ecommerce-landing-page

Solid

Audit and optimize e-commerce landing pages for conversion. CTA placement, trust signals, page structure, copy optimization, and A/B testing strategy for product pages, collection pages, and campaign landing pages.

AI & Automation 194 stars 35 forks Updated 1 months ago MIT

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Skill Content

# E-Commerce Landing Page ๐Ÿ–ฅ๏ธ Audit and optimize e-commerce landing pages for conversion. CTA placement, trust signals, page structure, copy optimization, and A/B testing strategy for product pages, collection pages, and campaign landing pages. **Supported platforms:** Amazon, Shopify, WooCommerce, Walmart, TikTok Shop, Etsy, eBay, BigCommerce. Built by [Nexscope](https://www.nexscope.ai/?co-from=skill) โ€” your AI assistant for smarter e-commerce decisions. ## Install ```bash npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-landing-page -g ``` ## Usage ``` Audit my Shopify landing page for our summer collection launch. Conversion rate is 0.8%. I'm driving traffic from Meta ads. ``` ## Capabilities - Landing page conversion audit (CTA, fold, trust signals, friction) - Hero section optimization (headline, subheadline, CTA, hero image) - Social proof placement strategy (reviews, testimonials, press mentions) - Mobile conversion optimization - Page speed impact analysis - Copy optimization framework (benefit-driven, objection-handling) - A/B testing plan with hypothesis prioritization ## How This Skill Works **Step 1:** Collect information from the user's message โ€” product, platform, current situation, and goals. **Step 2:** Ask one follow-up with all remaining questions using multiple-choice format. Allow shorthand answers (e.g., "1b 2c 3a"). **Step 3:** Research and analyze using the frameworks and methodology below. **Step 4:** Deliver structured, act...

Details

Author
nexscope-ai
Repository
nexscope-ai/eCommerce-Skills
Created
2 months ago
Last Updated
1 months ago
Language
Python
License
MIT

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