Auto insurance telematics customer likelihood
Ranks an individual's likelihood to use telematics devices in their vehicle to earn auto insurance premium discounts or loyalty rewards for good driving behavior.
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 | auto_ | |
| Category | Financial | fig/financial |
| Unit | Not applicable | null |
| Type | Integer | long |
| Statistical type | Nominal | nominal |
| Allowed values | Not applicable | null |
| Deprecation | Not deprecated | false |
| Derivations | Modeled | ["modeled"] |
| Directionality | Not applicable | |
Popularity
How much Faraday's models lean on this attribute.
| Industry | Popularity rank | Average share of weight |
|---|---|---|
| Real estate | 142 of 441 | 0.2% |