competitive-pricing-strategy git:20260409.0419aeeC

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# Competitive Pricing Strategy

Develop data-driven pricing strategies for e-commerce. Competitive analysis, price positioning, psychological pricing, margin optimization, and dynamic repricing across marketplaces.

## Capabilities

- Competitor price mapping and monitoring
- Price positioning: premium, value, penetration, skimming
- Psychological pricing techniques (charm pricing, anchoring, bundling)
- Margin-based pricing with platform fee calculations
- MAP (Minimum Advertised Price) compliance
- Seasonal and demand-based price adjustments
- Multi-marketplace price consistency strategy
- A/B price testing methodology

## Install

```bash
npx skills add nexscope/competitive-pricing-strategy
```

## Usage

Ask your AI agent:

- "Analyze competitor pricing for my product category and recommend positioning."
- "What pricing strategy should I use for a new product launch on Amazon?"
- "Help me set up a dynamic pricing model across Amazon and Shopify."

## Output

Structured recommendations with actionable steps, benchmarks, and platform-specific guidance.

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*Built by [Nexscope](https://www.nexscope.ai/?co-from=skill) — AI-powered e-commerce tools for sellers worldwide.*