Name Gender Guesser
Predict gender from first names with probability scores.
For marketers: Personalize email campaigns, segment audiences by gender, and tailor messaging for higher engagement.
Predict Gender
Gender prediction by Genderize.io
Predict gender from first names with probability scores.
For marketers: Personalize email campaigns, segment audiences by gender, and tailor messaging for higher engagement.
Gender prediction by Genderize.io
Gender-based personalization is one of the most effective ways to improve marketing performance. Studies consistently show that personalized emails generate higher open rates and click-through rates compared to generic messages. When you know the likely gender of a contact, you can adjust greetings, product recommendations, imagery, and messaging tone to better resonate with your audience.
For example, an e-commerce brand can segment their email list by predicted gender and tailor product recommendations accordingly. A SaaS company might adjust case study selections or testimonial choices to match the likely gender of the recipient. Even small changes like using the right honorific (Mr. vs. Ms.) can significantly improve engagement and reduce the perception that your outreach is impersonal spam.
When your CRM or email list contains first names but no gender field, a name-based gender predictor fills that gap at scale. Rather than manually researching each contact, you can batch process hundreds of names and create gender-based segments in minutes.
This is particularly valuable for B2B marketers who collect leads from form submissions, event registrations, or LinkedIn connections where gender data is not explicitly collected. By adding a predicted gender column to your contact database, you unlock new segmentation possibilities for email campaigns, ad targeting, and content personalization without requiring additional form fields that could reduce conversion rates.
Names carry different gender associations across cultures. The name Andrea is predominantly female in English-speaking countries but predominantly male in Italy. Similarly, names like Yuki (Japanese), Sasha (Russian), or Robin (English) can be associated with either gender depending on cultural context.
This tool supports country-specific predictions to account for these cultural differences. When you know the geographic region of your contacts, selecting the appropriate country code will produce more accurate results. For global campaigns, consider segmenting your contact list by region first, then running gender predictions with the corresponding country code for each segment.
Gender prediction should be used as one signal among many in your marketing strategy. The probability score tells you how confident the prediction is, and you should respect that uncertainty. For names with low confidence scores (below 70%), it is better to use gender-neutral language rather than risk an incorrect assumption.
Always pair gender data with other personalization signals like job title, industry, past behavior, and stated preferences. The most effective marketers use gender prediction to enhance their outreach, not as the sole basis for messaging decisions. When used thoughtfully alongside other data points, name-based gender prediction becomes a powerful tool for creating more relevant, respectful, and effective communications.
Accuracy depends on the name and region. Common names like James or Maria typically show 95% or higher probability. Less common or gender-neutral names may return lower confidence scores. The tool always shows the probability percentage so you can judge the reliability of each prediction. Names with a probability below 70% should be treated as uncertain.
You can enter up to 10 names at a time by separating them with commas. The free tier of the Genderize.io API allows 100 requests per day. Each batch of names counts as a single request, so batch mode is the most efficient way to process multiple names.
Names can have different gender associations in different cultures. For example, Andrea is typically female in English-speaking countries but male in Italy. Selecting a country code narrows the prediction to naming patterns specific to that region, which produces more accurate results when you know where your contacts are located.
Yes, this tool is completely free. It uses the Genderize.io API which provides 100 free requests per day without requiring an API key. For most individual users, this daily limit is more than sufficient. If you hit the rate limit, the tool will let you know and you can try again the next day.
Gender-neutral names like Alex, Jordan, or Taylor will typically return a prediction with a lower probability score. The tool shows a confidence level indicator: High (above 90%), Medium (70-90%), or Low (below 70%). For names with low confidence, the result card appears in gray instead of blue or pink, signaling that the prediction is uncertain and you should use gender-neutral language for that contact.