How It Works
From CRM connection to automated workflows — click a topic to dive in.
Data Cleaning
Messy CRM data costs you deliverability, deals, and credibility.
CRM data cleaning is the process of normalizing formats, standardizing values, fixing errors, and removing duplicates to make contact data usable for outreach and reporting. ListPlus lets you clean data using natural language commands — type "normalize all phone numbers" instead of writing regex patterns, building formulas, or configuring workflow steps. No technical skills required.
The Problem: Dirty Data Accumulates Silently
Your CRM has "USA", "United States", "U.S.A.", "US", and "Unites States" in the country field — and nobody notices until a territory report breaks. Phone numbers are in 12 different formats. Half the German contacts have "+49" and the other half have "0049" or just "0172". Data cleaning tools exist, but they require regex expertise, Excel formulas, or visual workflow builders that take longer to configure than the actual cleanup.
Phone Number Normalization
Convert any phone format to E.164 international standard with one command. "+49 (0) 172 1234567", "0172-1234567", "49 172 1234 567" all become "+491721234567". Just type: "normalize all phone numbers to international format". No regex, no formulas, no per-country configuration. The AI handles country-specific formatting rules automatically.
Country & Value Standardization
"USA", "United States", "U.S.A.", "US", "Unites States" — the AI groups all variants and lets you pick one canonical value. Then all rows are updated in bulk. This works for any column with inconsistent values: countries, industries, job titles, company name variations. Unlike manual find-and-replace, the AI catches spelling mistakes and abbreviation variants you'd miss.
Email Validation & Deduplication
Detect invalid email formats, disposable/temporary addresses (guerrillamail, tempmail), personal emails (Gmail, Yahoo) vs corporate, role-based emails (info@, admin@), and addresses with excessive numbers (spam indicators) — 6 distinct validation types. Find duplicates by any column or combination: email, company name, phone number. The AI identifies exact matches and fuzzy matches (spelling variations) for review.
Frequently Asked Questions
How does ListPlus clean data differently from tools like Clay?
Clay requires building visual workflows for each cleaning operation. ListPlus lets you type commands in plain English — "normalize all phone numbers to international format" or "standardize country names". No workflow builder, no regex, no formulas. The AI generates the operations and executes them instantly.
Can ListPlus normalize phone numbers from different countries?
Yes. ListPlus converts phone numbers from any format to E.164 international standard. It handles country-specific formats automatically — German numbers with 0049 or +49, US numbers with 1 or +1, and so on. Just type "normalize all phone numbers" and it handles the rest.
What types of email validation does ListPlus support?
ListPlus validates 6 email categories: valid/invalid format, disposable emails (guerrillamail, tempmail), personal emails (Gmail, Yahoo), role-based addresses (info@, admin@), numeric-heavy addresses (spam indicators), and general format validation. Each type is a separate detection that you can run independently.
Does data cleaning sync back to my CRM?
Yes. All cleaning operations — normalized phone numbers, standardized countries, fixed formats — are tracked at the cell level and automatically written back to your CRM via bidirectional sync. You clean data in ListPlus and it's updated in HubSpot, Salesforce, or Pipedrive.
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