BOTIM account gender and age detection｜头像与用户画像识别

Business Pain Points

Only knowing whether the mobile phone number has activated BOTIM does not allow us to further understand the account information and audience characteristics. When the customer list lacks nicknames, avatars, and basic portrait tags, it is not conducive to conducting crowd structure statistics and differentiation analysis.

Customer data lacks account information such as BOTIM nickname and avatar
Unable to understand user basic profile characteristics based on existing numbers
Manually viewing account avatars one by one is very inefficient.
Large batches of numbers are difficult to classify by gender and age
The lack of structured portrait fields makes it inconvenient to continue filtering and analysis.

Solutions

On the basis of identifying accounts, BOTIM account gender and age detection further organizes nicknames and avatar links, and identifies skin color, hair color, gender and age through currently available avatar visual signals, providing reference tags for audience analysis.

Account information inquiry:Get the BOTIM nickname and avatar corresponding to the number
Avatar link arrangement:Returns the account avatar link that can be obtained during detection
Appearance feature recognition:Identify skin color and hair color reference results based on avatar
Gender and age identification:Output gender and age or age range labels
User portrait export:Unify the export of number, information and portrait fields

Core Features

BOTIM activation status identification

Determine in real time whether the mobile phone number has a BOTIM account opening signal and quickly organize the platform user numbers.

Multidimensional account information query

Returns BOTIM nickname, avatar link and other currently available account information based on product type.

Intelligent recognition of avatar features

Identify user portrait reference tags such as skin color, hair color, gender and age through available avatar signals.

Structured result classification export

The corresponding relationship between the original number and the detection field is retained to facilitate continued screening, statistics and internal management.

International number batch testing

Supports batch uploading of mobile phone numbers from different countries and regions to meet the centralized testing needs of large overseas customer lists.

Quick classification of target users

Users are grouped according to detection results such as account opening status, gender, age, and appearance characteristics.

Our Clients

Cross-border E-commerce Sellers

Accurately filter overseas buyer numbers to increase WhatsApp reach rate

Private Domain Operation Teams

Filter invalid or banned numbers to focus resources on cultivating high-quality customers.

Outbound Call & Customer Service Teams

Verify number validity in advance to prevent cost waste from calling invalid numbers.

Social Media Operation & Advertising Teams

Target ads based on active users to increase conversion rate.

Digital Planet — Fully Automated Screening for Easier Precision Marketing

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