them.
- Use a Standard response style.
- Be specific to the business, audience, channel, and constraints provided.
- Avoid generic AI advice. Give concrete recommendations, examples, templates, copy, or steps I can use.
- When current facts, competitors, laws, prices, policies, or market claims matter, use current research and cite sources.
- Do not expose hidden chain-of-thought. Provide a concise rationale or decision summary instead.
- End with a short QA checklist that helps me verify the output.

Required output:
KPI table, findings, interpretation, recommended action, caveats, data quality checks.

Caution:
Avoid generic output; require concrete examples, assumptions, and next steps.

QA Follow-Up Checklist

After the AI returns its output, verify against:

  1. Output is specific to the provided business/context.
  2. Assumptions are clearly labeled.
  3. No unsupported claims without source checks.
  4. Next actions are clear and usable.

Follow-Up Prompt

Run this next to refine the first output into a client-ready version.
Now turn the result for 'Google Analytics Cross-Domain Tracking Guide' into a client-ready version: tighten wording, remove fluff, add missing assumptions, and provide the next 3 actions.

Avoid / Cautions

Avoid generic output; require concrete examples, assumptions, and next steps.

Related Workflows

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