Leads where the contactis actually the right person.
We combine several data sources directly in the system, cross-check them and verify role, company and reachability. Your target group lands in the platform as a clean lead list, ready for outreach.
Free to sign up. See your target group right away.
Lena Hoffmann
Nordwerk GmbH
Managing Director
VerifiedJonas Berg
Berg Anlagenbau
Sales Director
VerifiedMia Keller
Keller Industrietechnik
Head of Sales
VerifiedTim Roth
Roth Präzision
Owner
CheckingDuplicate merged
2 entries, 1 contact
wrong contacts in unchecked lists
Our own CEO check
channels per lead
Email, phone, LinkedIn
source reference per record
You see where data comes from
record per contact
Duplicates are merged automatically
Source: report "How raw data becomes a real lead" (PDF)See methodology
+350 B2B companies trust us on sales. Read our customer stories
Data foundation
Several sources. One clean list.
Several data sources are connected directly in the system. Beyond that, we can draw on all common providers even when they are not connected in the platform, and tap further lead data sources. Everything is combined, cross-checked and verified before it reaches your list.
Directly connected sources
Live in the system
Further providers
All common ones, even without a connection
Additional data sources
Research for niche audiences
Combine
One company, one contact, one record
Verify
Role, company and reachability
Enrich
Email, mobile, LinkedIn, company data
Your lead list
With source reference, ready for outreach
Data quality
One in three CEOs is wrong.
We checked it ourselves: in a common lead database, roughly one in three contacts listed as CEO was wrong. The role does not fit, the person left long ago, or the company is a micro business outside the target group. Not theoretical.
Wrong role. The title is on the profile, but the person does not decide.
Long gone. Job changes and exits reach databases months too late.
Outside the target group. A micro business with the title CEO is not a contact for your offer.
With us, every contact goes through a cross-check of several sources and your target group criteria before you reach out.
33%
100 checked CEO contacts from an unverified database
Source: report "How raw data becomes a real lead" (PDF)See methodology
The study
How we checked instead of believing.
Our own check, October 2026. We did not ask whether data looks current. We looked up every single person.
680
target companies in DACH with 501+ employees
4
AI providers: Blitz, AI Ark, GetLeads, LeadOcean
2,426
deliveries of CEOs and managing directors
1,119
unique persons, each checked individually
The evidence trail of one person
Delivered person
Anna Muster
Managing Director
Muster Maschinenbau GmbH
Checked against
Own website
Team and contact pages of the company
Legal notice
Legal representatives as required by law
Press and profile
Recent news and current professional profile
Verdict with evidence
"Anna Muster, Managing Director"
Source: legal notice, retrieved during the check
- Every verdict needs a quote and a source.
- Unclear cases got a second reading on the evidence only.
- Anyone not provable does not count as correct.
The results apply to this sample and this date. They are no statement about individual providers in other markets or at other times.
The results
Not just 33 percent. Here is what is behind it.
We name the providers: Blitz, AI Ark, GetLeads and LeadOcean. The point is not to expose anyone but to show what data quality looks like when you actually check it.
What each provider actually delivered
676 deliveries
838 deliveries
585 deliveries
327 deliveries
67%
confirmed for Blitz, the provider with the highest hit rate. That is the claim behind "one in three CEOs is wrong": 33 percent are wrong or not provable, of which 4 percent are not provable. Small print: we measured against reality (company website, legal notice, press). Against LinkedIn, providers match 96 to 97 percent; a large share of the errors already sits in LinkedIn itself.
Already left: 8 to 27 percent
Depending on the provider, up to one in four delivered persons is no longer at the company.
Wrong role: 19 to 34 percent
The person works there but is not CEO or management, or only has a side role.
The errors already sit in LinkedIn
Providers match LinkedIn 96 to 97 percent of the time. But about every sixth LinkedIn CEO profile is outdated, and every database copies that state. That is why each person needs an individual check.
How long departed people stay in the database
Time between a person leaving the company and the record being cleaned up. The median lag is between 13 and 46 months depending on the provider.
months. Single values above 240 months are clipped at the edge.
A "last updated" date only says when a record was touched, not that it was checked.
What we do differently
How raw data becomes a lead you can rely on.
We do not just cross-check, we verify in eleven steps. At every stage something gets kicked out before it costs you reputation.
- 1
Define the target group
Industry, size, region and role as a clear frame for everything after.
IndustrySizeRegion - 2
Pull from several data sources
If a source fails or returns nothing, the next one steps in automatically.
Source 1FallbackSource 3 - 3
Exclusion filters
Anything that does not fit is sorted out early.
Kicked out here: Wrong industry or size
- 4
Duplicate check
One person, one record, even when several sources deliver them.
Kicked out here: Duplicate entries
- 5
Company fit by AI
A verdict only counts when it comes with a quote as evidence.
VerdictQuote as evidenceKicked out here: Does not fit the target group
- 6
Enrich contact data source after source
A waterfall that stops at the first sure hit.
Source 1Source 2Sure hit - 7
Verify the email at the mail server, without sending
Unclear never counts as valid.
ValidRiskyInvalidUnclearKicked out here: Invalid email address
- 8
Check role and job status
Title check plus comparison with the current profile. People who left are flagged.
Kicked out here: Has left the company
- 9
Do-not-contact lists
Anyone who does not want or may not be contacted stays out.
Kicked out here: On the do-not-contact list
- 10
Fresh bounce check before sending
Right before sending, the address is checked once more.
Kicked out here: Address bounced recently
- 11
Send and monitor
A bounce stops the sequence and protects the health of your mailbox.
SentBounce stops sequence
We use various data sources directly in the system and can draw on all common providers even when they are not connected in the platform. On top of that come further lead data sources.
The proof from our test
Across the 680 companies, combining several sources confirmed a CEO at 565 firms. The best single source managed 520.
The report
Everything to read and share.
The 10-page guide with the study, the process and questions for your conversation with any lead provider.
- The study results in detail
- The 11-step process as a flowchart, including bounce checks
- 10 questions to ask your lead provider
The platform
Everything that turns data into a target group.
Precise filters
Filter target groups LinkedIn cannot find.
Combine industry, size, region, role and further company attributes freely. The hit count updates live, so you build target groups in minutes instead of days.
- Industries and classification
- Employees and revenue
- Roles and seniority
Target group
AI lookalikes
Enter your best customer. The AI finds the next ones.
Your strongest customers or dream accounts become a list of similar companies, matched by industry, size and profile.
- Similarity instead of guessing
- New matches at the push of a button
- Straight into your lead list
Your customer
Nordwerk GmbH
Similar companies
Verified contact data
Email, mobile number and LinkedIn in one profile.
Contact data is enriched and checked before outreach, so your messages reach the right person instead of nowhere.
- Email check before sending
- Decision-maker mobile numbers
- LinkedIn profile linked
Lena Hoffmann
Managing Director, Nordwerk GmbH
l.hoffmann@nordwerk.example
Mobile
+49 170 000 0000
Profile linked
No duplicates
One contact. Contacted once.
The platform recognises the same person across sources and merges them automatically. That protects your reputation and your budget.
- Automatic matching
- Merged records
- With source reference
Source A
L. Hoffmann
Nordwerk GmbH
Source B
Lena Hoffmann
Geschäftsführung
One record
Lena Hoffmann · Nordwerk GmbH
Fields combined
Export and CRM
Your leads are yours. Export as often as you like.
All data fields as CSV or Excel, or straight to your CRM. Custom table views show exactly the columns you need.
- CSV and Excel
- Straight to your CRM
- Custom table views
How it works
From target group to finished lead list.
Define the audience
Set filters or start a lookalike.
Cross-check data
Combine sources, verify, enrich.
Review the list
Exclude, sort, adjust views.
Reach out
Export or move straight into a campaign.
Transparent and GDPR compliant.
Source reference
For every record you see where the information comes from.
Human oversight
We review samples and anomalies, not just algorithms.
Credits do not expire
As long as your plan is active, your lead credits stay.
Questions and answers
What you want to know about our lead data.
Where does the lead data come from?
Several data sources are connected directly in the system. In addition, we can draw on all common providers even when they are not connected in the platform, and include further lead data sources. The data is combined, cross-checked and verified. For every record you see the source.
How do you make sure contacts are correct?
We cross-check role, company and reachability across several sources and apply your target group criteria, such as size and industry. Our own check showed that in unverified databases roughly one in three CEOs does not fit. These are exactly the cases we catch.
How did you run the study?
Our own check in October 2026: 680 target companies in DACH with 501+ employees, four AI lead-data providers (Blitz, AI Ark, GetLeads, LeadOcean), 1,119 unique persons from 2,426 deliveries. We checked every person individually against the company website, the legal notice, and press and current professional profile. Every verdict needed a quote and a source, and unclear cases got a second reading on the evidence only. The results apply to this sample and this date.
Why not just trust one database?
Because no single source is complete and current. In our test even the best single provider confirmed only 67 percent of delivered CEOs, and departed people stayed in the databases for a median of 13 to 46 months. Combining several sources confirmed a CEO at 565 of 680 firms, the best single source at 520. On top come role, email and bounce checks.
Can I export my leads?
Yes. Export all data fields as CSV or Excel or transfer them straight to your CRM, as often as you like.
What are AI lookalikes?
You enter a company, for example one of your best customers. The AI finds similar companies that fit your target group and suggests them as new matches.
Is this GDPR compliant?
Yes. You see the source of every record, we do not resell data, and processing follows GDPR requirements. We provide a data processing agreement on request.
See your target group as a verified lead list.
Start free with your target group or book a demo and see what data quality looks like with us.