Use Case

Catch leaving customers before they post on Reddit

Same scoring engine as buying-intent — pointed at retention. Surfaces churn-risk signals from public channels you monitor AND any private channel your agent reads (Slack, Gmail, support tickets).

Acquiring a new customer costs 5–25× more than retaining an existing one — every founder knows the stat. The harder problem is that by the time you SEE churn (usage drops, the renewal call goes south, the cancellation email lands), the customer made the decision weeks earlier. The decision happened in a conversation — a Slack thread, a support email, a public post on Reddit asking for alternatives. Detection has to move upstream of the metric.

Most churn-detection tools (ChurnZero, Vitally, Catalyst) score usage data — login frequency, feature adoption, ticket volume. That's a lagging indicator. By the time usage drops, the decision was already made. Conversation data — what customers are saying about you, in public and in private — is the leading indicator. But conversations don't fit neatly into a dashboard, which is why most tools ignore them.

SignalPipe's scoring engine doesn't care whether you point it at buying signals or churn signals. Same 3-stage filter (keyword gate → multilingual semantic scoring → sarcasm detection), same 3-judge swarm, same RL learning loop. Swap the anchor sentences from "I need a tool that..." to "I'm looking for an alternative to [your product]" and you've got an early-warning radar for churn. Configure a product profile in 10 minutes.

Two surfaces, one engine. The scout watches Reddit, Hacker News, and any RSS feed for public churn signals — your customers asking for alternatives in r/SaaS, frustrated comments under your launch on HN, complaints in industry forums. For private channels, signalpipe_score_signal accepts arbitrary text your AI agent reads — a Slack message from a customer saying the tool isn't working, an email asking about contract terms, a support ticket with frustrated tone. We don't connect to your channels; your agent does. We just score what it shows us.

Sample churn-risk anchor sentences (paste these when you create your product profile): "I'm looking for an alternative to [your product]". "Anyone else frustrated with [your product] pricing?". "Cancelling our [your product] subscription". "Thinking about switching from [your product] to something cheaper". "[Your product] is missing X feature we actually need". "Has anyone moved off [your product] recently?". The bracketed token is where you put your own product name.

How it works in practice

1

Create a churn-detection product profile

Same flow as a sales product, but anchor sentences describe churn risk from your customers' perspective, not buying intent from prospects. Add your own product name as a competitor_keyword so the system flags every mention of it for review.

2

Paste the churn anchor pack

Start with the sample anchors above and customise to your product. The minimum is 5; more is better. The RL loop sharpens against your specific definition of churn risk as you approve and reject the first batch.

3

Configure public sources

Add subreddits where your customers and ex-customers hang out (r/SaaS, r/Entrepreneur, industry-specific subs), HN keyword feeds for your product name + "alternative", and any RSS feed for review sites or industry blogs that publish "best X tools" articles.

4

Point your agent at private channels

For Slack, Gmail, Discord, support tickets, and other channels your AI agent can read: call signalpipe_score_signal(text, product_id, source_hint) from Claude Code, Cursor, or Windsurf. We score the text; your agent does the I/O. We never connect to your channels.

5

Route scored signals to customer success

High-score churn alerts go to your CS team in your operator queue. The Re-engager persona is already built into the temperature model — when a known prospect drops back into the cold zone, the system selects the right tone for the follow-up automatically.

Key feature

Reddit Lead Generation

Every subreddit is a market. SignalPipe monitors yours 24/7 and surfaces buyers the moment they post.

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