Insight model feed layout sample | Redpoint Documentation

The following table provides sample values for the feed layout definition. In this sample, a single record uses the insights model sample, but the sample file contains a couple of generic examples.

You can use the attached sample file for testing and baseline configuration.

cfl - insight model sample records 202411.csv

Required fields are marked as (Required) in the field description column; fields not marked as required are optional.

Business name	Field name	Field description	Field data type/length	Sample values
System of Record Name	`sor_name`	Name of the system that is the authoritative data source for a record.	`char(100)`	`Modeling Vendor A`
Source Model Id	`source_model_id`	(Required) This field is the natural primary key. Uniquely identifies a marketing model.	`char(50)`	`P2P_Individual_01`
Model Name	`model_name`	Name of the model.	`char(128)`	`Propensity to Purchase`
Model Version Number	`model_version_num`	(Required) Version number of the model to show multiple iterations/releases/versions of the model.	`char(32)`	`1`
Model Start Date	`model_start_date`	(Required) Effective enforce start date of the model: (`YYYY-MM-DD HH:mm:ss`).	`DATETIME`	`10/1/2024 10:00`
Model End Date	`model_end_date`	Effective enforce end date of the model: (`YYYY-MM-DD HH:mm:ss`).	`DATETIME`	`12/31/2025 10:00`
Model Description	`model_desc`	User provided description of the model.	`char(512)`	`Determine Propensity to Buy`
Model Type	`model_type`	Examples: Clustering; Classification; Regression; Recommender; p2purchase.	`varchar(50)`	`Predictive` `Predictive Behavior Model` `Algorithm`
Model Type Description	`model_type_desc`	A description of the entity identified by unique code or an identifier.	`varchar(100)`	N/A
Model Algorithm	`model_algorithm`	Model algorithm commonly used for customer segmentation (grouping customers based on specific qualities such as demographics or behavioral patterns).	`varchar(100)`	N/A
Source Record Create Datetime	`source_rec_create_datetime`	The datetime when the record was created at source system (`YYYY-MM-DD HH:mm:ss`).	`datetime`	N/A
Source Record Update Datetime	`source_rec_update_datetime`	The datetime of the latest update of the record at source system (`YYYY-MM-DD HH:mm:ss`).	`datetime`	N/A