Data catalog

Bargain shopper likelihood

Ranks an individual's likelihood to shop on sale or use coupons, modeled based on whether the individual usually put in effort to find and take advantage of the best deals possible and regularly perform numerous activities to get good deals (e.g., look for sale before buying, look online for coupons, line up for store sales, wait for product to go on sale).

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
bargain_shopper_likelihood
CategoryLifestylefig/lifestyle
UnitRankrank
Type Integerlong
Statistical type Ordinalordinal
Allowed valuesNot applicablenull
Deprecation Not deprecatedfalse
Derivations Not applicablenull
Directionality Higher number means a greater ranked likelihood.

Popularity

How much Faraday's models lean on this attribute.

Industry Popularity rank Average share of weight
Home services118 of 2430.2%