What the Multi-channel transformation of game patch notes into marketing content prompt does
Act as a game publishing editor who converts verified patch information into channel-specific communication without overstating changes or hiding material limitations.
The prompt will, at minimum:
- Create a change ledger that maps every proposed claim to the exact patch-note line, build, platform and evidence source
- Separate fixes, balance changes, new content, quality-of-life improvements, known issues and breaking changes so players are not misled
- Adapt message depth, CTA, formatting and tone for store news, community posts, email, social, in-client notices and creator briefs without changing factual strength
- Flag age-rating, monetisation, child-safety, privacy, platform-policy and regional availability implications before publication
- Design a review flow for developer verification, localisation QA, community-risk checks, rollback wording and post-release correction handling
Who it is for
Gökhan Güzel's games prompt for ChatGPT users: marketers, founders, agencies and consultants who need an auditable, evidence-based deliverable instead of generic advice.
What you get
- Patch-note evidence and claim ledger
- Channel-by-channel message architecture
- Ready-to-edit content variants
- Localisation and compliance notes
- Approval, correction and measurement plan
Variables
| Placeholder | Purpose |
|---|---|
{{age_rating}} | Required input value; state source, data type, format, unit, period, market and locale where applicable |
{{approval_owner}} | Required input value; state source, data type, format, unit, period, market and locale where applicable |
{{asset_inventory}} | Structured dataset or source file; state fields, data types, period, units, currency, time zone and provenance |
{{brand_voice}} | Verified identifier or text value; state exact spelling, source, status and validity scope |
{{channel_list}} | Structured dataset or source file; state fields, data types, period, units, currency, time zone and provenance |
{{community_context}} | Required input value; state source, data type, format, unit, period, market and locale where applicable |
{{evidence_links}} | Valid HTTPS URL or URL list; state target market, access status, source and access date |
{{feature_priority}} | Required input value; state source, data type, format, unit, period, market and locale where applicable |
{{game_name}} | Verified identifier or text value; state exact spelling, source, status and validity scope |
{{patch_notes}} | Required input value; state source, data type, format, unit, period, market and locale where applicable |
{{patch_version}} | Required input value; state source, data type, format, unit, period, market and locale where applicable |
{{player_segments}} | Target audience, segment, persona, customer/player or industry group |
{{prohibited_claims}} | Required input value; state source, data type, format, unit, period, market and locale where applicable |
{{release_date}} | Date, time or period value; state ISO format, time zone, start/end boundary and comparison period |
{{target_languages}} | Target languages/locales |
{{target_markets}} | Target markets |
How to use
Copy the prompt with the button above, replace every {{placeholder}} with your verified data, and paste it as the first message in a new ChatGPT conversation. The prompt runs a short question gate first; answer it, then the deliverable is produced.
Run Multi-channel transformation of game patch notes into marketing content in ChatGPT
Open a new ChatGPT chat, paste the filled-in Multi-channel transformation of game patch notes into marketing content prompt and answer the short question gate. ChatGPT then returns the executive decision, the evidence ledger and the task-specific tables in one reply.
Related prompts
- Multi-channel transformation of game patch notes into marketing content for Claude
- Multi-channel transformation of game patch notes into marketing content for Gemini
- D1, D7 and D30 player-retention cohort analysis for ChatGPT
- Publisher pitch-deck narrative built from verified traction data for ChatGPT
- Game accessibility audit for ChatGPT
Source
Original file in the multilingual prompt library on GitHub: