Identify the characteristic information behind WhatsApp customer avatars, this AI method is smarter

This article will provide an in-depth explanation: What identifiable characteristic information is hidden in WhatsApp customer avatars? How does the Digital Planet platform use AI to extract this information in a structured manner and use it for business processes?

As a highly active instant messaging platform worldwide, WhatsApp has become the core channel for enterprises to conduct private domain operations, customer management, and sales conversion. However, in the absence of structured user information, it is difficult to meet the growing needs of enterprises by relying solely on mobile phone numbers.Customer identification and portrait managementneed.

Actually,The most intuitive and visible information for each account in WhatsApp isUser avatar. Although this picture is small, it carries rich social, behavioral, identity, preference and other information. passAI technology systematically analyzes and identifies avatars, and enterprises can supplement the "user tags" that cannot be provided in the traditional number dimension, greatly improving operational accuracy.

This article will explain in depth:What identifiable characteristics are hidden in WhatsApp customer avatars? How does the Digital Planet platform use AI to extract this information in a structured manner and use it for business processes?

 

WhatsApp avatar = social intent + visual label + behavioral signal

Many people think that the avatar is just a picture of the user"Exhibition picture", but in the eyes of AI recognition technology, the avatar is a signal combination containing multi-dimensional features, including at least the following five types of extractable information:

1. Social initiative signals

The type of avatar the user chooses, whether it is clear, whether the face is exposed, and whether it is changed frequently, all represent their attitude towards social interaction.

Clear portrait of real person → High social engagement

Blank avatar/Landscape → Weak willingness to express socially

2. Identity tag hints

Gender, age, professional characteristics, dressing style, selfie/Environmental background, these can all be clues to identity judgment.

Selfie+Young faces → High likelihood of young female customers

office background+Shirt → Potential B-end users or sales staff

3. Judgment of trust and authenticity

Whether to useAI diagram? Is the Internet celebrity picture stolen? Is the image blurry? Do you want to duplicate avatars in batches? These directly affect whether the account is trustworthy.

4. Judgment of marketing potential

The presentation style of the avatar can reflect its content preferences, emotional expression, community participation, etc., and is particularly critical for marketing and content push.

5. Risk warning information

Whether there is any objectionable content, watermarked advertisements, or non-personal identification in the avatar may indicate that the account is a virtual account, a marketing account, or an account number.

 

How to use Digital PlanetDoes AI recognize these characteristics?

As the leading product of the global number screening platform,Digital Planet can not only identify the registration status, activity, virtual segment and risk level of mobile phone numbers, but is also the first to launch it in the industryAI avatar recognition module, achieved fromThe key transition from "number identification" to "user identification".

Core identification capabilities include:

Avatar type recognition

The system can determine that the avatar is one of the following types:

lReal selfie

lCartoon/anime characters

llandscape/animals/still life pictures

lenterpriseLogo

lBlank avatar

lGroup photo or blurred image

Image quality rating

Identify whether the image is clear, high-definition, and reasonably cropped, and output"Image quality score".

Gender and age prediction

The AI ​​model predicts the gender and age group of the person corresponding to the avatar based on facial recognition and image features.

Reality score

The system determines whether the avatar isThe AI-generated picture determines whether it is a common Internet picture or a stolen picture, and outputs an "authenticity score".

Risk level output

Combining the above dimensions, generate avatars for each customerComprehensive score of "Recommended use/Use with caution/Recommended exclusion".

Customer preference tag generation

Such as: highly socially active users/ Business-oriented users / Cold profile users / Potential high-click groups, etc.

 

Application scenario analysis: How to put the avatar recognition results into the business?

● Private domain CRM customer portrait completion

Combine the avatar recognition field with the existing customer registration status/Activity/Source channels and other information are integrated to establish multi-dimensional customer files.

● Customer service system allocation logic optimization

Such as: real person avatar+Clear+Female → Assign customer service to the highest conversion group, cartoon avatar → Assign robots for preliminary screening.

● Advertising remarketing group selection

identify"Cartoon avatar + female + 20-30 years old" users are targeted for advertising in specific categories, forming a closed loop of content matching.

● Intelligent filtering before recruiting people from the community

set up"Image clarity + authenticity score + avatar type" is the entry threshold to avoid the proliferation of cold accounts and fake accounts in the group.

● Third-party number resource verification

Detect whether there are a large number of duplicate avatars in the imported mobile phone number resources/AI avatar, identifies the quality of data sources.

 

Sample output fields (can be imported into any system)

lMobile phone number (including country code)

lAvatar type (selfie/cartoon/landscape…)

lGender prediction (male/female/unsure)

lAge range forecast (youth/middle-aged/elderly)

lImage quality rating (0–100)

lAuthenticity Rating (0–100)

lRecommended usage level (recommended/use with caution/exclude)

lUser preference tags (automatic marking)

 

Why choose Digital Planet for avatar feature recognition?

lMobile phone number filter+Integrated avatar recognition, to avoid data fragmentation

lStandard field output, can be directly accessedSCRM, advertising platform, group control system, AI recommendation system, etc.

lStrong adaptability between global number segment and image style, suitable for Southeast Asia/Multicultural areas such as the Middle East/South America

lsupportAPI call, adapting to real-time identification and system docking requirements

lSystem is stable and scalable, daily millions of avatar recognition tasks without performance bottlenecks

 

digital planetis a world-leading number screening platform that combines Global mobile phone number segment selection, number generation, deduplication, comparison and other functions. It supports customers worldwideBatch numbers for 236 countriesScreening and testing services, currently supports40+ social and apps like:

whatsapp/line, twitter, facebook, Instagram, LinkedIn, Viber, zalo, binance, signal, skype, DISCORD, Amazon, Microsoft, Truemoney, Snapchat, kakao, Wish, GoogleVoice, Botim, MoMo, TikTok, GCash, Fantuan, Airbnb, Cash, VKontakte, Band, Mint, Paytm, VNPay, Moj, DHL, Okx, MasterCard, ICICBank, Byb Wait.

The platform has several features including Open filtering, active filtering, interactive filtering, gender filtering, avatar filtering, age filtering, online filtering, precise filtering, duration filtering, power-on filtering, empty number filtering, mobile phone device filteringwait.

Platform provides Self-screening mode, generation screening mode, fine screening mode and customized mode, to meet the needs of different users.

Its advantage lies in integrating major social networking and applications around the world, providing one-stop, real-time and efficient number screening services to help you achieve global digital development.

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