A previously inactive contact started opening and clicking emails again.
When a contact who has been silent for months suddenly re-engages with email, it can indicate renewed interest or a shift in their situation.
Track engagement recency and detect reactivation patterns against a dormancy baseline.
An AI agent can identify reactivated contacts, infer what content re-sparked interest, and suggest a light-touch re-engagement sequence.
Ways your team—or an Ai agent—can respond when this signal fires.
Flag contacts crossing from dormant to active based on opens and clicks.
Recommend a low-pressure re-engagement message tied to recent activity.
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.