CRM HYGIENE · LIVE DATA HEALTH

Your CRM is rotting.
Quietly. Every day.

Roughly a fifth of your B2B contact base goes bad every year — wrong titles, dead inboxes, duplicate ghosts. Nobody notices until a campaign underperforms or an auditor asks a question you can't answer. We diagnose the rot and remove it, permanently.

crm_health.scan · before
42%
records passing integrity checks
Deliverable emails
68.4%
Duplicate contact pairs
6,204
Stale job titles (>12mo)
14.8%
Suppression mismatches
312
0%
of contact data decays yearly
0%
of rep time lost to bad records
$0M
average annual cost of dirty data
Drag To Compare

The same five records. Before and after.

Drag the divider to see exactly what our six-stage process does to a typical CRM export — no theory, just the actual before-and-after.

sample_export.csv — 5 of 48,204 rows shown45% cleaned
NameEmailTitleStatus
jon smithjsmith@old-co.conVP SaleBounced
J. SMITHjon.smith@oldco.comvp salesDuplicate
maria garciam.garcia@Head of Mktg.Invalid
dave oconnordave@oconn0r-corp.iodirector,ITStale role
PRIYA kpriya@—cooNo consent
NameEmailTitleStatus
Jon Smithjon.smith@oldco.comVP, SalesVerified
merged ↑Merged
Maria Garciam.garcia@brightpath.comHead of MarketingVerified
Dave O'Connordave@oconnorcorp.ioDirector, ITRole updated
Priya Kapoorpriya.kapoor@nimbusly.comCOOConsent on file
RAW EXPORT
CLEANSED
Drag anywhere in the panel — or tap and hold on mobile
Full CRM Cleansing

From liability back to revenue asset.

A database riddled with dead emails, duplicate accounts and half-filled fields doesn't just sit there — it actively costs you. It skews your reporting, torches your sender reputation, and sends reps chasing contacts who left the company two years ago.

We run a structured, six-stage hygiene programme across databases of any size — five thousand records or five million — that restores accuracy, strips out duplication, and locks every field into a consistent standard your whole revenue team can trust.

Diagnostic Coverage

Six fault types. Zero blind spots.

Bad data doesn't announce itself — it accumulates silently until a campaign fails or a compliance review flags it. Our scan catches every category before that happens. Tap a card for detail.

E01

Duplicate identities

Fuzzy and exact-match logic reconciles near-duplicate contacts, leads and accounts created by naming quirks and multi-source imports.

Typical fix: 1,800–6,000 merges per 100K records, applying your field-level merge priority.

tap for merge example
E02

Dead addresses

Syntax checks, domain verification and live deliverability testing catch inboxes that will never receive your message.

Highest severity: sustained bounces above 3% trigger inbox-provider penalties.

tap for risk detail
E03

Expired contacts

Job-change detection and role verification against live sources flag people who no longer hold the position you're targeting.

Checked against live professional-network signals, not a static snapshot.

tap for source detail
E04

Partial records

Missing-field detection paired with enrichment recommendations closes the gaps that make personalisation impossible.

Lowest severity alone, but compounds fast when paired with E01 duplicates.

tap for context
E05

Inconsistent formatting

Phone numbers, addresses and naming conventions are normalised to a single standard across every object in your CRM.

Normalised to E.164 phone format and your CRM's picklist values.

tap for standard used
E06

Consent gaps

Opt-out status, suppression alignment and lawful-basis review catch the errors that turn into regulatory exposure.

Cross-checked against GDPR, CCPA and CAN-SPAM suppression obligations.

tap for compliance basis
Validation Approach

Automation for scale. Judgment for accuracy.

01 · MACHINE PASS

Pattern recognition at volume

AI-driven rules sweep every record for the six fault types simultaneously, scoring confidence and flagging anything ambiguous for a second look.

  • Runs across millions of records in hours, not weeks
  • Consistent logic applied identically every time
  • Flags edge cases rather than guessing on them
02 · HUMAN PASS

Judgment where it matters

Every record the machine flags as uncertain is reviewed by a person before it's merged, corrected or removed — nothing gets marked clean by default.

  • Manual review at every critical decision point
  • Published accuracy standards, checked record by record
  • Full accountability for every change made
The Cost of Doing Nothing

Dirty data isn't a quirk. It's a revenue leak.

These aren't hypothetical risks. They're losses already happening inside a CRM that hasn't been systematically cleansed.

0%
of organisations say under half their CRM data is accurate and complete
0%
of CRM users report losing revenue directly to poor data quality
$0M
average yearly cost of bad data per organisation
AI adoption stalls on bad data. Poor data quality is now the top blocker to AI readiness cited by revenue teams.
Reps stop selling and start verifying. Teams working unclean databases can burn a third of their week checking contact details.
Sender reputation takes months to repair. Sustained bounce rates trigger inbox-provider penalties that don't reverse quickly.
Regulatory exposure compounds silently. Stale consent records aren't just messy — under GDPR and CCPA, they're a liability.
Service Options

Pick the cadence your database needs.

From a single emergency clean to a permanently embedded hygiene programme — matched to your budget and how fast your data actually decays. Tap a card to select it.

Single Pass

Full Reset

A complete audit and cleanse of your entire CRM in one fixed-scope project — deduplication, validation, standardisation and compliance review included.

Every 90 Days

Scheduled Refresh

A recurring cleansing cycle that catches job changes, invalidations and drift every quarter, before small decay becomes a pipeline problem.

Always-On

Continuous Hygiene

A managed service monitoring your CRM in real time — validating new records as they land and flagging decay as it happens.

On-Demand

Pre-Campaign Cleanse

A targeted pass on one segment ahead of a major send or launch, so the list you're about to use is clean before the first message goes out.

Selected programme: Continuous Hygienean always-on managed service monitoring your CRM in real time.Request this plan →
Compliance

Clean data is a legal obligation, not a nice-to-have.

Under GDPR, CCPA and CAN-SPAM, holding accurate, consent-verified contact data isn't optional. Our process is built to satisfy both the performance and the regulatory side of data quality.

Right to erasure, honoured everywhere

Deletion and opt-out requests are applied across duplicates and merged records alike, not just the original entry.

Consent basis documented

We review and record the lawful basis behind every category of contact — before a regulator asks for it.

CCPA rights maintained

Suppression lists stay current and synchronised so California residents' data rights are honoured across every platform.

CAN-SPAM & CASL alignment

Unsubscribe records are validated and applied consistently to every outbound campaign, on every channel.

Full audit trail

Every cleansing action is logged with a timestamp — the record your legal and compliance teams need on request.

ISO 27001-certified handling

Your CRM data moves through an information-security framework with enterprise controls throughout.

GDPRCCPACAN-SPAMCASLISO 27001SOC 2 Type II
Our Methodology

Six stages. One clean database.

A repeatable pipeline that produces the same result regardless of database size, CRM platform, or how far the data has already drifted.

Audit & Score

We ingest a full export and run a health audit, scoring every field and producing a prioritised remediation report.

S1
S2

Deduplicate

Exact and fuzzy matching across contacts, leads and accounts merges near-duplicates using your preferred field logic.

Validate

Emails, phone numbers and domains are checked in real time against live verification APIs — invalid records get quarantined.

S3
S4

Standardise

Every field — phone formats, job titles, country names, address structure — is normalised to your CRM's schema.

Compliance Review

Opt-outs, suppression lists and lawful-basis records are cross-checked against GDPR, CCPA and CAN-SPAM obligations.

S5
S6

Reimport

The cleansed database is formatted to your CRM's schema and reimported with a full audit trail — trusted, compliant, ready.

Find out how clean your CRM really isn't.

A free audit shows you exactly where the decay is — no commitment required.

Request a Free CRM Audit →