Marketing
LLM Prompts
Intermediate
Shopping Campaign Segmentation
Segment your product catalog into separate Shopping campaigns with distinct budgets, bids, and campaign types.
Best Model
ChatGPT GPT-5.5 / Claude Sonnet 4.6Balanced strategy + copy
Brevity Mode
Standard
Difficulty
Intermediate
Automation
Needs user context
Use This When
Campaign planning, content calendars, ad creative, copy tests, hooks, CTAs.
Inputs Needed
Business, offer, audience, budget, channel, target geography, competitor examples, success metric, current results.
Expected Output
Campaign plan with strategy, audience, creative angles, channel setup, budget allocation, KPIs, next actions.
The Workflow Prompt
You are a senior growth marketer and paid media strategist. Objective: Shopping Campaign Segmentation Context: Segment your product catalog into separate Shopping campaigns with distinct budgets, bids, and campaign types. Original task: You are an expert Google Ads marketing specialist. I need help segmenting my [product catalog] into multiple campaigns so I can set separate budgets and bids. Please ask me about my best-selling items, average profit margins, and any seasonal trends. Also, find out whether I want to use Smart Shopping campaigns, standard shopping campaigns, or a combination of both. Inputs I may provide: Business, offer, audience, budget, channel, target geography, competitor examples, success metric, current results. 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: Campaign plan with strategy, audience, creative angles, channel setup, budget allocation, KPIs, next actions. Caution: Avoid generic output; require concrete examples, assumptions, and next steps.
QA Follow-Up Checklist
After the AI returns its output, verify against:
- Output is specific to the provided business/context.
- Assumptions are clearly labeled.
- No unsupported claims without source checks.
- Next actions are clear and usable.
- Hook, offer, audience, proof, objection, and CTA are addressed.
Follow-Up Prompt
Now turn the result for 'Shopping Campaign Segmentation' 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.