Beer brand switcher likelihood
Ranks an individual's likelihood to switch beer brands, modeled based on whether household members usually buy different brands of beer, and are very willing to try different brands of beer.
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 | beer_ | |
| 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 | 162 of 500 | 0.2% |
| Solar | 103 of 194 | 0.4% |
| Financial | 97 of 500 | 0.3% |
| Ecommerce | 78 of 279 | 0.3% |
| Marketing | 215 of 500 | 0.2% |
| Home services | 157 of 243 | 0.1% |