NBFS field notes
NBFS field notes
Identify customer gender using first names. Automatically enrich profiles with gender data to create
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Collected facts
Stop sending generic marketing. This app uses Gender-API.com to accurately predict customer gender based on their first name. Once identified, gender data is synced directly to Shopify customer metafields and can be used in Klaviyo, Mailchimp, Shopify Flow, etc. This allows you to build gender-specific segments in Shopify, ensuring your customers see the products most relevant to them. Fast, secure, and GDPR compliant.
Structured evaluations
Rate only the dimensions you experienced. Use N/A when an axis does not apply.
Evaluations are read-only after graduation or archival.
| Metric | Median | Responses | Distribution 1→5 |
|---|---|---|---|
| Setup & Ease of Use | — | 0 | 0 / 0 / 0 / 0 / 0 |
| UX/UI | — | 0 | 0 / 0 / 0 / 0 / 0 |
| Listing Accuracy | — | 0 | 0 / 0 / 0 / 0 / 0 |
| Reliability & Performance | — | 0 | 0 / 0 / 0 / 0 / 0 |
| Support | — | 0 | 0 / 0 / 0 / 0 / 0 |
| Value for Money | — | 0 | 0 / 0 / 0 / 0 / 0 |
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From the developer
Developer content stays separate from collected facts and user evaluations.
Discussions · 0
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External NBFS sticker
The SVG updates when this app graduates or is archived. It is a listing marker, not a quality certification.