Margo finds niche local businesses in any city.
Type any keyword. Pick a city. Get leads with verified emails, phones & socials.
20 free leads. No credit card.
๐ https://t.co/Boj6G4GGDd
We needed customers for our own lead gen tool. So we used it on ourselves.
Typed "co-founders at B2B SaaS startups" โ got 47 contacts with emails โ sent 40 cold emails โ 2 paying customers. One afternoon.
Here's the exact workflow:
https://t.co/TVuNYqXtAd
@RobHoffman_ Spot on. We built Margo to kill the "volume vs. quality" trade-off. You need 100k scale to win, but ICP quality to stay sane. By cutting those junk replies (the 90% drop-off), we make that "ridiculous math" even better. Thatโs our sweet spot!
Margo + OpenClaw workflow:
1. Agent calls Margo API with category + city
2. Gets lead list as JSON
3. Filters for verified emails
4. Drafts personalised outreach
5. Passes to sending tool
Fully automated prospecting.
https://t.co/uK0PrJl85h
#openclaw#aiagents#LeadGeneration
Cold email subject lines that work for local business outreach:
โ "[BusinessName] โ quick question about your reviews"
โ "Noticed [BusinessName] isn't showing up for [keyword]"
โ "Idea for [BusinessName]'s website"
Specific, low-pressure, about them.
#SalesProspecting
Hunter finds emails for companies you already know.
Margo finds companies you didn't know existed.
Hunter: "Email for marketing manager at DentalCare Inc."
Margo: "Every dental practice in Austin, TX."
Different use cases.
#LeadGeneration#LocalBusiness#SalesProspecting
Freelance web designer workflow with Margo:
Monday: Generate 100 restaurant leads
Tuesday: Send 100 personalised cold emails
Wednesday: Follow up with non-openers
ThursdayโFriday: Take discovery calls
The bottleneck is no longer finding businesses.
#SalesProspecting
"The data might be outdated."
Fair concern.
Here's how Margo handles it:
- Re-scrape on demand, cache for 30 days
- Fresh data pulls from Google
- Emails verified at query time
Not perfect. But fresher than static databases.
#LeadGeneration#LocalBusiness#SalesProspecting
Niche spotlight this week: law firms.
Why they're interesting:
- High LTV clients ($10kโ$100k)
- Terrible at online marketing
- Solo practitioners underserved
- Easy to personalise outreach
Margo: category=lawyer, any city.
#LeadGeneration#LocalBusiness#SalesProspecting
@coreyganim Solid breakdown ๐ but imagine doing all this beautiful agentic work and still manually Googling businesses to find clients
If only there was a way our agents could easily pull all the info on local businesses ๐
Before you send a cold email to a local business, check:
1. โ Does the email verify?
2. โ How many reviews? (more = established)
3. โ Review score? (low = problem to solve)
4. โ Have a website?
All 4 are in Margo's lead data.
#LeadGeneration#LocalBusiness#SalesProspecting
@levikmunneke TLDR; use Margo. ๐
Killer blueprint, but Margo is much easier with our built-for-agents endpoint.
Why spend days building scrapers and a VPS when you can get clean JSON in one call? One POST request > a weekend of manual setup. ๐ฅ
If you're building an AI sales agent:
1. Agent calls GET /api/v1/skill
2. Calls POST /api/v1/leads/generate
3. Gets JSON: name, email, phone, review score, socials
4. Filters for verified emails
5. Passes to outreach tool
https://t.co/uK0PrJl85h
#openclaw#aiagents
Why cold email to local businesses works better than to SaaS:
1. Less competition โ nobody else is emailing them
2. Decision-maker = owner. No gatekeepers.
3. Personal emails are findable
4. They do business locally โ personalised email stands out
Pretty powerful.
Cold email open rates by subject line:
โ "I can help your business" โ ~18%
โ "Quick question" โ ~22%
โ "[BusinessName], question about your reviews" โ ~38%
โ "Noticed you're not ranking for [keyword]" โ ~41%
Specific = better.
something I didn't expect building Margo:
the hardest part isn't the product.
it's knowing which niche to target first. everyone asks.
starting a weekly niche spotlight โ which businesses are underserved, why, and what to say.
first one: dentists. friday.
Underrated local niche for agencies: veterinary clinics.
Why:
- Owners are vets, not marketers
- Average 3.8-star rating (room to improve)
- Medium-high revenue
- Low agency competition
Margo finds them in seconds. ๐พ
AI sales agents need data.
Most local business APIs are:
- Expensive ($thousands/month)
- Poorly structured
- Not agent-ready
Margo's API returns clean JSON with a skill manifest at /api/v1/skill.
Your agent auto-discovers capabilities.
#aiagents#openclaw
Apollo vs Margo - when to use each:
Apollo:
โ Finding VP Sales at a SaaS company
โ Finding a dentist in Denver
Margo:
โ Finding every dentist in Denver
โ Finding VPs at SaaS companies
Different tools. Different jobs.
Lead gen mistake we see constantly:
People generate leads, then spend 2 weeks crafting the "perfect" cold email.
Better approach:
Send a simple, direct email on Day 1.
Iterate based on replies.
Margo makes the list part fast. The sending part is up to you.
Here's what a Margo search looks like:
โ Business type: Gym
โ Keyword: Crossfit
โ Country: UK
โ City: Manchester
Each with name, email (verified), phone, address, review score, and social profiles.
Done in under 1 minute.
Free to try: https://t.co/Boj6G4GGDd