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Predict if a User will Contact an Agent or Representative

In this use case example, we will be walking through how to predict the future behavior of users using a Machine Learning Pipeline. Specifically, we’ll cover how to predict if a User will contact an Agent or Representative.  This could be a real estate or insurance agent or in other cases could be a financial advisor.  In any case, the goal is to predict which users are most likely to get in contact within a specified time frame.

What data do I need for this prediction?

The actions available for you to predict with a Future Events pipeline are based on the Event data that you are sending into Cortex. This sample prediction requires two pieces of information:

  • Contact Event Type: an event representing that a user has initiated contact, be it through a form, email, or phone call.

While the above are the only pieces of information required to set up our sample prediction, more data will typically lead to better predictive performance. Other information that can be used to build features for our pipeline include:’

  • Additional User Behaviors (e.g. logins, clicks, pageviews, adds to cart, etc.) with additional metadata (e.g. What device is the user on? Where was the user referred from? etc.) which give more detail to the event. As an example of additional metadata for an event, an item category can be passed along with the event in order to differentiate which purchases occurred specifically for the category of interest. Alternatively, item details can be sent in a separate feed as long as the item is identified within your purchase events with a shared ID.
  • User Attributes (e.g. demographics, loyalty status, etc.)

How do I predict a User will Contact an Agent or Representative?

Step 1​: Choose Pipeline Type

Select ‘Create New Pipeline’ from within your Cortex account, and choose the Future Events pipeline type.

Step 2: Define Event

Future Events pipelines are used to predict the probability that some event happens in the future for each of your data points. Any future events prediction can be stated as a sentence as follows:

(A) happens (B) or more times where (C) within (D) days.

For our prediction, that reads:

A Contact Agent event happens once within 30 days.

Here is how that will look in Cortex

Step 3: Define Groups

Sometimes you are looking to make a prediction for every user in your system, while other times you want a prediction only for a certain group of users. This prediction will be made for All Users, so nothing needs to be done for this step.

Step 4: Specify Settings

Settings is where you give a Name to your pipeline as well as the option to add Tags. Name and Tags are the two main ways to find your pipeline within Cortex after it has been created, so best practice is to use descriptive Names and Tags specific to each prediction.

In this example, the pipeline name is “Contact Agent Prediction” and the Tag “Contact” has been added as well.

Additionally, you can choose to run this pipeline only once, or have it rerun weekly. In this example, the pipeline is set to re-run every Sunday. This means that your pipeline will use the latest available data to retrain and re-generate up-to-date predictions on a weekly basis.

Step 5: Review

The final step is to review your pipeline and ensure all settings look accurate! If anything needs updated, simply go ‘Back’ in the workflow and update any step. Otherwise, click ‘Start Training’ and sit back while Cortex generates the predictions.

Those are all the steps necessary to create a future events pipeline that predicts if a user will contact an Agent or Representative.

Related Links

Still have questions? Reach out to support@mparticle.com for more info!

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