In context
The B2B world thinks of sales automation as sequences, dialers, and pipeline hygiene tooling. In ecommerce, sales automation looks different - it's lifecycle messaging, real-time intervention, and, in some products, controlled offer experiments - all tied to triggers in shopper behavior rather than rep calendars.
Modern sales automation also folds in AI. Instead of merchants writing every nurture email by hand, AI can draft each message from a brief, and a controlled test can pick the winning variant, with a person approving the strategy.
How Zubby uses this
In Zubby, journeys enroll shoppers from 17 triggers (cart, browse and checkout abandonment, back in stock, price drop, post purchase, delivery events, winback, birthdays, loyalty milestones and more) and send email, SMS, web push, or WhatsApp steps written from your instructions. Cart rescue works in the widget, and broadcasts send one-off campaigns to supported built-in segments. Multi-step journeys require Growth; SMS and WhatsApp steps require Pro, a configured provider, eligible recipients and consent. Email and push also require their sending or subscription setup.
Each journey shows per-step delivery, skip reasons, and conversions, so you can see what fired and why. Zubby's documented split tests cover opening messages and widget themes, with separate administrator-configured prompt tracking; the category example above is not a claim that automated offer experimentation is available in Zubby.