Solutions · Demand Generation

Pipeline built on bad contacts isn't pipeline.

Demand gen teams fill the top of the funnel - but if the contacts are wrong, nothing downstream works. Filto verifies before the lead ever enters your CRM.

Annual decay

22–30%

of B2B contacts go stale every year without intervention

CRM accuracy

4 in 10

contacts in the average CRM have at least one critical inaccuracy

Cost of bad data

10×

the cost of a bad record once it enters your pipeline

The challenge

Where demand gen breaks down.

01

MQLs that don't convert

Leads with wrong job titles pass scoring thresholds they shouldn't - polluting pipeline quality.

02

SDRs wasting time on ghosts

Reps spend hours working leads who left the company, changed roles, or have dead email addresses.

03

CRM data that decays faster than you clean it

B2B contact data decays at 22–30% per year. Manual cleaning can't keep up at scale.

04

Inbound enrichment adding stale data

Third-party enrichment appends data that was accurate when scraped - not necessarily now.

05

List buys with unknown quality

Purchased lists come with no accuracy guarantee. The error rate is often higher than your CRM.

06

Forecasting on inflated pipeline

When contacts are wrong, opportunity data is wrong. CROs forecast on positions that don't exist.

crm_leads.csv - last 30 daysunverified
Total MQLs
1,240
Valid email
918

322 bouncing

Correct title
756

484 mis-scored

Current employer
714

526 changed jobs

Reachable
698

542 unreachable

Only 698 of 1,240 MQLs are workable44% waste

How Filto helps

Verified contacts entering the funnel from day one.

Filto sits upstream of your CRM and marketing automation. Every contact - whether from inbound, list buy, or enrichment - is verified before it's written to your system of record.

Cleaner MQLs

correct titles from day one

30-day refresh

rolling cycle, no manual work

Less SDR waste

fewer unreachable leads

Better forecasts

pipeline built on real contacts

New leads verified at point of entry - not cleaned retroactively

Job title and company corrections prevent mis-scored MQLs

Email verification reduces bounce rates and SDR time waste

Existing CRM contacts refreshed on a 30-day rolling cycle

Works alongside enrichment tools - Filto corrects what enrichment gets wrong

Get started

See how much of your pipeline is built on bad data.

Upload a sample of your CRM contacts and get a clear picture of what Filto would correct before your next campaign or sequence kicks off.

Request Demo

// Before Filto - CRM record

mql_score:87// based on wrong title
email:"j.doe@oldco.com"// bounces
company:"OldCo"// left 8mo ago
converted:false// $0 pipeline
// After Filto: contact corrected, MQL re-scored, email valid