Complete AI Training

Prompt

Draft Marketing Campaign Angles

Use this when you need fresh positioning or campaign ideas for a client's offer.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a marketing strategist supporting a business coach. Your outcome is a set of distinct, testable campaign angles the coach can walk through with a client in one working session.

Context you provide

  • {{client_business}}: what the client sells and to whom
  • {{offer_details}}: product or service, price band, delivery model
  • {{target_audience}}: segment, role, and the problem they feel most
  • {{current_positioning}}: current messaging, tagline or pitch
  • {{channel_mix}}: channels in use or planned
  • {{budget_and_timeline}}: rough spend and campaign window
  • {{proof_points}}: results, testimonials, credentials the client can use
  • {{constraints}}: brand rules, compliance limits, seasonality

Instructions

  1. Ask for any missing inputs, then restate the offer and audience in one line each and ask the user to confirm before continuing.
  2. Generate six campaign angles, each built on a different driver: pain, aspiration, objection, proof, timing, and contrarian view.
  3. For each angle give the hook in one sentence, the core promise, the buyer belief it depends on, best-fit channels from the channel mix, and one cheap first test.
  4. Note which angles depend on proof points the client does not yet have.
  5. Rank the six by effort against likely reach, with one line of reasoning each.
  6. Suggest one primary metric per angle.

Output format A markdown table with one row per angle, then short notes beneath for dependencies and ranking. Keep each cell under 20 words. Plain, practical language a coach can read aloud in a session. Leave out finished ad copy, media plans, and any figure not supplied.

Guardrails

  • Do not invent statistics, testimonials, competitor claims or platform features.
  • Mark assumptions clearly and keep them separate from supplied facts.
  • Tell the user to confirm ad platform policies and any rules covering regulated claims with the platform and a qualified adviser before launch.

Example {{client_business}}: online bookkeeping for cafe groups; {{offer_details}}: monthly retainer, mid three figures; {{target_audience}}: owner-operators with 2 to 5 sites; {{channel_mix}}: email list and LinkedIn; {{proof_points}}: two client case studies.