Growth and Marketing

Choose a growth prediction

Growth and marketing teams make decisions about retention, outreach, campaign audiences, and product engagement. The six use cases in this section frame those decisions as predictions over related records. Choose the one that matches the entity you need to assess, the outcome you care about, and the history you have available.

Solutions

• Customer Churn Prediction: Estimate whether a recently active customer will have no activity, purchases, or specified behavior during the next 30 days. Use customer, time stamped activity, and order records to prioritize retention outreach.
• Lead Scoring Optimization: Estimate conversion likelihood or revenue over the next 30 days for leads with a campaign response in the previous seven days. Use lead, response, and interaction history, with an optional condition on sales outreach in the next seven days, to prioritize follow up.
• Customer Lifetime Value Prediction: Estimate customer spending, the likelihood of crossing a spending threshold, or purchase frequency over the next 180 days. Use customer and order history when allocating marketing resources.
• Anti-Targeting Solution: Estimate which campaign users will make no purchase in the next 30 days, optionally excluding previous buyers, or score prepared labels for a fixed campaign period. Use user, purchase session, or label records to review possible audience exclusions.
• First Open Hour Prediction: Estimate each client’s first notification open hour during the next day, conditional on a notification being opened. Use client and open event records to understand likely reading hours.
• Feature Adoption Prediction: Estimate which known features each user may first adopt during the next 30 days. Use user records and prepared first-adoption history to plan relevant outreach.

Open the corresponding solution from the sidebar to explore the use case.