Intent Tagging
Intent tagging is the practice of classifying each Reddit match by the type of intent expressed — buying, asking, complaining, comparing, or generic mention — so users can prioritize replies and research.
Intent tagging is the practice of classifying each Reddit match by the type of intent expressed — buying, asking, complaining, comparing, or generic mention — so users can prioritize replies and research. It's the layer that turns a raw stream of keyword matches into something a busy founder or marketer can triage in five minutes.
A typical intent taxonomy has four to six categories: Buy intent (the poster is actively shopping, "anyone recommend a tool for X?"), Question (a how-to or troubleshooting query relevant to your product space), Comparison ("X vs Y" threads), Complaint (someone unhappy with a competitor — a churn signal), Mention (the brand or category is named but no clear action), and Discussion (general conversation about the category). Each tag implies a different reply playbook and a different priority.
RedNudge applies intent tags automatically using Claude to read the post content and assign the most likely category alongside a relevance score. The tags appear in the daily digest and on the matches dashboard, so users can filter the queue down to just Buy-intent matches when they have 10 minutes, or just Complaint matches when researching competitive churn.
The practical value comes from priority. Buy-intent matches are the highest-conversion replies — the OP is actively looking for what you sell — so they deserve a same-day response. Complaint matches about competitors are research gold but not always reply-worthy. Generic mentions rarely justify replies but are useful aggregate signal for share-of-voice tracking.
Intent tagging is imperfect; ambiguous posts ("I've been thinking about trying X") can read as Buy or Discussion depending on context. The best tooling exposes the tags transparently so users can override them, and uses dismissed-vs-acted patterns to refine future tagging over time.
Related terms
- AI Relevance Scoring — AI relevance scoring is the use of a language model (like Claude or GPT) to read each Reddit match and assign a numeric score indicating how well it fits the user's product or research target.
- Buyer Intent on Reddit — Buyer intent on Reddit refers to signal phrases in posts and comments that indicate the author is actively researching or shopping for a solution — e.g. "anyone recommend," "alternative to," "best tool for."
- Dismiss-to-Train — Dismiss-to-train is the pattern where a user dismissing an irrelevant match in a monitoring tool teaches the underlying scoring system to filter out similar matches in the future.
- Churn Language — Churn language refers to specific phrases used on Reddit that indicate a user is leaving or considering leaving a product — "switching from X," "moving off X," "cancelling X," "alternative to X."