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Accurate names are key to effective customer communication. Our Name Validation service runs a 40-step check to detect and remove inaccurate or fake names, ensuring your communications are correctly and professionally personalized, avoiding embarrassing mistakes with customers and prospects.
Name Validation leverages a global database of over 1.4 million first names and 2.75 million last names to verify and correct errors, ensuring accurate data entry and preventing unwanted entries in your database.
Returns validated name components in a precise order—prefix, first name, middle name, last name, and suffix—ensuring thorough accuracy.
Delivers a name quality score from 0 to 5, giving you a clear measure of the name’s reliability.
Provides key data for effective correspondence, including national origin, gender, and flags for distinguishing between business and personal names.
Results include scores from 0 to 5 for potentially vulgar, celebrity, bogus, and garbage names, making it easy to identify suspicious entries.
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Our real-time name validation service corrects and tests names against a proprietary database of millions to generate an overall quality score. Use this score to block or reject bogus submissions in your sales and marketing automation platforms.
First impressions matter, and getting your customer’s name right is a great start.
Name Validation identifies whether a name belongs to a business or individual and includes gender information to help your sales, call center, and customer service teams communicate more effectively.
Our service corrects first and last names, identifies possible variations, and supports global personalization with accented characters for international names.
Bogus contacts in your CRM and business platforms can be costly.
Name Validation prevents fraudulent leads by flagging vulgar, celebrity, and garbage names. It also breaks down complex names like “Mr. and Mrs. Jim and Susan Wilson II” into individual elements for consistent name entry.
Name Validation standardizes names to ensure uniformity across all internal systems.
It also flags duplicate records using similar name matching to eliminate redundant data.
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