Free tool & API

Clean Your CRM Data Automatically

Clean Your CRM Data Automatically with Cleanlist's waterfall enrichment. Upload a CSV or connect your CRM — 30 free credits to start.

Start Free — 30 Credits

The Problem

CRM data rot is not a one-time problem — it is an accelerating one. Every form submission with a typo, every imported list with inconsistent formatting, and every contact who changes jobs without your knowledge adds entropy to your database. Salesforce research shows that the average CRM contains 30% duplicate records and 25-30% of all records have at least one critical field that is inaccurate or outdated.

How Cleanlist Solves This

Cleanlist's CRM cleaning tackles all five dimensions of data quality simultaneously: accuracy (verifying emails and phones are current), completeness (filling missing fields), consistency (normalizing formats and values), uniqueness (deduplicating records), and validity (ensuring data conforms to your business rules). Connect your CRM and run a full audit in minutes — then apply fixes selectively or in bulk.

98%
Email accuracy
15+
Data providers
30
Free credits

The 30-30-30 Rule: Why Your CRM Is Worse Than You Think

30%of CRM records degrade within one year of entry

Internal audits from 120 Cleanlist CRM-cleaning jobs in Q1 2026 reveal a consistent pattern we call the 30-30-30 rule: 30% of records contain at least one duplicate, 30% have one or more outdated fields (email bounced, phone disconnected, or job title changed), and 30% are missing a critical field like direct phone number or company size. The overlap between these categories means roughly 60% of the average B2B CRM needs some form of correction. The root cause is systemic — every data entry point (webforms, imports, manual creation, integration syncs) introduces inconsistency in slightly different ways, and most CRMs lack built-in validation strong enough to prevent it. The compounding effect is that reps lose trust in CRM data and revert to personal spreadsheets, which further degrades the system of record. Breaking this cycle requires not just a one-time clean but ongoing automated prevention.

Source: Cleanlist CRM audit data, 120 customer accounts, Q1 2026

How It Works

1

Connect Your CRM

Native integrations with HubSpot and Salesforce connect in under 2 minutes via OAuth. Cleanlist requests read/write access only to contact and company objects — no access to deals, tickets, or financial data.

2

Full Database Audit

Cleanlist scans every record and surfaces a data quality report: total records, duplicates found, missing fields by type, invalid emails, disconnected phone numbers, and inconsistent formatting. No changes are made until you approve.

3

Deduplication & Merge

Duplicate detection uses fuzzy matching across name, email, phone, and company — catching near-duplicates that exact-match tools miss (e.g., 'Rob Smith at Acme' and 'Robert Smith at ACME Inc.'). Merge rules let you choose which record's values survive.

4

Verification & Enrichment

All email addresses and phone numbers are verified in real-time. Invalid or disconnected contacts are flagged. Missing fields are filled via waterfall enrichment — job titles, company data, and direct dials are appended where available.

5

Normalization & Standardization

Phone numbers are formatted to E.164 standard. Country and state fields are standardized to ISO codes. Job titles are normalized to a canonical hierarchy. Company names are matched to official registered names.

6

Apply Changes & Set Rules

Review all proposed changes in a diff view before applying. Once satisfied, push updates to your CRM. Optionally enable ongoing validation rules that prevent bad data from entering your CRM going forward.

Key Benefits

98% Email Accuracy

Real-time email verification catches bounces, catch-alls, and disposable addresses before they cost you.

15+ Data Providers

Waterfall enrichment across multiple providers means higher match rates than any single-source tool.

No Code Required

Upload a CSV, connect your CRM, or use the API. Works however your team prefers.

30 Free Credits

Start enriching immediately. No credit card, no sales call, no commitment.

Manual Process vs Cleanlist

FeatureManualCleanlist
Duplicate detection accuracyExact-match only (misses name variations)Fuzzy matching with 95%+ detection rate
Full CRM audit (10K records)3-5 days of manual reviewUnder 15 minutes (automated scan)
Phone number formattingInconsistent across reps (mixing formats)Auto-normalized to E.164 international standard
Ongoing data quality preventionRelies on rep discipline (rarely enforced)Automated validation rules at point of entry
Job title standardizationManual mapping spreadsheet (never complete)50K+ title variations mapped to seniority hierarchy
Cost of inaction (per rep/year)$12,000 in wasted selling time (Gartner estimate)Starting at $29/mo for continuous CRM hygiene

Related Resources

Frequently Asked Questions

How accurate is Cleanlist's data?

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Cleanlist achieves 98% email accuracy through real-time verification and cross-referencing across 15+ data providers. Every record is validated before delivery.

How many free credits do I get?

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Every new account starts with 30 free credits. Each credit processes one record (enrichment, verification, or lookup). No credit card required to start.

What data providers does Cleanlist use?

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Cleanlist uses waterfall enrichment across 15+ providers including major B2B data sources. The system automatically selects the best provider for each record to maximize match rates.

Can I connect my CRM?

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Yes. Cleanlist integrates with HubSpot, Salesforce, and other CRMs. Enriched data syncs back automatically. You can also upload CSV files or use the REST API.

How long does it take to clean my data?

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Most jobs complete in under 2 minutes for up to 10,000 records. Larger files are processed in batches with progress updates.

How long does a full CRM cleaning take?

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The initial audit scan completes in 5-15 minutes depending on database size. Applying fixes (deduplication, enrichment, normalization) typically takes another 10-30 minutes for databases up to 100,000 records. The entire process — from connecting your CRM to having clean data — usually takes under an hour.

Can I undo changes if something goes wrong?

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Yes. Cleanlist creates a snapshot of all affected records before applying changes. If any update produces unexpected results, you can roll back individual records or the entire batch to the pre-cleaning state. We also provide a detailed changelog showing every field that was modified.

How do I prevent my CRM from getting dirty again after cleaning?

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Cleanlist offers real-time validation rules that run at the point of data entry — form submissions, list imports, and manual record creation. Invalid emails are blocked, formatting is auto-corrected, and potential duplicates are flagged before they enter your CRM. Combined with scheduled monthly re-enrichment, this keeps your database clean over time.

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