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buyer-language-miner

buyer-language-miner

github.com/kelpi-aiMarketing & growth556 installsUpdated 17w ago
Repository

About buyer-language-miner

Buyer Language Miner is a marketing skill for extracting customer wording from reviews, community threads, support emails, and sales notes. It organizes verbatim quotes into research banks that can inform ads, landing pages, and hooks.

Key features

  1. 01Sorts quotes by triggers, pains, and desired outcomes
  2. 02Keeps each quote verbatim and tied to its source
  3. 03Flags recurring pains versus one-off anecdotes
  4. 04Builds buyer-phrase and jargon lists
  5. 05Maps pains to marketing angles

Use cases

  1. 01Gathering customer language before writing ad copy
  2. 02Researching objections and alternatives in a funnel
  3. 03Preparing source-backed quotes for landing pages and hooks

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/kelpi-ai/meta-ads-skills --skill buyer-language-miner

After installing, type/buyer-language-minerin Claude Code to confirm it loaded.

Bundled filesskill.meta.json

Details

From the project README

Buyer Language Miner

Doctrine

The most persuasive line in your next ad has already been written, by a customer, in a review or a Reddit thread. Copy built from real buyer language outperforms invented copy because it passes the recognition test instantly: the reader thinks "that is exactly what I said." Marketers say "creative fatigue"; owners say "the exact same ads that cost $6.85 a lead now cost $30.90." Mine the second kind. This is also how you find the deeper pains buyers only admit anonymously.

When to use

  • Before Angle Writer (its PAIN lines should come from here).
  • Before writing any landing page or hook.
  • Works with no MCP. Needs raw material: your reviews, competitor reviews, community threads, support emails, sales-call notes.

Run it

Mine this buyer language for my offer: [ONE-LINE OFFER + WHO YOU THINK IT IS FOR]

Raw material: [PASTE reviews / thread links / support emails / call notes. Include COMPETITOR reviews and community threads about the PROBLEM, not just about products.]

1. Extract verbatim quotes only (no paraphrasing) and sort into:
   - TRIGGERS: the moment that started the search ("the day X happened...")
   - PAINS: the problem in their words, especially emotional ("am I just stupid?")
   - DESIRED OUTCOMES: what better looks like, in their words
   - OBJECTIONS: why they hesitate or distrust ("everyone selling X says X works")
   - ALTERNATIVES: what they do instead (DIY, a cheaper tool, nothing)
2. Mark the 5-10 BUYER-ISMS: the quotes so vivid they could be a hook or an on-image line as-is.
3. Note the words they NEVER use (jargon I should delete from my copy).
4. Map each strong pain quote to a possible angle: WHO said it, what PROMISE would answer it.

Guardrails

  • Verbatim means verbatim. A cleaned-up quote is a fabricated quote.
  • Keep the source next to every quote. Public quotes can inspire copy; using someone's exact words in an ad may need permission and always needs judgment.
  • Volume matters: one dramatic quote is an anecdote. Flag which pains repeat across many sources and which appeared once.
  • Do not mine only happy reviews. Objections and alternatives are where the losing half of your funnel lives.

Good output looks like

Five labeled quote banks with sources, a starred buyer-ism shortlist, a jargon kill-list, and pain-to-angle mappings ready for Angle Writer.

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