Lead discovery across ten markets90-day model · Evidence recorded 23 August 2026

61,043 buying-signal conversations.

Revenue Scout is your Agentic Coworker for social media lead discovery. See the needs people discuss across seven platforms and the searching you can hand over. Explore ten markets through 90-day campaign models built from recorded activity.

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A clear need. A relevant offer. A reason to respond.

7platforms
Reddit
LinkedIn
X
Facebook
Instagram
TikTok
YouTube
90-day modelBuying-signal conversations61,043found across ten markets
90-day modelStrong-match leads487vetted for the customer queue
90-day modelEstimated hours saved3,150across ten market studies
90-day modelPublic conversations82,471across ten campaign models
90-day campaign use cases

Find the study that looks like your market.

From software searches to local service requests, each study follows twelve customer needs across seven platforms. See how conversations become Strong-match leads and where the manual work adds up.

90-day campaign model. Based on activity recorded on 23 August 2026, with shared assumptions where a study has limited observations. These totals are modeled, including the Strong-match counts. They are not completed 90-day observations or guaranteed results.

How this model is calculated

The scenario assumes one daily check on each of seven platforms for 90 days, totaling 630 checks. Conversation volume uses the study's recorded pace, or the cohort's platform average when a study has no observation for that platform. Assessment and buying-signal rates use pooled information from the ten studies. Strong-match totals assume 0.8% of modeled buying-signal conversations, with rounding and a minimum of one. That is a modeling assumption, not a measured customer conversion rate. Estimated time saved uses 30 minutes of manual searching and sorting per check, or 315 hours for this scenario. Actual results and time saved vary.

Study 01 · 90-day model

Hosted ecommerce platforms

Find store owners planning a launch, comparing platforms, or working through a move.

Public conversations6,267
Assessed5,799
Buying signals5,423
Strong matches43
7 platforms12 customer needs315 hrs estimated
Study 02 · 90-day model

Small-business CRM and sales software

Find teams asking how to fix missed follow-ups, poor CRM adoption, and difficult migrations.

Public conversations8,131
Assessed5,573
Buying signals4,834
Strong matches39
7 platforms12 customer needs315 hrs estimated
Study 03 · 90-day model

Creator design software

Production speed, brand consistency, and premium asset needs drive detailed tool comparisons.

Public conversations10,148
Assessed7,874
Buying signals6,787
Strong matches54
7 platforms12 customer needs315 hrs estimated
Study 04 · 90-day model

Website builders

First sites, redesigns, and difficult migrations reveal website projects before a formal brief exists.

Public conversations7,838
Assessed7,120
Buying signals5,768
Strong matches46
7 platforms12 customer needs315 hrs estimated
Study 05 · 90-day model

Restaurant POS and operations software

Busy service, connected operations, and replacement pressure expose urgent restaurant-system decisions.

Public conversations8,155
Assessed7,257
Buying signals6,535
Strong matches52
7 platforms12 customer needs315 hrs estimated
Study 06 · 90-day model

Work-management software

Visibility gaps, coordination overhead, and tool sprawl turn workflow frustration into a software search.

Public conversations9,870
Assessed8,203
Buying signals6,537
Strong matches52
7 platforms12 customer needs315 hrs estimated
Study 07 · 90-day model

Small-business accounting software

Setup questions, invoicing pain, and unreliable records reveal owners choosing or replacing accounting software.

Public conversations7,877
Assessed7,152
Buying signals5,593
Strong matches45
7 platforms12 customer needs315 hrs estimated
Study 08 · 90-day model

Premium noise-cancelling headphones

Travel, comfort, battery life, and noise control produce unusually detailed premium-headphone shortlists.

Public conversations8,198
Assessed7,672
Buying signals7,042
Strong matches56
7 platforms12 customer needs315 hrs estimated
Study 09 · 90-day model

Residential plumbing services

Leaks, blockages, damaged fixtures, and local recommendations reveal immediate household demand.

Public conversations7,791
Assessed6,089
Buying signals5,515
Strong matches44
7 platforms12 customer needs315 hrs estimated
Study 10 · 90-day model

Small-group travel and tour operators

Destinations, dates, group style, and operator trust reveal travelers building a real tour shortlist.

Public conversations8,196
Assessed7,603
Buying signals7,009
Strong matches56
7 platforms12 customer needs315 hrs estimated
Discover leads and save time

Seven separate routines become one queue.

Revenue Scout checks the platforms you choose, vets the conversations, and brings useful leads together. Choose a lead and create a relevant reply instead of starting from a blank page.

Manual work
  1. Search every platform separately
  2. Sort useful need from background noise
  3. Prepare each response from scratch
With Revenue Scout
  1. One vetted lead queue
  2. Evidence and match reason together
  3. Replies you can create and edit
Your Agentic Coworker at work

Hand Scout the search. Bring your judgment.

Revenue Scout finds and vets social media leads. You get the original post and why it fits, with a reply draft when you ask for one.

You → Scout
Example assignment

Find people asking for recommendations, comparing options or describing a problem our offer solves. Bring back the original conversation and explain why it fits.

DiscoverVetLearn
See how Scout finds leads
01

Inspect the work

Open the original post and read the stated need alongside Scout’s match reason. Decide whether the person and situation fit your offer.

02

Make the next reply useful

Ask for a reply draft for a lead you choose. Edit it to make the answer useful, then post manually from your own account.

03

Improve the next search

Scout learns from recorded search results and your initial reply requests, using that evidence to explore related search phrases.

Recorded results and your initial reply requests guide related phrase exploration. Every enabled saved phrase stays in the search. Proven alternatives can replace automatically generated phrases.

Questions answered

Your questions about the studies.

What do these Revenue Scout use-case studies show?

See where people discuss a need, how Revenue Scout narrows those conversations to Strong-match leads, and the manual searching it can replace. Ten markets are covered in 90-day campaign models.

Is the campaign data real?

90-day campaign model. Based on activity recorded on 23 August 2026, with shared assumptions where a study has limited observations. These totals are modeled, including the Strong-match counts. They are not completed 90-day observations or guaranteed results.

Are people or source posts identified?

The studies show aggregate counts and general buying situations. Names, handles, source text, links, brands, and identifying details stay private.

Does every study include all seven platforms?

Yes. Every model includes one daily check for 90 days on Reddit, LinkedIn, X, Facebook, Instagram, TikTok, and YouTube. The platform breakdown shows where each market produces the most buying signals.

Does every Revenue Scout plan include seven platforms?

Free and paid plans include all seven supported platforms. Start with 2,000 free credits worth $30, every feature and no credit card required. These studies model seven-platform coverage. Compare the full inclusions on the pricing page.

What is a lead?

A lead is a potential customer identified through a vetted public conversation labeled Strong match. You use your own sales process to qualify that person and turn the conversation into a customer relationship.

How is estimated time saved presented?

Each 90-day model includes 630 platform checks. The estimate calculates the manual searching and sorting those checks could replace. It is an activity-based estimate; actual time saved varies.

Does Revenue Scout guarantee leads or sales?

Revenue Scout handles repetitive searching, vets conversations, and helps you prepare relevant replies. Leads, responses, sales, revenue, and returns are not guaranteed.

Does Revenue Scout post automatically?

You choose the leads you want to respond to, create and edit a reply, then post from your own account. Revenue Scout does not post automatically.

Will the study data be updated?

These are dated campaign models. The displayed evidence date identifies the recorded activity used in the calculations. Later anonymized results can replace the models when new activity is recorded and reviewed.

Start with your real offer

Put Revenue Scout to work in your market.

Tell Scout what you sell. Choose from all seven platforms and put your coworker to work.

Get 2,000 free credits worth $30.Every feature and all seven platforms. No credit card required.
Start free