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ad-angle-miner

Extract ad angles from customer reviews, Reddit, and competitor ads.

1.1k|200|Updated Mar 2, 2026
Search Tags:#marketing#pain points#competitor analysis#ad copy#ad angles#customer reviews
One-click install
npx skills add https://github.com/athina-ai/goose-skills --skill ad-angle-miner
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ad-angle-miner
Source: https://github.com/athina-ai/goose-skills/tree/main/skills/composites/ad-angle-miner
Command: npx skills add https://github.com/athina-ai/goose-skills --skill ad-angle-miner

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires review-scraper, reddit-scraper, twitter-scraper, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of discovering high-converting ad angles by analyzing customer feedback and competitor data, saving significant time in marketing strategy development.

Core Features & Use Cases

  • Angle Extraction: Identifies pain points, desired outcomes, and competitive advantages directly from customer reviews, social media, and competitor ads.
  • Data Source Mining: Integrates with tools to scrape reviews (G2, Capterra), Reddit, and Twitter for relevant insights.
  • Use Case: A marketing team can use this skill to generate a list of compelling ad angles for a new product launch, complete with supporting quotes and recommended ad formats, based on real customer language.

Quick Start

Mine ad angles from reviews for our product and competitors.

Frequently Asked Questions about ad-angle-miner

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract ad angles from customer reviews and social media?▼

Extracting ad angles from customer reviews involves analyzing feedback from platforms like Reddit and Twitter to identify pain language and desired outcomes. This process mines diverse customer voice sources to output a ranked angle bank with proof quotes.

Can I mine competitor weaknesses from Reddit and Twitter for ad copy?▼

Yes, you can mine competitor weaknesses from Reddit and Twitter for ad copy. The process analyzes social media discussions and competitor ads to extract specific pain language and competitor vulnerabilities used by buyers.

What's the best way to find high-converting ad angles from customer feedback?▼

The best way to find high-converting ad angles from customer feedback is to analyze customer voice sources like reviews and support tickets. This identifies specific pain language and outcome phrases, outputting a ranked angle bank with recommended ad formats.

Does this ad angle mining approach work with G2 and Capterra reviews?▼

Yes, this ad angle mining approach works with G2 and Capterra reviews. It integrates with scraping tools to extract relevant insights from software review platforms, identifying pain points and competitive advantages directly from customer feedback.

How do I generate a ranked ad angle bank with proof quotes for a product launch?▼

Generate a ranked ad angle bank with proof quotes by analyzing customer reviews, Reddit, support tickets, and competitor ads. This extracts outcome phrases used by buyers and outputs recommended ad formats based on real customer language.

What data sources do I need to analyze competitor ads and customer pain points?▼

To analyze competitor ads and customer pain points, you need data sources including customer reviews, Reddit, Twitter, and support tickets. These sources provide the pain language and competitor weaknesses required to build a ranked angle bank.

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