Shoes engagement intensity
Cross-tab of an individual's footwear spending quintile and most recent purchase recency band (0-6 months through 25+ 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 | shoes_ | |
| Category | Engagement | fig/engagement |
| Unit | Score | score |
| Type | Integer | long |
| Statistical type | Ordinal | ordinal |
| Allowed values | Not applicable | null |
| Deprecation | Not deprecated | false |
| Derivations | Observed | ["observed"] |
| Directionality | Higher first digit means more engaged, higher second digit means a more recent engagement | |
Interpretation table
For enumerable attributes, a mapping from values to their interpretations. The key type matches the attribute's data type, and the value is always a string interpretation.
| Value | Interpretation |
|---|---|
11 | Dormant shoes minimal |
12 | Lapsed shoes minimal |
13 | Fading shoes minimal |
14 | Engaged shoes minimal |
15 | Active shoes minimal |
21 | Dormant shoes casual |
22 | Lapsed shoes casual |
23 | Fading shoes casual |
24 | Engaged shoes casual |
25 | Active shoes casual |
Popularity
How much Faraday's models lean on this attribute.
| Industry | Popularity rank | Average share of weight |
|---|---|---|
| All industries | 451 of 500 | 0.1% |
| Financial | 60 of 500 | 0.3% |
| Marketing | 347 of 500 | 0.1% |