Data catalog
Home and fashion trend purchase recency
Months since the individual's last purchase in trend-driven home decor and fashion categories.
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 | Months | months |
| Type | Integer | long |
| Statistical type | Ordinal | ordinal |
| Allowed values | Not applicable | null |
| Deprecation | Not deprecated | false |
| Derivations | Not applicable | null |
| Directionality | Higher number means the event occurred further in the past. | |
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 | 0-6 months |
7 | 7-12 months |
13 | 13-18 months |
19 | 19-24 months |
25 | 25 months+ |