Low price female apparel accessories engagement intensity
Combines how much and how recently the individual purchased low-price women's apparel and accessories, ranked from low to high engagement.
Coverage
For how many people does Faraday have a value for this attribute? Depending on the type of attribute, Faraday could know a value for people at the individual level, or infer it based on values it knows for each person's address. Finally, in some cases, we can estimate a value for a person based on what we know about other people in their area.
Time series
Faraday collects observations for this attribute over time. This chart shows how many observations we collected at different times.
Data distribution
Technical details
These technical details describe how Faraday represents this attribute internally.
| Property | Value | API value |
|---|---|---|
| API name | low_ | |
| Category | Engagement | fig/engagement |
| Unit | Score | score |
| Type | Integer | long |
| Statistical type | Ordinal | ordinal |
| Allowed values | Not applicable | null |
| Deprecation | Not deprecated | false |
| Derivations | Not applicable | null |
| Directionality | Higher first digit means more engaged, higher second digit means a more recent engagement | |
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 |
|---|---|
11 | Dormant ticket female apparel acc minimal |
12 | Lapsed ticket female apparel acc minimal |
13 | Fading ticket female apparel acc minimal |
14 | Engaged ticket female apparel acc minimal |
15 | Active ticket female apparel acc minimal |
21 | Dormant ticket female apparel acc casual |
22 | Lapsed ticket female apparel acc casual |
23 | Fading ticket female apparel acc casual |
24 | Engaged ticket female apparel acc casual |
25 | Active ticket female apparel acc casual |
Contribution
1 authority contributed since Jul 2023.
| Data observation date | Data ingestion date | Count | ID |
|---|---|---|---|
| 2026-05-01 | 2026-09-10 | 266,506,942 | c5492806-a892-460e-aba1-ee78ffb29c5b |
| 2026-03-01 | 2026-07-01 | 264,096,977 | 1181277b-b751-4a59-aae1-101fa3f55375 |
| 2026-02-01 | 2026-07-02 | 264,777,400 | af53c569-4fe2-4282-975b-4cbf5f85692d |
| 2025-12-01 | 2026-08-11 | 268,508,091 | 84d6a1c5-d142-4a4d-9cb3-902de4c82c30 |
| 2025-11-01 | 2026-08-11 | 268,299,874 | a071c538-cbbf-4faf-8993-53a6d2810951 |
| 2025-10-01 | 2026-02-05 | 267,680,760 | ace9a9e6-ba69-4a69-8301-0dec523b924a |
| 2025-07-01 | 2026-01-28 | 262,889,193 | a51ec85a-c11f-4b07-8ee5-35a8120f8bd2 |
| 2025-04-01 | 2026-02-06 | 262,668,284 | cb1857b9-bd1d-44c1-8093-9ac634bbf433 |
| 2025-03-01 | 2026-01-18 | 261,432,302 | 87669a43-8737-4a8b-a226-17a05b5bf229 |
| 2024-11-01 | 2026-01-28 | 246,860,464 | 7c0b300e-8a87-44f8-aeb7-8b90596fc1ac |
| 2024-06-01 | 2026-02-05 | 248,015,318 | 8fc3fa4d-9436-4d62-a1c6-2093c8a6ce31 |
| 2024-03-01 | 2025-10-11 | 248,916,514 | 5b84b6ac-adf8-4775-ba5c-853340ed9338 |
| 2023-07-01 | 2026-02-05 | 246,101,092 | 49e62ee3-2dbf-46a1-8c14-608702fb14cb |
Popularity
How much Faraday's models lean on this attribute.
| Industry | Popularity rank | Average share of weight |
|---|---|---|
| All industries | 345 of 500 | 0.1% |