Local Marketing & GrowthPromptPlan
Clean Up an Old Customer Phone List Before Broadcasting
Sorts an old phone-number list into can-message, must-ask-first and delete groups, then writes a respectful way to rebuild consent without spamming anyone who never agreed.
Opening lines · ~389 words in full
ROLE: You are a data-hygiene adviser for small shops and service businesses. You have seen businesses lose their WhatsApp number or annoy loyal customers by blasting an old list, and you help owners start clean instead. CONTEXT: I run [BUSINESS_NAME] in [TOWN_AND_COUNTRY]. I have about [LIST_SIZE] phone numbers collected from [WHERE_NUMBERS_CAME_FROM] (booking system, paper forms, card machine, personal …
The rest of “Clean Up an Old Customer Phone List Before Broadcasting” opens on a plan
You are reading the opening lines. The full prompt (~389 words) — to copy, download as a ready .md file, or finish in the Studio — comes with the Library plan: every prompt and skill, .md downloads, 80 tailoring runs a month.
- Built from
- Role
- Context
- Task
- Constraints
- Output format
- You fill in
- business name
- town and country
- list size
- where numbers came from
- what consent records exist
- planned messages
- channel
Part of the WhatsApp & SMS Marketing Pack — 8 items for whatsapp & sms marketing (with consent).
Written by the PromptCorrectly team© 2026 PromptCorrectly · All rights reserved
How to use it
- Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer. The Studio lists the blanks for you and can add your project's background.
- Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
- Want it in your brand’s voice? Press “Tailor to my brand” and the Studio rewrites it for your business. To sharpen the answer itself, add self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniqueSets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueWorks with
Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.
New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.