AdvertisingAnalytics

Ad Performance Analysis

Compare which campaigns resonate across inferred demographic groups without unfair exclusion.

Start with 500 free creditsDocumentation

Email gender · 1 credit per lookup · no monthly fee

Campaign ACTRF ↑ 3.1%
Campaign BCTRM ↑ 2.4%

Compare resonance, never exclude

The problem

A campaign converts at 3% overall, but that single number hides everything. You cannot tell whether the creative landed with one group and fell flat with another, so every optimisation is a shot in the dark and you keep spending on ads that only half your audience responds to.

With Encrata

Break performance down by inferred gender at the aggregate level and see which creative resonates with which group, then reallocate budget toward what works. The goal is to understand and improve resonance, never to unfairly exclude, so the analysis stays at the cohort level and informs the creative, not the eligibility.

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

Ad Performance Analysis 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
}

Split the number that hid everything

Join your campaign results to inferred gender and analyse performance by cohort: which creative converts with which group, where spend is landing, and which segments a single blended number was hiding. Keep the analysis at the aggregate level and pointed at the creative, the goal is to understand resonance and reallocate budget, never to gate who is eligible to see an ad.

Budget follows resonance

The blended conversion rate hides exactly the insight you need, and splitting it usually reveals that one creative carried the campaign for one group while another was dead weight. Act on it by improving and reallocating, not excluding, that distinction is both the ethical line and, in most jurisdictions, the legal one, and staying on the right side of it keeps the analysis an asset rather than a liability.

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"}'