Reddit is the most candid large-scale public dataset about what people actually think. Pseudonymity strips out the professional performance that shapes LinkedIn, and the long-form format encourages people to explain their reasoning rather than post a slogan.
For B2B intent work, that combination is unusually valuable. Someone evaluating tools will write three paragraphs about what they need, what they have already rejected, and why — the kind of qualitative detail companies normally commission agencies to produce.
The catch is signal-to-noise. Most posts have nothing to do with buying intent, and a broad keyword search returns mostly irrelevant material. Everything below is about narrowing that down to the posts that matter.
Start from the job, not the product
The most common mistake is searching for your product category. Almost nobody in-market describes their problem using your category name — that vocabulary is something they acquire *after* they start evaluating vendors, which is to say after the useful window has closed.
Start instead from where your buyer already gathers by job function:
- r/sales and r/salesops for SDR and AE audiences
- r/entrepreneur and r/startups for founders
- r/marketing and r/digital_marketing for growth roles
- r/devops and r/sysadmin for technical buyers
Then go narrower. Small niche communities consistently carry better signal than large general ones, because the posts are more specific and the commenters are more expert. Rather than guessing at names, use Reddit Pro's discover mode with your topic terms — it routinely surfaces communities you would not have found manually, and reviewing its output before committing to a large collection prevents an expensive run against the wrong places.
Phrase patterns beat keywords
This is the single highest-leverage change most teams can make. Keywords find topics; phrase patterns find *moments*. The moment you want is when someone shifts from having a problem to shopping for a solution.
The patterns that reliably mark that shift:
- "looking for a tool that..."
- "what does your team use for..."
- "we're evaluating / comparing..."
- "anyone tried..."
- "frustrated with [competitor]..."
- "is there a better way to..."
- "still doing this manually"
Notice these are mostly unbranded. That is deliberate and it is the strategic point: unbranded searches find people *before* they have shortlisted vendors, which is both the earliest and the most winnable moment in the process. Branded searches — your name, a competitor's — find people who are already evaluating, by which point you are one of several tabs open.
Both are worth running. They serve different purposes and produce different lists. Unbranded queries feed pipeline; branded queries feed positioning and battlecards.
Collect the comments, not just the posts
Enabling comment collection roughly changes the character of the output. The post asks the question; the comments contain the answers, the competitor names, the specific objections, and the "we tried that and here's what happened" detail that is genuinely hard to obtain any other way.
For intent and competitive work, collect comments. For tracking which topics are being raised at all, posts alone are cheaper and sufficient.
The cost consideration is real: comments multiply the result count and therefore the spend. Start with a small run to gauge the post-to-comment ratio in your target communities before scaling up, because it varies enormously between subreddits.
Scoring, and what the threshold actually means
At a few hundred posts, reading everything stops being viable. AI Intent Detection scores each post 1–10 at two credits per post, looking for:
- Alternatives being actively compared (comparison intent)
- Budget or timeline language (urgency signals)
- Problem descriptions that map onto your value proposition
- Community response — a heavily upvoted complaint is a shared complaint
The practical thresholds: **7 and above** is worth acting on this week. **4 to 6** goes on a watchlist and is worth revisiting if the same person posts again. Below 4 is noise for outreach purposes, though it can still be useful raw material for understanding how the market talks.
One honest caveat: sarcasm and joke posts defeat automated sentiment reading fairly regularly, and Reddit runs on both. Skim the scored shortlist before acting rather than trusting the number blindly. The scoring is there to make a large collection reviewable, not to remove the review.
The engagement playbook
Here is where most teams get it wrong, and the mistake is expensive.
**Do not reply with a pitch.** Reddit's community norms punish overt selling more than any other platform, and a badly judged promotional reply can get an account banned and a brand mentioned unkindly for a long time afterwards. The downside substantially exceeds the value of any single lead.
The pattern that works is to take the intent signal from Reddit and find the person elsewhere. Reddit is pseudonymous by design — you get a username and what they wrote, not a name, company, or email. So:
- 1.Identify high-intent posts through search, comments, and scoring.
- 2.Find the poster on another platform, typically LinkedIn, where identity and firmographics are attached.
- 3.Enrich with LinkedIn Profiles to confirm role and company fit.
- 4.Reach out referencing the specific problem they described.
That last step is the whole advantage. You are not sending a cold message — you are responding to something a person voluntarily wrote about a problem you solve, within days of them writing it. Reply rates for this approach substantially outperform any unprompted sequence, because the relevance is real rather than manufactured.
Speed is the variable that matters most
The window between someone describing a problem publicly and choosing a solution is often days. This is the one workflow where time-to-first-touch is worth tracking as a metric in its own right.
Practically, that means running collection on a schedule rather than as an occasional project. At three credits per result on Reddit Pro and one on Twitter, continuous monitoring is affordable enough that the constraint is analyst attention, not budget — which is why intent scoring matters. Reviewing a ranked shortlist weekly is a sustainable habit. Reading a raw feed is not, and teams that try it abandon the practice within a month.
What to measure
Not mention volume. The metric is **sourced opportunities** — pipeline that exists because of a conversation you found and would not exist otherwise.
The honest quality check is reply rate. Outreach that references a real post someone wrote should clearly beat your baseline cold sequence. If it does not, one of two things is true: the intent threshold is set too low and you are contacting people who were not really in-market, or the outreach is not genuinely referencing the post and has quietly reverted to a template with a name swapped in.
