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 min read

Why Cleanlist Has the Highest-Quality Emails and Phone Numbers in Outbound

Why Cleanlist Has the Highest-Quality Emails and Phone Numbers in Outbound

Outbound sales is often portrayed as a copywriting problem. Founders blame subject lines, SDR managers focus on sequence timing, and agencies obsess over templates. But in reality, most outbound campaigns don’t fail in the inbox — they fail before you ever hit send.

The culprit? Bad data.

The difference between a list with valid, verified contact information and a list riddled with stale records is the difference between a campaign that generates pipeline and one that silently destroys your domain reputation. And in 2025, relying on a single enrichment vendor is no longer enough.

Cleanlist has built the first waterfall enrichment engine that integrates the best global providers into one system, delivering unmatched coverage for both emails and phone numbers. Here’s why that matters — and why Cleanlist consistently delivers the highest-quality data in outbound.

Why Single-Vendor Enrichment Breaks Down

No matter how loudly they market themselves, no single vendor can keep up with the pace of global B2B data. According to ZoomInfo, over 30% of B2B contact data becomes outdated every year (ZoomInfo). People change jobs, companies pivot, and entire departments are reorganized overnight.

A vendor that relies on one static database is always fighting decay. If your enrichment process depends entirely on one provider, you’re going to see three problems over and over again:

  • Coverage gaps: Some providers excel in the US but have almost no reach in Europe or Asia. Others are strong in technology but weak in traditional industries like manufacturing.
  • Stale data: When refresh cycles happen quarterly or annually, you’re almost guaranteed to email contacts who left their job months ago.
  • One-shot lookups: If the provider can’t find the contact, the process stops there. There’s no safety net.

This is why enrichment campaigns so often stall at 50–60% email coverage and less than 20% direct dial coverage. The system was designed to fail half the time.

The Cleanlist Waterfall Enrichment Model

Cleanlist flips the model on its head. Instead of relying on a single vendor, we built an orchestration engine that queries more than ten of the world’s top data providers in sequence.

Here’s how it works:

  1. You upload your raw lead list, whether it’s scraped from LinkedIn, exported from Apollo, or pulled together in a CSV.
  2. Our system runs every contact through Provider A. If it finds a verified match, we lock it in.
  3. If not, we immediately check Provider B, then C, then D — continuing until every field is filled.
  4. Once we’ve aggregated results across the stack, we run real-time verification. Emails are validated with SMTP pinging and risk scoring, and phone numbers are tested for live connection.
  5. Finally, we return a clean, upload-ready list formatted for outbound platforms like Apollo.io, Outreach, or Instantly.

The end result isn’t a single vendor’s slice of the world — it’s a composite dataset built from the best of every source, stripped of duplicates, verified in real time, and ready to use.

Why This Produces Better Emails and Phones

The difference is easy to see.

With a single enrichment tool, you might upload 1,000 contacts and get 550 usable emails and 120 phone numbers back. By contrast, Cleanlist routinely delivers 875 verified emails and 450 working direct dials on the same input. That’s not incremental. That’s 2–3x more pipeline from the exact same list.

And because everything is validated, bounce rates consistently stay under 1%. For comparison, industry-standard bounce rates with single-vendor enrichment often run closer to 5–10%, which is more than enough to trigger deliverability issues in Gmail and Outlook (Mailchimp).

But the real secret isn’t just email coverage. It’s direct dials. Most providers treat phone enrichment as an afterthought. Cleanlist treats it as a first-class priority, ensuring SDRs don’t waste their day cold calling switchboards. More direct lines mean more real conversations with decision-makers.

Removing Vendor Bias

Every provider has blind spots. Some are US-heavy, others EU-heavy. Some specialize in SaaS, others in industrials. Some lean on email, others on phones.

When you bet your campaign on one vendor, you inherit all their biases. That’s why enrichment results vary so wildly across industries and geographies.

By layering multiple providers together and ranking them intelligently, Cleanlist neutralizes those biases. The result is a balanced, de-biased dataset that maximizes match rates across every region, industry, and contact channel.

The Cost of Bad Data

It’s easy to think of enrichment as a small detail in the outbound process, but bad data has ripple effects across the entire go-to-market motion:

  • Deliverability risk: Every bounce is a strike against your domain. High bounce rates can get you flagged or blacklisted.
  • Lost productivity: If 30% of your list is bad, your SDRs are wasting 30% of their day.
  • Skewed metrics: A 5% reply rate looks fine until you realize half your emails never reached a valid inbox.
  • Pipeline decay: Dirty lists don’t just waste time. They reduce the number of meetings, opportunities, and deals downstream.

When you add up these costs, it’s obvious that “cheap” lists are actually the most expensive option of all.

Cleanlist: Building the Future of Outbound Data

Outbound isn’t failing because of lazy SDRs or bad email copy. It’s failing because teams are still working with 2015-era enrichment tools that max out at 50% coverage.

Cleanlist was designed to fix that. By orchestrating every major provider in a waterfall system, validating everything in real time, and enriching not just emails but phones, we deliver the highest-quality outbound data in the market today.

And the difference is simple: more verified emails, more working direct dials, and more meetings booked.

If you want to stop burning SDR hours and start maximizing pipeline, it starts with better data.

👉 Book a Cleanlist demo today and see how much pipeline your list is leaving on the table.

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