Predict Customer Response and Outcomes
Example Use Cases:
Will the customer buy my product?
Will the customer have high profitablity or LTV?
Will the contact become a MQL, SQO, or convert?
Will the lead respond to the offer or campaign?
Will the customer buy again?
Determine actions to take now to win later
Example Use Cases:
What’s the next best offer?
What’s the likelihood of response?
What should I cross-sell?
How should segment?
What customer behaviors cause outcomes?
Predict any single value
Example Use Cases:
What will be my CAC and CLTV?
What is the best price to offer?
How will my performance be next week??
How many orders will occur this month?
What will my churn rate be next quarter?
Forecast any series of numbers over time
Example Use Cases:
What will sales be next week?
How many orders will occur tomorrow?
How will my variable costs change?
How will my risk exposure change?
What will be my conversion over time?
Determine “why” predictions occur and the drivers in the data
Example Use Cases:
What touches in the journey contribute to conversion?
What’s important in the path to purchase?
What data drives forecasting and outcomes?
What data matters and is important?
How do I simulate the future?
Explain models and understand the bias in your data
Example Use Cases:
What specific values in my data caused the sale?
How does each data element contribute to outcomes?
What values are important to consider?
What data is causing bias in my results?
Why does the model predict what it
predicts?
