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Digital Planet
Digital Planet
May 1, 2026 · Industry Insights

How the KOX Framework Unlocks DTC Growth for FMCG Brands in the Marketing 3.0 Era

The article analyzes the shift to Marketing 3.0, outlines the four core pain points of Chinese FMCG brands, and presents the KOX collaborative model—user segmentation, tiered benefits, persona building, and algorithm empowerment—supported by the DRCM digital platform and real‑world case studies to guide sustainable DTC transformation.

Algorithm EmpowermentDRCMDTC
0 likes · 25 min read
How the KOX Framework Unlocks DTC Growth for FMCG Brands in the Marketing 3.0 Era
DataFunSummit
DataFunSummit
Oct 31, 2023 · Big Data

Customer Data Platform (CDP) at Qunar Travel: Business Background, Construction Practice, Applications, and Future Outlook

This article details Qunar Travel's multi‑year development of a Customer Data Platform (CDP), covering its business motivations, architectural design, tag‑based data processing, real‑time and offline pipelines, user segmentation, marketing automation, performance optimizations, and future directions for model‑driven personalization.

Big DataReal-time analyticsTagging
0 likes · 18 min read
Customer Data Platform (CDP) at Qunar Travel: Business Background, Construction Practice, Applications, and Future Outlook
DataFunSummit
DataFunSummit
Jul 9, 2023 · Big Data

Data Governance and Application for Behavior Analysis: Modeling Methods, Architecture, and Practical Cases

This article explains how a data‑ecosystem team governs and applies behavior‑analysis data by describing common analysis scenarios, data‑warehouse modeling methods and their pros and cons, the concepts and overall architecture of behavior‑centric analytics, key system components, and several concrete analysis examples such as retention, funnel and path analysis.

Big DataColumnar StorageUser Segmentation
0 likes · 12 min read
Data Governance and Application for Behavior Analysis: Modeling Methods, Architecture, and Practical Cases
Zhuanzhuan Tech
Zhuanzhuan Tech
Jul 5, 2023 · Operations

Design and Implementation of a Fine-Grained C2B Operation Platform

This article describes the background, objectives, module division, system design, technical challenges, and solutions of a fine‑grained C2B operation platform that uses user profiling, precise targeting, and Redis sharding to improve conversion rates and ROI.

C2BFine-grained OperationsMarketing Automation
0 likes · 7 min read
Design and Implementation of a Fine-Grained C2B Operation Platform
Qunhe Technology User Experience Design
Qunhe Technology User Experience Design
Jun 9, 2023 · Product Management

How Effective Onboarding Guides Boost User Experience and Retention

This article explains why a well‑designed onboarding guide system is essential for product success, outlines five key moments to introduce guidance, describes user segmentation methods, and presents practical strategies and principles for creating smooth, low‑cost user experiences that increase satisfaction and loyalty.

OnboardingProduct DesignUX strategy
0 likes · 10 min read
How Effective Onboarding Guides Boost User Experience and Retention
Baidu MEUX
Baidu MEUX
May 10, 2023 · Product Management

How Fine‑Grained Design Boosts User Engagement in Financial Search Products

This article outlines a systematic fine‑grained design methodology—covering user segmentation, scenario and time‑slot analysis, opportunity discovery, design optimization, and validation—demonstrating how targeted improvements can increase stickiness, conversion and overall product performance in financial search services.

DesignFinancial ServicesUser Research
0 likes · 12 min read
How Fine‑Grained Design Boosts User Engagement in Financial Search Products
DataFunTalk
DataFunTalk
Apr 26, 2023 · Artificial Intelligence

Serializing Advertising Placement with User Algorithms at Alibaba Health

Alibaba Health’s user algorithm leverages multi‑channel serialized ad placement, using vector‑based three‑tower models, knowledge distillation, and ROI‑oriented optimizations to sequence user touchpoints, improve conversion rates, and enhance model accuracy across diverse marketing channels.

AdvertisingROIUser Segmentation
0 likes · 15 min read
Serializing Advertising Placement with User Algorithms at Alibaba Health
DataFunSummit
DataFunSummit
Apr 6, 2023 · Game Development

Experiment-Driven Advertising and User Operations in Game Growth: Causal Inference, Uplift Modeling, and Practical Pitfalls

This article presents a data‑science‑focused guide on using causal inference and uplift models to drive overseas ad targeting and user‑operation decisions in games, covering audience selection, privacy‑aware exposure correction, bid optimization, experiment design pitfalls, network effects, and practical recommendations.

A/B testingAdvertisingUplift Modeling
0 likes · 18 min read
Experiment-Driven Advertising and User Operations in Game Growth: Causal Inference, Uplift Modeling, and Practical Pitfalls
JD Tech
JD Tech
Mar 7, 2023 · Product Management

Design and Future Planning of the New Membership Badge System

This article provides a comprehensive overview of the new membership badge system, detailing its background, the shortcomings of the previous model, the redesigned badge hierarchy, business value, product architecture, dynamic business-line integration, core data interaction, periodic evaluation processes, SAAS capabilities, and future development plans.

Product DesignSaaSUser Segmentation
0 likes · 14 min read
Design and Future Planning of the New Membership Badge System
21CTO
21CTO
Jan 7, 2023 · Big Data

How WeChat’s WeAnalysis Powers Scalable User Segmentation with Big Data Architecture

This article explains the design and implementation of WeChat's WeAnalysis image system, covering its basic tag and user‑group modules, multi‑source data ingestion, ETL processing, storage choices such as TDSQL and ClickHouse, bitmap handling, query performance, and service APIs for flexible, high‑performance user segmentation.

ClickHouseData AnalyticsSpark
0 likes · 20 min read
How WeChat’s WeAnalysis Powers Scalable User Segmentation with Big Data Architecture
网易UEDC
网易UEDC
Nov 15, 2022 · Product Management

How NetEase Payment Found Its Niche: From Risky Game Trades to Targeted User Journeys

This article analyzes how NetEase Payment identified its product positioning in the gaming market by addressing virtual asset trade risks, high‑value transaction challenges, and unsuitable mainstream payment platforms, then outlines a data‑driven user journey with segmentation, targeted incentives, AB testing, and iterative refinements to boost adoption.

AB testingUser Segmentationgaming payments
0 likes · 8 min read
How NetEase Payment Found Its Niche: From Risky Game Trades to Targeted User Journeys
DataFunTalk
DataFunTalk
Aug 21, 2022 · Artificial Intelligence

User Interest Segmentation and Clustering: Data Science Practices at iQIYI

The article presents iQIYI's data‑science‑driven approach to user interest segmentation, covering the design of weighted interest tags, their validation through blind surveys and AB‑tests, the creation of factual behavior tags, and advanced content‑based clustering methods for more precise audience targeting.

AB testingUser Segmentationcontent recommendation
0 likes · 10 min read
User Interest Segmentation and Clustering: Data Science Practices at iQIYI
NetEase LeiHuo UX Big Data Technology
NetEase LeiHuo UX Big Data Technology
Jul 20, 2022 · Game Development

Correlation vs Causation in Game Design: How to Avoid Misleading Data Interpretations

The article explains how spurious correlations can mislead game designers and product managers, illustrates the difference between correlation and causation with real‑world examples, and offers practical methods such as focusing on passive variables, ensuring hard stratification, and using behavior‑chain matching to draw more reliable conclusions.

AB testingUser Segmentationcausation
0 likes · 9 min read
Correlation vs Causation in Game Design: How to Avoid Misleading Data Interpretations
HelloTech
HelloTech
Apr 11, 2022 · Artificial Intelligence

Precise Marketing Algorithm and Practice in HaLao

HaLao’s precise marketing system combines Pu‑Learning lookalike models, graph‑embedding user similarity analysis, and TSA/EM optimization within a robust feature‑engineering and deployment framework, delivering over 20% ROI gains and 3‑10× user growth while addressing low‑ROI and targeting inefficiencies.

AI in marketingMarketing AlgorithmsUser Segmentation
0 likes · 9 min read
Precise Marketing Algorithm and Practice in HaLao
DataFunTalk
DataFunTalk
Apr 11, 2022 · Artificial Intelligence

Precise Marketing Algorithms and Practices at Hello Mobility

This article presents Hello Mobility's precise marketing system, detailing its business background, value, framework, algorithmic capabilities—including Pu‑Learning LookAlike modeling, semi‑supervised TSA, and graph‑embedding techniques—addressing challenges such as sparse features and low ROI, and sharing performance improvements and future directions.

Pu-LearningROIUser Segmentation
0 likes · 14 min read
Precise Marketing Algorithms and Practices at Hello Mobility
DataFunSummit
DataFunSummit
Feb 8, 2022 · Big Data

User Segmentation Data‑Driven Operations Intelligent Decision Engine: Data Development Practice at NetEase Cloud Music

This article details the design, challenges, and implementation of NetEase Cloud Music's user‑segmentation data‑driven operation decision engine, covering project background, product architecture, data‑warehouse responsibilities, development workflow, optimization strategies, and the resulting performance and future outlook.

User Segmentationcloud musicdata ops
0 likes · 15 min read
User Segmentation Data‑Driven Operations Intelligent Decision Engine: Data Development Practice at NetEase Cloud Music
DataFunTalk
DataFunTalk
May 9, 2021 · Big Data

User Segmentation and Growth Practices for Mini‑Programs Based on Doris

This article presents a comprehensive case study of how Baidu’s senior R&D engineer Zhao Yuyang built a Doris‑based user‑segmentation system for mini‑programs, detailing the product’s private‑domain fine‑grained operation capabilities, the four technical challenges, the architecture and solutions—including global dictionaries, bitmap storage, partitioning, tag optimization, dynamic‑static query handling, and rapid user‑package generation—along with future roadmap plans.

User Segmentationbitmap indexingdoris
0 likes · 20 min read
User Segmentation and Growth Practices for Mini‑Programs Based on Doris
58UXD
58UXD
Apr 28, 2021 · Product Management

Turning Holiday Traffic into High‑Value Users: 58 Rental’s Layered Operation Strategy

This article examines how 58 Rental leverages diverse traffic sources during its Spring Festival campaign by segmenting users, aligning responsibilities with rewards, and designing clear, incentive‑driven scenarios—including games, VR experiences, and live streams—to maximize conversion and efficiently allocate limited resources.

User Segmentationbehavior analysisoperation strategy
0 likes · 10 min read
Turning Holiday Traffic into High‑Value Users: 58 Rental’s Layered Operation Strategy
58UXD
58UXD
Nov 25, 2020 · Product Management

How User Motivation Drives Content Growth: Insights from a 58 Tribe Case Study

This report examines how internal and external motivations, combined with users' production capacity, influence content creation on the 58 Tribe platform, presenting a segmentation of users, key influencing factors, design interventions, and validation results that guide future growth strategies.

Behavioral AnalysisCase StudyProduct Design
0 likes · 7 min read
How User Motivation Drives Content Growth: Insights from a 58 Tribe Case Study
58UXD
58UXD
Nov 20, 2020 · Product Management

How 58 City Partners Redesigned Their Social‑Sharing App for Diverse Users

This case study details how 58 City Partners transformed their WeChat‑based social‑sharing platform by defining four user personas, revamping visual design with efficiency, high‑profit, and fun cues, and upgrading key UI components to boost engagement and conversion across multiple city markets.

Case StudyUX designUser Segmentation
0 likes · 6 min read
How 58 City Partners Redesigned Their Social‑Sharing App for Diverse Users
Beike Product & Technology
Beike Product & Technology
Aug 17, 2020 · Big Data

Bitmap-Based User Segmentation in a DMP Platform Using ClickHouse

This article describes how a data management platform (DMP) at Beike leverages ClickHouse bitmap structures and Spark pipelines to generate global numeric user IDs, design tag-specific bitmap rules for enum, continuous, and date attributes, handle boundary cases, and produce high‑performance bitmap SQL for real‑time user group estimation and complex segment logic.

Big DataBitmapClickHouse
0 likes · 17 min read
Bitmap-Based User Segmentation in a DMP Platform Using ClickHouse
Fulu Network R&D Team
Fulu Network R&D Team
Aug 17, 2020 · Big Data

Understanding Big Data Price Discrimination and Data‑Driven Marketing

The article explains how big‑data‑driven price discrimination works, describes the rise of data marketing in the digital era, outlines typical marketing scenarios, and highlights the need for flexible, multi‑factor, scene‑based strategies to avoid over‑reliance on historical user data.

Digital EconomyUser Segmentationdata marketing
0 likes · 7 min read
Understanding Big Data Price Discrimination and Data‑Driven Marketing
JD Tech Talk
JD Tech Talk
Jul 16, 2020 · Artificial Intelligence

Real-Time Bidding Advertising in the Financial Sector: Strategies, User Segmentation, and Optimization

The article examines the high costs of user acquisition in the FinTech industry, explains real‑time bidding mechanics, and proposes layered bidding and federated learning‑based user‑value prediction as optimal strategies to balance ad spend, impressions, and conversion quality.

User Segmentationadvertising optimizationfinancial technology
0 likes · 10 min read
Real-Time Bidding Advertising in the Financial Sector: Strategies, User Segmentation, and Optimization
Xianyu Technology
Xianyu Technology
Dec 17, 2019 · Big Data

Community Governance Solution for Xianyu: Task Management, User Segmentation, and Incentive System

The Xianyu community governance solution introduces a three‑pillar framework—Tasks, User Groups, and Rights—that leverages user‑reported content for self‑moderation, employs Alibaba Cloud SchedulerX for large‑scale task dispatch, segments users to control fatigue, and distributes real‑time incentives via Omega, achieving thousands of daily reports, 40% efficiency gains, and over 98% accuracy.

Distributed SchedulingUser Segmentationcommunity governance
0 likes · 6 min read
Community Governance Solution for Xianyu: Task Management, User Segmentation, and Incentive System
58 Tech
58 Tech
Dec 16, 2019 · Artificial Intelligence

Data Intelligence in the Used‑Car Business: User Traffic Prediction and Identification (Part 1)

This article details how the 58 Group applied data‑driven methods—user segmentation, interest description, clustering, and predictive modeling—to forecast and identify traffic in the used‑car scenario, illustrating the end‑to‑end pipeline, experimental results, and practical impact on downstream business processes.

Data IntelligenceTraffic PredictionUser Segmentation
0 likes · 19 min read
Data Intelligence in the Used‑Car Business: User Traffic Prediction and Identification (Part 1)
58UXD
58UXD
Nov 27, 2019 · Product Management

Eight Distinct User Personas in China’s Lower‑Tier Markets: Insights for Product Strategy

A three‑week field study across north, west, central and south China interviewed county‑level users, applied the VALS model to segment the lower‑tier market into eight detailed personas, and revealed each group’s core traits, lifestyle, consumption habits, social influences and internet usage to guide product and marketing decisions.

User SegmentationVALS modelconsumer behavior
0 likes · 21 min read
Eight Distinct User Personas in China’s Lower‑Tier Markets: Insights for Product Strategy
Qunar Tech Salon
Qunar Tech Salon
Nov 14, 2019 · Mobile Development

Implementing A/B Testing for Low‑Frequency Mobile App Home UI with a Hybrid Client‑Server Approach

This article explains the challenges of low‑frequency home‑page UI A/B testing in a mobile app and presents a hybrid client‑server solution that assigns UUIDs to users, uses MurmurHash for logical grouping, maps to business groups, and outlines server‑side handling and best practices.

A/B testingMurmurHashUser Segmentation
0 likes · 7 min read
Implementing A/B Testing for Low‑Frequency Mobile App Home UI with a Hybrid Client‑Server Approach
Ctrip Technology
Ctrip Technology
Sep 4, 2019 · Artificial Intelligence

Design and Implementation of Ctrip's User Precise Marketing System

This article details the design goals, architecture, core functionalities, and optimization strategies of Ctrip's user precise marketing system, which leverages RESTful integration, flexible rule-based and machine‑learning models, real‑time monitoring, and AB testing to improve traffic utilization and conversion rates.

AB testingCtripMarketing
0 likes · 11 min read
Design and Implementation of Ctrip's User Precise Marketing System
JD Tech
JD Tech
Oct 11, 2018 · Operations

Designing a Dynamic User Segmentation and Automation System for Growth Operations

The article describes how a growth operations team built a flexible, data‑driven system that dynamically groups users, generates queries across multiple data sources, and automates rule execution, while addressing scalability, real‑time constraints, and future extensibility through a Lambda‑style architecture.

AutomationDynamic QueriesLambda architecture
0 likes · 11 min read
Designing a Dynamic User Segmentation and Automation System for Growth Operations
Dada Group Technology
Dada Group Technology
Jul 24, 2018 · Operations

Building a Scalable Growth Operations Platform: User Grouping, Dynamic Queries, and Automation

The article describes how a growth operations team can improve efficiency by designing a flexible user‑grouping system, dynamic query generation, and automated rule execution, while addressing data latency, real‑time processing, and scalability challenges through a Lambda‑style architecture.

AutomationDynamic QueryLambda architecture
0 likes · 14 min read
Building a Scalable Growth Operations Platform: User Grouping, Dynamic Queries, and Automation
网易UEDC
网易UEDC
Jan 4, 2018 · Product Management

What Drives Successful E‑Commerce Membership Systems? A Comparative Analysis

This report examines the latest membership systems of major e‑commerce platforms—including Amazon Prime, Alibaba APASS, JD Plus, and Kaola/Yanxuan—detailing their tier structures, scoring mechanisms, benefit designs, and the strategic considerations behind building effective loyalty programs.

User Segmentatione‑commerceloyalty program
0 likes · 8 min read
What Drives Successful E‑Commerce Membership Systems? A Comparative Analysis