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Wayke
marketing
Wayke finds high-intent conversations on LinkedIn, Reddit and X that match your business, then scores them and drafts replies in your voice so you can join threads that actually lead to revenue.
If you are a founder sorting through noisy social posts, this guide shows how to use high intent social listening software to find buying signals, score conversations, and focus on opportunities most likely to produce revenue. You will build a simple intent model, compare conversations by evidence, and choose which threads deserve a reply.
Prepare an intent-based listening system
Before choosing a tool, define what a qualified conversation looks like for your business. A social listening tool for founders should understand more than keywords. Prepare: The deciding factor among marketing products is whether they support this exact workflow.
- Your offer and the problem it solves
- Your ideal buyer and relevant job titles
- Competitors, alternatives, and common objections
- Words that signal urgency, evaluation, or budget
- Your preferred tone and examples of useful replies
Separate discovery terms from buying signals. “Analytics dashboard” may describe a broad topic. “What analytics tool should I use for a small SaaS?” suggests active evaluation.
This distinction is central to conversation intelligence products, which help interpret context rather than simply count mentions.
Score each conversation by buying intent
Use a consistent score so your team can rank social media conversations by buying intent instead of chasing volume. Start with a 10-point model:
- Problem clarity, 0 to 2: Is the person describing a problem your product solves?
- Urgency, 0 to 2: Are they asking for help now, mentioning a deadline, or reporting a current blocker?
- Evaluation behavior, 0 to 2: Are they comparing tools, requesting recommendations, or asking about implementation?
- Audience fit, 0 to 2: Do their role, company, or use case match your buyer profile?
- Conversation access, 0 to 2: Can you add a specific, helpful answer without forcing a pitch?
For example, “Which tool can help our three-person team monitor high-intent posts this month?” may score 9 or 10. “Interesting post about social media” may score 1.
A buyer intent scoring software workflow can make this repeatable. Record the score, evidence, platform, and next action. The highest scores should receive attention first, not necessarily the posts with the most likes.
Prioritize opportunities across LinkedIn, Reddit, and X
Compare conversations using the same criteria, then adjust for context:
- LinkedIn: Prioritize decision-maker questions, operating problems, and vendor comparisons.
- Reddit: Look for detailed pain, tool-switching discussions, and requests for practical recommendations.
- X: Watch for timely questions, public frustration, and people asking who can solve a specific issue.
This is how to prioritize social media leads by intent while preserving platform context. A short post with a clear problem can be more valuable than a popular discussion with no buying signal.
Tools that combine social-tools products with intent scoring can reduce manual sorting. Wayke reads logged-in feeds on LinkedIn, Reddit, and X, uses your website to understand what you sell and who buys it, then ranks conversations by ROI potential, relevance, timing, and audience fit. It also drafts a reply in your voice, which leaves you to review the advice and post from your own account.
For a manual check, ask:
- Is the person actively seeking a solution?
- Can I answer without making unsupported claims?
- Would my response help others reading the thread?
- Is the timing appropriate?
Avoid common scoring mistakes
Do not treat keyword volume as intent. A competitor’s name, a broad category term, or a viral complaint may produce many alerts but few qualified leads.
Avoid these errors:
- Scoring a post highly because it has many engagements
- Treating every question as a sales opportunity
- Replying with a product pitch before answering the problem
- Ignoring audience fit and implementation context
- Letting stale conversations outrank recent requests
If a result seems wrong, review the evidence and adjust your profile, not just the keyword list. Buyer intent scoring products can help formalize that review.
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