evidence led ecommerce ad angle engine
Transform product facts and customer reviews into evidence-backed advertising angles and creative testing plans.
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Works with the AI tools you already use
See it in action
You say
Generate ad angles for a waterproof hiking boot. Facts: Vibram sole, Gore-Tex. Reviews: "Kept feet dry in mud." Objections: "Looks bulky." Segments: Weekend hikers, professional guides.
Your agent does
Angle: "Bone Dry Trails: Pro-Grade Gore-Tex for the Weekend Hiker." Subcopy: "Don't let mud stop you. Our Vibram-soled boots are proven to keep feet dry, even when the trail turns into a river." Evidence: Gore-Tex spec + 'dry in mud' review. Stage: Awareness. Testing: A/B test vs 'bulk' objection.
What you get
About this skill
The problem
Marketers often rely on gut feeling to create ad copy, leading to high spend on creative that lacks factual resonance. Converting raw product specs and customer reviews into structured, high-performing advertising angles is manual and prone to logical gaps.
What it does
- Analyzes product facts, reviews, and objections to generate distinct advertising angles.
- Maps every marketing claim to specific source evidence to ensure credibility.
- Categorizes angles by funnel stage from awareness through conversion.
- Generates creative concepts and visual storytelling ideas for each headline.
- Provides a prioritized testing blueprint for A/B and lift experiments.
Why this beats prompting it yourself
Generic prompts result in fluffy, unsubstantiated copy that triggers regulatory flags. This skill enforces a structured evidence-map, ensuring every headline is backed by data while simultaneously performing claim-safety checks and funnel alignment that standard LLM outputs miss.
Use cases
- Extracting high-converting hooks from hundreds of Amazon customer reviews.
- Building a data-backed creative brief for a new product launch.
- Overcoming specific customer objections with targeted consideration-stage ads.
- Generating a structured testing roadmap for Facebook or Google Ads creative.
Known limitations
Requires structured input data for product facts and reviews to achieve high-accuracy evidence mapping. Performance depends on the quality and volume of the provided customer segments and objections.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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