Margo

Discover every local business - down to the niche. Built for Humans and Agents.

Try for Free 👇

[Margo @margoleads]

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.
👉 https://t.co/Boj6G4GGDd

[Margo @margoleads]

We needed customers for our own lead gen tool. So we used it on ourselves.

Typed "co-founders at B2B SaaS startups" → got 47 contacts with emails → sent 40 cold emails → 2 paying customers. One afternoon.

Here's the exact workflow:

https://t.co/TVuNYqXtAd

[Margo @margoleads]

@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. That’s our sweet spot!

[Margo @margoleads]

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

[Margo @margoleads]

Cold email subject lines that work for local business outreach:

✅ "[BusinessName] — quick question about your reviews"
✅ "Noticed [BusinessName] isn't showing up for [keyword]"
✅ "Idea for [BusinessName]'s website"

Specific, low-pressure, about them.

#SalesProspecting

[Margo @margoleads]

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

[Margo @margoleads]

Freelance web designer workflow with Margo:

Monday: Generate 100 restaurant leads
Tuesday: Send 100 personalised cold emails
Wednesday: Follow up with non-openers
Thursday–Friday: Take discovery calls

The bottleneck is no longer finding businesses.

#SalesProspecting

[Margo @margoleads]

"The data might be outdated."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

[Margo @margoleads]

Niche spotlight this week: law firms.

Why they're interesting:
- High LTV clients ($10k–$100k)
- Terrible at online marketing
- Solo practitioners underserved
- Easy to personalise outreach

Margo: category=lawyer, any city.

#LeadGeneration #LocalBusiness #SalesProspecting

[Margo @margoleads]

@coreyganim Solid breakdown 🙌 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 👀

[Margo @margoleads]

Before you send a cold email to a local business, check:

1. ✅Does the email verify?
2. ✅How many reviews? (more = established)
3. ✅Review score? (low = problem to solve)
4. ✅Have a website?

All 4 are in Margo's lead data.

#LeadGeneration #LocalBusiness #SalesProspecting

[Margo @margoleads]

@levikmunneke TLDR; use Margo. 💅

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. 🥂

[Margo @margoleads]

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

[Margo @margoleads]

Why cold email to local businesses works better than to SaaS:

1. Less competition — nobody else is emailing them
2. Decision-maker = owner. No gatekeepers.
3. Personal emails are findable
4. They do business locally — personalised email stands out

Pretty powerful.

[Margo @margoleads]

Cold email open rates by subject line:

❌ "I can help your business" → ~18%
❌ "Quick question" → ~22%
✅ "[BusinessName], question about your reviews" → ~38%
✅ "Noticed you're not ranking for [keyword]" → ~41%

Specific = better.

[Margo @margoleads]

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 — which businesses are underserved, why, and what to say.

first one: dentists. friday.

[Margo @margoleads]

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. 🐾

[Margo @margoleads]

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

[Margo @margoleads]

Apollo vs Margo - when to use each:

Apollo:
✅ Finding VP Sales at a SaaS company
❌ Finding a dentist in Denver

Margo:
✅ Finding every dentist in Denver
❌ Finding VPs at SaaS companies

Different tools. Different jobs.

[Margo @margoleads]

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.

[Margo @margoleads]

Here's what a Margo search looks like:

→ Business type: Gym
→ Keyword: Crossfit
→ Country: UK
→ 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