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Event-Based Automation

Event-based automation runs actions in response to discrete events, such as a signup, purchase, or quiz completion, treating each event as a signal to act on.

In depth

Event-based automation centers on the idea that meaningful moments in a customer's journey are captured as events with rich context, and each event can launch a tailored response. Unlike a simple threshold trigger, an event carries a payload, such as which quiz was completed, the score, and the answers, so the follow-up can be highly specific. Modern stacks stream these events between tools so a single action can update the CRM, start a sequence, and notify a rep at once.

The common pitfall is failing to standardize event names and properties, which leaves automations brittle and analytics unreliable. In a lead-qualification funnel, event-based automation turns each step of the quiz into actionable data: a 'quiz_completed' event with the tier and category scores lets you branch follow-up by exactly what the prospect cares about, instead of sending one generic message to everyone.

Example in practice

A B2B platform emits a 'quiz_completed' event carrying the tier and top category. For leads whose weakest category is 'security', an automation sends a security-focused case study and tags the deal accordingly, helping reps open calls with the prospect's actual concern.

Frequently asked questions

How does event-based automation differ from trigger-based automation?

Trigger-based automation often reacts to a condition becoming true, while event-based automation reacts to discrete events that carry context, like a 'quiz_completed' payload. Events let follow-up actions use detailed properties from the moment they fired.

What is an event payload?

A payload is the data attached to an event, such as the score, tier, and answers from a quiz. Automations read the payload to personalize the next action rather than treating every event the same.

Why standardize event names?

Consistent event names and properties keep automations reliable and analytics accurate across tools. Without a naming convention, flows break and reporting becomes hard to trust.

Related terms

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