Cordial supports A/B experiments, automatically updating messages to include better-performing content aligned with KPIs like revenue, gross margin and clicks. Out-of-the-box models attempt to predict everything from churn propensity (i.e., the likelihood of a customer to leave) to product affinity (i.e., a customer’s liking for a product), or users can build custom models and automation triggers based on their business needs, rules and inputs.
“Cordial has extensively emphasized and invested in machine learning throughout the platform, using customizable models for each client,” Swift said. “Clients can view or set the top predictors in each model to ensure they have a clear understanding of how Cordial’s machine learning is working … We believe that clients should have full access and be able to easily understand how our models work to ensure a trusting relationship and to avoid the “black-box” approach of most broad-based, generic AI.”
When asked who he sees as Cordial’s closest rivals, Swift named Braze and