In the current context of increasingly fierce competition in private domain operations, many enterprises have fallen into the dilemma of "high investment but poor results": customers are not interested in the pushed content, the activity participation rate is low, and the customer retention rate continues to decline. In fact, the core problem lies in the lack of clear user portraits, which makes it impossible to accurately grasp customers' needs and preferences. WhatsApp screening is precisely the key tool for creating accurate user portraits. Through professional WhatsApp screening, enterprises can extract core information such as customers' regions, needs, and consumption capabilities from a large number of accounts. By using the ITG Global Screening Tool to conduct multi-dimensional WhatsApp screening, they can further integrate data, refine labels, and build three-dimensional and accurate user portraits. This enables private domain operations to shift from "blind trial and error" to "targeted efforts", completely getting rid of the dilemma of having no direction.
Many enterprises only record customer information through "nicknames and remarks" and fail to tap into in-depth data through WhatsApp screening. As a result, user labels remain at basic levels such as "gender and region", making it impossible to determine customers' "consumption preferences and pain points of needs".
Case: A clothing brand in its private domain pushed "summer dresses" uniformly to all customers without considering that some customers preferred "casual style" and others preferred "commuter style". In the end, the conversion rate was less than 3%, far below the industry average.
In the private domain account list without WhatsApp screening, "inactive accounts" and "low-intention customers" are mixed in. Enterprises invest human and material resources in maintenance but fail to generate value, reducing the overall operational efficiency.
Data: A survey shows that in the private domain account pool without WhatsApp screening, the proportion of invalid customers exceeds 40%. These customers not only do not participate in activities but may also block enterprise messages, affecting the account weight.
Due to the lack of "interaction data and demand feedback" obtained through WhatsApp screening, enterprises cannot promptly grasp changes in customers' needs. The launched products or services are disconnected from customers' expectations, resulting in customer loss.
Case: A maternal and child store's private domain did not analyze customers' needs through WhatsApp screening and continued to push "newborn products". However, some customers' children had entered the toddler stage, leading to a mismatch in needs. The customer loss rate reached 25% within 3 months.
Through multi-dimensional WhatsApp screening, ITG Global Screening extracts customer data from four major dimensions: "basic attributes, demand preferences, consumption capabilities, and interaction behaviors". It helps enterprises create clear and three-dimensional user portraits and provides a precise direction for private domain operations.
Through the mobile phone number attribution and login IP address associated with WhatsApp accounts, screen the "city, business district, and street" where customers are located, such as marking "Jing'an District CBD Business Circle, Shanghai" and "Around Universities in Tianhe District, Guangzhou".
Combine map data to supplement "regional consumption characteristics", such as "customers in high-end residential areas" and "young groups in university towns", providing a basis for subsequent localized operations.
Screen the "account registration duration, gender, and age range" (judged by account nicknames, avatars, and interactive content). Exclude "inactive accounts registered for more than 3 years without interaction" and retain effective customers such as "active young groups" and "middle-aged consumption main force".
Case: A beverage brand found through WhatsApp screening in this dimension that 60% of the customers in its private domain were "18-25-year-old customers in university towns". Later, it launched "student-exclusive discounts", and the activity participation rate increased by 50%.
Analyze WhatsApp chat records, group speeches, and Moments content to screen "product keywords and pain points of needs" mentioned by customers, such as "skincare products for sensitive skin", "furniture for small apartments", and "workplace English training".
Mark "high-frequency consultation content". For example, if customers repeatedly ask about "after-sales warranty policies", it indicates high attention to product quality. Subsequent operations can focus on emphasizing quality assurance services.
According to the "types of links clicked and activities participated in" by customers, classify and mark interest labels such as "sports enthusiasts", "beauty experts", and "parent-child families" to ensure that the pushed content matches customers' interests.
Case: A bookstore found through WhatsApp screening that 30% of customers frequently mentioned "suspense novels". Later, it pushed information about new suspense novels, and the book repurchase rate increased by 35%.
Connect to the enterprise's CRM system to screen customers' "past order amounts, purchase frequency, and average customer spending", and mark "high-consumption customers (average customer spending over 1,000 yuan)", "repeat customers (purchasing ≥5 times a year)", and "potential customers (single consumption of 300-500 yuan)".
Analyze "purchased brands and product grades" to judge customers' consumption preferences, such as "prefer imported brands" and "focus on cost-effectiveness".
Based on AI algorithms and combined with customers' "interaction frequency and urgency of needs", predict customers' future consumption potential. For example, "customers who frequently consult high-end products recently are marked as high-potential conversion customers".
Case: A luxury store identified 200 "high-consumption + high-potential" customers through WhatsApp screening and pushed exclusive new product preview activities. The transaction rate reached 40%, far higher than that of the ordinary customer group.
Count customers' "message reply speed, number of activity participations, and link click frequency", and mark "highly active customers (interacting ≥3 times a week)" and "low-active customers (interacting <1 time a month)".
Analyze customers' "preferred interaction methods", such as "like to participate in lottery activities" and "more willing to receive coupons", to optimize subsequent operation forms.
Screen customers' "feedback on marketing content". For example, those who "actively consult activity details" are marked as "high-intention", and those who "ignore pushes multiple times" are marked as "low-intention". Adjust operational strategies accordingly.
Case: A gym found through WhatsApp screening that "highly active customers" were more inclined to participate in "group class experience activities". Later, it increased the promotion of group classes, and the customer store visit rate increased by 25%.
Log in to the ITG Global Screening background, upload the private domain WhatsApp account list, and select the four major dimensions of "basic attributes, demand preferences, consumption capabilities, and interaction behaviors" for screening.
The system automatically extracts account data and generates initial user labels, such as "Chaoyang District, Beijing + 25-35 years old + sensitive skin + high consumption + high activity".
Combine the enterprise's own customer data (such as order records and member information) to supplement and improve user labels, eliminate duplicate and incorrect labels, and ensure the accuracy of portraits.
Stratify customers, such as "high-value customers (high consumption + high activity + high demand)", "potential customers (medium consumption + medium activity + clear demand)", and "to-be-activated customers (low consumption + low activity + potential demand)".
Formulate operational strategies for customers with different portraits: push exclusive benefits and one-on-one services to "high-value customers"; push limited-time discounts to "potential customers" to stimulate conversion; push interesting content to "to-be-activated customers" to increase activity.
Case: A beauty brand created accurate portraits for 50,000 private domain customers through the three-step operation. It pushed "exclusive trial kits for sensitive skin" to "sensitive skin + high-potential" customers and "exclusive discounts for anti-aging serums" to "mature skin + high-value" customers. The overall private domain sales volume increased by 60%.
A cross-border home furnishing brand had no direction in private domain operations. It pushed the same products to all customers, with a conversion rate of less than 2% and a customer loss rate of over 30%. The operation team was trapped in the dilemma of "not knowing what customers want".
Through WhatsApp screening, extract customer labels such as "region (new first-tier cities)", "demand (furniture for small apartments)", "consumption capability (mid-to-high-end)", and "interaction (like to watch product installation cases)".
Build a core user portrait of "new first-tier cities + small apartment demand + mid-to-high-end consumption + focus on installation cases".
Push "custom furniture for small apartments + installation tutorial videos + limited-time discounts" to customers with the core portrait, and the activity conversion rate increased to 18%.
Push "home decoration inspiration pictures" to "to-be-activated customers" to increase activity, and the customer loss rate dropped to 8%. The monthly sales volume of the private domain increased by 120%.
The core of private domain operations is "customer-centric", and creating accurate user portraits is the prerequisite for achieving this goal. User portraits without the support of WhatsApp screening are like "a blind person touching an elephant", making it impossible to accurately grasp customers' needs. By using the ITG Global Screening Tool to conduct multi-dimensional WhatsApp screening, enterprises can extract core information from massive data and build clear and three-dimensional user portraits, ensuring that every step of private domain operations has a clear direction.
For enterprises still confused in private domain operations, they may start with WhatsApp screening and use the ITG Global Screening Tool to create accurate user portraits and formulate targeted operational strategies. It is believed that as long as they accurately grasp customers' needs, private domain operations can get rid of difficulties and achieve a transformation from "inefficient investment" to "efficient growth", becoming the core engine of enterprise business growth!
ITG Global ScreeningIt is a world-leading number screening platform that combines
Global mobile phone number segment selection, number generation, deduplication, comparison and other functions. It supports global customersBulk numbers from 236 countriesFiltering and testing services, currently supportedMore than 40 social and apps, such as: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, Bybwait.
The platform has several features, includingOpen filtering, active filtering, interactive filtering, gender filtering, avatar filtering, age filtering, online filtering, accurate filtering, duration filtering, power-on filtering, empty number filtering, mobile device filteringwait.
Platform providesSelf-sieve mode, sieve mode, fine-sieve mode and custom mode, to meet the needs of different users.
Its advantage lies in the integration of major social 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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