Data catalog

Sports merchandise and activewear purchase recency

Indicates how recently an individual purchased an item within the sports merchandise and activewear category.

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.

231,196,884
individuals with known value
+
0
additional individuals with value imputed from their address
+
0
additional individuals with value imputed from their geography
=
231,196,884
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.

Data distribution

Technical details

These technical details describe how Faraday represents this attribute internally.

PropertyValueAPI value
API name
sports_merchandise_and_activewear_purchase_recency
CategoryLifestylefig/lifestyle
UnitMonthsmonths
Type Integerlong
Statistical type Ordinalordinal
Allowed valuesNot applicablenull
Deprecation Not deprecatedfalse
Derivations Observed["observed"]
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.

ValueInterpretation
10-6 months
77-12 months
1313-18 months
1919-24 months
2525 months+

Contribution

1 authority contributed since Jul 2023.

Data observation date Data ingestion date Count ID
2026-05-012026-09-10266,506,942
c5492806-a892-460e-aba1-ee78ffb29c5b
2026-03-012026-07-01264,096,977
1181277b-b751-4a59-aae1-101fa3f55375
2026-02-012026-07-02264,777,400
af53c569-4fe2-4282-975b-4cbf5f85692d
2025-12-012026-08-11268,508,091
84d6a1c5-d142-4a4d-9cb3-902de4c82c30
2025-11-012026-08-11268,299,874
a071c538-cbbf-4faf-8993-53a6d2810951
2025-10-012026-02-05267,680,760
ace9a9e6-ba69-4a69-8301-0dec523b924a
2025-07-012026-01-28262,889,193
a51ec85a-c11f-4b07-8ee5-35a8120f8bd2
2025-04-012026-02-06262,668,284
cb1857b9-bd1d-44c1-8093-9ac634bbf433
2025-03-012026-01-18261,432,302
87669a43-8737-4a8b-a226-17a05b5bf229
2024-11-012026-01-28246,860,464
7c0b300e-8a87-44f8-aeb7-8b90596fc1ac
2024-06-012026-02-05248,015,318
8fc3fa4d-9436-4d62-a1c6-2093c8a6ce31
2024-03-012025-10-11248,916,514
5b84b6ac-adf8-4775-ba5c-853340ed9338
2023-07-012026-02-05246,101,092
49e62ee3-2dbf-46a1-8c14-608702fb14cb

Popularity

How much Faraday's models lean on this attribute.

Industry Popularity rank Average share of weight
Solar71 of 1940.4%
Financial80 of 5000.3%