Services
Database hygiene
Re-verify, re-enrich and replace stale records in your existing CRM. Restore deliverability before your next campaign. Cleaned file plus a diagnostic report on every engagement.
₹12,000 per 1,000 records · 3–5 days · 5 fields per record
What you get
The deliverable, stated as fields.
Not benefits — columns. This is what arrives in the workbook, on every row.
- Every record re-checked against LinkedIn and the company website
- Duplicates merged, with the surviving record identified
- Job-change flags on contacts who have moved
- Removal list, with the reason each record was flagged
- Re-import file in UTF-8 CSV with a BOM
The method
Five steps. Diagnosis first, then the fix.
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01
Diagnose
Your file is audited and every record categorised by issue type — bounced, job-changed, defunct company, title shift, catch-all or duplicate. You get the diagnostic summary before any work begins, so you know what you are paying to fix.
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02
Verify
SMTP verification on every email, plus a manual cross-check against LinkedIn for active employment. Catch-all domains and role accounts are flagged for human review, never auto-passed.
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03
Replace
For contacts who have moved, we find their successor in the same role at the same company. For defunct companies, we flag for removal. You decide whether to keep or replace.
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04
Enrich
Stale fields are refreshed — current title, seniority, LinkedIn URL, direct phone where available. The record you get back is more complete than the one you sent.
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05
Deliver
A cleaned, structured file plus a diagnostic report. Every record tagged Verified, Updated, Replaced, Flagged or Remove. We never delete records on your behalf.
Volume and turnaround
Flat per record, whether the record needs a two-second re-verify or a full LinkedIn lookup and replacement. Records that come back unsalvageable are still counted — you are paying for the diagnosis, not only for the successful fixes.
| Volume | INR | USD | Turnaround | Best for |
|---|---|---|---|---|
| 1,000 records | ₹12,000 | $145 | 3–5 days | One-time cleanup or campaign prep |
| 5,000 records | ₹60,000 | $715 | 7–10 days | Quarterly hygiene · sales team CRM |
| 10,000+ records | ₹120,000+ | $1,430+ | Custom | Annual CRM audit · marketing database |
How we verify
Four stages. A person at every one.
| Stage | What happens | Artifact produced |
|---|---|---|
| 01 Brief | A 30-minute Project Brief call with a senior analyst — not an SDR — to scope the ICP, territory, titles, volume and timeline. Ten fields, all required before research begins. If the brief shows we are not a fit, we say so before any work starts. | The signed research brief |
| 02 Source | Analysts map the territory across twenty-plus sources — ZoomInfo, Apollo, Clay, LinkedIn Sales Navigator, Cognism, Lusha, Crunchbase, PitchBook and company websites — triangulated rather than exported. Accounts outside the brief are dropped here. | The raw master source sheet |
| 03 Verify | Every contact is cross-checked by a person against LinkedIn and the company website: current role confirmed, employer matched, email format validated. The date of that check is recorded on the row. SMTP-only verification is the floor, not the ceiling. | The LinkedIn cross-check log |
| 04 QA and deliver | A 10% spot-check by a second person, with zero QA failures permitted — anything that fails goes back to the analyst. Records that cannot be confirmed are removed, not shipped as Pending. Then a CRM-ready XLSX and CSV with a count summary. | The QA spot-check sheet |
Most of what we remove from a client’s CRM is not wrong data, it is data that used to be right. The job is telling those two apart, one record at a time, rather than deleting anything that looks stale.
What you receive
One workbook, four sheets, and a CSV that imports cleanly.
Delivered as QD_[Client]_[Package]_[YYYYMMDD].xlsx with a matching UTF-8 CSV for direct CRM import. Phone columns are formatted as text, so long numbers do not arrive as scientific notation.
1 · Read Me
Client, package, ICP summary, delivery date, record counts, the verification method, and the guarantee stated verbatim.
2 · Verified Leads
One row per person. Company, contact, exact title, LinkedIn URL, verified email, confirmation date, status.
3 · Companies
One row per company. Domain, employee band, HQ country, sector, and the accounts we excluded.
4 · Method
Sources used, the verification steps applied, the exclusions, and the QA sample size.
| Company | Contact | Title | Confirmed | Status |
|---|---|---|---|---|
| N•••••• Systems | D. R••••• | VP Engineering | 2026-07-28 | Verified |
| C•••••• Labs | R. M••••• | Head of Infrastructure | 2026-07-29 | Verified |
| A••••••• Digital | S. T••••• | Director, Service Delivery | 2026-07-29 | Verified |
| V•••••• Cloud | J. P••••• | Chief Technology Officer | 2026-07-30 | Verified |
What buyers ask first
Three trade-offs we do not make.
We need volume.
Verified, not voluminous
A list of 5,000 with a quarter of them wrong costs more than 750 that are right — in domain reputation, in rep hours, and in the meetings that never happen. We size the list to what can be verified, and we say the number before you buy.
What does it cost per month?
Fixed price, no retainer
Nothing per month. Each project is quoted whole, before it starts, and that is what you pay. No seat licences, no credits to forecast, no minimum spend, and nothing that renews unless you ask it to.
Five to seven days is slow.
The turnaround is the feature
A list you can buy in ninety seconds is a list nobody checked. The days are people reading company sites and profiles, and dating what they confirmed. That is the part you are buying.
Who this is built for
Three kinds of IT company, three different briefs.
- B2B SaaS product companies
- Selling a product into a defined buyer. Usually needs titles by function, not by seniority alone.
- IT services and outsourcing
- Selling capacity and delivery. Usually needs the buying centre, not just the head of it.
- System integrators and consultancies
- Selling programmes. Usually needs the sponsor and the technical evaluator on the same account.
Data and compliance
The answers procurement asks for.
GDPR alignment
Business contact data, legitimate-interest basis, and a removal route that works on request.
CAN-SPAM / CASL
What we deliver, and the sending obligations that stay yours as the sender.
DPA on request
A signed data processing addendum for any engagement where we handle records you hold.
Source transparency
Every delivery ships a Method sheet naming the sources used and the exclusions applied.
90-day retention
Research working files are deleted 90 days after delivery unless you ask us to hold them.
Human verification
A person cross-checks each record against LinkedIn and the company website, and dates it.
FAQ
Questions we are asked before the first call.
Why do B2B emails bounce even on a recently bought list?
Because the record was accurate when it was collected and is not now. People change jobs, companies restructure, and a mailbox is deactivated long before the row is corrected. A list assembled from a database rather than checked at the point of delivery carries that decay from the day you buy it.
How fast does B2B contact data decay?
The published estimate we work to is 22.5% of a B2B database per year, cited in our terms to MarketingSherpa and HubSpot. On a 5,000-record CRM that is roughly 1,100 records a year quietly going stale. We do not publish a monthly figure, because the ones in circulation are not traceable to a source.
What hard-bounce rate should a B2B campaign expect?
We work to a 92%+ deliverability target, which implies a hard-bounce rate under 8%. That 8% is the trigger on our guarantee: report above it within 7 days of delivery and we replace every bounced record free, re-verified, within 5 working days — always from the same company as the original record.
Can you clean our existing CRM export?
Yes — that is the service. Records are re-checked against LinkedIn and the company website, deduplicated, flagged for job changes, and returned with a removal list naming the reason for each, plus a per-record diagnostic report. Minimum engagement is 1,000 records.
How long does database hygiene take?
3–5 days for 1,000 records, 7–10 days for 5,000. Larger CRM audits are quoted per engagement.
Where do the records come from on a hygiene project?
Yours. The input is the file you already hold, and most of the work is re-checking it rather than sourcing anything new. Where a contact has moved, the successor in the same role at the same company is sourced the way any record is — triangulated across platforms, then confirmed by a person against the live profile.
Who decides what gets deleted from our CRM?
You do. We flag, we do not delete: every record comes back tagged Verified, Updated, Replaced, Flagged or Remove, with the reason named. The removal list is a recommendation attached to the diagnostic report, and nothing leaves your database on our say-so.
Book a project brief