Data catalog

Internet connected fitness user likelihood

Ranks an individual's likelihood to use internet connected fitness products, modeled based on whether any household members subscribe to a paid fitness program for home workouts, or do any home exercise machines (treadmill, stationary bicycle or bike trainers, elliptical trainer, stair-stepper, rowing machine, weight machine, other large fitness equipment) connect to the internet through a paid subscription (e.g., for live access, for streaming workout programs, for connecting/sharing stats to social media).

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
internet_connected_fitness_user_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
All industries476 of 5000.1%
Solar127 of 1940.3%
Marketing232 of 5000.1%
Real estate362 of 4410.1%