Give your agent a live view of what each customer is doing: the full sequence of their behavior, structured for reasoning. Your agent starts every conversation with the full custtomer journey already understood.
Every customer arrives to your agent mid-journey. The moment they reach your agent, that context disappears, so it guesses. Here's what it can't see:
Spot hesitation as it happens and step in at the decisive moment, turning "almost" into "bought."
The agent already knows what went wrong. No "walk me through what happened". Straight to the fix.
Recognise when a customer is looping or lost, and offer the right help before they drop off.
Your agent sees the sequence of events itself (what the customer did, in what order), so it can reason about where they're heading, not just react to their latest action.
The gaps between events are signal. Rushing or hesitating, decisive or stuck, your agent perceives the tempo of behavior, not just the fact it happened.
Anything you track via Snowplow SDKs, your agent can see immediately. No modeling, no patterns to pre-define.
Create a live trial environment, send your first events, then work with it from your own coding tool through the MCP server or ask Snowplow Assistant in the console. No expert required, no credit card, no sales call.
