Data catalog

Product seeker food and drink likelihood

Ranks an individual's likelihood to try new food and drinks, modeled based on whether the household usually purchase different brands of food and non-alcoholic beverages and the household is very willing to try different brands of food and non-alcoholic beverages.

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
product_seeker_food_and_drink_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.