How to identify WhatsApp avatar?

This article will focus on "AI avatar recognition", combined with the avatar recognition capabilities of the Digital Planet platform, to explain the value, principle and implementation path of this new identification method.

As private domain operations and social marketing continue to deepen,WhatsApp has become an important platform for companies to acquire customers, reach users, and build trust. But at the same time, companies are also facing an extremely critical issue that has been ignored for a long time:How to quickly identify oneThe real user identity behind WhatsApp accounts?

The traditional method only relies on mobile phone number and status detection, but inIn WhatsApp, a social scene where “avatars are visible but identities are hidden”,Customer's avatar informationIt often contains key characteristics such as user gender, age tendency, activity level, social preferences and even cultural background.

And now, with the help ofAI capabilities,by identifyingWhatsApp user avatar, companies can further improve customer portraits, identify fake users, optimize customer service strategies, and even improve conversion rates and operational efficiency.

This article will focus on"AI avatar recognition" unfolds and combinesAvatar recognition capabilities of Digital Planet Platform, explain the value, principle and implementation path of this new identification method.

 

WhyIs "avatar recognition" becoming a new entrance to customer identification?

The biggest difference between WhatsApp and traditional CRM data is:You probably only have a mobile phone number and an avatar picture.

At this time, if the company can extract the following information through the avatar, it can make more accurate judgments before adding users, group sending, customer service assignment, and group screening:

lIs it a real person avatar or a cartoon, landscape, or blank picture?

lIs it male or female?

lAt what stage does your age fall roughly?

lexistsTraces of AI-generated or non-personal photos?

lAre consistent corporate avatars used (e.g.BD, agent users)?

lIs it a fake avatar or a fan-scamming avatar?

This kind of identification results can help you judge:

lIs this customer worth investing customer service resources into?

lIs it possible that they are customers of similar tags (such as agents, potential complaining users)?

lAre they high-quality individual users?

lIs there marketing value or social buzz?

Avatar recognition is how you identify customers’ identities and behavioral tendencies"First Perception".

 

Pain points of traditional manual recognition

Many community operators will try to manually judge avatars, such as"If it looks like a girl, label it as female" and "If the avatar is a landscape picture, add it to the list of inactive customers", but there are many problems in doing so:

lSubjective error is huge: Everyone’s judgment standards are different

lExtremely inefficient: I can still read dozens of items, but I can’t read tens of thousands of them at all.

lUnable to be structured: Labels are not unified and difficult to import into the system

lUnable to perform subsequent analysis: No dimensions to track

andAI recognition technology can complete avatar image recognition, labeling, and feature extraction within milliseconds, and uniformly output structured fields for system calls.

 

digital planetIntroduction to AI avatar recognition capabilities

Digital Planet PlatformOn the basis of the original global mobile phone number detection system, a newAI avatar recognition module, support forMulti-dimensional analysis and feature identification of WhatsApp user avatars.

Core identification dimensions include:

1.Avatar type recognition

Determine whether it is a real person avatar, cartoon avatar, landscape, no avatar, corporatelogo, group photo, etc.

2.gender orientation identification

passThe AI ​​model recognizes gender characteristics in images and initially determines whether the user is male, female, or uncertain.

3.Approximate age range

Combining facial features and image style, it is inferred that the avatar belongs to a young, middle-aged or elderly user.

4.Avatar authenticity score

Identify whether it isAI-synthesized avatars, Internet pictures, and fake faces may have the risk of content fraud.

5.Image quality and stability score

Analyze whether the avatar is clear, the frequency of avatar changes, and whether the image style is stable to determine the user's operational maturity.

6.Style characteristics and industry labels

For example: avatars using suits, selfie lenses, pet pictures, shopslogo, etc., used to assist industry inference.

 

Usage process: How to implement avatar recognition?

Step 1: Extract avatar link

Obtain avatar from collected mobile phone numberURL (WhatsApp supports obtaining avatar URL), or integrate API calls in the platform to automatically extract it.

Step 2: Batch upload orAPI interface access

Upload the avatar data to the Digital Planet System, or viaAPI batch call identification module.

Step 3: Automatic recognition by the system

The AI ​​module automatically completes multiple recognition tasks such as image classification, gender judgment, and authenticity scoring.

Step 4: Structured result output

Each user avatar will output the following fields:

lAvatar type

lgender label

lage tendency

lIs it recommended to use

lrisk score

lRecommended tags (such as: individual users/Agent Users/Business Users/Low Quality)

Step 5: Import and use

Structured recognition results can be directly imported into your private domain system,SCRM platform, customer pool management system, group control system or customer service allocation module serve as the basis for customer priority and stratification judgment.

 

Practical analysis of application scenarios

● Hierarchical access to private domain operations

Identify the avatar asUsers with "real person selfies + women + high definition" are set to focus on following up customers to increase conversion rates.

● Automatic review of communities before joining the group

Filter out empty avatars, landscape pictures,AI avatars and other "cold accounts" or risk users are used to ensure the quality of the group.

● Intelligent distribution of customer service system

Real person avatar+Young users are assigned to active agents, and users with corporate logos can identify dedicated personnel for B-side customers.

● Data cleaning and label supplementation

Complete the portrait dimension for the original mobile phone number data to assist user classification, circulation and personalized message push.

● Fake user filtering

Identify heavy useUsers whose AI avatars or images are repeated or inconsistent with the data will be blocked in advance to avoid complaints or malicious behavior.

 

Why choose Digital Planet Platform for avatar recognition?

lGlobal mobile phone number filtering+Integrated processing of avatar recognition, to avoid data fragmentation

lStructured output fields, standardized labels, adapt to anyCRM system or script system import

lThe recognition model is updated frequently, supporting new avatar styles,AI image confrontation technology

lSupport batch processing andAPI calls to adapt to enterprise-level deployment needs

lCan be used in conjunction with user activity, registration status and other fields to form a global user identification portrait

A customer on WhatsApp is not just a number, but a real person with a social identity, behavioral characteristics and visual presentation. The avatar is the first "window" through which you perceive this person.

Start today with the help ofdigital planetAI avatar recognition ability, allowing your customers to filter fromFrom "invisible" to "clearly seen", from "general crowd" to "accurate portrait", every contact is based on true understanding.

An avatar is not just an avatar, it is the starting point for user portraits and the entrance to private domain trust. useAI recognition makes recognition competitive.



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.

You can find it on the official channelt.me/xingqiuproGet more information and verify the identity of business personnel through the official website. official businesstelegram:@xq966

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