LeadQC by Zeplinix, B2B lead quality checkby Zeplinix
Book a 20-minute demo Run your data free

Live lead quality check,
from sourced data to GTM-ready.

Every prospect re-checked against 60+ live signals. Lead validation, lead enrichment and CRM data cleansing in the same pass, qualified by your rules, before it reaches a campaign.

Run your data free

How a lead quality check runs.

Wherever the file comes from, every record is re-checked, corrected, enriched and qualified, then resolved into three files. One run. Three outputs →

  • Apollo
  • ZoomInfo
  • Cognism
  • CRM
  • CSV / XLSX
  • API / cloud

+ any vendor file

Live quality engine
ValidateCorrectEnrichQualify
14,821/ 20,000
Checked live

One run. Three files.

Rejecterror.csv
Reviewcorrected_enriched.csv
Passgtm_ready.csv

Your source tells you what it knew.
LeadQC checks what is true now.

Stored snapshot
  • Stored data snapshot
  • Dependent on database freshness
  • Returns what the database already knew
  • May have changed since collection
Live check at QC time
  • Re-check at the point of QC
  • Current employment and business signals
  • Live contact validation
  • Correct what changed · enrich what is missing
  • Apply your QC rules · explain the decision

Illustrative.

Quality checking at production scale.

30M+records quality-checked & enriched last month
60+quality signals per prospect
~1,000records every 3 minutes
55–60%QC operations cost reduction

* Observed on this operation's configured rules. Figures are company-reported and vary by dataset, QC configuration and operating baseline.

Case file 01
65%lower QC headcount cost
Near 100%accuracy on their rules
5Mrecords a month
Demand generation Client

Two manual QC layers, replaced by one live engine.

B2B demand-generation operation

Before
  • Two manual QC layers, each with its own interpretation
  • Slow turnaround between sourcing and campaign
  • Fields taken at face value from the source file
With LeadQC
  • Automated correction and live enrichment at the point of QC
  • Company QC policy encoded once, applied to every record
  • Extra signals surfaced more sellable records, lifting revenue from the same data
Case file 02
80%lower sourcing cost
300Mrecords re-checked
Everysource, one policy
Multi-source data team Client

A 300M-record shelf, mostly dead contacts, turned back into pipeline.

Many platforms, one 300M-record shelf

Before
  • Data from many platforms, no consistent quality check
  • Most of the shelf was dead contacts nobody could trust
  • Fresh data bought again and again to replace it
With LeadQC
  • Shelf re-checked live: usable records revived, dead ones flagged with reasons
  • One QC policy across every source and vendor file
  • 80% lower sourcing cost, with more usable records out

Client names withheld here under agreement and shared on request: ask for a reference. Figures are client-reported on their configured QC rules and vary by dataset, QC configuration and operating baseline.

There is no universal definition
of clean B2B data.

Your QC policy · interactiveTry the switches
Record under evaluation R. Whitfield · Chief Revenue Officer Bellcastle Technologies · 742 employees · verified business email · in role 7 months, moved Feb 2026 · previous title held 5 yrs 6 mo
  • Seniority: Director and aboveRecord: Chief Revenue Officer
  • Employee size: 200 to 5,000Record: 742 employees
  • Require a verified business emailRecord: Verified at QC
  • Review if job changed in the last 12 monthsRecord: Moved 7 months ago
  • Exclude companies under 1,000 staffRecord: 742 employees
Final quality decisionPassMeets all 3 enabled rules
Questions

Lead quality check,
answered.

What is a B2B lead quality check?

A B2B lead quality check re-checks every sourced record against current signals: whether the person still works there, the domain is live, the email is deliverable, and seniority matches your ICP. LeadQC checks each record live against 60+ signals and flags anything that cannot be trusted.

How is this different from a lead gen quality check done by a vendor or by hand?

Vendor QA checks a file once, at delivery. Manual spot checks cover a sample. LeadQC re-checks every record live against your own QC rules and returns three files, each with the reason.

Which sources can I run through LeadQC?

Any B2B list: Apollo, ZoomInfo, Lusha, Cognism, Blitz or Gigasheet exports, vendor deliveries, CRM, CSV, XLSX or API. Named providers are examples. LeadQC is independent and not affiliated with them.

How fast is a run?

Files process at roughly 1,000 records every 3 minutes, and all three outputs come back together. The upfront file processing takes most of that time; the live checks themselves are fast.

Is my data safe?

Files are processed for your workspace only, never used to train models or pooled, and deleted after 90 days or sooner on request. SOC 2-aligned controls. Certification not claimed.

How we handle your data →

Check once. Trust the file.

Launch sooner.

Request free test credits with the form. Upload a real file, apply your actual QC rules, and compare the output yourself.

No sample dataset. No polished benchmark.
Your data. Your rules. Your output.

Book a 20-minute demo