AI-Powered Service Area Mapper v2.3

Map service areas with Claude AI Market Opportunity Analysis by John Rippy | johnrippy.link

🏆 2025 Zapier Automation Hero of the Year — Project Phoenix: A 95-step AI sales pipeline cutting development time by 50%. Read more →

Plan and optimize your service territories with detailed ZIP code analysis and AI-powered market intelligence. Understand population, income levels, and competitor saturation to make data-driven expansion decisions.

AI Market Opportunity Analysis (BYOK - Bring Your Own Key)

Provide your Anthropic API key to unlock Claude AI-powered features:

• Expansion Priority Recommendations - AI identifies which ZIP codes to target first
• Competitive Gap Analysis - Spots underserved markets with high potential
• Demographic Trend Insights - Understands population and income patterns
• Territory Planning Intelligence - Strategic grouping recommendations
• Revenue Potential Assessment - Estimates market opportunity by zone
• Risk Assessment - Identifies potential challenges in each area

Example AI Analysis Output

{
  "marketOverview": {
    "totalOpportunityScore": 78,
    "marketMaturity": "growing",
    "expansionReadiness": "high"
  },
  "topOpportunityZones": [
    {
      "zipCode": "75201",
      "city": "Dallas",
      "opportunityScore": 92,
      "reasoning": "High population density, above-average income, low competition"
    }
  ],
  "expansionStrategy": {
    "primaryTargets": ["75201", "75202", "75204"],
    "secondaryTargets": ["75205", "75219"],
    "rationale": "Focus on urban core first, expand to affluent suburbs"
  },
  "competitiveInsights": {
    "gaps": ["Northwest sector underserved", "Premium segment opportunity"],
    "threats": ["Two new competitors in 75205"]
  },
  "recommendations": [
    "Prioritize ZIP 75201 for immediate expansion",
    "Consider partnership opportunities in 75205",
    "Target homeowner-heavy areas for recurring revenue"
  ]
}

Use Cases

• Territory Planning - Define optimal service areas
• Franchise Mapping - Ensure non-overlapping territories
• Market Expansion - Find underserved high-potential areas
• Route Optimization - Group ZIP codes for efficiency
• Competitor Analysis - Find gaps in competitor coverage
• Marketing Targeting - Focus on high-value demographics

Features

• Radius-Based ZIP Lookup - Find all ZIPs within X miles
• Census Demographics - Population, income, age distribution
• Household Data - Homeownership rates, housing units
• Competitor Density - Businesses per ZIP code
• Opportunity Scoring - High population + low competition = opportunity
• GeoJSON Export - Map your service area visually
• Territory Overlap Detection - Avoid franchise conflicts

Input Options

Parameter	Type	Description
centerPoint	string	Address, city, or coordinates
radiusMiles	number	Service area radius (5-100 miles)
industry	string	Industry for competitor analysis
includeCompetitors	boolean	Analyze competitor density
includeDemographics	boolean	Include Census data
includeHouseholds	boolean	Include housing data
minPopulation	number	Minimum ZIP population filter
minMedianIncome	number	Minimum income filter
outputFormat	enum	json, geojson, csv

Example Input

{
  "centerPoint": "Dallas, TX",
  "radiusMiles": 25,
  "industry": "plumbers",
  "includeCompetitors": true,
  "includeDemographics": true,
  "minPopulation": 5000,
  "minMedianIncome": 50000
}

Output Format

{
  "zipCode": "75201",
  "city": "Dallas",
  "state": "TX",
  "distanceFromCenter": 2.3,
  "demographics": {
    "population": 12450,
    "medianAge": 34.2,
    "medianHouseholdIncome": 68500,
    "perCapitaIncome": 42000
  },
  "housing": {
    "totalHousingUnits": 8200,
    "ownerOccupied": 3500,
    "renterOccupied": 4200,
    "homeownershipRate": 0.45
  },
  "competition": {
    "competitorCount": 8,
    "competitorsPerCapita": 0.64,
    "saturation": "medium"
  },
  "opportunity": {
    "score": 78,
    "rating": "high",
    "factors": [
      "High population",
      "Above-average income",
      "Low competitor saturation"
    ]
  },
  "coordinates": {
    "latitude": 32.789,
    "longitude": -96.801
  }
}

Opportunity Score Calculation

Factor	Weight	High Score Triggers
Population	25%	>10,000 residents
Income	25%	>$60,000 median
Homeownership	20%	>50% owner-occupied
Competition	30%	<5 competitors

Saturation Levels

• Low: <3 competitors per 10,000 people
• Medium: 3-6 competitors per 10,000 people
• High: >6 competitors per 10,000 people

Pricing

This actor uses pay-per-event pricing:

Event	Description	Price
apify-actor-start	Base cost per run	$0.10
zip_analyzed	Per ZIP code analyzed	$0.005
competitor_lookup	Per competitor lookup	$0.01
demographics_fetched	Per demographics query	$0.005

Example costs:

• 100 ZIPs basic: $0.10 + (100 × $0.005) = $0.60
• 100 ZIPs with competitors: $0.10 + (100 × $0.005) + (100 × $0.01) = $1.60
• 300 ZIPs full analysis: $0.10 + (300 × $0.02) = $6.10

Integration Ideas

• Google Maps Overlay - Visualize territories with GeoJSON
• CRM Territory Assignment - Assign leads to territories
• Route Planning - Group ZIP codes for technician routes
• Marketing Campaigns - Target specific ZIP codes

Best Practices

1. Start Small - Begin with 15-25 mile radius
2. Filter Smart - Use income/population filters
3. Regular Updates - Demographics change, refresh quarterly
4. Overlap Check - Verify territories don't conflict
5. Layer Data - Combine with keyword rankings

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Built by John Rippy | johnrippy.link - Your AI-Powered Local SEO Partner

🏆 2025 Zapier Automation Hero of the Year — Project Phoenix: A 95-step AI sales pipeline cutting development time by 50%. Read more →

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Keywords

service area mapper, service radius, business coverage area, geo targeting, service area visualization, local seo mapping