Market Layer Segmentation

knowledge skill

Segment a market into distinct layers based on predefined criteria such as firmographics, behavioral patterns, or value tiers. Produces a structured list of segments with key attributes and membership counts.

Worked examples

• {"input": {"criteria": "industry,revenue_bracket", "data_source": "s3://data/firmographics_2023.csv", "segment_definitions": "s3://configs/segment_rules.json"}, "output": {"segments": [{"id": "seg_001", "name": "Enterprise Tech", "criteria_met": {"industry": "Technology", "revenue_bracket": "100M+"}, "member_count": 4200}, {"id": "seg_002", "name": "SMB Retail", "criteria_met": {"industry": "Retail", "revenue_bracket": "1M-50M"}, "member_count": 18500}], "summary_stats": {"total_segments": 2, "total_members": 22700, "avg_members_per_segment": 11350}}}
• {"input": {"criteria": "purchase_frequency,avg_order_value", "data_source": "https://db.example.com/customer_behavior.db", "segment_definitions": "file:///configs/behavioral_segments.json"}, "output": {"segments": [{"id": "seg_003", "name": "High-Value Loyal", "criteria_met": {"purchase_frequency": "weekly", "avg_order_value": "500+"}, "member_count": 1200}, {"id": "seg_004", "name": "Occasional Shoppers", "criteria_met": {"purchase_frequency": "monthly", "avg_order_value": "50-200"}, "member_count": 85000}], "summary_stats": {"total_segments": 2, "total_members": 86200, "avg_members_per_segment": 43100}}}

Input

• criteria: string (comma-separated list of segmentation dimensions, e.g., 'industry,revenue,usage_frequency')
• data_source: string (path or URI to a dataset containing firmographic/behavioral data)
• segment_definitions: string (path or URI to a JSON file defining segment thresholds, e.g., '{ "high_value": {"revenue": "1000000+", "usage_frequency": "daily"} }')

Output

• segments: array of objects (each segment with 'id', 'name', 'criteria_met', and 'member_count')
• summary_stats: object (total segments, total members, avg_members_per_segment)

Details

• Skill type: knowledge skill
• Safety level: safe_public_research
• Version: 1.0.0