Knock Intent

Buyer intent data reflects how accounts engage across your marketing and product assets over time, not just isolated page views. Knock Intent uses AI to analyze first-party engagement signals across websites, content, reviews, and shared assets to understand whether an account is evaluating your solution, researching alternatives, or engaging for non-buying reasons like careers or partnerships. This allows teams to focus only on revenue-relevant opportunities.

Knock Intent evaluates a combination of engagement signals, including page views, clicks, content consumption, case study and review engagement, repeat visits, journey sequence, frequency, and recency. Signals are analyzed in context and over time, not in isolation, to avoid false positives such as accidental pricing page visits.

Knock Intent uses AI to map engagement signals from multiple employees at the same company into a unified timeline. These signals are continuously evaluated to calculate an intent score that updates in real time, allowing teams to identify when interest is increasing and which opportunities are ready for sales engagement now.

In Knock Intent, an in-market account is one showing consistent, high-confidence buying signals across multiple touchpoints over time. This includes repeated product exploration, meaningful content engagement, and buyer-like behavior patterns rather than one-off visits or casual research.

Knock AI automatically pushes engagement signals and intent scores into HubSpot or Salesforce in real time. Accounts are enriched with behavioral activity, engagement history, and intent context, enabling routing, workflows, and personalization without manual data entry.

When intent is high, Knock AI routes accounts instantly based on predefined rules and alerts sales teams with full engagement context. When intent is low or non-buying, outreach can be paused automatically, saving SDR and BDR hours while filtering out job seekers, partners, and other non-revenue accounts from the CRM.

Many first-party intent tools rely heavily on page views as standalone signals to infer buying intent. Knock Intent takes a different approach.

Knock Intent uses AI to analyze the full buyer journey over time, combining page views with clicks, content interactions, frequency, recency, and engagement patterns across marketing and product assets. This prevents false positives, such as assuming a single pricing page visit means someone is ready to buy.

By evaluating signals in context and across a timeline, Knock Intent identifies real buying behavior, filters out accidental or non-buying activity, and surfaces opportunities that sales teams should focus on right now.

Know more about Knock AI Vs. traditional intent tools

Knock Intent focuses on real-time, first-party engagement signals from your own digital properties, helping teams understand how accounts interact across their full journey.

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Third-party intent tools can provide valuable external research signals, while Knock AI adds live, in-context intent based on actual engagement with your website, content, and product.

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Together, this gives revenue teams a clearer picture of interest, timing, and readiness, allowing them to prioritize accounts and personalize outreach more effectively.