Predictive Modeling Response Curves Dataset (version 2022.4)

The ChannelMix Predictive Modeling Response Curves Dataset is used to power the Response Curves section of the Pipeline with Predictive Modeling Dashboard. The dataset contains metrics produced while training the model.

The dataset is refreshed at the same cadence as the Predictive Model is refreshed - monthly by default. Only the most recently produced results are displayed in the dashboard.

Field Name

Field Type

Description

Feature

TEXT

Name of the feature in the model. I.e. Paid Social, Display, etc.

Response Curve Percent

DOUBLE PRECISION

 What fraction of the channel max daily spend is being used to calculate the response curve value?

Response Curve Value

DOUBLE PRECISION

 How saturated is the channel at this response curve percent? Shown as a percentage.

Channel Max Daily Spend

DOUBLE PRECISION

 The largest amount spent in a single day for this feature.

Target Variable Pretty

TEXT

A more descriptive name for the target variable to be displayed in the dashboard.

Target Variable

TEXT

The name of the field the model is trained to predict.

OneView Name TEXT The name of the OneView data is pulled from to model.
Feature Type TEXT The name of the feature used to predict the target variable.

Model Run Date

DATE

The date the model was trained.

Training Start Date

TIMESTAMP

Earliest date provided to the model in training.

Training End Date

TIMESTAMP

Most recent date provided to the model in training.

Insert Date

TIMESTAMP

The date in which the record was loaded into the data warehouse

Channelmix Profile

TEXT

The ChannelMix Profile associated to the data

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