SS: Customer Gender Detector

Develop by ScreenStaring

$10-$25

/ Month

30 Days Free Trial

Detect gender of current & future customers by name & region

Detect customer gender

Add gender tags

Export gender data

Automatic gender detection

Filter by gender

About SS: Customer Gender Detector

Launched Nov 08, 2015

Built by ScreenStaring

Email :

[email protected]

Address

21 West St., New York, NY, 10006, US

Website Privacy policy

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Description

Detect the gender of current and future customers by their name and region

Gender is one of the most basic components you can use to understand who your customers are and how they use your products. It is a key component in developing a solid marketing strategy, and a good marketing strategy can lead to an increase in sales. Customer Gender can detect the gender of current and future customers. The detected gender is is added to customer records in Shopify as a tag and metafield, which can then be used to better tailor your site's content and marketing.

Detect the gender of current and future customers by their name and region
Gender is added to customer records in Shopify as a tag & metafield
Export customer gender and probability to a spreadsheet
Automatically import new customers and detect their genders
Filter customers in the Shopify Admin by gender

Pros

Helps in understanding customer demographics by providing gender information
Gender data can tailor marketing strategies more effectively, potentially increasing sales
Automatically adds gender data to Shopify customer records as tags and metafields for easy access
Exports gender and probability data to spreadsheets for further analysis
Automatically imports new customers and detects their gender, streamlining the data collection process
Enables filtering customers by gender in the Shopify Admin, which helps in targeted campaigns

Cons

Accuracy of gender detection may be biased or limited by name and region assumptions
May not account for non-binary or gender non-conforming individuals, which could lead to exclusion
Relies heavily on names and regions, which may not always provide accurate or complete data
Privacy concerns regarding the collection and usage of gender data