An account is actively researching your category or competitors on third-party sites.
Third-party intent data surfaces accounts researching your category before they ever visit your site. A surge in topic activity or competitor comparison views signals an active evaluation.
Blend intent provider data with your ICP to focus on accounts that are both in-market and a good fit.
An AI agent can monitor intent topics, correlate spikes with target accounts, and trigger account-based plays at the right moment.
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.