A known contact visited your pricing page multiple times in a short window.
Repeat pricing-page visits are a high-intent contact signal. When the same person returns to pricing several times, they are likely building a business case or comparing options.
Track page-level engagement tied to identified contacts and weight pricing, ROI, and comparison pages heavily.
An AI agent can watch identified web sessions, detect pricing-intent patterns, and notify the rep with the pages viewed and a suggested next touch.
Ways your team—or an Ai agent—can respond when this signal fires.
Weight pricing, ROI calculator, and comparison page visits higher than blog reads.
Send a contextual message or alert the rep while interest is fresh.
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.