ncreighton Micro-Niche Market Validator
Overview
The Micro-Niche Market Validator is a comprehensive market research automation tool that eliminates guesswork from niche selection. Instead of relying on gut feeling or outdated market reports, this skill aggregates real-time data from 8 authoritative sources to produce a defensible, data-driven viability score (1-100) with actionable GO/NO-GO recommendations.
Why This Matters
Entrepreneurs and product developers waste months building in non-viable niches because they lack access to:
- Real search demand (not just keyword volume)
- Authentic customer sentiment from communities (Reddit, Twitter)
- Competitive saturation metrics (pricing power, market concentration)
- Buyer intent signals (search behavior, purchase readiness)
- Hidden gem sub-niches that competitors miss
This skill synthesizes all eight data sources into a single confidence score, eliminating analysis paralysis and accelerating market entry decisions.
Integration Ecosystem
- Google Trends API — historical search volume and seasonality
- Semrush API — competitor keyword difficulty, traffic estimates, CPC
- Ahrefs API — backlink profiles, domain authority, competitive gaps
- Twitter API v2 — real-time sentiment, influencer discussions, trend velocity
- Reddit API — community size, engagement depth, pain points
- Google Search Console — actual search behavior (if linked)
- Shopify Product API — e-commerce pricing benchmarks
- Slack Integration — automated reports delivered to channels
Quick Start
Example 1: Validate a B2B SaaS Niche
Analyze the viability of "AI-powered legal contract review for small law firms"
Use these parameters:
- Primary niche: legal tech
- Sub-niche: contract review automation
- Target market: small law firms (1-10 attorneys)
- Geographic focus: USA
- Budget ceiling: $50/month (per firm)
Output format: Detailed viability scorecard with TAM, pricing analysis, and competitor map.
What You'll Get:
- Viability Score: 72/100 (CONDITIONAL GO)
- Estimated TAM: $2.1B → SAM: $340M
- Monthly search volume: 8,200 (exact match)
- Competitor count: 23 direct, 156 indirect
- Sentiment: 76% positive (Reddit legal communities)
- Pricing benchmarks: $29-$199/month range
- Hidden gem: "Contract review for freelance lawyers" (lower saturation, higher intent)
Example 2: Discover Hidden Gem Sub-Niches
Find underserved sub-niches within "sustainable fashion ecommerce"
Search criteria:
- Must have 500+ monthly searches
- Competitor saturation < 30
- Reddit engagement > 50 posts/week
- Price point: $100-$500
- Geographic markets: English-speaking
Return: Top 5 hidden gems ranked by opportunity score.
What You'll Get:
- Sub-niche #1: "Sustainable activewear for petite women" (Opportunity: 87/100)
- Sub-niche #2: "Eco-friendly business casual for remote workers" (81/100)
- Market size estimates for each
- Competitor analysis (gaps identified)
- Community sentiment quotes from niche communities
Example 3: Competitive Pricing Intelligence
Analyze pricing strategy for "project management tools for agencies"
Include:
- Current market pricing (Semrush, Ahrefs data)
- Price sensitivity (Twitter/Reddit discussions)
- Willingness-to-pay signals (search behavior analysis)
- Revenue potential at different price points
- Competitor positioning (feature-to-price mapping)
Format: Executive summary + detailed pricing matrix.
What You'll Get:
- Market price range: $19-$299/month
- Optimal price point: $79/month (highest demand elasticity)
- Estimated first-year revenue potential
- Customer acquisition cost benchmarks
- Positioning recommendation vs. competitors
Capabilities
1. Multi-Source Data Aggregation
Pulls from 8 authoritative sources simultaneously:
- Search Volume Analysis: Google Trends (historical), Semrush (current), keyword intent classification
- Competitive Landscape: Ahrefs domain authority, Semrush difficulty score, competitor count
- Community Sentiment: Reddit (r/entrepreneur, industry-specific subs), Twitter (hashtags, influencers), sentiment polarity scoring
- Buyer Intent Signals: Search query analysis (problem + solution keywords), CPC data, landing page trends
- E-commerce Benchmarks: Shopify store data, Stripe transaction patterns, industry pricing standards
- Seasonality & Trends: Google Trends velocity, Twitter spike detection, Reddit discussion volume trends
2. Viability Scoring Engine
Produces a defensible 1-100 score based on weighted factors:
Score Components:
- Search Demand (25%): Volume + intent quality + trend direction
- Competitive Saturation (20%): Competitor count + market concentration
- Sentiment Quality (15%): Positive/negative ratio + community size
- Buyer Intent (15%): CPC, click-through rates, landing page quality
- TAM Viability (15%): Market size * addressable percentage
- Pricing Power (10%): Willingness-to-pay signals + price elasticity
GO Threshold: 70+
CONDITIONAL GO: 50-69 (requires validation)
NO-GO: <50
3. TAM/SAM Estimation
- Total Addressable Market (TAM): Industry-wide opportunity
- Serviceable Addressable Market (SAM): Your target segment size
- Serviceable Obtainable Market (SOM): Realistic 5-year capture
- Includes geographic breakdown and pricing-based revenue models
4. Hidden Gem Detection Algorithm
Identifies underserved sub-niches using proprietary scoring:
Opportunity Score = (Search Volume × Sentiment Strength) / Competitor Saturation × (1 + Trend Velocity)
Filters for:
- Sufficient search demand (500+ monthly searches minimum)
- Low competitive saturation (<50 direct competitors)
- High community engagement (Reddit/Twitter velocity)
- Emerging trends (growth trajectory >15% YoY)
5. Competitive Positioning Map
Visual/textual mapping of:
- Feature matrix (you vs. top 5 competitors)
- Pricing positioning
- Target customer overlap
- White-space opportunities
6. Sentiment Analysis at Scale
- Pull 1,000+ Reddit/Twitter mentions (with context)
- Classify as problem statement, solution discussion, or pricing objection
- Extract exact pain points and feature requests
- Identify influencers and brand advocates
Configuration
Required Environment Variables
# Semrush API
export SEMRUSH_API_KEY="your_semrush_api_key"
# Ahrefs API
export AHREFS_API_KEY="your_ahrefs_api_key"
# Twitter API v2 (for sentiment analysis)
export TWITTER_BEARER_TOKEN="your_twitter_bearer_token"
# Reddit API
export REDDIT_CLIENT_ID="your_reddit_client_id"
export REDDIT_CLIENT_SECRET="your_reddit_client_secret"
# Google Trends (public API, no key required, but supports authenticated requests)
export GOOGLE_TRENDS_KEY="your_google_api_key"
# Optional: Slack integration
export SLACK_WEBHOOK_URL="https://hooks.slack.com/services/YOUR/WEBHOOK/URL"
Setup Instructions
Obtain API Keys:
- Semrush: Sign up at semrush.com, API section → generate key
- Ahrefs: ahrefs.com/api → create application
- Twitter: developer.twitter.com → create project → generate Bearer Token
- Reddit: reddit.com/prefs/apps → create app → copy credentials
Install Dependencies:
pip install requests pandas numpy tweepy praw beautifulsoup4 aiohttpAdd Environment Variables to Your System:
# macOS/Linux echo 'export SEMRUSH_API_KEY="key_here"' >> ~/.zshrc source ~/.zshrc # Windows (PowerShell) [Environment]::SetEnvironmentVariable("SEMRUSH_API_KEY", "key_here", "User")Test Connectivity:
Run a simple validation query: "Test API connection for sustainable fashion niche"
Optional Configuration Parameters
analysis_depth: "comprehensive" # Options: quick (2 sources), standard (5 sources), comprehensive (all 8)
report_format: "json" # Options: json, markdown, html, pdf
include_visuals: true # Generate charts (requires matplotlib)
slack_notify: true # Send results to Slack channel
sample_size: 1000 # Reddit/Twitter mentions to analyze
date_range: "12m" # Historical data window (1m, 3m, 6m, 12m)
Example Outputs
Output 1: Complete Viability Report (JSON Format)
{
"niche": "AI-powered meal planning for keto dieters",
"analysis_date": "2024-01-15",
"viability_score": 78,
"recommendation": "GO",
"confidence": 0.92,
"summary": {
"tam": {
"total": "$4.2B",
"sam": "$1.1B",
"som_5yr": "$47M"
},
"search_demand": {
"monthly_volume": 22400,
"trend_direction": "up_15_percent_yoy",
"intent_quality": "high",
"cpc": "$2.14"
},
"competition": {
"direct_competitors": 34,
"saturation_score": 42,
"leader_market_share": "12%"
},
"sentiment": {
"positive_ratio": 0.82,
"reddit_communities": [
{"name": "r/keto", "subscribers": 2100000, "posts_weekly": 8900},
{"name": "r/EatCheapAndHealthy", "subscribers": 1900000, "posts_weekly": 4200}
],
"sample_pain_points": [
"Macro tracking is tedious and error-prone",
"Meal prep planning takes 3+ hours weekly",
"Hard to find keto recipes without carb fillers"
]
},
"pricing": {
"market_range": "$9.99-$49.99/month",
"optimal_point": "$19.99/month",
"revenue_potential_yr1": "$340K",
"estimated_customer_acq_cost": "$18-$32"
},
"hidden_gems": [
{
"name": "Keto meal planning for shift workers",
"opportunity_score": 84,
"monthly_searches": 3200,
"competitors": 8
},
{
"name": "Macro-optimized meal plans for competitive athletes",
"opportunity_score": 79,
"monthly_searches": 5100,
"competitors": 12
}
]
}
}
Output 2: Competitive Positioning Summary
## Competitive Landscape Analysis
| Competitor | Monthly Searches | Price | Rating | Market Position |
|-----------|------------------|-------|--------|-----------------|
| MyFitnessPal | 2.1M | Free → $10/mo | 4.2★ | Market Leader |
| Cronometer | 340K | Free → $40/yr | 4.6★ | Niche Leader (nutrition) |
| Carb Manager | 280K | $4.99/mo | 4.1★ | Direct Competitor |
| **Your Opportunity** | **22.4K** | **$19.99/mo** | **TBD** | **Underserved Segment** |
### White-Space Findings:
- **Gap 1**: No meal planning tools optimize for shift workers specifically
- **Gap 2**: Athletes seeking macro optimization lack real-time feedback
- **Gap 3**: Keto community (r/keto: 2.1M members) underserved by major players
### Recommendation:
Position as "Keto-first, athlete-focused alternative with 10-minute meal planning"
Output 3: Sentiment Deep-Dive (Text Format)
REDDIT SENTIMENT ANALYSIS (r/keto, 1,000 posts sampled)
Top Problems Mentioned:
1. "Meal planning takes too long" — 247 mentions (24.7%)
2. "Macro tracking is complicated" — 156 mentions (15.6%)
3. "Can't find good keto recipes easily" — 134 mentions (13.4%)
4. "Expensive to eat keto without planning" — 98 mentions (9.8%)
Feature Requests (Explicit):
- One-click meal plan generation
- Automatic macro adjustment based on activity
- Integration with fitness trackers
- Grocery list auto-generation with prices
TWITTER SENTIMENT ANALYSIS (hashtag: #ketomealprep, 500 tweets sampled)
Sentiment Distribution:
- Positive: 342 (68.4%)
- Neutral: 128 (25.6%)
- Negative: 30 (6.0%)
Influencers & Brand Advocates:
- @KetoConnect (145K followers) — discusses meal planning pain weekly
- @TheDietDoctor (230K followers) — 15 keto tool reviews/year
- @CaseyJones_Keto (87K followers) — micro-influencer, high engagement
Tips & Best Practices
1. Validate the Score with Manual Research
While the algorithm is comprehensive, use the score as a starting point, not gospel:
- Interview 10 people in your target niche (Reddit DM, Twitter, LinkedIn)
- Check if top competitors are hiring (sign of growth) or quiet (sign of decline)
- Analyze customer reviews on Trustpilot/G2 to identify pain points the algorithm may miss
2. Focus on Hidden Gems First
Instead of attacking crowded niches with 100+ competitors, prioritize sub-niches with:
- Viability score 70+
- Competitor count <50
- Trend velocity >12% growth
- These have 3-5x faster time-to-profitability
3. Use TAM Estimates for Fundraising
Structure your pitch with skill outputs:
Total Addressable Market: $4.2B
Serviceable Addressable Market: $1.1B (niche focus)
Year 1 Revenue Target: $340K (5% conversion of TAM)
Year 3 Projection: $8.2M (market penetration: 0.74%)
4. Monitor Trends Over Time
Run this skill quarterly on shortlisted niches to track:
- Search volume velocity (is demand growing or declining?)
- Sentiment shifts (are pain points being solved?)
- New competitor entries (is the space heating up?)
5. Cross-Reference Sentiment with Willingness-to-Pay
High community sentiment + high CPC = strong willingness-to-pay:
Example: Keto meal planning has 82% positive sentiment + $2.14 CPC
→ Indicates strong pain-to-solution mapping + financial resources
→ Viable for SaaS pricing ($19.99+ monthly)
6. Use Competitor Pricing as a Floor, Not a Ceiling
If all competitors charge $9.99/month but sentiment indicates premium demand:
- Test $