Data catalog
Online hotel upgrader likelihood
Ranks an individual's likelihood to purchase online hotel upgrades, modeled based on whether household members travel on average at least six days per year for business or personal, and have booked a hotel online at three times in the past two years, and room upgrades are most important or room upgrades are somewhat or very important when booking a hotel, and regularly or occasionally pay extra to upgrade to a more expensive room option.
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 | online_ | |
| 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. | |