Use Case
Find people actively looking to buy in your category. SignalSurf identifies purchase-intent signals in social conversations and helps you engage before competitors.
Your team spends thousands on ads and cold outreach to generate leads. Meanwhile, potential customers are posting on Reddit and Threads saying exactly what they want to buy.
SignalSurf finds people who are actively seeking solutions in your category. Instead of interrupting strangers, you're responding to people who asked for help.
Configure keyword groups around purchase-intent phrases: 'looking for a tool,' 'recommendations for,' 'switching from,' 'budget for.'
Every match gets an intent score. Focus on the conversations most likely to convert instead of spreading thin across hundreds of mentions.
Respond with helpful, contextual replies. Track clicks, signups, and conversions with built-in UTM attribution to measure exact ROI.
AI identifies the difference between casual mentions and active buying signals.
Conversations are scored by conversion likelihood based on language patterns and context.
Store qualified leads in databases with conversation context attached.
Measure cost-per-lead from social listening vs. paid channels with built-in attribution.
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