direct phone numbers

Phone numbers on 94.6M consumer records, plus business rows where we hold one.

Two different things live in field 10. On business rows, a phone number where the source carried one — never a switchboard number used as a stand-in. And separately, 94,639,300 consumer phone records across 84 countries with full name, address, gender and age.

not screened against do-not-call registers — that is on the caller

Consumer phone rows
0 M
Countries with phone
0
Fields per record
0
Per file, one time
$ 0
what is in the column

A number is not a lead. A named person with a number is.

Every consumer phone row is a person, not a reception desk. The trade-off is that phone coverage is narrower than email coverage and the file carries no email column — so check your market before you commit.
Name, phone, address, gender, age
The records we describe as leads without email. Built to dial or to send SMS, and the only file in the catalogue with age and gender on it.
Phone where the source held one
Filled where we hold a number and empty where we do not. We do not pad the column with a company switchboard to raise the fill rate.
Do-not-call screening
Our pipeline validates email deliverability, not telephony compliance. Screening against the DNC, TPS or your local register is the caller’s responsibility, and worth doing before the first dial.
Mobile-only filtering
If you need mobiles for SMS, say so — we filter by number pattern for your market before delivery rather than after.
coverage

The twelve largest countries for phone records

Counts are consumer phone records for that country. If your market is thin here, the business file with its phone column may cover you better — ask and we will compare both for you.

Burundi

Africa

15,400,000

16% of field

Ethiopia

Africa

11,400,000

12% of field

Burkina Faso

Africa

6,400,000

6.8% of field

Bhutan

Asia

2,900,000

3.1% of field

Cambodia

Asia

2,800,000

3.0% of field

India

Asia

2,000,000

2.1% of field

Brazil

South America

2,000,000

2.1% of field

Netherlands

Europe

2,000,000

2.1% of field

Malaysia

Asia

2,000,000

2.1% of field

Chad

Africa

1,600,000

1.7% of field

Germany

Europe

1,000,000

1.1% of field

Canada

North America

1,000,000

1.1% of field

Africa

43,797,000

Asia

15,006,000

Europe

14,431,300

South America

8,318,000

Middle East

7,462,000

North America

4,553,000

Oceania

1,072,000

the field in context

The consumer phone row, and what replaces the email column.

All eleven columns ship in every file, so this field arrives alongside the rest whether or not it is the reason you bought See all 11 fields.

phone file

CONTACT PERSON

GENDER AGE PHONE NUMBER LOCATION COUNTRY

D. Mwangi

F 34 +254 7•• ••• 214 Nairobi KE
T. Nguyen M 41 +84 9•• ••• 907 Da Nang VN

P. Sharma

M

29

+91 98•• ••4 512 Pune IN
L. Fernández

F

52

+34 6•• ••• 083 Sevilla ES
the honest limits

We verify email addresses. We do not verify that a phone is answered.

There is no SMTP handshake for a telephone. Numbers are validated for format and country pattern and carried from the source; they are not dialled to confirm a human. Any vendor claiming phone-verified numbers at this price is describing something else.

consumer phone records · no email column · sold by country

validated

Format and country dialling pattern

not validated

Whether the line is live or answered

your job

DNC / TPS screening before you dial

free first

100 rows so you can test-dial a handful yourself

questions

Questions about phone data

Are these mobile or landline?
Both, and the source does not always distinguish. Ask for mobile-only and we filter by number pattern for your market before delivery.
Because those records never carried one. Generating an address to fill the column would be the fastest way to ruin your sending domain.
No. It is populated where the source held a number. If a filled phone column is your requirement, say so and we will quote the count for your markets first.
The lawful basis for a call is determined by you, the caller, because only you know the market, the message and the register that applies. We supply the data and document its origin.
the other fields

Eleven columns, and none of them cost extra

Every file carries all eleven. These pages exist because buyers usually arrive looking for one specific column.

Business email addresses

264.7M

The work address, and the only field the whole verification pipeline exists to protect.

LinkedIn profiles

48.5M

The profile a record was matched to. Widest country coverage of any field we hold.

Company size & revenue

on the row

Employee band and revenue band on the row, not an enterprise add-on.

Job title & seniority

264.7M

The title as recorded, normalised into eleven role values you can filter on.

Take 100 rows and dial five of them before you buy the file.

Name the countries and the field you care about most, and the 100-row sample will show you exactly how densely it is populated there.

FREE 100-ROW SAMPLE

See 100 real rows before you spend anything.

Tell us who you’re trying to reach and we’ll pull a genuine slice of that list — with the date every address was last checked. Test it in your own tool, then decide.

EMAIL

COMPANY

TITLE

CHECKED

j.whitcombe@•••••.com

Northloop

Founder

Updated

priya.n@•••••••.io

Cadence AI

CEO

Updated

+ 98 More Rows in Your Sample

EmailProLeads

100 verified rows, free, before you pay a thing.

Tell us the audience you’re after and we’ll send a real slice of that file — with the date each address was last checked.

EMAIL

COMPANY

TITLE

CHECKED

j.whitcombe@•••••.com

Northloop

Founder

Updated

priya.n@•••••••.io

Cadence AI

CEO

Updated

+ 98 More Rows in Your Sample

WAIT!!!

Don’t Leave Empty Handed!

You've Qualified For An Additional Discount

Get FREE 100 Leads​

Seconds