Data catalog
Dining out dessert eater likelihood
Ranks an individual's likelihood to purchase dessert when dining out, modeled based on whether the household purchase food or beverages from restaurants (e.g. from fast food restaurants, casual dining, fine dining, or bars/clubs/lounges, including dining in, take out and delivery) at least four times per month, and does the household always, almost always, or sometimes purchase dessert other than ice cream, shake, or cookies.
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 | dining_ | |
| 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. | |