Filters match words, not people.
A head of design engineering at an EPC company rarely writes that title on his profile. A filter search will not find him. A researcher will.
Custom Data by the CookLeads Data Chef Team
Custom B2B Lead Lists, Built Record by Record and Verified by Phone
Tell us who you want to reach. Our research team finds the companies that fit, the right people inside them and their direct mobile numbers. Then we call every record to confirm it before it reaches you.
- Every record verified by call
- 120+ countries
- From 100 records
- Name
- R••••l M••••a
- Designation
- Head of Engineering
- Department / Job level
- Engineering / Head
- Company
- A••••• Fintech Pvt Ltd
- Industry / Funding stage
- Financial software / Series A
- Employees
- 51 to 200
- Person location
- Mumbai, Maharashtra
- Direct mobile
- +91 98••• ••412
- Work email
- r••••@a•••••.com
- linkedin.com/in/r••••
- Verification status
- Verified by call
- Remark
- Confirmed identity and role. Prefers calls after 11 am.
Trust and data standards
ISO/IEC 27001 Certified
Cert No. SCC/2606HE/3323 ·
Verify
- GDPR Compliant B2B Data
- CCPA Compliant
- DPDP Act Aligned
- 100+ custom lists delivered
- 50,000+ contacts profiled
- 120+ countries covered
Why filters miss your buyers
Most lead lists are pulled from the same filters everyone else uses. If your buyer is niche, those filters either miss them or hand you the wrong person.
Already tried LinkedIn search or DIN lookups and still can't find them? That is exactly what this service is for. Tight deadline? We handle urgent list building too.
Old data costs you calls.
People change jobs and numbers. A list pulled months ago and never checked sends your team to dead lines and the wrong desks.
Landlines and info@ inboxes don't reach buyers.
A switchboard number or a generic email lands with a gatekeeper. We build every record around the decision maker's direct mobile number.
How Our B2B List Building Service Works
Every custom list goes through the same seven steps. You see the count before we start, a sample before you commit and the data in batches so your campaign never waits.
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Step 1 Share your brief.
Fill the request form or email your requirement. Upload a target account list or a Do Not Contact list if you have one.
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Step 2 Brief review and count.
A Data Chef calls or emails you to confirm every criterion. Before any work starts, you get an approximate count of records we can build, so you know if your project is viable.
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Step 3 Free sample.
If you want proof first, we build a small sample to your exact brief. Every requirement is different, so the sample is too.
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Step 4 Account research.
We find and qualify the companies that match your industry, size, location and any niche filters, such as funding stage.
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Step 5 Contact research and enrichment.
Inside each company we find the people who match your departments and levels. We add their direct mobile number, work email, LinkedIn URL and the other fields you asked for.
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Step 6 Call verification and quality check.
We call every record. Each one gets a verification status and remark before it is approved for delivery.
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Step 7 Delivery and feedback.
You get the data in your format, in batches if you need it fast. If you report a wrong record, we re-verify it and replace or refund it if it is genuinely wrong.
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A reported record goes back to call verification (step 7 back to step 6)
What we need from you
A good list starts with a clear brief. Here is what our Data Chefs ask. Share what you know; we help you fill the gaps on the brief call.
Company and market
- Location of the company: country, state or city of the head office
- Industry and sub-industry: plus any industries to exclude
- Company size: employee range, turnover or revenue range, and whether the range is strict or best-effort
- Niche filters: funding stage, last funding round, company age, products sold, technology used, or anything else that defines your buyer
People to reach
- Location of the person: where the contact sits, which can differ from the head office. You choose: person, company or both.
- Departments: IT, Finance, HR, Sales, Marketing, Engineering, Operations, Purchase, Administration and more
- Job levels: Owner or Founder, CXO, President or VP, Director, Head, General Manager, Manager, Team Lead
- Exact job titles: if you have them
Lists and delivery
- Target account list: the companies you want profiled, if you already have them
- Do Not Contact list: existing customers, open deals, competitors or anyone we must leave out
- Volume and deadline: how many records and by when
- Mobile preference: direct mobile mandatory on every record, or email-only records accepted at a lower price
- Output format: your column order, CRM import template or internal data SOP
"SaaS companies funded from pre-seed to Series A, head office in Mumbai. Engineering managers and heads of engineering who are also based in Mumbai. 300 records, direct mobile mandatory, delivered as a HubSpot import file."
Data points in every record
Every record in your decision maker contact list has two parts: who the company is and who the person is. You choose the fields; these are the ones most teams ask for.
On request adjusted to your brief. Everything else is included as standard.
Company fields (standard)
| Field | What it contains | Example |
|---|---|---|
| Company name | Registered or trading name | A••••• Fintech Pvt Ltd |
| Website | Live company domain | a•••••.com |
| Industry | Main industry | Financial software |
| Sub-industry | Narrower vertical | Payments |
| Turnover range | Annual revenue band | ₹50 Cr to ₹100 Cr |
| Employee range | Headcount band | 51 to 200 |
| HQ or branch | Whether this location is the head office or a branch | Head office |
| Address | Office address | Lower Parel, Mumbai |
| City, State, PIN | Location of the office | Mumbai, Maharashtra, 400013 |
| Zone or region | North, South, East, West (India) or country region | West |
| Company LinkedIn page | Company page URL | linkedin.com/company/a••••• |
Contact fields (standard)
| Field | What it contains | Example |
|---|---|---|
| Full name | First and last name | R••••l M••••a |
| Designation On request | Title as the person uses it, or standardised on request | Head of Engineering |
| Department | Function | Engineering |
| Job level | Owner, CXO, VP, Director, Head, GM, Manager, Team Lead, Executive | Head |
| Person location | City, state and country where the person works | Mumbai, Maharashtra, India |
| Direct mobile | Personal direct mobile in international format | +91 98••• ••412 |
| Work email | Direct work email, never role-based | r••••@a•••••.com |
| LinkedIn URL | Profile link | linkedin.com/in/r•••• |
| Verification status | Result of the checks and call | Verified by call |
| Remark | Note from the verification call | Prefers calls after 11 am |
| Tags On request | Any tags you asked for | DND: No |
Optional fields (added when your brief needs them)
- Funding stage
- Last funding round
- Technology used
- Company age
- Direct landline
- Indian company registry details (CIN, incorporation date, company status, directors)
- Any custom field you define
Need a field that is not listed? Ask. If it can be found and verified, we add it.
- Name
- R••••l M••••a
- Designation
- Head of Engineering
- Department / Job level
- Engineering / Head
- Company
- A••••• Fintech Pvt Ltd
- Industry / Funding stage
- Financial software / Series A
- Employees
- 51 to 200
- Person location
- Mumbai, Maharashtra
- Direct mobile
- +91 98••• ••412
- Work email
- r••••@a•••••.com
- linkedin.com/in/r••••
- Verification status
- Verified by call
- Remark
- Confirmed identity and role. Prefers calls after 11 am.
Built record by record
Your list is not exported from a filter or copied from an old file. We do not resell third-party lists. Every record is built one at a time, and no record depends on a single source.
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Find the companies.
Primary research identifies companies that fit your brief, then checks each one for fit before any contact is added.
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Add the company data.
Industry, size, location, website and any niche fields like funding stage are added and cross-checked.
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Find the right person.
Researchers locate the people who match your departments and levels, and confirm they still work there.
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Enrich and verify.
We add the direct mobile number and work email, then call to verify before the record is approved.
We cross-check every record across public professional profiles, company websites, annual reports and filings, government company registries, industry associations and trade directories, news and funding announcements, job postings, the CookLeads contact database, and a direct verification call.
How we validate and clean every record
Before a record reaches you, it passes 10 checks. We run them on every record, not on a sample.
How are B2B leads verified?
The result is verified B2B data: every record passes the 10 checks below.
Brief match check Every record is checked against each of your criteria: industry, company size, company location, person location, department and job level.
- What we check
- Every record is checked against each of your criteria: industry, company size, company location, person location, department and job level.
- How
- Strict ranges are applied exactly. Best-effort ranges allow the nearest fit, and we tell you which you chose.
- Why it matters
- A verified number is useless if the person is outside your target.
Company verification The company is active and its details are correct.
- What we check
- The company is active and its details are correct.
- How
- We confirm the website is live and cross-check name, address and size across the company website, annual reports and government company registries. When turnover or headcount is not publicly declared, we estimate the range from the company's operating footprint and say so.
- Why it matters
- Closed, merged or renamed companies waste your team's time.
Current employment check The person still works at the company, in the role shown.
- What we check
- The person still works at the company, in the role shown.
- How
- We check their professional profile and public employer records, then confirm on the verification call.
- Why it matters
- People change jobs often. A record for someone who left last quarter is a dead lead.
Direct mobile verification — four technical checks + live verification call The number is a working mobile that belongs to this person.
- What we check
- The number is a working mobile that belongs to this person.
- How
- (a) Format and country code check. (b) Operator lookup to confirm the number is active and is a mobile, not a landline. (c) Ring check to confirm it connects. (d) Caller-ID cross-check that the registered name matches. Then a live verification call.
- Why it matters
- Direct mobile numbers are why teams buy custom lists. We do not deliver switchboards or landlines as mobile numbers.
Live verification call A Data Chef calls every record before delivery.
- What we check
- A Data Chef calls every record before delivery.
- How
- The call confirms the person, company and role. The researcher records a status and a remark, such as the best time to call.
- Why it matters
- No automated check proves that the right person answers. A call does.
Work email check A direct work email for the person, never a shared inbox.
- What we check
- A direct work email for the person, never a shared inbox.
- How
- We never deliver role-based addresses like info@, hr@ or sales@. Each email goes through syntax, domain and mailbox checks. If a work email cannot be traced, we may supply another verified professional email so your outreach does not stop.
- Why it matters
- A personal work inbox reaches the buyer; a shared inbox reaches whoever sorts the mail.
De-duplication Each person appears once.
- What we check
- Each person appears once.
- How
- We match on company, person name and designation, not only on email or phone. If the same person shows up twice with a second number, we keep one record. We also de-duplicate across every batch of the same project.
- Why it matters
- Duplicates mean two reps calling one buyer, and you paying twice.
Suppression and DNC removal Nobody on your exclusion list reaches your file.
- What we check
- Nobody on your exclusion list reaches your file.
- How
- We remove every company or contact on your Do Not Contact list, existing customers or open deals before delivery.
- Why it matters
- Calling your own customers as cold leads costs trust.
Formatting and standardisation Clean, consistent data that imports without errors.
- What we check
- Clean, consistent data that imports without errors.
- How
- Phone numbers in international format (for example +91 98XXX XXXXX), names in proper case, consistent city and state names, clean website domains, and separate columns for department and job level. Designations stay as the person writes them, or are standardised to your titles if you ask.
- Why it matters
- Messy files break CRM imports, routing and reports.
Tagging and final review Each record carries its verification status, remark and any tags you asked for.
- What we check
- Each record carries its verification status, remark and any tags you asked for.
- How
- Every record is reviewed before release, not a sample of them. Records that fail any check go back for rework and are not delivered.
- Why it matters
- You know the state of every row before your team picks up the phone.
After delivery
If you report a record as wrong, we call it again. Sometimes the number is right and the person was simply busy or unwilling to talk; we share what we found. If the record is genuinely wrong, we replace or refund it.
DNC and suppression lists
Send us your Do Not Contact list in CSV or Excel and we remove every match before delivery: existing customers, open deals, competitors or anyone who asked not to be contacted. For Indian numbers, we can also tag contacts registered on the national Do Not Disturb register on request.
- Your exclusion list is used only for your project and is never added to any other client's data.
- Matches are removed at company level, contact level, or both, as you choose.
- Following calling and messaging rules in your country, including DND rules in India, remains the responsibility of the team running the campaign. Tags help you do that.
Delivery: format, batches and timelines
Timelines depend on how niche your criteria are, not only on volume. Your Data Chef confirms the timeline with the count, before work starts.
Standard criteria, 100 to 10,000 records
1 to 7 working days
One file or batches
Niche criteria or very large volume
2 to 3 weeks
Batches, so your campaign starts early
Regular clients sending accounts on a rolling basis
Ongoing
Profiled as accounts arrive, billed after delivery
Formats: There is no fixed format. Fields and layout follow your brief: Excel, CSV, your CRM import template, or the exact column order from your internal data SOP.
Minimum order: 100 records.
Our accuracy promise
We verify by call before delivery, so we can stand behind the numbers after delivery.
B2B Lists With Direct Mobile Numbers in India
We build B2B lists with direct mobile numbers for India and 120+ countries. Every mobile goes through four technical checks and a live verification call before delivery, and you can make a direct mobile mandatory on every record.
Direct mobile on every record, if you need it.
Choose mobile-mandatory and every record you receive carries a direct mobile number, so your targeted lead list with mobile numbers is ready to call.
Wrong number? We re-check it.
Report it and we call again. If it is genuinely wrong, it is replaced.
Your choice of fix.
A replacement record, an extra record, a refund, or the amount adjusted in your next bill.
No surprises on email.
Emails are direct work addresses, delivered on a best-effort basis. Choose email-only records and a bounced email is fully refundable.
- A record with a valid direct mobile number remains payable even if its email bounces or is missing.
- Turnover and employee ranges that are not publicly declared are estimated by research. Minor variations do not qualify for a refund.
- Refunds or replacements apply after we re-verify the reported record.
- Read the full Custom Dataset Terms
Projects we have delivered
Custom list vs self-serve platform vs bought list
Not every project needs custom list building services. Here is how to choose.
| Criteria | Custom lead list (Data Chef team) | CookLeads self-serve platform | Bought or downloaded list |
|---|---|---|---|
| Who finds the data | Our researchers, record by record | You, using the Chrome extension, profile/DIN enrichment, or your own uploaded list | Whichever B2B database provider compiled the file, often long ago |
| Niche criteria (funding stage, hidden titles, person + company location) | Yes | Depends on the self-serve product capabilities and the data available there | Rarely |
| Verified by call before delivery | Every record | No (automated 7-stage purification engine) | Usually not |
| Direct mobile number | Mandatory if you ask | Where available, with No Mobile, No Charge | Often landlines or none |
| Your DNC list removed | Yes | You manage it | No |
| Speed | 1 day to 3 weeks | Instant | Instant |
| Minimum | 100 records | 1 credit per mobile found | Varies |
| Best for | Niche audiences, events, target account lists, deadlines | Ongoing prospecting by your own team | Not recommended for outreach |
Need a few contacts today? Use the LinkedIn phone number finder or director lookup by DIN.
Need a list built to a brief? Request a custom list.
Who uses custom B2B lead lists
Teams use our custom contact list building and B2B data profiling services to reach buyers that filters miss.
Event and conference organisers
a lead list for event marketing that fills rooms with the exact decision makers in one city, by a fixed date.
Account-based marketing teams
data profiling for target account lists, with the buying committee profiled inside each account.
SaaS and technology sales
reach IT, engineering and finance leaders at companies of the right size and funding stage.
Manufacturing, infrastructure and EPC suppliers
find project heads and engineering leaders who are not visible on filters.
Financial services and fintech
reach CFOs, finance heads and founders at companies above a turnover threshold.
Agencies and channel partners
build audiences for client campaigns across India and 120+ countries.
Meet the Data Chef team
Our B2B data research services are delivered by our in-house research team, the Data Chefs. 10 researchers work on custom projects full time, supported by a strong freelancer research network for high-urgency requirements, such as an urgent lead list. Every record is still checked by the in-house team before delivery.
- 10 researchers, full time
- Freelancer network for urgent work
- Every record checked in-house
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Brief and scoping
a Data Chef reviews your brief with you, shares the count and builds your sample.
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Research
researchers find companies and people, add data points and enrich contact details.
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Verification
every record is called, given a status and remark, and reviewed before release.
Pricing
₹50–₹1,000 per record
Our B2B list building services are priced per record and quoted per project. Most projects fall between ₹50 and ₹1,000 per record. Like any B2B list building service, the price follows the research effort, not a fixed rate card. The minimum project size is 100 records, and the price depends on your project scope and requirements.
What changes the price
- How niche your criteria are
- Direct mobile mandatory or email-only records
- Country and city coverage
- Number of data fields
- Volume and deadline
Send your brief and get a quote within 24 hours. A free sample is available for qualified projects: it is prepared manually and emailed to you. No account is required to request a project.
Compliance and data ethics
ISO/IEC 27001 Certified
Cert No. SCC/2606HE/3323 ·
Verify
- GDPR Compliant B2B Data
- CCPA Compliant
- DPDP Act Aligned
Business data only.
Our custom data services collect professional information: name, role, company, work email and business phone. We do not collect sensitive personal data such as government IDs or health records.
Clear lawful basis.
Processing follows legitimate interest under GDPR and the legitimate uses provided under India's DPDP Act 2023, as described in our Privacy Policy.
Easy opt-out.
Any professional can remove their profile through our privacy rights portal or by emailing privacy@cookleads.com.
Responsible use.
Clients agree not to use data for spam, harassment, consumer marketing or any unlawful purpose.
Frequently asked questions
A list of companies and decision makers built to your exact brief by a research team, instead of being exported from a database filter. It is sometimes called a list building service or B2B data profiling. Every record on a CookLeads custom list is verified by call before delivery.
Pricing is per record, usually between ₹50 and ₹1,000 depending on how niche the criteria are, whether a direct mobile is mandatory, geography and volume. Send your brief for a quote within 24 hours.
100 records.
India and 120+ countries.
Every record passes 10 checks, including a current-employment check, a four-layer mobile check and a live verification call. See the full process above.
Yes. If you choose mobile-mandatory, every record has a direct mobile. If a number is reported wrong, we re-verify it and replace or refund it if it is genuinely wrong.
Emails are direct work addresses, never info@ or hr@, delivered on a best-effort basis. An email can bounce for reasons outside the data, such as spam filters or sender reputation. If you choose email-only records, a bounced email is fully refundable.
Yes. Every match on your exclusion list is removed before delivery. We can also tag Indian numbers on the national DND register on request.
Standard projects take 1 to 7 working days. Niche or very large projects can take 2 to 3 weeks, delivered in batches so you can start early.
Yes, for qualified projects. The sample is built to your exact brief, and our team emails it to you. You don't need a CookLeads account.
Yes. Upload your account list and we find the right people inside each account.
There is no fixed format. Fields and layout follow your brief: Excel, CSV, your CRM import template or your own data SOP format.