High price female apparel accessories engagement intensity
Combines how much and how recently the individual purchased women's apparel and accessories where the 12-month average spend is $150 or more, ranked from low to high engagement. Known or imputed for 9.9 million individuals — 3.8% of Faraday's identity graph.
At a glance
- Coverage today
- 3.8%
- Typical coverage
- 3.9%
- Individuals with a value
- 9.9M
- Median
- 32 score
- Most values come
- from the person
- Latest collection
- Jun 1, 2026
Distribution
How values are spread across the records that have one. Use it to check that the attribute tells records apart: when one value holds nearly everyone, it will not separate audiences much. The bars run in rank order, from the lowest value to the highest. The shading groups the bars into percentile bands.
Share by value
Share of individuals with a known value in each band. The middle 50% falls between 21 and 44 score, shaded darkest.
P10 means 10% of individuals have a value at or below this one, and P90 means 90% do. P25 and P75 bound the middle half. The median is the middle: half are below it, half above.
Median over time
32 score → 32 score across 12 collections, shaded between P25 and P75. Estimated from a 1% sample of individuals.
What the codes mean
25 codes
- 11
- Dormant high ticket female apparel acc minimal
- 12
- Lapsed high ticket female apparel acc minimal
- 13
- Fading high ticket female apparel acc minimal
- 14
- Engaged high ticket female apparel acc minimal
- 15
- Active high ticket female apparel acc minimal
- 21
- Dormant high ticket female apparel acc casual
- 22
- Lapsed high ticket female apparel acc casual
- 23
- Fading high ticket female apparel acc casual
- 24
- Engaged high ticket female apparel acc casual
- 25
- Active high ticket female apparel acc casual
- 31
- Dormant high ticket female apparel acc enthusiast
- 32
- Lapsed high ticket female apparel acc enthusiast
- 33
- Fading high ticket female apparel acc enthusiast
- 34
- Engaged high ticket female apparel acc enthusiast
- 35
- Active high ticket female apparel acc enthusiast
- 41
- Dormant high ticket female apparel acc moderate
- 42
- Lapsed high ticket female apparel acc moderate
- 43
- Fading high ticket female apparel acc moderate
- 44
- Engaged high ticket female apparel acc moderate
- 45
- Active high ticket female apparel acc moderate
- 51
- Dormant high ticket female apparel acc champion
- 52
- Lapsed high ticket female apparel acc champion
- 53
- Fading high ticket female apparel acc champion
- 54
- Engaged high ticket female apparel acc champion
- 55
- Active high ticket female apparel acc champion
Coverage
How widely Faraday has this attribute, and how precise its values are. How many of your own records get a value also depends on how many of them Faraday matches. The state map shows where coverage is thin. Coverage over time shows whether it is growing or shrinking.
Coverage by state
Percentage of individuals in each state with a value.
Coverage over time
Share of individuals holding a value at each monthly snapshot. A value carries forward for one year.
How we arrive at a value
Whether a value was observed on the person themselves, carried from their address, or estimated from the people around them.
- On the person — 100%
- A named person, from a record about that person.
- From address — 0%
- Not used for this attribute — no value is inherited this way.
- From geography — 0%
- Not used for this attribute — no value is inherited this way.
Coverage, in context
Where 3.8% sits on the catalog’s own coverage range.
Higher coverage than 14% of individual-level attributes in the catalog
Freshness
Whether the values reflect today. A long gap since the latest collection means they may lag behind what is true now.
Collections
How recently this was collected, and how often a new collection arrives. Each bar is one collection, sized by how many individuals it carried. Gaps are real — collection is periodic, not continuous.
Change between collections
How much values move between collections. Income or life events should move; heavy change in something steady can mean noisy data.
of individuals changed value between the two most recent collections — 1.3× the catalog median of 16.0%.
Contribution ledger
14 ingestions1 authority contributed since Jul 2023.
| Observed | Ingested | Count | ID |
|---|---|---|---|
| 263,433,649 | 74d6c94c-8e2b-48fe-a704-50c99ad3cdde | ||
| 266,506,942 | c5492806-a892-460e-aba1-ee78ffb29c5b | ||
| 264,096,977 | 1181277b-b751-4a59-aae1-101fa3f55375 | ||
| 264,777,400 | af53c569-4fe2-4282-975b-4cbf5f85692d | ||
| 268,508,091 | 84d6a1c5-d142-4a4d-9cb3-902de4c82c30 | ||
Related attributes
Attributes whose descriptions are closest to this one.
Use it in the API
Send an email, phone, or address. Get High price female apparel accessories engagement intensity back in real time.
- Add
high_price_female_apparel_accessories_engagement_intensityto a project. - Send an email, phone, or address to the project's append endpoint. The response carries High price female apparel accessories engagement intensity for the matched person.
curl -X POST 'https://api.pro.faraday.ai/v1/projects/YOUR_PROJECT_ID/append' \
-H 'Authorization: Bearer YOUR_API_KEY' \
-H 'Content-Type: application/json' \
-d '{
"email": "jane.doe@example.com"
}'→ {"attributes":{"high_price_female_apparel_accessories_engagement_intensity":"Lapsed high ticket female apparel acc enthusiast"}}Technical details
null in any row means the label does not apply, or is not recorded, for this attribute.
- API name
- The field to request through the API, and the key it comes back under in a payload.
- high_
price_ female_ apparel_ accessories_ engagement_ intensity - Category
- The catalog group the attribute is filed under.
- fig/engagement
- Type · unit
- The kind of value and, where it has one, its unit of measure. Counts on this page are in individuals, whatever the unit.
- Integer · score
- Statistical type
- How the values are meant to be read: a measured amount, one of a ranked set, one of an unordered set, or several from an unordered set. The chart's form comes from the published values; for categories without a rank prefix, this label decides whether they are listed in rank order or by size.
- ordinal
- Allowed values
- The full list of values, when the attribute has a fixed set.
- null
- Derivations
- How the value is produced, each with its definition.
- null
- How values combine
- How the values from the attribute's sources become the one value delivered.
- The sum of up to 2 source fields.
- Directionality
- For ordered values, what a higher value means.
- Higher first digit means more engaged, higher second digit means a more recent engagement
- Deprecation
- True when the attribute is being retired; choose another for new work.
- false