Marketing
LLM Prompts
Intermediate
Google Ads High-Ticket Lead Filtering
Filter out low-intent clicks in high-ticket Google Ads campaigns by qualifying leads with keyword strategy.
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: Google Ads High-Ticket Lead Filtering Context: Filter out low-intent clicks in high-ticket Google Ads campaigns by qualifying leads with keyword strategy. Original task: You are an expert Google Ads marketing specialist. I offer [high-ticket items or premium services] and need to ensure my campaigns aren’t flooded with low-intent clicks. Ask me about how I currently qualify leads, the landing page process, and whether I have any retargeting or qualification quiz in place. Also discuss if I’d be open to experimenting with higher CPCs to attract fewer but more relevant clicks. 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: Use live web research or source documents before finalizing claims.
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 'Google Ads High-Ticket Lead Filtering' into a client-ready version: tighten wording, remove fluff, add missing assumptions, and provide the next 3 actions.
Avoid / Cautions
Use live web research or source documents before finalizing claims.