BestHub
Sign in
Tagged articles
36 articles
Page 1 of 1
Digital Planet
Digital Planet
May 4, 2026 · Industry Insights

How a 40‑Million‑Yuan Loss Exposed Pearl River Beer’s Digital Gap and Handed the Market to Competitors

Pearl River Beer posted a 40‑million‑yuan Q4 loss after a strong production‑side digital upgrade but a lagging marketing‑side digital system, exposing its over‑reliance on the Guangdong market and prompting a strategic warning to shift from production‑oriented to user‑centric digital transformation.

Beverage IndustryConsumer DataDigital Transformation
0 likes · 12 min read
How a 40‑Million‑Yuan Loss Exposed Pearl River Beer’s Digital Gap and Handed the Market to Competitors
Digital Planet
Digital Planet
May 3, 2026 · Industry Insights

Why One‑Yuan Exchange Fails When Sales Staff Are Short‑Handed—and How Digital Tools Can Fix It

In fast‑moving consumer goods, traditional bottle‑cap redemption for one‑yuan exchange overloads sales reps, causing errors and store resistance; digitizing the process with online verification, dynamic dashboards, and lightweight alternatives improves efficiency and restores store confidence.

Channel ManagementDigital TransformationFMCG
0 likes · 18 min read
Why One‑Yuan Exchange Fails When Sales Staff Are Short‑Handed—and How Digital Tools Can Fix It
Digital Planet
Digital Planet
Apr 23, 2026 · Industry Insights

Why Wusu Beer’s 35% Growth Fell to -8%: The Missed Opportunity of 50 Million Scan Users

After soaring 35% annual growth from 2016‑2022, Wusu Beer’s sales dropped 8.1% in 2025 despite holding 88 billion yuan revenue and 50 million scan‑code users, because the company treated QR‑based “物码” merely as a promotional gimmick instead of building a full‑chain digital infrastructure, leading to a data‑black‑box channel and stalled growth.

Channel ManagementDigital TransformationFMCG
0 likes · 16 min read
Why Wusu Beer’s 35% Growth Fell to -8%: The Missed Opportunity of 50 Million Scan Users
Digital Planet
Digital Planet
Apr 9, 2026 · Industry Insights

How Jin Jiu Turned User‑Generated Content into a Competitive Edge with Five‑Code Digitalization

Jin Jiu’s 57th episode of its “Jin Wu Zhi Jing” brand IP demonstrates how a full‑chain digital foundation and five‑code integration enable the liquor maker to hand over narrative control to consumers, turning user‑generated content into measurable growth and reshaping the Chinese spirits industry’s competitive logic from channel dominance to user‑value competition.

Brand StrategyConsumer InsightsFMCG
0 likes · 17 min read
How Jin Jiu Turned User‑Generated Content into a Competitive Edge with Five‑Code Digitalization
Digital Planet
Digital Planet
Mar 25, 2026 · Industry Insights

How Luzhou Laojiao’s “Digitalization 3.0” Is Redefining Liquor Channel Management

Luzhou Laojiao’s 2023‑2026 digital roadmap, highlighted by a 1.1 billion‑bottle opening milestone, shifts channel allocation from inventory‑based to opening‑rate‑based logic, dismantles the traditional “black‑box” between manufacturers and distributors, tackles price inversion, and drives precise resource penetration into county‑level markets, illustrating a data‑first transformation of the Chinese liquor industry.

Channel ManagementData-Driven MarketingDigital Transformation
0 likes · 12 min read
How Luzhou Laojiao’s “Digitalization 3.0” Is Redefining Liquor Channel Management
Data Thinking Notes
Data Thinking Notes
Jul 18, 2024 · Artificial Intelligence

How to Build and Apply a Scalable User Profile Tag System

This article explains how companies can integrate independent user‑profile tag systems into a unified framework, covering tag definitions, demand sources, classification, construction methods, update cycles, platform architecture, common algorithms, and practical applications such as marketing, KPI attribution, and A/B test analysis.

CDPdata modelingmarketing analytics
0 likes · 15 min read
How to Build and Apply a Scalable User Profile Tag System
DataFunSummit
DataFunSummit
Jun 22, 2024 · Artificial Intelligence

Applying Causal Inference and Uplift Modeling for User Growth: Concepts, Methods, and Practice

This article introduces causal inference fundamentals, distinguishes correlation from causation, reviews major methodological streams, and demonstrates how uplift and gain models—implemented with T‑learner, S‑learner, and tree‑based approaches—can be applied to user growth and marketing scenarios, including evaluation metrics and future challenges.

A/B testingUplift Modelingcausal inference
0 likes · 14 min read
Applying Causal Inference and Uplift Modeling for User Growth: Concepts, Methods, and Practice
Data Thinking Notes
Data Thinking Notes
Mar 6, 2024 · Product Management

Mastering Tag Systems: Design, Build, and Optimize Your Enterprise Data Labels

This article explains how enterprises can construct, design, and manage comprehensive tag systems—from foundational concepts and core design principles to construction workflows, evaluation methods, industry case studies, and practical Q&A—enabling precise customer segmentation and data‑driven marketing.

CDPCustomer SegmentationTagging
0 likes · 19 min read
Mastering Tag Systems: Design, Build, and Optimize Your Enterprise Data Labels
Test Development Learning Exchange
Test Development Learning Exchange
Jan 26, 2024 · Artificial Intelligence

Data Mining Techniques for Marketing: Customer Segmentation, Purchase Prediction, Recommendation, and More with Python

This article introduces ten data‑mining applications for marketing—including customer segmentation, purchase forecasting, market‑basket analysis, churn prediction, sentiment analysis, response modeling, recommendation systems, brand reputation, competitive analysis, and public‑opinion monitoring—each illustrated with concise Python code examples.

Customer SegmentationPredictionPython
0 likes · 11 min read
Data Mining Techniques for Marketing: Customer Segmentation, Purchase Prediction, Recommendation, and More with Python
DataFunTalk
DataFunTalk
Sep 30, 2023 · Big Data

Building a Marketing‑Oriented Data Middle Platform: Concepts and Practices

This article outlines how a marketing‑focused data middle platform can be constructed by integrating online and offline behavior data, business data, and third‑party sources, then applying data integration, modeling, processing, and application capabilities to enable data‑driven user journeys and personalized marketing strategies.

Big DataData Integrationdata modeling
0 likes · 13 min read
Building a Marketing‑Oriented Data Middle Platform: Concepts and Practices
DataFunSummit
DataFunSummit
Jan 29, 2023 · Big Data

User Profiling: Development Process and Applications in Data Intelligence

The article explains how user profiling—labeling users' habits, behaviors, and attributes—serves as the foundation for big‑data‑driven personalized recommendation, advertising, and intelligent marketing, and outlines a step‑by‑step development workflow from tag design to service deployment.

Data IntelligenceTaggingmarketing analytics
0 likes · 5 min read
User Profiling: Development Process and Applications in Data Intelligence
GuanYuan Data Tech Team
GuanYuan Data Tech Team
Jan 12, 2023 · Artificial Intelligence

How to Boost Beauty Brand Repeat Purchases with AI‑Driven Uplift Modeling

This article explains how beauty brands can increase repeat purchase rates by building high‑potential member prediction models, applying tiered segmentation, and leveraging various AI‑powered models—including natural repurchase, purchase power, marketing response, and uplift models—to optimize targeting, ROI, and overall sales performance.

AIUplift Modelingcustomer retention
0 likes · 20 min read
How to Boost Beauty Brand Repeat Purchases with AI‑Driven Uplift Modeling
Ctrip Technology
Ctrip Technology
Oct 13, 2022 · Fundamentals

Causal Inference with Propensity Score Matching for Marketing Campaign Value Evaluation

The article explains how causal inference, particularly Propensity Score Matching, can be used to control confounding factors and accurately estimate the incremental value of a marketing campaign when randomized experiments are infeasible, illustrating the method with a real Ctrip project case study.

Propensity Score MatchingValue Estimationcausal inference
0 likes · 15 min read
Causal Inference with Propensity Score Matching for Marketing Campaign Value Evaluation
High Availability Architecture
High Availability Architecture
Aug 5, 2022 · Big Data

Innovative Marketing Practices on the Cloud: How an Intelligent Data Lake Enables Flexible and Efficient Marketing Capabilities

The presentation details how Amazon Web Services’ intelligent data lake architecture integrates big data and machine learning to overcome marketing challenges, improve data governance, and provide scalable, real‑time analytics for personalized, data‑driven marketing across enterprises.

AWSBig DataData Governance
0 likes · 13 min read
Innovative Marketing Practices on the Cloud: How an Intelligent Data Lake Enables Flexible and Efficient Marketing Capabilities
Alimama Tech
Alimama Tech
Feb 23, 2022 · Artificial Intelligence

Augmented Analytics and Alibaba Mama's AutoInsight System: Concepts, Architecture, and Applications

The article explains Gartner’s augmented analytics paradigm—automating data preparation, insight discovery, and sharing via AI/ML—and details Alibaba Mama’s AutoInsight system, whose four‑layer architecture delivers automated anomaly detection, metric contribution analysis, personalized recommendations, and real‑time warnings, illustrated through advertising and mobile placement use cases, highlighting its potential to boost marketing efficiency and insight automation.

AIBusiness Intelligenceaugmented analytics
0 likes · 14 min read
Augmented Analytics and Alibaba Mama's AutoInsight System: Concepts, Architecture, and Applications
Alimama Tech
Alimama Tech
Feb 16, 2022 · Big Data

Target Group Discovery: Framework, Models, and Case Study

The article presents a target‑group discovery framework that combines goal definition, rule‑or model‑based segmentation, tiered metrics, benchmarking and quadrant analysis to identify and characterize advantageous, problematic, or weak consumer, product, or merchant sub‑groups, illustrated by a FMCG e‑commerce case study diagnosing high‑share, low‑growth categories.

BenchmarkingBig Datadata segmentation
0 likes · 13 min read
Target Group Discovery: Framework, Models, and Case Study
DataFunTalk
DataFunTalk
Jan 30, 2022 · Fundamentals

Understanding and Building User Profiles: Definitions, Dimensions, Tagging, and Business Applications

This article explains the concept of user profiling, outlines common dimensions and tag structures, discusses its importance in marketing, finance and product design, and provides a step‑by‑step methodology for constructing, modeling, and applying user profiles in real‑world scenarios.

Customer Segmentationartificial intelligencedata tagging
0 likes · 24 min read
Understanding and Building User Profiles: Definitions, Dimensions, Tagging, and Business Applications
Alimama Tech
Alimama Tech
Dec 15, 2021 · Big Data

Channel Attribution Analysis: Touchpoint Path and Combination Models

The article explains how marketers can move beyond last‑click attribution by using touchpoint path and combination models to quantify each channel’s role, visualize journeys, assess overlap and efficiency, and analyze frequency effects, enabling data‑driven channel‑mix optimization and budget allocation.

channel attributioncombination modelconversion efficiency
0 likes · 14 min read
Channel Attribution Analysis: Touchpoint Path and Combination Models
Alimama Tech
Alimama Tech
Dec 8, 2021 · Big Data

Marketing Channel Attribution Models and Conversion Effectiveness Evaluation

Effective marketing budget allocation relies on robust channel attribution models that combine dimensions, metrics, and segmentation with rule‑based or data‑driven (Shapley) credit assignment across defined attribution windows, enabling multi‑touch analysis, conversion‑time insights, and ROI‑focused channel performance evaluation.

Big DataROIattribution model
0 likes · 16 min read
Marketing Channel Attribution Models and Conversion Effectiveness Evaluation
Alimama Tech
Alimama Tech
Dec 1, 2021 · Industry Insights

How to Measure Brand Impact: Audience Reach, Coverage Models, and Causal Testing

This article presents a comprehensive framework for evaluating brand effectiveness by measuring audience communication ability, applying target‑audience coverage and incremental coverage models, assessing brand awareness through online behavior and surveys, and using AB testing and propensity‑score matching to derive causal insights.

AB testingPropensity Score Matchingaudience reach
0 likes · 13 min read
How to Measure Brand Impact: Audience Reach, Coverage Models, and Causal Testing
Alimama Tech
Alimama Tech
Nov 24, 2021 · Big Data

Consumer Behavior Analysis Models: Path, Funnel, Retention, and Lifetime Value

The article explains how brands can leverage comprehensive consumer‑behavior analysis—using path, funnel, retention, and lifetime‑value models—to integrate multi‑channel data, visualize user journeys, identify conversion bottlenecks, track ongoing engagement, and quantify revenue impact, enabling data‑driven product and marketing optimization.

Retention Analysisconsumer behaviordata analysis
0 likes · 14 min read
Consumer Behavior Analysis Models: Path, Funnel, Retention, and Lifetime Value
Alimama Tech
Alimama Tech
Nov 17, 2021 · Industry Insights

How to Build and Analyze Consumer Asset Models for Precise Marketing

This article explains the background of shrinking traffic dividends, defines consumer equity and user segmentation, introduces common models such as AIPL and RFM, outlines step‑by‑step methods for behavioral, value, flow and attribution models, and provides real‑world case studies to illustrate how marketers can evaluate asset changes and optimize channel contributions.

AIPLRFMattribution model
0 likes · 14 min read
How to Build and Analyze Consumer Asset Models for Precise Marketing
DataFunTalk
DataFunTalk
Aug 25, 2021 · Big Data

Marketing Effectiveness Analysis with ClickHouse at Tencent Games

This article presents Tencent Games' marketing effectiveness analysis workflow, describing the business background, multi‑dimensional analytical challenges, the evolution of their data stack from MySQL to ClickHouse, practical optimizations, experience sharing on hotspot handling, Zookeeper usage, bottlenecks, migration, and future plans for broader ClickHouse adoption.

game operationsmarketing analytics
0 likes · 11 min read
Marketing Effectiveness Analysis with ClickHouse at Tencent Games
Big Data Technology & Architecture
Big Data Technology & Architecture
Jul 28, 2021 · Big Data

Understanding Customer Data Platforms (CDP): Why They’re Needed and How to Build One

The article explains what a Customer Data Platform (CDP) is, why businesses need it to overcome fragmented multi‑channel data, enable fine‑grained operations and data‑driven growth, and outlines the key steps for building a CDP, including data collection, OneID unification, tagging, lifecycle management, and marketing execution.

CDPData IntegrationUser Tagging
0 likes · 10 min read
Understanding Customer Data Platforms (CDP): Why They’re Needed and How to Build One
DataFunTalk
DataFunTalk
Feb 9, 2021 · Big Data

Design and Implementation of a Full‑Chain Marketing Data Product at NetEase Yanxuan

This article details NetEase Yanxuan's business background, market characteristics, data product requirements, and the end‑to‑end design of a full‑chain marketing data product, covering attribution, metric evaluation, analysis frameworks, scenario‑based recommendations, and practical Q&A for data‑driven growth.

Big DataData ProductMetric Evaluation
0 likes · 18 min read
Design and Implementation of a Full‑Chain Marketing Data Product at NetEase Yanxuan
Beike Product & Technology
Beike Product & Technology
Sep 26, 2020 · Artificial Intelligence

Uplift Modeling for Intelligent Marketing: Concepts, Methods, Evaluation, and Business Applications

This article introduces uplift (incremental) modeling as a causal inference technique for intelligent marketing, explains its mathematical formulation, compares response and uplift models, describes various modeling approaches such as two‑model, one‑model, and label‑transformation methods, outlines evaluation metrics like Qini and AUUC, and demonstrates practical deployment in a real‑world real‑estate platform.

A/B testingQini curveUplift Modeling
0 likes · 21 min read
Uplift Modeling for Intelligent Marketing: Concepts, Methods, Evaluation, and Business Applications
Architects' Tech Alliance
Architects' Tech Alliance
Apr 28, 2019 · Big Data

Marketing Data Middle Platform: Definition, Benefits, Architecture and Technical Innovations

This article explains the concept of a marketing data middle platform, its origins, the expectations of advertisers, how it differs from traditional data warehouses, the technical challenges of data governance, analysis and real‑time output, the role of knowledge graphs, system architecture, data sources, and the three main forms—Data Lake, CDP and DMP—offering a comprehensive overview for marketers and data professionals.

CDPDMPKnowledge Graph
0 likes · 18 min read
Marketing Data Middle Platform: Definition, Benefits, Architecture and Technical Innovations
Alibaba Cloud Developer
Alibaba Cloud Developer
Oct 9, 2018 · Artificial Intelligence

How AI-Powered Audience Selection Boosted Brand Conversion by 47%

An in‑depth case study of a brand’s Uni‑Marketing strategy reveals how AI‑driven audience selection, multi‑direction diffusion, and custom predictive models increased the O→IPL conversion rate by 47%, detailing the data pipelines, feature engineering, model training, evaluation metrics, and practical challenges.

AIAudience TargetingPredictive Modeling
0 likes · 19 min read
How AI-Powered Audience Selection Boosted Brand Conversion by 47%
Big Data and Microservices
Big Data and Microservices
Aug 23, 2018 · Industry Insights

How to Build Effective User Profiles for Precise Marketing and Risk Control

This article explains what user profiling is, why it matters for large‑scale enterprises, and how to design a data‑driven profiling system—including data sources, business modeling, tag taxonomy, and practical applications such as targeted marketing, risk assessment, user research, personalized services, and strategic decision‑making.

data taggingmarketing analyticsrisk management
0 likes · 12 min read
How to Build Effective User Profiles for Precise Marketing and Risk Control
Alibaba Cloud Developer
Alibaba Cloud Developer
Jan 17, 2018 · Operations

How Alibaba Uses AI Models to Optimize Double 11 Consumer Benefits

Alibaba leverages multiple machine‑learning models—including spending forecasts, discount‑sensitivity, spread‑ability, category‑preference, and churn prediction—to intelligently allocate shopping vouchers and red packets during Double 11, boosting consumer engagement, merchant sales, and overall platform GMV.

consumer behaviore‑commercemachine learning
0 likes · 9 min read
How Alibaba Uses AI Models to Optimize Double 11 Consumer Benefits
Hulu Beijing
Hulu Beijing
Nov 29, 2016 · Big Data

How Hulu’s Segmentation System Powers Big Data Marketing at Scale

At the 2016 WOT Big Data Technology Summit, Hulu’s senior R&D manager Zhao Kunliang presented the company’s Segmentation system, detailing its Hadoop‑based architecture, Spark and Spark Streaming processing, the custom Nesto query engine, and the challenges and innovations involved in supporting large‑scale marketing and advertising analytics.

HadoopNestoSegmentation system
0 likes · 5 min read
How Hulu’s Segmentation System Powers Big Data Marketing at Scale
Meituan Technology Team
Meituan Technology Team
Aug 5, 2016 · Big Data

Meituan-Dianping Tech Salon: Full‑Chain Application of Food‑Delivery Big Data – User Profiling, Marketing Strategies, and Predictive Modeling

The Meituan‑Dianping tech salon detailed how food‑delivery big data drives full‑chain marketing, using RFM‑based user segmentation, rich demographic and behavior profiles, churn‑prediction and survival models, and scenario‑driven expansion tactics to acquire, retain, and grow customers across the order lifecycle.

Big DataMeituanPredictive Modeling
0 likes · 9 min read
Meituan-Dianping Tech Salon: Full‑Chain Application of Food‑Delivery Big Data – User Profiling, Marketing Strategies, and Predictive Modeling