Circana · Schema
ConsumerPurchaseRecord
Individual consumer purchase data record
AnalyticsConsumer DataMarket ResearchRetailCPGPoint-of-SaleConsumer InsightsBusiness Intelligence
Properties
| Name | Type | Description |
|---|---|---|
| segment | string | Consumer demographic segment |
| category | string | Product category name |
| penetration_pct | number | Category penetration percentage |
| buy_rate | number | Average purchase frequency |
| avg_spend | number | Average spend per buyer |
| trips_per_buyer | number | Average shopping trips per buyer |
| channel | string | Retail channel |
JSON Schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "#/components/schemas/ConsumerPurchaseRecord",
"title": "ConsumerPurchaseRecord",
"type": "object",
"description": "Individual consumer purchase data record",
"properties": {
"segment": {
"type": "string",
"description": "Consumer demographic segment",
"example": "18-34"
},
"category": {
"type": "string",
"description": "Product category name",
"example": "Beverages"
},
"penetration_pct": {
"type": "number",
"format": "double",
"description": "Category penetration percentage",
"example": 72.5
},
"buy_rate": {
"type": "number",
"format": "double",
"description": "Average purchase frequency",
"example": 3.2
},
"avg_spend": {
"type": "number",
"format": "double",
"description": "Average spend per buyer",
"example": 15.8
},
"trips_per_buyer": {
"type": "number",
"format": "double",
"description": "Average shopping trips per buyer",
"example": 4.1
},
"channel": {
"type": "string",
"description": "Retail channel",
"example": "grocery"
}
}
}
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