Shopping styles

Indicates an individual's household preferred mode of shopping.

The Faraday Identity Graph contains 1,500+ consumer attributes that can be used by brands, software platforms, and data science teams. Each attribute can be appended in batch or in real time. Also, Faraday supports creating propensity, recommender, and cluster models based on this data.

Technical details

These technical details describe how Faraday represents this attribute internally.

Property	Value	API value
API name	shopping_styles
Category	Lifestyle	`fig/lifestyle`
Unit	Not applicable	`null`
Type	Text	`string`
Statistical type	Nominal	`nominal`
Allowed values	Not applicable	`null`
Deprecation	Not deprecated	`false`
Directionality	Not applicable

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
`Amazon loyalist`	Online-only loyalists who default to Amazon and will only consider other retailers if they match on price and free two-day shipping.
`Luxury in-store`	High-spending, brand-loyal shoppers who prefer the in-store experience and occasionally browse their favorite retailers online.
`Online convenience`	Convenience-driven online shoppers who use Amazon Prime for shipping and streaming but willingly shop across any online retailer or grocery app.
`Traditional in-store`	Traditional in-store shoppers who want to physically interact with products before buying, distrust online shopping, and rely on newspaper and circular coupons.
`Social bargain shopper`	Budget-conscious, social shoppers who enjoy in-store experiences with friends and are motivated by samples, giveaways, deals, and online coupons.
`Omnichannel deal hunter`	Deal-hunting omnichannel shoppers who check online for bargains before visiting stores and leverage multiple credit cards and rewards programs.