How to find live conversations where people are actively evaluating software in your category

Last Tuesday I watched a sales rep close a $14,000 ACV deal from a Reddit thread that was 47 minutes old. The buyer had posted a messy, frustrated paragraph about their current vendor. The rep replied with a specific workaround, not a pitch. That is the entire game.

Finding live evaluation conversations is not a lead generation trick. It is a timing problem. You are looking for a narrow window where a human being has publicly admitted a problem, named a category, and started comparing options. Most teams are either too late or too broad. They buy intent data that says a company "researched" a topic, or they set up a social listening dashboard that surfaces every mention of a keyword, including press releases and job postings. Neither gets you into the conversation while it is still warm.

What a live evaluation thread actually looks like

Most public software evaluation is not hidden. It is just buried under noise. The signal you want has a specific shape. I look for three things in a thread before I consider it a live evaluation.

First, the person names a current tool or a specific pain point. Not "looking for CRM recommendations" but "we are moving off HubSpot because the reporting is slow and our reps hate it." The specificity is the signal. Vague questions are usually tire kickers or students doing research.

Second, there is a time constraint or a trigger event. "Our contract is up in 30 days." "We just got budget approved." "We are onboarding three new reps next month." A trigger event means the evaluation has a deadline. Deadlines create pipeline.

Third, the person is comparing at least two named alternatives. "We are down to Salesforce and Pipedrive." "Has anyone switched from Intercom to Zendesk recently?" This is the moment where a well-timed, specific answer can shape the outcome. The buyer is not just browsing. They are deciding.

A thread with all three signals is rare. Maybe one in forty relevant mentions. But that one thread is worth more than a hundred whitepaper downloads. The person is in motion. They have a problem, a timeline, and a shortlist. Your job is to be useful before the shortlist hardens.

Why keyword alerts and intent data keep missing the moment

Most GTM teams start with keyword alerts. They set up a tool to watch for "best [category] software" or "[competitor] alternative." Then they get a firehose of noise. Blog posts. Comparison pages. Someone asking a question three years ago. The alerts fire constantly and almost never surface a live buyer. I wrote about this in more detail in why your keyword alerts keep failing you. The core problem is that keywords describe topics, not intent. A person writing "best CRM" might be a student, a journalist, or a bot. A person writing "we are leaving HubSpot because our reps hate the reporting" is a buyer. Keyword tools cannot tell the difference.

Intent data vendors promise to solve this. They sell you a list of companies that are "showing intent" because someone from that company visited a pricing page or downloaded an ebook. The data is directionally useful. It tells you which accounts are in market. But it does not tell you who to talk to, what they care about, or what they said publicly. It is a list of logos, not a conversation. By the time the data reaches you, the buyer has often already spoken to two of your competitors.

Social listening platforms are the third option. They are powerful but built for brand monitoring, not sales. You can build complex queries, but you still end up with a stream of mentions that requires a human to triage. Most sales teams do not have a dedicated social listening analyst. They have AEs and SDRs who need qualified conversations, not dashboards. The setup cost is real. The ongoing triage cost is real. And the platform still does not tell you which mentions are worth a reply.

The gap is judgment. You need a system that can read a thread and say: this person is evaluating, this person is complaining, this person is just sharing a blog post. That judgment is what turns a firehose into a queue.

A practical method for finding and prioritizing live evaluations

Here is the method I use. It works whether you are using a tool or doing it manually with a few saved searches.

Start with the language of evaluation, not the language of your product. Buyers rarely say "I am evaluating software." They say things like:

• "we are thinking about switching from"
• "has anyone moved from X to Y"
• "our contract is up and we are looking at"
• "what do you all use for"
• "X is getting too expensive, alternatives?"

These phrases are the raw material. They appear on Reddit, X, LinkedIn, and in niche Slack communities. The best threads are often on Reddit, where anonymity lets people be honest about their current vendor. I broke down the structure of these threads in the anatomy of a "what do you all use for..." thread. The pattern is consistent: a specific problem, a named incumbent, and a request for alternatives.

Once you find a candidate thread, score it. I use a simple three-point system. One point for a named pain point. One point for a trigger event or deadline. One point for a named competitor or shortlist. A thread with three points is a hot lead. Two points is worth a reply if you can be genuinely useful. One point is usually noise.

This scoring matters because it forces you to prioritize. You cannot reply to every mention. You should not. The goal is to find the ten threads a week where your answer can actually change the outcome. That is a pipeline source, not a content marketing exercise.

The reply itself is where most teams fail. The instinct is to pitch. "We solve that exact problem, here is a link." That is how you become the spam guy. The better move is to answer the question first. Share a specific insight about the tradeoff between the two tools they named. Mention a limitation of your own product if it is relevant. Then, if it fits, say what you do in one sentence. I wrote about this in how to find customers on Reddit without becoming the spam guy. The rule is simple: be useful first, sell second. The thread is public. Other buyers will read it. Your reply is a permanent artifact.

How to prioritize these signals against traditional lead scoring

Traditional lead scoring is based on what a company does on your website. They visited the pricing page. They downloaded a case study. They opened your email. These are weak signals. A pricing page visit might be a competitor doing research. A case study download might be a student. Traditional scoring tells you that an account is aware of you. It does not tell you that a specific person is in pain right now.

Public evaluation threads are the opposite. They are strong signals from a specific person, but they are not tied to an account. You do not know the company size, the budget, or the buying committee. This is the tradeoff. Traditional scoring gives you account context but weak intent. Public threads give you strong intent but weak account context.

The way to use both is to treat public threads as the top of a new funnel. When you find a live evaluation, you have a name, a problem, and a timeline. That is enough to start a conversation. You can then enrich the account with your existing data. Look up the company. Check your CRM. See if they are already in your pipeline. The public thread is the trigger. Your existing systems provide the context.

This is not a replacement for your current lead scoring. It is a new input. One that catches buyers before they fill out a form, before they book a demo, before they show up in your intent data. The buyers who post publicly are often the ones who hate cold email. They are asking their peers for advice. If you can be a peer who helps, you earn the right to be in the conversation.

The measurement is different too. You are not measuring form fills or MQLs. You are measuring replies, conversations started, and deals influenced. A single Reddit thread can be read by hundreds of buyers over the next year. The reply you write today is still working for you in six months. That is the compounding effect of public conversation. It is also why dark social is eating your attribution, and that's fine. The buyer who found you through a Reddit thread will not show up in your attribution reports. They will show up in your pipeline.

The teams that win here are the ones who stop treating social as a branding exercise and start treating it as a sales channel. They build a queue of live evaluations. They score each thread. They reply with specific, useful answers. They track which replies turn into conversations. And they do it every day, not as a one-off campaign.

This is the work I do every day. ThreadSonar exists because I got tired of manually refreshing Reddit searches and X queries to find these threads. The tool watches for the language of evaluation, scores each thread for buying intent, and delivers the qualified ones to a single inbox. It also tracks whether ChatGPT, Perplexity, and Gemini recommend you when buyers ask, which is a whole other distribution channel. But the method I described works with or without the tool. The hard part is not finding the threads. The hard part is having the judgment to know which ones matter, and the discipline to reply like a human instead of a marketer.