🎁 Get the FREE AI Skills Starter Guide β€” Subscribe β†’
BytesAgainBytesAgain
πŸ¦€ ClawHub

Ecomm New Products

by @no7dw

Provides end-to-end analysis and strategy for e-commerce new product development using category data, competition, market gaps, validation, and launch planning.

Versionv0.1.0
Downloads493
TERMINAL
clawhub install ecomm-new-products

πŸ“– About This Skill

Skill: E-commerce New Product Research & Development

Overview

This skill provides an end-to-end workflow for new product research and development across e-commerce platforms (e.g., Amazon, Shopee, SHEIN). It covers:

* Category data analysis * Target segment identification * Competitive and feature analysis * Market gap discovery * Product definition * Validation and launch strategy

This framework is category-agnostic and applicable to both private label and branded product development.


Inputs Required

| Input | Description | Example | | ----------------------- | ---------------------------------------------------- | ----------------------------- | | Category export file | Product data export from research tools or platforms | .xlsx / .csv export | | Target price range | Desired selling price band | $20 – $40 | | Material / positioning | Target quality tier and audience | mid-tier / premium / budget | | SKU count goal | Number of products to develop | 2–5 SKUs | | Sample specs (optional) | Prototype dimensions and features | size, weight, components |


Supported Data Sources

This workflow supports export files from:

* Amazon tools: Sorftime, Helium10, Jungle Scout, SIF * Shopee tools: Shopdora, platform exports * SHEIN tools: SHEIN selection assistant * Any structured dataset containing product-level metrics


Workflow Steps


Step 1 β€” Category Overview

Parse the export file and produce:

* Total monthly and annual unit volume * Seasonality trends (monthly demand peaks) * Price distribution (bucketed by intervals) * Top brands / sellers by SKU count and sales

Typical fields to extract:

Monthly Sales, Annual Sales, Price,
Gross Profit, Margin,
Category Rank, Subcategory,
Listing Age (days),
Review Count, Rating,
Brand / Seller,
Bullet Points / Description,
Dimensions, Weight


Step 2 β€” Target Segment Deep Dive

Filter products by:

* Target price range * Positioning (quality tier / material / use case)

Analyze:

* SKU count per sub-price band * Average monthly sales per SKU * Average margin per band * Brand concentration per band

Decision rule:

Select the segment where:

* High average sales per SKU * Low brand dominance / fragmentation

β†’ This indicates a potential opportunity zone


Step 3 β€” Competitor & Feature Analysis

#### Brand Landscape

* Identify top brands by SKU count * Analyze their pricing patterns * Understand positioning (budget vs premium vs niche)

#### Feature / Attribute Analysis

Extract recurring attributes from titles, bullets, or descriptions:

Group into:

* Functional attributes (performance, utility) * Design attributes (style, form factor) * Usage attributes (scenarios, convenience)

For each attribute:

* Count number of SKUs * Calculate average sales

Interpretation:

* High sales + low SKU count β†’ opportunity * High sales + high SKU count β†’ competitive but validated * Low sales β†’ weak demand signal


Step 4 β€” Market Gap Identification

Identify 3–5 opportunities using:

| Gap Type | Criteria | Signal | | --------------- | ----------------------------------------------------- | ------------------------ | | Attribute gap | High demand attribute with low SKU presence | Underdeveloped niche | | Positioning gap | Missing tier (e.g. mid-tier between budget & premium) | Pricing imbalance | | Format gap | Inefficient or outdated product formats | Optimization opportunity | | Trend gap | Emerging trend not yet saturated | Early mover advantage |


Step 5 β€” Product Definition (per SKU)

For each recommended SKU:

Product Name (working title)
Suggested Price: $XX.XX

Why this opportunity exists: [Data-backed reasoning]

Positioning: [Target audience + tier]

Core Specifications:

  • Dimensions:
  • Weight:
  • Key components:
  • Structure / format:
  • Variants: [Color / style / version options]

    Key Differentiation: [Clear advantage vs competitors]

    Estimated Margin: ~$XX (~XX%)

    Launch Timing: [Quarter / season]


    Step 6 β€” Sample / Prototype Validation

    If prototype or spec sheet is available:

    #### Dimension Validation

    * Confirm size aligns with intended use case * Benchmark against top competitors * Check compatibility with primary usage scenarios

    #### Feature Feasibility

    * Validate physical feasibility of components * Ensure no over-complexity or cost inefficiency * Confirm manufacturability

    #### Scoring (1–5 scale)

    * Use-case fit * Competitive differentiation * Feature completeness * Cost vs value balance * Margin viability


    Step 7 β€” Social Proof Validation

    Validate demand using external signals:

    #### Platforms

    * Reddit (category discussions, sentiment) * Google Trends (search demand over time) * Media / blogs (trend mentions) * Social platforms (indirect trend signals)

    #### Validation Criteria

    * At least one product with strong sales performance in niche * Evidence of growing or stable search demand * Community or media discussion indicating awareness


    Step 8 β€” Keyword Advertising Framework

    #### Tier 1 β€” Awareness

    * Broad category and attribute keywords * Goal: traffic discovery

    #### Tier 2 β€” Conversion

    * Specific long-tail keywords * Use-case driven queries * Goal: improve conversion rate

    #### Tier 3 β€” Competitor Targeting

    * Competitor brand + product type * Goal: capture high-intent traffic


    #### Campaign Structure

    | Campaign | Type | Goal | | -------------- | -------------- | ------------------- | | Auto discovery | Automated ads | Keyword discovery | | Core keywords | Manual broad | Ranking | | Long-tail | Phrase / exact | Conversion | | Competitor | Exact | Traffic capture | | Retargeting | Display | Conversion recovery |


    Step 9 β€” Launch Timeline

    Phase 1: Initial launch (test demand)
    Phase 2: Optimization (ads + listing improvements)
    Phase 3: Expansion (variants / additional SKUs)
    


    Pre-launch Checklist

    * Supplier validation * Sample approval (quality, usability) * Listing assets (images, descriptions) * Pricing and promotion strategy * Advertising budget allocation * Review acquisition process


    Output Format

    The workflow should produce:

    1. Market Overview 2. Target Segment Analysis 3. Competitive Landscape 4. Market Gaps 5. Product Recommendations 6. Sample Validation (if applicable) 7. Social Proof Summary 8. Keyword Strategy 9. Launch Plan