MarketingAnalytics

Audience Analytics

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

Start with 500 free creditsDocumentation

Email gender · 1 credit per lookup · no monthly fee

Newsletter reach

58%
42%
Female 58%Male 42%

The problem

You can measure opens, clicks, and revenue, but you cannot tell who your audience actually is. Without a demographic read, you are optimising campaigns blind, guessing whether the newsletter skews one way or the other and never really knowing which content resonates with which group.

With Encrata

Run your list through the gender endpoint and report on the aggregate: what share of your audience is likely female, male, or uncertain, and how that splits by campaign. Used at the cohort level rather than the individual, it turns a flat subscriber count into a demographic profile you can actually plan against.

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

Audience Analytics 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
}

Read the room, in aggregate

Run the list through the endpoint in a batch and report at the cohort level: what share of the audience is likely female, male, or uncertain, sliced by campaign, segment, or channel. Keep the analysis aggregate, you are describing the shape of a group, not tagging individuals, so the uncertain bucket stays visible rather than being force-fit into one side.

Planning on a real profile

Once the profile is in front of the team, content decisions stop being guesswork: you can see which newsletters skew which way and which topics pull a more balanced read. Refresh the analysis periodically as the list grows, and treat the country signal as a bonus dimension, audience demographics and geography together sharpen planning far more than either alone.

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
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

Respondents

Skew detected

72% one group · rebalance before you run

Research Sampling

Balance respondent groups or detect demographic skew before running interviews, polls, or user studies

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