The Predictive Analytics Dashboard provides a visualization of contacts for your brand(s) and their predicted behaviors. The Predictive Analytics Dashboard is only available for clients who have Predictive Analytics or Listrak CRM enabled in their account.
Learn more about the Predictive Models and how they can be used in filtering.
💡 This article covers the visualizations and capabilities for Predictive Analytics-only clients. CRM users will have additional functionality enabled on their dashboards.
Accessing the Dashboard
To access the Predictive Analytics Dashboard you will need specific access granted by the Listrak team. If you do not have access please contact your Account Manager for next steps.
Navigate to Dashboards > CRM Predictive Analytics Dashboard
⚠️ If you have not recently visited the dashboard it may take a few moments for the dashboard to load as it updates the data.
Managing the Dashboard
The Predictive Analytics dashboard is a read-only dashboard. The data can be viewed, but not acted on directly from the dashboard. The data is utilized in any place in the platform that utilizes Listrak's email filtering system, such as sending a message, creating an email split test, or in a go-to step in Listrak Conductor.
The data on the Predictive Analytics Dashboard can be exported to be used in third-party platforms. To export, once you have opened the dashboard, click the gear at the top right. There are two types of exports: PDF and .CSV file. The PDF option will include all tiles on the dashboard in a single document. Th CSV option will download a zip file with each tile as it's own excel csv file. The csv documents will reflect the data that forms the visualizations on the dashboard.
The Predictive Visualizations
The Predictive Analytics dashboard includes 23 different visualizations in the form of graphs, single numbers, and tables.
Predicted CLV - Future Spend
At the top of the dashboard is the first visualization for Predicted Customer Lifetime Value (CLV) or Predicted Future Spend. This visualization shows what the top 25% of spenders are predicted to spend within the next 365 days. Each percentage reflects 1/100th of all of the contacts known to Listrak, including subscribers, unsubscribers, and non-subscribers. For those contacts the average predicted spend is reported.
💡 In Listrak's Filtering System, using Predicted Future Spend to identify contacts based on their spend percentile or the dollar amount of their predicted spend.
Cohort Opportunities
This section of the dashboard utilizes the Predictive Analytics models and combines this data with other data available within the Listrak platform, such as last send date. These cohorts demonstrate how you can combine data types to influence your marketing plan and program.
Subscribers Likely to Purchase, Not Recently Emailed
This cohort visualization displays subscribers on the main marketing list who have not received a marketing email within the last 7 days. The visualization combines Likelihood to Open and Last Send Date to show how many contacts predicted to purchase have not received a marketing email that may help prompt a purchase.
💡 Incorporating contacts who are likely to purchase in your filters can capture contacts who may not fall into your traditional definition of active.
High Value Customers Ready to Unsubscribe
This cohort visualization displays the top 5% of the future spenders based on Predicted CLV who are predicted to have a high likelihood to unsubscribe. The cohort further breaks down contacts to those who are one-time or repeat purchasers.
💡 Incorporating contacts who are likely to purchase in your filters can capture contacts who may not fall into your traditional definition of active.
Repeat Customers at Risk of Churning
This cohort visualization utilizes Listrak's Churn Likelihood Model to display repeat customers who did not purchase within their predicted purchase cycle. The visualization further breaks these purchasers into tiers based on the number of past purchases.
💡 Repeat purchasers are already sticky and provide more value to your business. Consider sending these contacts a winback style message, perhaps with an incentive, to prompt a new purchase.
Likelihood to Act
Listrak's four Likelihood to Act models measure a contact's likelihood to take the specified action within the next 14 days. All contacts including subscribers, unsubscirbers, and never subscribers are reflected in these models.
Likelihood to Act divides contacts into one of four categories within each model based on how they compare to the average likelihood across all contacts. Learn more about each grouping . A contact can only be in one group per activity, but may be in different groups across activities. For example, a contact may be most likely to purchase and least likely to unsubscribe.
The graph and table display the number of contacts who fall into each group and the graph displays the average probability for each group. Above each graph are two additional visualizations: average probability and confidence. The average probability depicts the average likelihood will be taken across all contacts. The confidence is a measure of statistical confidence, or how well Listrak feels the model will predict a contacts behavior.
💡 Add contacts who are likely to purchase to your standard audiences to take advantage of this additional information.
💡 Try targeting contacts who have a high likelihood to unsubscribe in additional channels, like Facebook, using Listrak Exchange. These contacts may be more engaged on social than they are within the email channel.
Purchase Behavior
The purchase behavior models identify factors of a contact's past purchase that can then be used to help predict when and what might incentives them make another purchase.
Churn Likelihood
The Churn Likelihood Model evaluates where a contact is in within their own lifecycle stage. There are four stages of the purchase cycle, three of which are depicted on the dashboard: non-purchase, active, at risk, and churned. The three stages are then broken down to repeat and one-time purchasers.
💡 Set up triggered or recurring campaigns to message contacts as they move into the at risk or churned stages to incentive purchase when it is most relevant to a specific contact.
Coupon Affinity
The Coupon Affinity Model groups contacts into one of four categories based on the percentage of previous purchase a contact made using a coupon. In order to be considered as using a coupon the specific coupon code a customer used when making a purchase must be included in the order details. Customers are broken down into four categories: Full Priced Buyers, Coupon Buyer, Coupon Preference, and No Preference. The contacts are then further broken down into one-time and repeat buyers in each category.
💡 Use dynamic content to send contacts different orders or include or hide a coupon in a triggered messages based on a contact's coupon affinity.
Discount Affinity
The Discount Affinity Model groups contacts into one of four categories based on the percentage of previous purchase a contact made using a discount . In order to be considered as using a discount, Listrak must know the customer paid less than full price for at least one product in the order.. Customers are broken down into four categories: Full Priced Buyers, Discount Buyer, Discount Preference, and No Preference. The contacts are then further broken down into one-time and repeat buyers in each category.
💡 Use dynamic content to offer different levels of discount based on a contact's affinity.