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Models (bi_models)

Overview: These are custom made models created by the D&A department in order to help target customers who are most like a target group (e.g. order refunders, backend purchasers, etc). The model population is scored daily and the scores are delivered to the Lytics SFTP in separate files for each model.

Frequency: Every 30 minutes
Data Source: Advantage
Delivery Method: SFTP to csv import work
Filename: Model_<Lytics Group>_<Date>_<ModelName>_<DateTime>.csv
LQL Advice: It's best to create a separate Lytics user field for each model so that old models can be decommissioned without leaving residual data on Lytics profiles.
Field NameDescriptionSample Value
EmailAddressEmail of the person scored by the modeltest@example.com
ModelNameShort code used to identify the modelUSFREF-MoneyMap
AffiliateOrganization who the model was created forMoney Map
ScoreDateThe date of the model score2020-01-01
ScoreValueThe model score5
ModelNameFriendlyLong name for the modelUS Financial Refund Model for Money Map
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