SwiftERM explained: product prediction, individual timing and autonomous email
How the technology turns customer behaviour into purchasing opportunities
SwiftERM continuously evaluates each customer’s purchase history and browsing behaviour to predict which products are becoming relevant to that individual. Its autonomous system selects those products, assembles a personalised email and applies send-time optimisation (STO) to decide when that recipient is most likely to respond. These films explain the decisions behind the process and why connecting prediction to delivery matters commercially.
For your business, the opportunity is to generate further purchases from customers you have already acquired, without building another campaign or managing another set of segments and triggered flows. Start with the product explainer, explore how SwiftERM works, then assess the historical customer results against your own margins and subscription cost.