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CRM Data Quality & Health Checker
Upload a CSV of your CRM contacts and get an instant data quality report. Detect missing fields, invalid emails, duplicates, and more — 100% client-side, your data never leaves the browser.
About Data Health Checker
What it does
Audits your CRM data quality by scoring completeness, accuracy, freshness, and consistency across contacts, deals, and activities to identify areas that need cleanup.
Why it matters
Bad CRM data costs companies an average of $12.9M per year. Clean data means better lead scoring, accurate forecasting, and higher team productivity.
Definition
Data health measures how complete, accurate, timely, and consistent your CRM records are. A healthy database has >90% field completion, <5% duplicates, and records updated within 30 days.
Assumptions
- •All required fields are defined in your CRM schema
- •Data freshness is measured from last modification date
- •Duplicate detection uses email and company name matching
How to interpret your results
Scores above 80% are healthy. Focus on fixing the lowest-scoring dimension first — usually completeness (missing fields) has the biggest impact on downstream processes.
How to improve
Enforce required fields
Make critical fields mandatory at the point of entry
Schedule monthly cleanups
Dedicate 2 hours/month to deduplication and enrichment
Automate enrichment
Use tools to auto-fill company data, job titles, and contact info
100% Private. All processing happens in your browser. No data is uploaded to any server.
Drag & drop your CSV file
or click to browse
Supports .csv files with headers. Common columns: name, email, phone, company, date.
How HelloGrowthCRM Helps
HelloGrowthCRM automatically enforces data quality rules on every contact — mandatory fields, email validation, duplicate detection, and activity-based freshness scoring happen in real time. Your CRM stays clean without manual audits, so your team can trust the data they sell from every single day.
CRM data hygiene guides
If this report surfaced duplicate, stale, or inconsistent records, these guides walk through the cleanup process and the operating standards that keep CRM data healthy over time.
Relevant searches and use cases
Teams usually land on this page when they are looking for CRM data quality and related workflows. This tool also supports searches such as data health audit, CRM data cleanup, duplicate contact detection, email validation tool, data hygiene CRM, CRM data quality score, sales data audit, contact data quality, CRM data cleansing.
Want the deeper strategy behind this tool?
Read the matching guide for implementation tips, definitions, and when to use this workflow.
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