ConsumerLocalization

Gendered Localization

Choose a likely gendered grammar form in languages that need one when no preference is declared.

Start with 500 free creditsDocumentation

Email gender · 1 credit per lookup · no monthly fee

Spanish greeting

Bienvenidomasc.
BienvenidaChosen · F

The problem

Many languages inflect greetings, titles, and adjectives by gender: bienvenido versus bienvenida, and picking the wrong form makes even a well-translated message read as clumsy machine output rather than something written for a real person.

With Encrata

Use the inferred gender and country together to choose the right grammatical form in gendered languages, and fall back to a neutral construction whenever confidence is low or the language offers one. It is a small touch that makes localised copy read naturally, applied carefully so a low-confidence guess never overrides a user's own choice.

How it works

1

Send the address

Call the gender endpoint with just an email address; the name in the local part is enough to work from.

2

We infer the verdict

Encrata reads the name embedded in the address and returns a likely gender and country with a confidence score.

3

Use it with care

Segment, personalise or enrich on the verdict, always keeping neutral fallbacks and letting people override. One credit per lookup.

One call, structured answer

Gendered Localization runs on the email gender lookup at 1 credit per lookup. Same API key, same JSON shape as every other Encrata lookup.

  • A single male / female / unknown verdict with a 0-100 confidence score
  • Country signal included, so ambiguous names resolve by region
  • 1 credit per lookup, with free repeats for six months
  • unknown is returned honestly when a name is ambiguous, never a guess
Terminal
curl -X POST "https://app.encrata.com/api/email/gender" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"email": "jane.doe@example.com"}'
response.json
{
  "email": "jane.doe@example.com",
  "gender": "female",
  "country": "US",
  "probability": 98,
  "credits": 1
}

Pick the right grammatical form

In gendered languages, use the inferred gender and country together to select the right grammatical form, bienvenido or bienvenida, and fall back to a neutral construction whenever confidence is low or the language provides one. Keep the choice overridable by any preference the user has set, so localisation reads naturally without pinning a label to anyone.

Copy that reads like a person

The effect is copy that reads like it was written for a person rather than assembled by a machine, a small touch that carries disproportionate weight in markets where the wrong form is immediately jarring. Where a language offers a genuinely neutral phrasing, prefer it, it sidesteps the inference entirely and is often the most respectful option regardless of confidence.

More email gender use cases

View all
jane.doe@acme.com
+ Gender fieldFemale · 98%

Gender Enrichment

Add a probabilistic gender field to lead and customer profiles when users have not provided one

CRMEnrichment

Newsletter reach

58%
42%
Female 58%Male 42%

Audience Analytics

Understand campaign reach by inferred gender in aggregate across lists, subscribers, and event signups

MarketingAnalytics
Women's collection12,480
Men's collection9,020
2 segments built

Marketing Segmentation

Tailor content, product recommendations, or creative tests where gender relevance is legitimate

EcommerceMarketing
Start with 500 free credits
$curl https://encrata.com/api/agent/lookup -H "Authorization: Bearer YOUR_API_KEY" -d '{"e": "satya@microsoft.com"}'