Turn Social Conversations Into Revenue Pipeline.
Discover how real-time social signals drive measurable revenue outcomes. Don't just track visits; track the conversation.
Yesterday's Approach
Traditional ABM relies on historical data and predictive modeling that lags behavior. You're making decisions based on last quarter's static data while buyers are having conversations right now.
Today's Reality
Buyers discuss challenges, evaluate peers, and seek validation on LinkedIn, Reddit, and X every day. These conversations contain real-time buying signals that traditional ABM strategies completely miss.
Multi-Channel Signal Harvesting
B2B buyers engage across an average of 2.7 platforms before contacting sales. We monitor them all.
Peer recommendations and network discussions that signal solution awareness and evaluation.
Unfiltered product discussions and technical deep-dives where buyers seek authentic user experiences.
X (Twitter)
Real-time reactions to industry shifts and solution category discussions that reveal changing priorities.
GitHub
Developer activity and integration challenges that indicate active evaluation and project planning.
How Social Intent Works
A proprietary framework combining LLM-enhanced harvesting with rigid contextual validation.
Multi-Channel Harvesting
Contextual search engines continuously monitor professional, technical, and industry forums.
Intelligent Enrichment
Raw signals are mapped to firmographic data to identify the accounts behind the anonymous users.
Contextual Validation
Proximity analysis filters noise. We ensure the signal comes from a relevant buyer persona, not a bot.
Intent Classification
Signals are ranked by recency and depth (High, Medium, Exploratory) and clustered by topic.
Workflow Integration
ABM-ready intelligence routes directly into your CRM with alerts for sales teams.
Context-Rich Targeting That Resonates
Generic outreach gets ignored. Outreach based on actual conversations gets 45% higher engagement.