Use Case

Turn Social Conversations Into Qualified Leads

Find people actively looking to buy in your category. SignalSurf identifies purchase-intent signals in social conversations and helps you engage before competitors.

Traditional lead gen ignores the highest-intent channel

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.

  • Paid ads target demographics, not intent — most clicks don't convert
  • Cold outreach interrupts people who aren't ready to buy
  • Social platforms have the highest-intent conversations but no systematic way to find them
  • Competitors who respond first to recommendation threads win the deal

Intent-based lead generation from social platforms

SignalSurf finds people who are actively seeking solutions in your category. Instead of interrupting strangers, you're responding to people who asked for help.

1

Define your buying signals

Configure keyword groups around purchase-intent phrases: 'looking for a tool,' 'recommendations for,' 'switching from,' 'budget for.'

2

AI scores and prioritizes

Every match gets an intent score. Focus on the conversations most likely to convert instead of spreading thin across hundreds of mentions.

3

Engage and track

Respond with helpful, contextual replies. Track clicks, signups, and conversions with built-in UTM attribution to measure exact ROI.

Key Features

Purchase intent detection

AI identifies the difference between casual mentions and active buying signals.

Lead scoring

Conversations are scored by conversion likelihood based on language patterns and context.

CRM integration

Store qualified leads in databases with conversation context attached.

ROI tracking

Measure cost-per-lead from social listening vs. paid channels with built-in attribution.

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