Every sales team knows the pain of a bad list.
You upload what looks like solid data. The names are right, the titles are close, and the phone fields are filled. Then you start dialing — and reality hits.
Half the calls never connect.
A few go straight to reception.
The rest reach people who left the company months ago.
That’s the true cost of poor phone data.
It doesn’t just waste time. It kills momentum, morale, and your outbound ROI before you even start.
Cleanlist was built from the ground up to fix that problem — not by adding more data, but by making data that actually connects.
There’s a simple reason most enrichment platforms stall at 50 to 60 percent phone coverage: they’re built for volume, not verification.
They focus on filling fields fast, not ensuring those fields lead to real conversations.
Most rely on static databases that refresh quarterly or yearly. By the time you export a list, it’s already outdated.
The modern B2B landscape moves too fast for that.
People change roles, companies restructure, departments rebrand, and remote work complicates everything. Static enrichment systems can’t keep up.
Even when a tool claims “verified” numbers, that usually means the data looks valid — not that it’s been actively confirmed or connected in real time.
It’s why most users of legacy platforms quietly accept that half their numbers won’t work. They think that’s just how it is.
Cleanlist disagreed.
Cleanlist’s 85 percent phone accuracy comes from a system we built called Waterfall Enrichment.
Instead of relying on one or two sources, Cleanlist pulls from a hierarchy of verified providers. Each layer checks and validates the data before moving to the next, filtering out dead numbers and false positives at every step.
The process looks like this:
Every record starts with domain and company matching. Cleanlist ensures the contact’s organization, website, and title align before any enrichment begins. This step is often skipped by other tools, leading to mismatched data later.
We then query verified business directories and enterprise contact databases to capture official work lines and direct extensions tied to each employee. If the number doesn’t map to a valid business domain, it’s eliminated.
If the corporate data doesn’t yield a verified match, Cleanlist taps into intent-based sources like event registrations, professional listings, and industry panels. These datasets surface numbers from active business activities — the kind of real-world signals that indicate a person is reachable.
Next, Cleanlist’s system looks at publicly available digital traces: professional profiles, press releases, company blogs, and verified personal websites. This often uncovers mobile numbers used for direct business communication that never appear in standard databases.
Every phone number that passes the earlier stages is validated through live ping testing and carrier-level verification. Numbers that fail any part of this step are automatically discarded. No “best guesses.” No unverified assumptions.
Finally, each number is scored for confidence based on source reliability, recency, and match depth. The output only includes numbers that meet Cleanlist’s threshold for verification — typically confirmed within the last 30 days.
The outcome is a list that’s not just full, but functional.
When a sales rep picks up the phone, they’re calling someone who will actually answer.
If your outbound team makes 500 calls per week, a 35 percent accuracy difference means 175 extra real conversations.
That’s not a small improvement — that’s an entirely new pipeline.
Those additional connections translate into:
When sales and marketing alignment depends on data quality, accuracy becomes a competitive weapon.
Most companies have invested heavily in email accuracy.
They use tools that verify syntax, domain reputation, and active inboxes.
But the phone is where deals actually move forward.
You can’t qualify tone, urgency, or buying intent over email. Those insights only happen through live conversation.
A verified phone number means instant access to context — the kind that shortens your sales cycle and builds real trust.
Ignoring phone enrichment is like building a funnel with half the pipes missing.
Cleanlist doesn’t just pull from a list of providers and stitch them together.
We continuously test, rank, and refine each source based on real-world outcomes.
If a provider’s accuracy drops, they’re automatically deprioritized in the waterfall sequence.
If new data channels outperform legacy ones, they rise in the chain.
This feedback loop means our 85 percent number isn’t static. It’s constantly improving.
That’s also why Cleanlist’s users consistently report higher connect rates than when using competitors like ZoomInfo, Apollo, or Cognism — even with the same outbound scripts and the same reps.
Accuracy compounds.
When your calls connect, your CRM fills with verified engagement data. When your CRM improves, every next campaign starts stronger.
That’s how precision turns into scale.
The next era of outbound isn’t about having the biggest dataset. It’s about having the cleanest one.
A smaller, more accurate list will always outperform a larger, messy one.
Because in sales, the power isn’t in the quantity of data — it’s in the quality of connection.
When your SDRs trust their lists, they work faster, sound more confident, and convert better.
When your marketing team sends follow-ups to verified contacts, your domain reputation stays strong.
Accuracy creates trust inside your company and with your prospects.
That’s what makes 85 percent more than just a number.
It’s a competitive advantage that compounds with every call.
When your competitors are still guessing, you’re connecting.