The result?

• 173 companies

• Outdated data

• 18% bounce rate

• And only 2 replies (both said “not interested”)

At that point, I was convinced:

The problem was not my offer, The problem was the list

So I rebuilt my process from scratch this time with AI + Scrapeamax

Let me show you exactly what I did (and how you can do it too):

Step 1: I stopped searching for people

Instead of looking for job titles, I started with company level logic

I asked:

"Who needs what I am offering right now?"

So I prompted:

“Find SaaS companies using HubSpot + Stripe + Calendly that raised Series A in the last 12 months”

Step 2: I scraped matching companies from niche sources

I took the logic and plugged it into Scrapeamax

They scraped:

• 215 companies from BuiltWith (tech stack)

• Funding info from Crunchbase

• Company data from Store Leads + GMB

The result? A clean list of high intent, matched companies

Delivered in under 6 hours

Step 3: I enriched with Clay

I pulled the company list into Clay, used filters to:

• Find the Head of Sales / CEO / Founder

• Add company size, industry, revenue

• Auto pull LinkedIn profile, location, etc

Then I used Findymail API to get verified work emails

Step 4: I validated and sequenced

Before sending, I ran all emails through MillionVerifier, 98.7% valid

Then uploaded to Smartlead and launched a 3 step email sequence

Within 48 hours:

• 17 replies

• 5 booked calls

• 1 deal closed ($3.2k/month retainer)

And it all started with one smart prompt

Heres What Changed Everything:

I stopped using databases like Apollo and started using Scrapeamaxs AI + scraping stack:

Prompt → Scrapeamax → Clay → Findymail → MillionVerifier → Smartlead

It cost less than $100 and less than 2 hours of my time

No bloat, No recycled lists, No fake enrichment

Want to Try the Same Flow?

We will scrape your first AI powered list for free

No card, No commitment,

Just book a call + get Slack access:

https://calendly.com/hashir-khurram/scrapeamax-unlimited-lead-lists

Let the data do the selling

Scrape smarter, Build faster, Close more