The same feature request is surfacing repeatedly across customers and channels.
A feature request that recurs across support, sales calls, and community is a product feedback signal worth quantifying. Clustering these requests reveals roadmap demand and revenue at stake.
Aggregate feedback from every channel, deduplicate by theme, and tie requests to account value.
An AI agent can cluster free-text feedback into themes, attach ARR impact, and route prioritized summaries to product.
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.