Everything PQ Intel does.

From buying signal detection to signal-anchored outreach drafts — here is every feature PQ Intel ships, explained for the buyers who'll use them.

This page lists each core capability of the PQ Intel platform. Click on any feature card for a detailed breakdown of how it works, what it surfaces, and how to configure it for your outbound or market intelligence workflows.

Choosing a signal intelligence tool

PQ Intel monitors LinkedIn, X/Twitter, Reddit, Hacker News, Dev.to, GitHub discussions, Product Hunt, and Substack. Each platform is configured to detect B2B buying signals specific to that community’s language and context. You can enable or disable platforms in your monitoring settings.
Yes. PQ Intel provides native integrations with Salesforce, HubSpot, and Pipedrive, allowing scored leads and signal context to sync automatically. For other systems, you can use the CSV export or webhook API to push detected leads into any platform.
Generic social listening flags brand mentions and sentiment. PQ Intel’s Composite Intent Scoring weighs explicit purchase intent keywords, recency, platform authority, and discussion depth to surface only leads actively researching a purchase. It ignores brand‑awareness chatter.
Most teams configure their Ideal Customer Profile, select platforms, and set up keyword triggers within 20 minutes. The system begins returning signals immediately, with scoring accuracy refining over the first 48 hours as it learns from your feedback on lead relevance.

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