Competitive Pricing Strategy

What the source does

• FilesystemNone observedNo reads or writes in the source
• NetworkNone observedNo outbound calls in the source
• ShellNone observedNo commands run in the source
• DependenciesPinnedNothing floats
• SecretsNone foundNo keys in source

Five audit layers

Gates applied: no behavioural pass.

Audit 0.4.1 · source sha 3e6c611584c3 · 19 Oct 2026Report an issue or request a re-scan

• Publishernexscope-ai GitHub organizationOwner of the repository this skill is read from
• Source foldernexscope-ai/eCommerce-Skills/competitive-pricing-strategyThe exact folder we audited
• LicenceMITAs the repository states it
• Commit pinned for this verdict3e6c611584c3A new audit runs when the source changes
• Repository statusNot archivedLast push 54 days ago
• Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

Its description: Build an evidence-based competitive pricing strategy for ecommerce products. Use when a seller asks how to position a price against competitors, set regular and promotional prices, protect contribution margin, design…

---
name: competitive-pricing-strategy
description: Build an evidence-based competitive pricing strategy for ecommerce products. Use when a seller asks how to position a price against competitors, set regular and promotional prices, protect contribution margin, design bundles or price tiers, respond to competitor moves, or coordinate prices across Amazon, Shopify, TikTok Shop, Walmart, eBay, or other channels. Do not use for automated repricing implementation or claims of a mathematically proven optimal price without sufficient data.
---

# Competitive Pricing Strategy

Turn comparable-offer evidence, unit economics, and brand positioning into a SKU-level price architecture, competitor-response policy, and controlled rollout plan.

## Installation

```bash
npx skills add nexscope-ai/eCommerce-Skills --skill competitive-pricing-strategy -g
```

## Capabilities

- Normalize competitor offers by variant, pack size, condition, shipping, discounts, and seller type.
- Calculate price floors and contribution-margin scenarios from seller-supplied costs.
- Map budget, value, parity, and premium positions without assuming the cheapest offer wins.
- Design regular, launch, promotional, bundle, quantity, and channel-specific price architecture.
- Create response rules for competitor discounts, stockouts, new entrants, and price wars.
- Separate pricing recommendations from MAP, resale-price, tax, consumer-protection, and marketplace-policy decisions.
- Produce an implementation plan with owners, evidence, monitoring, and stop conditions.

## Usage Examples

```text
Compare these six competitor offers and tell me where my product should be priced.
```

```text
Build a launch pricing strategy for my premium skincare product on Amazon and Shopify.
```

```text
My main competitor cut price by 15%. Should I match them or hold my position?
```

```text
Create a regular, promotional, and bundle price architecture for these five SKUs.
```

## Inputs and Collection

Use supplied evidence first. Collect:

- product, SKU, variant, pack size, condition, included items, and target customer;
- platform, marketplace, currency, tax treatment, fulfillment method, and seller type;
- current list price, realized selling price, discounts, coupons, shipping charged, and channel-specific prices;
- COGS, inbound freight, duties, packaging, fulfillment, payment, referral, affiliate, ad, return, and other variable costs;
- target contribution dollars or margin, inventory constraints, launch stage, and business goal;
- comparable competitor offers with source URL, capture date, variant, availability, delivery terms, ratings, and visible promotion;
- brand position, differentiators, authorized-dealer or MAP constraints, and planned promotions.

If material inputs are missing, ask one consolidated follow-up. When the seller cannot provide them, continue with a provisional framework and mark every blocked calculation or decision.

## Workflow

### 1. Establish the Evidence Boundary

List the pages, exports, cost sheets, and seller facts actually inspected. Classify inputs as:

- **Confirmed:** directly supported by inspected evidence.
- **Assumption:** seller-approved placeholder used for a scenario.
- **Unknown:** missing information that prevents a reliable conclusion.

Treat competitor prices as point-in-time observations. Do not invent historical price changes, sales, market share, conversion, fees, elasticity, or customer willingness to pay.

### 2. Normalize Comparable Offers

Compare like with like. For each offer, record:

- exact variant, quantity, size, condition, and included accessories;
- item price, mandatory shipping, visible seller-funded discount, and displayed final price;
- seller, fulfillment method, delivery promise, availability, and membership requirement;
- review count and rating only when visibly confirmed;
- capture time and source.

Calculate unit and delivered price when inputs permit:

```text
Delivered Price = Item Price - Seller-Funded Discount + Mandatory Shipping
Unit Price = Delivered Price / Comparable Units
```

Keep coupons, loyalty credits, platform-funded incentives, taxes, and membership benefits separate unless their treatment is confirmed. Exclude non-comparable offers or explain the adjustment.

### 3. Build the Economic Guardrails

Model economics before recommending a market position:

```text
Net Revenue = Selling Price - Seller-Funded Discounts - Refund Allowance
Contribution $ = Net Revenue - COGS - Variable Selling Costs
Contribution % = Contribution $ / Net Revenue
```

When percentage fees apply to selling price:

```text
Price Floor = (Unit Cost + Fixed Variable Costs + Target Contribution $) / (1 - Variable Fee Rate)
```

Show every included cost, rate, source, and assumption. Run base, downside, and promotion-stack scenarios. Do not call gross margin, markup, or contribution margin interchangeable.

### 4. Map the Price-Value Landscape

Place comparable offers into defensible tiers:

- **Budget:** lowest total cost with a basic value promise.
- **Value:** competitive price with a clear feature or service advantage.
- **Parity:** close to the reference set when differentiation is limited.
- **Premium:** higher price supported by demonstrable product, brand, service, warranty, bundle, or experience value.

Identify clusters and gaps, but do not label an empty price band an opportunity without demand evidence. Explain whether the seller can support the selected position through controllable proof.

### 5. Design the Price Architecture

Define per SKU and channel:

- regular price and positioning rationale;
- minimum approved price and required contribution;
- launch or trial price with end date and success gate;
- promotional price and maximum seller-funded discount;
- bundle or quantity offer with component economics;
- premium or good-better-best tier where justified;
- channel or market differences caused by costs, service, currency, or customer value.

Do not use an inflat

Excerpt, first 6,000 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

npx skills add nexscope-ai/eCommerce-Skills --skill competitive-pricing-strategy -g

git clone https://github.com/nexscope-ai/eCommerce-Skills
git -C eCommerce-Skills checkout 3e6c611584c3

Works in

1. 2026-10-19
   ✓SAFE B 89 / 100

   first audit · source 3e6c611584c3

Questions about Competitive Pricing Strategy

• github.com/nexscope-ai/eCommerce-Skills/tree/main/competitive-pr — the audited source at commit 3e6c611584c3 and every finding aboveObserved · 19 Oct 2026

Spotted something wrong? Report a correction · Methodology