People, objects, and events
Store people, orders, subscriptions, and policies, plus an event log that never overwrites history.
People, your objects, and events from Shopify, Skio, your database, or an events API. The agent sees the order or balance live.










People, your objects, and an event log, in one place the agent reads live.
Store people, orders, subscriptions, and policies, plus an event log that never overwrites history.
Pull data from Shopify, Skio, a read-only Postgres connection, or a REST events API.
Segment from a person to their objects and related objects, without writing SQL.
The agent reads the record live, so it never asks for what you already have.
Entering a segment enrolls the customer into a journey of sends, delays, and branches. A change in a record can start a conversation on its own.
The context panel shows the teammate the same person, objects, and deep links the agent reads, right next to the messages.
Connect Shopify, Skio, your read-only database, or the events API. Data syncs on a schedule.
Pick variables up to three relationships deep. Boom re-evaluates the segment on a schedule.
A customer who enters the segment is enrolled into a workflow builder journey.
The agent starts the conversation with the person, objects, and events in view.
Only what the conversation needs. Boom reads Shopify, Skio, a read-only copy of your database, and a REST events API on a schedule, and never writes back.
Up to three relationships deep: a person, their objects, and the objects related to those. It is all in a builder, with no SQL.
Yes. The schema is injected into the agent, so it reads the person, objects, and events live. Your team sees the same context in the inbox.
Near real time. It polls sources on a schedule instead of streaming changes, and does not stitch anonymous identities. That cadence fits most lifecycle work.
In 15 minutes we connect a source and build a segment that starts a real conversation.