ecommerce-landing-page

$npx mdskill add nexscope-ai/eCommerce-Skills/ecommerce-landing-page

Audit and optimize e-commerce landing pages for conversion

  • Identify areas of improvement on e-commerce landing pages to enhance user experience and conversions.
  • Deploys a combination of manual inspection and AI-driven analysis, including CTA placement, trust signals, and copy optimization.
  • Generates an A/B testing strategy with prioritized hypotheses based on data insights and user feedback.
  • Delivers actionable recommendations directly to the e-commerce team for implementation.

SKILL.md

.github/skills/ecommerce-landing-pageView on GitHub ↗
---
name: ecommerce-landing-page
description: "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."
metadata:
  nexscope:
    emoji: "🖥️"
    category: ecommerce
---

# E-Commerce Landing Page 🖥️

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) — 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 — 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, actionable output with specific recommendations, not vague advice.

## Output Format

- Start with a summary of findings
- Include specific data points and benchmarks where available
- Provide prioritized action items
- Mark estimates with ⚠️ when based on incomplete data
- End with concrete next steps

## Other Skills

More e-commerce skills: [nexscope-ai/eCommerce-Skills](https://github.com/nexscope-ai/eCommerce-Skills)

Amazon-specific skills: [nexscope-ai/Amazon-Skills](https://github.com/nexscope-ai/Amazon-Skills)

Built by [Nexscope](https://www.nexscope.ai/?co-from=skill) — your AI assistant for smarter e-commerce decisions.

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