A customer left a detractor NPS score or expressed negative sentiment about your product.
Detractor scores and negative sentiment are product feedback signals that double as early churn warnings. The verbatim comment usually contains the actionable insight.
Capture survey scores and free-text sentiment, then route detractors for fast follow-up.
An AI agent can analyze sentiment, summarize the core complaint, and create a prioritized follow-up task for the account team.
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.