Data catalog
Home maintenance and hunting spending quintile
Ranks consumer spending into five tiers for products and services associated with home maintenance and hunting, modeled based on households with interests in both DIY repairs and hunting.
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 | home_ | |
| Category | Lifestyle | fig/lifestyle |
| Unit | Quintile | quintile |
| Type | Integer | long |
| Statistical type | Ordinal | ordinal |
| Allowed values | Not applicable | null |
| Deprecation | Not deprecated | false |
| Directionality | Higher percentage means higher relative spending in this activity. | |
Interpretation table
For enumerable attributes, a mapping from values to their interpretations. The key type matches the attribute's data type, and the value is always a string interpretation.
| Value | Interpretation |
|---|---|
1 | 0-20% |
2 | 21-40% |
3 | 41-60% |
4 | 61-80% |
5 | 81-100% |