Data catalog

MT - Department Store Cosmetic Purchasers

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.

Description

Vendor's Department Store Cosmetic Purchasers model which ranks consumers based upon their likelihood to purchase cosmetics from department stores. 
Pricing tier
Premium
Category
Lifestyle
Unit
None
API name
mt_department_store_cosmetic_purchasers

Coverage

242,116,901
individuals with known value
+
0
additional individuals with value imputed from their address
+
0
additional individuals with value imputed from their geography
=
242,116,901
individuals with known or imputed value

Time series

Faraday collects observations for this attribute over time. This chart shows how many observations we collected at different times.

Technical details

These technical details describe how Faraday represents this attribute internally.

Type
Long
Statistical type
Ordinal
Deprecation
Not deprecated
Null value replacement
None
Null value interpretation
Value unknown
Directionality
None

Contribution

1 authority contributed 512,501,544 observations since Jun 2024.
As of Authority Count ID
2025-06-01Epsilon262,542,918
6f7e80a9-938a-4e2b-8a2c-68912afcddc8
2024-06-01Epsilon249,958,626
05978a2c-b823-4219-90b0-dc0c3294c49f