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Genderize.io
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Genderize.io

Predict gender from first names worldwide to enrich contact records, personalize outreach, and improve audience segmentation.

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Overview

Enrich contact records by predicting a person’s likely gender from their name. Use Genderize.io to add name-based gender attributes to leads, users, or CRM records for better personalization, segmentation, and reporting.

  • Fast name-based predictions - Returns gender, probability, and sample count from first names.
  • Localization - Improves accuracy for region-specific names and formats.
  • Full-name parsing - Extracts first names when you only have a combined name field.
  • Bulk processing - Enrich large lists and keep records up to date at scale.
  • Flexible operation - Run on individual records or entire datasets inside Databar.

Common uses:

  • Personalize email greetings and content.
  • Create more accurate audience segments for campaigns.
  • Clean and standardize CRM records.
  • Enhance analytics that rely on demographic attributes.

How it works: Databar sends the name to Genderize.io and returns the predicted gender, a confidence score, and sample count. Use these fields to filter, segment, or automatically update profiles.

Set up in minutes and run the connector as part of your enrichment pipelines to keep profiles consistent across systems.

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Always-fresh data gathered in real-time
Data is gathered in real-time when you submit your request so results are always fresh and reliable.
GDPR Compliant
This tool only provides publicly available data on the internet. Both US and European law permits such data to be used for commercial purposes.
Millions of successful requests
Join thousands of happy customers who have scaled with our real-time data collection tools.
Data is gathered in real-time
All data is fresh and gathered in real-time so every lead list you download is up-to-date and valid.
No technical skills required
Databar is built for non-technical users and eliminates the need for a developer.
Similar data sources
Pre-built tools from our team and data partners.
No related data sources.