Its your list

And most lists fail for one simple reason:

They were built with outdated filters, platforms or assumptions

Lets break it down and show how AI first list building (powered by Scrapeamax) flips the script

Where Traditional Lists Go Wrong

1. Saturated Data

Everyone is pulling from the same sources Apollo, ZoomInfo, SalesNav, By the time your email lands, the leads already seen 10 others

2. People First, Not Company First

Most platforms filter by people first job title, role, seniority, But thats backwards

What if the company is not even a fit?

3. Stale or Irrelevant Data

Data may be months old, The company may have pivoted, The person may have left, You are shooting blind

4. Lack of Trigger or Context

Theres no real time reason to reach out, You are missing intent, buying signals or contextual relevance

How AI List Building Fixes It

Instead of starting with people, we now start with context

You give AI a prompt, not a filter:

• "Show me B2B SaaS companies using Stripe + Calendly"

• "Find service businesses with 100+ Google reviews in Austin"

• "Pull ecommerce brands using Shopify + Klaviyo that launched in 2024"

From there, heres what happens inside Scrapeamax:

Step 1: Context Driven Scraping

Scrapeamax scans 10+ high signal databases like:

• BuiltWith

• Crunchbase

• Google Maps

• Clutch

• Store Leads

• Latka

• Agency Vista

• BBB, Yellow Pages, Trustpilot and more

Step 2: Clean + Structure the Data

No messy exports, No duplicates, Just clean company level data with:

• Website

• Industry

• Tech stack

• Location

• Review count

• Revenue/employees (if available)

Step 3: Find the Right People

Use Clay or Findymail to enrich with:

• Decision maker profiles

• LinkedIn URLs

• Verified emails (work + personal)

Step 4: Double Verify + Sequence

Run through MillionVerifier, ZeroBounce or Neverbounce, Then load into Smartlead or your favorite sequencer

What You Get Instead:

• Unique lists no one else has

• Hyper targeted outreach based on triggers or stack

• Higher reply rates because you are not guessing

This is cold email 2.0 and it starts with better data

Real Example:

We ran a prompt: “DTC brands using Recharge, Shopify and Klaviyo in the US” Scrapeamax pulled 639 companies from BuiltWith + Store Leads, Clay found founders/heads of growth with emails, Validated the list, 93% inbox rate, Booked 8 calls in 3 days

Want to Try It?

If your company does $250K+/year and you're not in crypto, adult or gambling

- Book a Call + Get Your First List Free

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

• No scraping yourself

• No per row pricing

• No old databases

Just a clean, custom built list powered by AI prompts

Cold email is not just about volume anymore

Its about precision

Start with the right list, The rest becomes easy