How It Works
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Data Quality Analysis
You can't fix data problems you don't know about.
A CRM data quality audit is a systematic inspection of your contact database to find invalid emails, missing fields, duplicate records, formatting inconsistencies, and other issues that hurt deliverability and sales efficiency. ListPlus runs an AI-powered quality analysis that proactively scans your entire dataset, identifies issues with specific examples, and generates a prioritized checklist of remediation tasks — complete with one-click enrichment to fill the gaps.
The Problem: Hidden Data Issues Kill Campaigns
Most teams don't know their CRM data has problems until an email campaign bounces at 15%, a sales sequence targets the wrong people, or a report shows inconsistent territory assignments. By then, the damage is done — wasted budget, damaged sender reputation, lost deals. Manual data audits take days and only catch obvious issues. The subtle problems — disposable emails, role-based addresses, numeric-heavy spam indicators — go unnoticed.
AI Finds Issues You'd Never Catch Manually
The AI quality wizard scans your entire dataset and identifies issues most humans miss: disposable email addresses (guerrillamail, tempmail), role-based emails that won't reach a person (info@, admin@), phone numbers in wrong formats, ALL CAPS names, placeholder values (test@test.com), inconsistent country names, and more. Each finding includes specific examples from your data so you can verify before fixing.
Prioritized Action Items with Row Counts
Issues are ranked by severity: Critical (disposable emails, invalid formats that cause bounces), Warning (personal emails in B2B lists, missing key fields), and Info (formatting inconsistencies). Each item shows exactly how many rows are affected and suggests the best fix — whether it's a cleanup command, a format normalization, or an enrichment. You fix the most impactful issues first.
One-Click Enrichment for Missing Data
When the analysis finds missing data — no company name, no job title, no phone number — it suggests the right enrichment provider and source. Click the button to enrich only the affected rows. If the data was previously enriched but cells are still empty, ListPlus fills them from existing enrichment results without spending credits. Smart deduplication means one API call covers all rows sharing the same domain.
Frequently Asked Questions
What data quality issues does ListPlus detect?
ListPlus detects 15+ issue types including: invalid email formats, disposable/temporary emails, role-based addresses (info@, admin@), personal emails in B2B lists, missing fields (company, job title, phone), duplicate records, phone format inconsistencies, ALL CAPS names, placeholder values, and inconsistent country names.
Does the data quality analysis cost credits?
The analysis itself runs at no additional cost — it's included with your plan. Credits are only spent if you choose to enrich missing data using the suggested enrichment buttons. If enrichment data already exists from a previous enrichment, cells are filled without spending any credits.
How is ListPlus data quality different from CRM built-in reports?
CRM built-in reports show basic metrics like field completeness. ListPlus runs AI-powered analysis that catches subtle issues like disposable emails, numeric-heavy spam addresses, role-based emails, and inconsistent formatting. It also suggests specific fixes and lets you execute them in one click.
Can I run the quality analysis on a subset of my contacts?
Yes. You can select specific rows in the grid and run the analysis only on your selection. This is useful for auditing specific segments, newly imported contacts, or contacts from a particular campaign.
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