Use Case · Data Platforms & Aggregators
Your clients trust your data. Can you?
When independently tested, 38–42% of contacts across major B2B data providers have problems. Your clients discover this when campaigns underperform - and they blame you.
Data flow
Filto verification layer
Human verifiers + AI cross-referencing
Error rate
38–42%
of contacts across major B2B data providers have problems
Accuracy half-life
6 months
before freshly collected data starts showing significant decay
Re-verify cycle
30 days
continuous refresh keeps your corpus accurate, not just clean once
The problem
The foundation is shaky.
You aggregate contact and company data from multiple sources - web crawls, third-party providers, contributor networks, public records. Your platform layers enrichment, intent signals, and workflow tools on top.
But the foundation is shaky. When independently tested, 38–42% of contacts across major B2B data providers have problems: wrong titles, wrong companies, people who've already moved on.
Your clients discover this when their connect rates drop and their campaigns underperform. And they blame you.
What your clients see
Wrong job title
Contact listed as VP still shows Director from 14 months ago
Person left the company
Email bounces - individual moved to a competitor 6 months back
Company no longer exists
Acquired and merged - firmographic data never updated
Duplicate with conflicting data
Same person, two records, two different titles and companies
Why it persists
Verified at collection. Stale by delivery.
Most data platforms verify at the point of collection - and then the data sits. Job changes, promotions, company moves - all of it happens silently.
You can't build an in-house verification team large enough to continuously re-verify millions of records at the pace people actually change jobs.
Automated verification tools only check deliverability (email bounce), not whether the person is still at that company with that title. That gap is where accuracy dies.
How Filto solves it
Your verification layer.
Filto acts as your verification layer. Send us your contact corpus - we verify each record against credible public sources using our trained network of verifiers, backed by AI extraction and cross-referencing.
Every record comes back with a confidence score and audit trail. You know exactly which contacts are current and which have drifted.
On a rolling 30-day cycle, we re-verify so your data doesn't just get cleaned once - it stays clean.
Trained verifier network checks every record at the source
AI extracts and cross-references across any language
Confidence score and audit trail on every contact
30-day rolling re-verification - not a one-time clean
No scraping, no bots - full audit proof for your clients
From the field
“A global data platform ran their full contact database through independent testing and found 38–42% of records had issues across every major data vendor they used.”
After implementing continuous verification, outbound teams saw connect rates improve from single digits to over 25% - same team, same outreach, different data quality.
Global data platform - anonymized
Result
7–8% → 26.5%
Connect rate improvement - same team, same outreach
38–42%
of records had issues across every major vendor tested
One change: the verification layer underneath.
Ready to make your data accurate enough to put in a contract?
Upload a sample of your corpus and see exactly what Filto would correct before your clients do.