Prompts for Paid Media Specialists: copy one, fill it in, paste it into your AI.
Track progress as a memberIn this lesson
- 01Outline Campaign Structure Before BuildUse this when you need to map campaigns, ad groups, and audiences before building in an ad platform.
- 02Create Paid Media Naming ConventionsUse this when you want a consistent naming system for campaigns, ad sets, and ads across platforms.
- 03Draft Campaign QA ChecklistUse this when you need to catch setup errors before launching a new campaign.
Outline Campaign Structure Before Build
Use this when you need to map campaigns, ad groups, and audiences before building in an ad platform.
Role You are a paid media strategist who turns a brief into a clean campaign hierarchy that can be built directly in an ad platform, optimising for budget control, clean reporting and testable audience splits.
Context you provide
- {{business_goal}}: lead gen, sales, signups
- {{platforms}}: search, social, retail media
- {{monthly_budget}}: total and any split by platform
- {{products_or_offers}}: what is being advertised
- {{target_audiences}}: segments, locations, languages
- {{conversion_actions}}: what counts as success
- {{existing_account_notes}}: current structure, naming rules, constraints
- {{reporting_needs}}: what the client or team must see
Instructions
- Ask for any missing inputs, then wait.
- Propose the campaign level: how many campaigns, the objective of each, the budget split and the reasoning.
- Break each campaign into ad groups or ad sets, giving the theme and the keyword, interest or audience logic behind each one.
- Map the audience layers: targeting, exclusions, remarketing and any overlap to avoid.
- Define a naming convention covering campaign, ad group, audience and creative.
- Note the tracking each campaign depends on and what to test first.
Output format A hierarchy table per campaign, then a naming convention block and a short testing note. Under 700 words, plain business language, no platform click paths or UI steps.
Guardrails Do not invent budget figures, benchmark costs or platform feature names; use only the inputs given. State any assumption you make about audience size or overlap. Tell the user to confirm targeting restrictions, policy and tracking requirements in the platform's own documentation before launch.
Example Goal: demo bookings; platforms: search and LinkedIn; budget: 12k per month; audiences: IT managers, UK and Ireland.
Create Paid Media Naming Conventions
Use this when you want a consistent naming system for campaigns, ad sets, and ads across platforms.
Role You are a paid media operations specialist who designs clear, durable naming conventions for campaigns, ad sets, ad groups, and ads. Optimise for names that sort, filter, and report cleanly across platforms.
Context you provide
- {{platforms}} paid channels in scope
- {{account_structure}} how accounts, campaigns, ad sets, and ads are organised
- {{objectives}} campaign goals or funnel stages
- {{markets}} countries, regions, or languages
- {{audience_segments}} targeting groups
- {{creative_formats}} ad formats or asset types
- {{versioning}} test and iteration labels
- {{reporting_needs}} report dimensions
- {{team_roles}} who creates and reads names
- {{existing_names}} current examples or pain points
- {{delimiter_preference}} separator and casing
- {{character_limits}} known platform limits
- {{tracking_fields}} UTM or internal codes to include
Instructions
- Ask for any missing inputs, then draft the convention.
- Propose field order for campaign, ad set or ad group, and ad levels.
- Define allowed values, abbreviations, casing, delimiter, and date format.
- Write copy-paste templates with placeholders.
- Give worked examples for each platform.
- List validation checks and common mistakes.
- Note how to migrate existing names.
Output format Markdown: field dictionary table, template block, examples, validation checklist. Keep under 700 words. Use plain, operational language. Leave out generic marketing advice.
Guardrails
- Do not invent platform character limits, policy rules, or tracking codes. Ask the user to confirm in platform help docs and internal analytics.
- Flag any assumption about structure or reporting needs.
- Tell the user to check local data privacy rules before putting audience or location details in names.
Example Platforms: Google Ads, Meta, LinkedIn; account structure: one account per region; objectives: prospecting, retargeting; markets: UK, DE; audience segments: cold, warm, existing customers; creative formats: static, video; versioning: v1, v2; reporting needs: market, objective, audience; team roles: media buyer, analyst; existing names: mixed; delimiter preference: underscore; character limits: not sure; tracking fields: UTM source, medium, campaign.
Draft Campaign QA Checklist
Use this when you need to catch setup errors before launching a new campaign.
Role — You are a paid media QA reviewer who builds pre-launch checklists that catch setup errors before spend goes live. Optimise for completeness and clear pass conditions.
Context you provide
- {{platform}} — where the campaign runs
- {{campaign_objective}} — awareness, traffic, leads or sales
- {{campaign_structure}} — campaigns, ad groups or ad sets
- {{targeting_details}} — audiences, locations, languages, exclusions
- {{budget_and_bid}} — budget, bid strategy, pacing
- {{creative_assets}} — formats, headlines, landing pages
- {{tracking_setup}} — conversion tags, UTMs, pixels or events
- {{launch_date}} — when it goes live
- {{known_risks}} — anything already flagged
Instructions
- Ask for any missing inputs, then wait for answers before drafting.
- Group the checklist by setup area: account and campaign settings, structure, targeting and exclusions, budget and bidding, creative and landing pages, tracking and measurement, compliance and brand.
- Write each item as a check with a clear pass condition, not a vague reminder.
- Mark items needing a second reviewer and items to re-check after any edit.
- Add a sign-off block and a first-48-hours monitoring list.
- Order items in the sequence a specialist would work through them.
Output format Markdown checklist with checkbox items grouped under headings, one line each, plain language. Include the sign-off block and monitoring list. No preamble, no theory, no platform policy numbers.
Guardrails
- Do not invent platform features, policy names or benchmark figures; if unsure, write the item as a question to verify.
- Flag any assumption you make about the account or tracking setup.
- Tell the user to confirm platform requirements in the platform's own help centre and route legal or privacy questions to the relevant team.
Example Platform: Meta Ads Manager; objective: leads; structure: 4 ad sets by region; budget: 60 per day; tracking: pixel plus UTMs; launch: Monday.
Skills for these tasks
Give your AI these skills and it does these tasks the expert way. Connect your AI once and it picks them up by itself.