Sentiment Watcher Guide
This guide explains where Sentiment Watcher fits in your client-getting mix, how the AI sales scout monitors public social feeds and communities for live buying signals, how grading works (G1–G3), and how to use those signals to start more high-quality B2B conversations. For a concise summary and pricing, see the Sentiment Watcher overview and pricing.
Where Sentiment Watcher fits in your client-getting mix
Most B2B SMEs get clients from a mix of paid ads, content, outbound and referrals. This guide shows how Sentiment Watcher adds an AI-driven social listening layer on top of those channels by catching live buying signals in LinkedIn, Reddit, X and Facebook groups.
Most SMEs juggle a few channels — some paid, some content, some relationships — but none of them reliably catches live buying conversations.
How Sentiment Watcher works as a channel
At a technical level, Sentiment Watcher continuously monitors public posts, comments and threads across social feeds and communities, applies intent and sentiment models to each mention, and then delivers graded opportunities (G1–G3) straight to your inbox instead of a dashboard.
Channel / Sub-channel
Cost
Time
Buying intent
Volume potential
Depth
Targeting
Time to impact
Trust
Comp. noise
Stability / risk
Learning rate
Your first week with Sentiment Watcher
Short kickoff call, live signals in your inbox a few days later — no new hires, no dashboards.
This onboarding sequence shows how to go from first setup call to live AI-scouted conversations in your inbox within a few days.
Who does what
We handle
- 24/7 monitoring across the platforms and topics we agree on.
- Filtering and grading each thread by sentiment and buying stage.
- Maintaining and tuning source lists, keywords and negative keywords.
- Adjusting filters as your offers, niches or geos change.
- Turning noisy social listening into a focused stream of graded buying signals.
You do
- Reply as a human from your existing profiles — no new logins or dashboards.
- Block 15–20 minutes a day to skim alerts and jump into the best conversations.
- Drop promising threads into your CRM or pipeline so they don't get lost.
- Tell us which signals were especially good or off, so we can keep tightening the feed.
- Use your existing outbound, email and social workflows to turn those signals into booked conversations and revenue.
DAY 0
Day 0 – kickoff call
We pin down your services, ideal clients, regions, languages and what counts as a good conversation and buying signal for you.
DAYS 1–2
Days 1–2 – mapping groups, forums and feeds
We find the right LinkedIn groups, Reddit threads, X conversations, Facebook groups and niche forums, then set up and configure social listening filters and negative keywords for your market.
DAYS 3–5
Days 3–5 – signals start landing
You receive a mix of Grade 1–3 alerts. We tweak sources and filters based on what you actually open and reply to, fine-tuning the AI lead grading as we go.
DAY 5+
Day 5+ – settling into the rhythm
After at least 5 live conversations, you decide whether to keep the stream. If you stay on, we keep tuning the feed so signals feel like part of your normal sales rhythm, not a trial.
Who Sentiment Watcher is for
Sentiment Watcher is built for high-LTV, relationship-driven B2B services that win by showing up in the right conversations at the right time, not by blasting generic cold outreach.
How to get the most from Sentiment Watcher
Use these habits as a simple playbook for turning AI-found buying signals into warm conversations and booked work.
Simple habits that work
- Keep your main profile pages credible and up to date — prospects will click through.
- Reply to people, not "leads" — reference what they actually wrote.
- Treat Grade 2 and 3 signals as relationship starts, not immediate pitches.
- Tag or save good threads in your CRM so they stay in your follow-up.
- Save and tag good threads by grade (G1–G3) so you can build your own mini intent database over time.
Things you can stop doing
- Buying cold databases and then spending hours cleaning and tagging them.
- Setting up extra email infrastructure, warm domains and deliverability hacks just to reach strangers.
- Hiring an SDR just to trawl feeds, groups and forums for something worth replying to.
- Relying on generic “social listening tools” that surface noise instead of clear buying intent.
Roadmap
The Sentiment Watcher roadmap focuses on improving signal quality, expanding coverage across social platforms and communities, and adding light workflow tools on top of the AI sales scout.
Step 1
By 01/2025
Tighten signal quality
- Sharper grading – clear G1 / G2 / G3 labels so you instantly see how close to buying each signal is.
- Smarter filters – tuned keywords (and negative keywords) for your niche and languages during onboarding.
- Summary view – an optional weekly digest / lightweight dashboard so you can review results without “living in a tool”, with better intent and sentiment modelling for B2B buying signals.
Step 2
By 03/2025
Expand coverage where people talk
- New networks – LinkedIn, X/Twitter, Threads and other platforms, added based on current client demand.
- Niche communities – industry forums, professional groups, and specialist Slack/Discord-style spaces aligned to each market, plus more social platforms and niche communities where your buyers actually talk.
- Language depth – better handling of multi-language threads and mixed-language posts across regions.
Step 3
By 12/2026
Layer human + AI on top
- Light management app – mobile/web app to skim signals, mark outcomes, and coordinate with your social media presence in one place – light sales workflow tooling on top of the AI, not a heavy dashboard.
- AI-assisted openers – suggested first replies for pre-approved scenarios and lead types, always sent from your profiles and always under your control.
- Sales integration & playbooks – best-practice templates plus simple “push to CRM / pipeline” actions for promising threads.