When an organization opens a cluster of roles in a specific function (e.g., RevOps, data, support), it often signals an initiative that creates demand for tooling in that area.
Track job postings by department and velocity. A spike in open roles for the team you sell to is a leading indicator that a budget and a project already exist.
An AI agent can parse job descriptions for relevant keywords and tools, infer the underlying initiative, and surface accounts where your product maps to what they're hiring for.
Agentic workflows that listen for or act on this signal. Use them as a starting point for what to automate when it fires.
You want inspiration for the signals your team should track and how to act on them across the buyer and customer journey.
You want inspiration for the signals your Ai agents can detect, score, and respond to automatically.
You want inspiration for the signals that matter at the stage of the customer journey you're focused on.
Go-to-market signals are observable events or behaviors—about an organization or a contact—that indicate intent, opportunity, or risk. Captured and scored well, they tell your team (and your Ai agents) who to engage, when, and with what message.
Each signal has a subject (the organization or the contact it describes) and a journey stage (where it fires—buyer, onboarding, product, retention, or advocacy), so you can route the strongest ones into the right workflow or automation.