Lead scoring on Reddit

Lead scoring assigns a priority value to each thread or user based on observable Reddit signals, so the most promising opportunities rise to the top of your queue. The signals that matter most:

1. Intent — Does the post ask for a recommendation, comparison, or alternative? Explicit buying-intent language is the strongest signal.
2. Subreddit relevance — A thread in a niche community tied to your category outranks the same question in a general subreddit.
3. Engagement — Upvotes and active comment counts show the thread has reach and that an answer will be seen.
4. Recency — Fresh threads are still answerable; old ones rarely convert and may break necromancy norms.
5. Author context — Account age, karma, and whether the poster is a decision-maker versus a casual lurker.

A simple model weights these into a single score. For example, a recent, high-intent question in a perfectly relevant subreddit with growing comments scores high, while a months-old passing mention in an unrelated community scores low. You don't need machine learning to start — a transparent point system you can explain and tune is usually enough.

Reddit generates far more mentions and questions than any team can respond to well. Without scoring, marketers default to whatever appeared most recently in their feed, which wastes effort on low-value chatter and misses the threads that actually drive pipeline.

Scoring also protects authenticity. Because it surfaces only the threads where your input is genuinely relevant, it naturally steers you away from forcing your product into conversations where it doesn't belong — the kind of behavior that gets accounts shadowbanned or flagged as spam. The result is fewer, better, more welcome contributions.

Weight intent and relevance highest. A high-upvote thread with no buying signal is reach without conversion. Relevance and intent should dominate the score; engagement and recency are tie-breakers.

Decay scores over time. Apply a recency penalty so stale threads drop off automatically. A thread that was hot last month is rarely worth a cold reply now.

Review and recalibrate. Track which scored threads actually led to conversations or conversions, then adjust your weights. Treat scoring as a living model, not a fixed formula.