Predictive Models

Conversion Rate

Predictive customer data allows you to anticipate your customers’ behavior before it takes place, allowing you to act to encourage it or prevent it to help you reach your business goals.

Using the Conversion Rate predictive model, you can now segment non-depositors/non-paying customers based on their probability to convert, build strategic campaigns that will guide them through the conversion funnel, or even optimize your acquisition campaigns.

The Conversion Rate attribute has been improved significantly in two ways:

Usability: We created five levels of a customer’s likelihood to convert: Highest, High, Medium, Low, and Lowest. Use these segments to create personalized campaigns based on a customer’s likelihood to convert, with different welcome offers and checkout incentives.
Measurement: With the new methodology, Our Machine Learning models will analyze the common behaviors, attributes, or signals of paying customers to predict a non-depositor/non-paying customer’s likelihood to convert.

To learn more about this attribute, read here.

Reactivation Rate

Rather than acquiring new customers or re-acquiring the same customers, your money is best spent re-engaging customers that are already familiar with your brand.

Using the Reactivation Rate predictive model, you can now segment churned customers based on their probability to reactivate, helping you identify how to treat each churned customer with win-back campaigns to improve retention rates.

The Reactivation Rate attribute has also been improved in the following ways:

Usability: We created five levels of a customer’s likelihood to reactivate: Highest, High, Medium, Low, and Lowest. Use these segments to create personalized campaigns based on a customer’s likelihood to reactivate, with different promotions or incentives.
Measurement: With the new methodology, Our Machine Learning models will analyze the common behaviors, attributes, or signals of customers that were either converted or reactivated to predict a churned customer’s likelihood to reactivate.

To learn more about this attribute, read here.

Top Spenders

Discover your most valuable customers ahead of time using our new Top Spender predictive attributes.

Using the Top Spender predictive model, you can now get a stronger grasp on which customers will deliver the highest ROI. This information can help you to effectively allocate your marketing budget by segmenting customers based on their probability of becoming a top spender and altering your campaigns accordingly.

Learn more about Top Spender predictive attributes here.

Stream Builder

Streamline cross-functional communication using Notes and Tags

Make sure your team members are in the know using Notes and Tags in the Stream Builder. You can now leave notes, comments, or any other information you need your colleagues to know when creating and monitoring your streams.

Add Tags to your streams to easily find your campaigns in Mission Control using the "Tag" filter.

To learn how to build a stream, read here.

Mission Control

Increased flexibility when deleting campaigns

We have added the ability to delete and edit future occurrences of a recurring campaign while in “Processing” status if they are set up using the Conditional Execution / Re-Evaluate Target Group function.

|| Please note that the action cannot be undone once a campaign is deleted. To learn more about how to delete campaigns, read here.