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Disabled
Model Configuration
Type
Value
Y/N (Default = Y)

&

TO
TO
No

&

TO
TO
No

&

TO
TO
No
Customers who have done this transaction before:
Training Observation End Date:
Leave blank if you want the system to take it automatically
Backtest Observation End Date:
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Response Window:
Products:



Customers:



Training Frequency:
Days (Default = 7)
Scoring Frequency:
Days (Default = 7)
Min. Response Rate to Build (%):
Schedule First Run:
Model Configuration
Explicit
Churn Event
Value
Recency
Training Frequency:
Days (Default = 7)
Scoring Frequency:
Days (Default = 7)
Training Observation End Date:
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Backtest Observation End Date:
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Response Window:
Response Delay:
Min. Response Rate to Build (%):
Schedule First Run:
Datasets:



Customers:



Training Frequency:
Days (Default = 7)
Scoring Frequency:
Days (Default = 7)
Min. Response Rate to Build (%):
Schedule First Run:
Model Configuration
Type
Value
Y/N (Default = Y)

&

No

&

No
Customers who have done this transaction before:
Training Observation End Date:
Leave blank if you want the system to take it automatically
Backtest Observation End Date:
Leave blank if you want the system to take it automatically
Response Window:
Products:



Customers:



Training Frequency:
Days (Default = 7)
Scoring Frequency:
Days (Default = 7)
Min. Response Rate to Build (%):
Schedule First Run:
Model Configuration
Training Observation End Date:
Leave blank if you want the system to take it automatically
Backtest Observation End Date:
Leave blank if you want the system to take it automatically
Response Window:
Products:



Customers:




Training Frequency:
Days (Default = 7)
Scoring Frequency:
Days (Default = 7)
Min. Response Rate to Build (%):
Schedule First Run:
Model Configuration
Repeater Event
Value
Recency
Training Frequency:
Days (Default = 7)
Scoring Frequency:
Days (Default = 7)
Customers:


Min. Response Rate to Build (%):
Schedule First Run:
Model Configuration
Response Window:
Products:



Customers:



Training Frequency:
Days (Default = 7)
Scoring Frequency:
Days (Default = 7)
Min. Response Rate to Build (%):
Schedule First Run:

A Summary View of the Propensity Models in SOLUS. Shows the Key Value Evaluation Metrics.

Model Overview
Model Training
Model Dataset
Model Validation
ROC Curve
Calibration Chart
Top Features & Feature Importance
Intelligence Reports: Gain Chart
Customer
% Conv
% Gain
Cuml. Base
Cuml. Conv

Model Notes :

Model Counts :

Top 1 Decile

Top 2 Decile

Top 5 Decile

% PcCustInBin
% RespRateInBin
% PcCustInBin
% RespRateInBin
% PcCustInBin
% RespRateInBin
% PcCustInBin
% RespRateInBin
% PcCustInBin
% RespRateInBin
% PcCustInBin
% RespRateInBin
% PcCustInBin
% RespRateInBin
% PcCustInBin
% RespRateInBin
% PcCustInBin
% RespRateInBin
% PcCustInBin
% RespRateInBin
FEATURE IMPORTANCE GRAPH
% ImportancePc
FEATURE IMPORTANCE TABLE

Bars in dark blue below represent feature values for this customer

% PcCustInBin
% RespRateInBin
% PcCustInBin
% RespRateInBin
% PcCustInBin
% RespRateInBin
% PcCustInBin
% RespRateInBin
% PcCustInBin
% RespRateInBin
% PcCustInBin
% RespRateInBin
% PcCustInBin
% RespRateInBin
% PcCustInBin
% RespRateInBin
% PcCustInBin
% RespRateInBin
% PcCustInBin
% RespRateInBin

Models Overview

Propensity to
Buy – 7 Days​

Status:

Scores generated in last days

Propensity to
Churn​

Status:

Scores generated in last days

Propensity to
Repeat

Status:

Scores generated in last days

Propensity to Buy
a Specific Category

Status:

Scores generated in last days

Multi Touch
Attribution​

Status:

MTA events generated in last days

Contextual Multi
Armed Bandit​

Status:

Auto-Prioritization actions generated in last days