Overview
Marketers require robust predictive insights to fuel growth and improve retention more than ever before. MessageGears effortlessly connects with your data warehouse, enabling AI-driven models for propensity, churn, lifetime value (LTV), and more.
Common AI use cases:
Increase customer loyalty
Predict key customer lifecycle events to drive repeat purchases and prompt existing customers to choose your company over a competitor.
Reduce churn
Identify and engage with customers that are likely to churn and see rises in profits, consistency, and long-term stability.
Optimize paid media investment
Help campaigns achieve higher conversion rates and avoid ineffective media campaigns.
Increase personalization
Use intelligence like product and channel preferences to deliver more relevant and valuable content to increase engagement.
AI models available
To learn more about each model, how they work, their outputs and the minimum requirements for use in your Accelerator instance click on the links below.
- Product Recommendation
- Engagement Index
- Second Purchase Propensity
- Send Date, Time, and Channel Optimization (STO)
- Purchase Propensity
- Customer Lifetime Value
- Propensity to Churn
How to get started
Each of our models require different data inputs to train the models and score the target populations. To learn more about these inputs please refer to the Data input schemas. If you are interested in activating MessageGears Machine Learning (AI) on your account please speak to your Customer Success Manager.
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