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Gender API ‑ Determine gender logo

Gender API ‑ Determine gender

Develop by Ozan Soft

$9.99

/ Month
Free plan available

Predict customer gender to improve marketing and segmentation.

Real-time analytics
Customer segmentation
Personalized marketing
Product targeting
Gender prediction
Claim Offer
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About Gender API ‑ Determine gender

Launched Sep 16, 2024

Categories

Analytics Marketing - Other

Built by Ozan Soft

Email :

[email protected]

Address

tunahan mah. üç şehtler cad. 46499 ada aktürk sitesi, 18 B blok Daire:9, ETİMESGUT, 06824, TR

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Introduction Video

Description

Auto-detect customer gender to enhance marketing, analytics, and segmentation for your store.

Gender API automatically predicts the gender of new and existing customers based on their names or E-Mails. This helps merchants gain a deeper understanding of their customer base, create personalized marketing campaigns, and optimize product offerings. By providing gender insights, merchants can improve customer segmentation and enhance overall sales performance, making their store more data-driven and efficient.

Gender API automatically predicts the gender of new and existing customers based on their names or E-Mails. This helps merchants gain a deeper understanding of their customer base, create personalized marketing campaigns, and optimize product offerings. By providing gender insights, merchants can improve customer segmentation and enhance overall sales performance, making their store more data-driven and efficient. more
  • Automated gender prediction for new and existing customers
  • Enhance customer segmentation with gender insights
  • Find the names of your customers without a name from their email.
  • Integrate real-time gender data into your analytics
  • Improve product targeting based on customer demographics

Pros

  • Automated gender prediction for new and existing customers
  • Enhances customer segmentation with gender insights
  • Enables personalized marketing campaigns with ease
  • Integrates real-time gender data into analytics
  • Improves product targeting based on customer demographics
  • Helps in gaining a deeper understanding of the customer base
  • Optimizes product offerings
  • Makes the store more data-driven and efficient

Cons

  • Accuracy depends on the name data, which may not always be reliable
  • Ethical concerns regarding gender prediction and privacy
  • May reinforce gender stereotypes in marketing
  • Potential for misclassification leading to incorrect customer insights
  • Might not account for non-binary or gender-fluid customers
  • Integration complexities with existing analytics tools

Key Features

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