Prospect Research Buying Signals
Prospect research buyers describe manual workflows — hours spent on LinkedIn, Reddit, Google — and ask for tools that automate or streamline the process.
What are Prospect Research buying signals?
Prospect research buying signals are common in r/sales and HN where reps or founders describe the manual work of qualifying and researching leads before outreach. Time-cost framing ("I spend X hours on this") signals highest purchase intent.
Where do Prospect Research buyers post?
SignalPipe monitors these platforms every 10 minutes and scores each post for genuine Prospect Research buying intent.
Example Prospect Research buying signal posts
"I spend 3 hours before every outbound call just researching the prospect — is this normal?"
Why it's a signal: Research bottleneck. Time-cost buyer.
"What tools automate prospect research so reps can focus on selling?"
Why it's a signal: Automation buyer. Sales productivity focus.
"How do you gather buying context on a prospect before reaching out?"
Why it's a signal: Context-gathering need. Research tool buyer.
"We want to know what our prospects are saying in communities before we call them"
Why it's a signal: Community research need. Direct SignalPipe fit.
Anchor sentences for detecting Prospect Research buying intent
These are buyer phrases written from the buyer's perspective. SignalPipe scores posts against these using embedding similarity. Add them when calling signalpipe_add_product.
"need tool that automates prospect research using community activity""looking for way to see what prospects post before reaching out""want prospect research that includes Reddit and HN community context""need to reduce time spent on manual prospect research before outreach"How does SignalPipe detect Prospect Research buying signals?
1. Keyword gate
Filters obvious noise — spam, off-topic posts, and low-quality content — before any expensive processing.
2. Embedding similarity
Compares every post against your Prospect Research anchor sentences using vector similarity. Catches semantic matches keyword matching would miss.
3. Sarcasm filter
Detects posts that superficially match but are complaints, jokes, or negative mentions — removes false positives before the LLM stage.
4. LLM swarm
Three judges — Skeptic, Analyst, Optimist — vote on the signal. The Skeptic has a hard veto. Only posts that pass all three reach your queue.
About 85% of posts are filtered before you see anything. What reaches your queue is the 15% with genuine Prospect Research buying intent. Full pipeline explained here →
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Anchor sentences, stations, all 11 tools
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