Data catalog
Dinner dining enthusiast likelihood
Ranks an individual's likelihood to dine out frequently for dinner, modeled based on whether household members purchase dinner from a restaurant three or more times per week.
The Faraday Identity Graph contains 1,500+ consumer attributes that can be used by brands, software platforms, and data science teams. Each attribute can be appended in batch or in real time. Also, Faraday supports creating propensity, recommender, and cluster models based on this data.
Technical details
These technical details describe how Faraday represents this attribute internally.
| Property | Value | API value |
|---|---|---|
| API name | dinner_ | |
| Category | Lifestyle | fig/lifestyle |
| Unit | Rank | rank |
| Type | Integer | long |
| Statistical type | Ordinal | ordinal |
| Allowed values | Not applicable | null |
| Deprecation | Not deprecated | false |
| Directionality | Higher number means a greater ranked likelihood. | |