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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.

Data MiningPythoncustomer-segmentation
0 likes · 11 min read
Data Mining Techniques for Marketing: Customer Segmentation, Purchase Prediction, Recommendation, and More with Python
政采云技术
政采云技术
Sep 21, 2023 · Fundamentals

RFM Analysis: A Comprehensive Guide to Customer Segmentation and Marketing Optimization

RFM analysis is a powerful tool for understanding customer value and behavior, enabling businesses to optimize marketing strategies, improve customer satisfaction, and increase business revenue through data-driven customer segmentation.

Customer Lifecycle ManagementMarketing OptimizationRFM Analysis
0 likes · 16 min read
RFM Analysis: A Comprehensive Guide to Customer Segmentation and Marketing Optimization
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.

Artificial Intelligencebig datacustomer-segmentation
0 likes · 24 min read
Understanding and Building User Profiles: Definitions, Dimensions, Tagging, and Business Applications
DataFunTalk
DataFunTalk
Oct 15, 2021 · Artificial Intelligence

Risk Control and Operations for Existing Credit Customers: Models, Strategies, and Practices

This article examines how financial institutions can manage risk and improve operations for existing loan customers by analyzing client flow, regulatory impacts, accelerated deterioration, and layered segmentation, and by applying advanced models such as rule‑based alerts, B‑card scoring, LSTM, and survival analysis to enable timely risk detection and targeted cross‑selling.

customer-segmentationfinancial modelingmachine learning
0 likes · 20 min read
Risk Control and Operations for Existing Credit Customers: Models, Strategies, and Practices
DataFunSummit
DataFunSummit
Jan 1, 2021 · Big Data

User Profiling: Concepts, Necessity, Construction Methods, and Applications

This article explains what user profiling is, why it is essential for businesses, outlines practical steps to build accurate user profiles, showcases various application scenarios, and provides references for further study, offering a comprehensive overview for data‑driven product and marketing teams.

big datacustomer-segmentationdata analysis
0 likes · 3 min read
User Profiling: Concepts, Necessity, Construction Methods, and Applications
Python Programming Learning Circle
Python Programming Learning Circle
Dec 19, 2020 · Fundamentals

Implementing RFM Customer Value Analysis with Python and Pandas

This article demonstrates how to use Python's time, NumPy, and Pandas libraries to build an RFM (Recency, Frequency, Monetary) model for customer value segmentation, covering data preparation, score calculation, weighting strategies, and exporting the results for marketing insights.

customer-segmentationdata analysispandas
0 likes · 5 min read
Implementing RFM Customer Value Analysis with Python and Pandas
Full-Stack Internet Architecture
Full-Stack Internet Architecture
Jun 18, 2020 · Product Management

Understanding Business Models: The Nine Core Components

This article explains what a business model is, outlines its nine essential modules—including customer segmentation, value proposition, channels, customer relationships, revenue streams, core resources, key activities, partnerships, and cost structure—and offers practical insights on how organizations can design and evaluate effective models.

Revenue StreamsValue Propositionbusiness model
0 likes · 7 min read
Understanding Business Models: The Nine Core Components
Full-Stack Internet Architecture
Full-Stack Internet Architecture
Jun 17, 2020 · Fundamentals

Turning User Tags into Actionable Business Insights: A VIP Fruit‑Plate Service Case Study

This article explains how to avoid idle user tags by integrating them into business processes, using a VIP fruit‑plate service example to illustrate tag basics, two promotion strategies, key performance metrics, and deeper implementation steps that turn profiling data into concrete operational value.

VIP servicebusiness intelligencecustomer-segmentation
0 likes · 8 min read
Turning User Tags into Actionable Business Insights: A VIP Fruit‑Plate Service Case Study
DataFunTalk
DataFunTalk
May 27, 2020 · Big Data

Understanding and Building User and Product Profiles for Data‑Driven Business

This article explains the concept, importance, and step‑by‑step methodology for constructing user and product profiles, illustrating how data‑driven segmentation, static and dynamic attributes, and matching techniques can enhance product experience, marketing, and operational decisions across e‑commerce platforms.

big datacustomer-segmentationdata analytics
0 likes · 19 min read
Understanding and Building User and Product Profiles for Data‑Driven Business
Tongcheng Travel Technology Center
Tongcheng Travel Technology Center
Nov 29, 2018 · Artificial Intelligence

Personalized Red Envelope Marketing Using Data Mining and Logistic Regression Models

This article presents a data‑driven personalized red‑envelope marketing solution that cleans and selects features, builds consumption‑demand and red‑envelope‑sensitivity logistic regression models, and iteratively optimizes parameters to lower costs while boosting cross‑project new‑customer conversion rates.

Data MiningRed Envelopebig data
0 likes · 7 min read
Personalized Red Envelope Marketing Using Data Mining and Logistic Regression Models
Ctrip Technology
Ctrip Technology
Jan 18, 2018 · Artificial Intelligence

AI Algorithm Practices and Data Platform Architecture at Ping An Bank

The article presents Ping An Bank's AI-driven data platform, covering business background, architectural layers, algorithmic applications such as customer segmentation, portrait, business forecasting, and graph analysis, and shares practical insights on platform design, model deployment, and the role of data product managers.

AIbankingcustomer-segmentation
0 likes · 13 min read
AI Algorithm Practices and Data Platform Architecture at Ping An Bank
Architects' Tech Alliance
Architects' Tech Alliance
May 24, 2017 · Big Data

Customer Segmentation: Processes, Best Practices, Common Mistakes, and an RFM Model Case Study

This article provides a comprehensive overview of customer segmentation, detailing its definition, multi‑dimensional challenges, seven implementation guidelines, five systematic steps, ten frequent pitfalls, and a practical RFM model case study using big‑data mining techniques.

ClusteringData MiningRFM model
0 likes · 16 min read
Customer Segmentation: Processes, Best Practices, Common Mistakes, and an RFM Model Case Study