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.
clawhub install ecomm-new-productsπ 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 β $40 |
| Material / positioning | Target quality tier and audience | mid-tier / premium / budget |
| SKU count goal | Number of products to develop | 2β5 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 3β5 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: $XX.XXWhy this opportunity exists:
[Data-backed reasoning]
Positioning:
[Target audience + tier]
Core Specifications:
Dimensions:
Weight:
Key components:
Structure / format: Variants:
[Color / style / version options]
Key Differentiation:
[Clear advantage vs competitors]
Estimated Margin:
~$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 (1β5 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