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.
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.
| Property | Value | API value |
|---|---|---|
| API name | internet_ | |
| Category | Lifestyle | fig/lifestyle |
| Unit | Rank | rank |
| Type | Integer | long |
| Statistical type | Ordinal | ordinal |
| Allowed values | Not applicable | null |
| Deprecation | Not deprecated | false |
| Derivations | Not applicable | null |
| 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 industries | 476 of 500 | 0.1% |
| Solar | 127 of 194 | 0.3% |
| Marketing | 232 of 500 | 0.1% |
| Real estate | 362 of 441 | 0.1% |