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    Creating a Transactional churn

    Overview

    You can select a Transactional churn to run the churn model for identifying the customers with one-time purchase of products and services. This document can help to predict whether a customer is at risk of no longer performing transactional activities of your products or services.

    To predict with a Transactional churn

    Follow the below steps to create a customer prediction using transactional churn model:

    1. Go to Predict > Built-in.
    2. On the Predictions page, click the Create tab.

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    1. In the Customer churn model, click Use this model.

    The Customer churn model form appears.


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    1. Click Get Started.

    The Transactional churn model page appears.


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    Add Model name

    1. In the Transactional churn model page, type a unique name in the Name text area.
    2. Type a unique name in the Output table name.
    3. Click Save & Proceed.

    The Model preferences page appears.


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    Add Model preferences

    1. In the Model preferences page, enter a value in the Prediction Window text area.
    2. Enter a value in the Churn Definition text area.

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    The value that you enter should be minimum 60.

    Item Description
    Prediction Window Number of days under which the customers who may churn.
    Churn Definition Number of days where a customer has churned if they have made no purchases.
    1. Click Save & Proceed.

    The Add required data page opens.


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    Add Purchase Logs

    Follow the below steps to customize the purchase history of your customers by assigning fields from your data that corresponds to your selected attributes:

    1. In the Add required data page, click Add New.

    The Add Customer Data form appears.


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    1. Select Purchase history from the drop-down list.
    2. Select Transaction ID from the drop-down list.
    3. Select Transaction date from the drop-down list.
    4. Select Value of transaction from the drop-down list.
    5. Select Unique product ID from the drop-down list.
    6. Specify the information if this transaction was a return from the drop-down list.
    7. Click Save.

    The created purchase log gets created under the Table column.


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    1. Click Save & Proceed.

    The Additional data page appears.


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    Add Additional data

    Follow the below steps to add additional data for the model to predict the customers having higher risk of churn:

    1. On the Additional data page, click Add New.

    The Add Customer Data form appears.


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    1. Select a Customer activity table from the drop-down list.
    2. Select a Primary key from the drop-down list.
    3. Select a Timestamp from the drop-down list.
    4. Select an Event from the drop-down list.
    5. Select Details from the drop-down list.
    6. In Activity type, perform one of the below actions:
    To Do
    Select an Activity Type from the drop-down list Click Select from existing.
    Type a new activity type in the Activity Type text area Click Create new.
    1. Click Save.

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    In case, you do not have any additional data to add, you can skip this step.

    The Additional data gets created.


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    1. Click Save & Proceed.
    2. The Data update schedule page appears.

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    Update Schedule

    Follow the below steps to update schedule to run the transactional churn model:

    1. In the Data update schedule page, perform one of the below actions:
    To Do
    Import new data to your model on a weekly interval Click Weekly.
    Import new data to your model on a monthly interval Click Monthly.
    1. Click Save & Proceed.

    The Review your model details page appears.


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    To review and run your model

    Follow the below steps to save your churn model or run it:

    1. In the Review your model details page, click the Edit icon to edit the details.
    2. Once you complete your review or editing, perform one of the below actions:
    To Do
    Save and run your churn model Click Save & Run.
    Save your churn model Click Save & Close.
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