Social media ad influenced purchaser likelihood
Ranks an individual's likelihood to make purchases because they were influenced by a social media ad, modeled based on whether the household members have made six or more purchases by clicking on an ad in a social media app in the last 12 months.
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 | social_ | |
| 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 | 406 of 500 | 0.1% |
| Financial | 291 of 500 | 0.1% |