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Didi Tech
Didi Tech
Feb 13, 2025 · Frontend Development

Front-End Architecture Refactoring for International Food Delivery Merchant Marketing

The case study details how a unified TypeScript‑based activity data model, combined with JSON‑Schema validation and dependency‑injected configuration, refactored a multi‑channel food‑delivery merchant marketing front‑end, cutting code duplication, boosting extensibility, and improving development speed by roughly 40% for new activity types.

API securityMarketingTypeScript
0 likes · 11 min read
Front-End Architecture Refactoring for International Food Delivery Merchant Marketing
DataFunSummit
DataFunSummit
Oct 10, 2024 · Artificial Intelligence

AIGC‑Assisted Marketing Material Generation at Shujia Technology

This article describes Shujia Technology's use of artificial intelligence to generate marketing images and videos, outlining the background, challenges of high-volume content production, detailed solutions for image and video assets—including layout models, diffusion models, and digital human synthesis—and future research directions.

AIGCDigital HumanLarge Models
0 likes · 12 min read
AIGC‑Assisted Marketing Material Generation at Shujia Technology
DataFunSummit
DataFunSummit
Feb 14, 2024 · Artificial Intelligence

Causal Debiasing Methods for Ant Group's Marketing Recommendation Scenarios

This article presents Ant Group's research on causal debiasing for recommendation and marketing, covering the background of bias, common bias types, causal graph analysis, two correction approaches—data‑fusion based MDI and back‑door adjustment based DMBR—along with experimental results on public and proprietary datasets and real‑world deployment insights.

Ant GroupMarketingRecommendation systems
0 likes · 16 min read
Causal Debiasing Methods for Ant Group's Marketing Recommendation Scenarios
DataFunTalk
DataFunTalk
Jan 6, 2024 · Artificial Intelligence

Causal Debiasing Techniques for Recommendation and Marketing Scenarios

This article presents Ant Group's causal debiasing techniques for recommendation and marketing, covering bias background, data‑fusion based MDI model, back‑door adjustment methods, experimental results on public and industry datasets, and practical applications in advertising and e‑commerce.

MarketingRecommendation systemscausal inference
0 likes · 16 min read
Causal Debiasing Techniques for Recommendation and Marketing Scenarios
DataFunSummit
DataFunSummit
Dec 24, 2023 · Artificial Intelligence

Causal Inference and Entropy Balancing for Improving Marketing Efficiency in the Logistics Industry

This article presents a logistics‑focused case study that leverages causal inference techniques, especially uplift modeling combined with entropy‑balancing and flexible spatio‑temporal grid partitioning, to enhance marketing strategy efficiency, address confounding bias, and achieve stable, accurate effect estimation across diverse operational scenarios.

AILogisticsMarketing
0 likes · 10 min read
Causal Inference and Entropy Balancing for Improving Marketing Efficiency in the Logistics Industry
DaTaobao Tech
DaTaobao Tech
Nov 17, 2023 · Artificial Intelligence

Marketing Technology Architecture and Challenges at Taobao

Taobao’s marketing technology team built a platform‑centric architecture that separates merchant acquisition, ad placement, benefits, and scene construction, enabling 80‑90% feature reuse while tackling challenges such as massive merchant onboarding, real‑time rule validation, price consistency, ultra‑high‑concurrency lottery draws, low‑end device rendering, and AI‑driven asset creation.

AIHigh AvailabilityMarketing
0 likes · 16 min read
Marketing Technology Architecture and Challenges at Taobao
Model Perspective
Model Perspective
Aug 15, 2023 · Product Management

From 4P to 4R: Quantifying Modern Marketing Models with Simple Math

This article examines the evolution of marketing frameworks from the classic 4P model to newer 4A, 4C, and 4R approaches, explains each element, proposes simple quantitative metrics, and shows how mathematical modeling can help businesses evaluate and optimize their strategies.

4A4C4P
0 likes · 11 min read
From 4P to 4R: Quantifying Modern Marketing Models with Simple Math
JD Retail Technology
JD Retail Technology
Jul 24, 2023 · Frontend Development

XView Pop‑up Building and Deployment for JD 618 Promotion: Component‑Based Visual Design

The article explains how JD upgraded its XView platform from a simple H5 container to a component‑based visual builder that enables fast, precise, and stable creation and deployment of marketing pop‑ups for the 618 promotion, covering design, client integration, dynamic data binding, and animation optimization.

MarketingXViewcomponent
0 likes · 8 min read
XView Pop‑up Building and Deployment for JD 618 Promotion: Component‑Based Visual Design
IT Services Circle
IT Services Circle
May 29, 2023 · Product Management

A/B Testing with Python: Analyzing Marketing Campaigns to Choose the Best Strategy

This tutorial demonstrates how to perform A/B testing on two marketing campaigns using Python, covering data loading, cleaning, merging, and visual analysis of key metrics such as impressions, spend, clicks, searches, content views, add‑to‑cart actions, and purchases to identify the most effective strategy.

A/B testingMarketingPlotly
0 likes · 11 min read
A/B Testing with Python: Analyzing Marketing Campaigns to Choose the Best Strategy
360 Tech Engineering
360 Tech Engineering
May 23, 2023 · Operations

Data‑Driven Growth: Underlying Logic, Case Studies, and Essential Factors

The article explains how data‑driven thinking replaces traditional money‑burning growth tactics by establishing logical loops, experimental validation, and concrete case studies in acquisition, activation, and targeting, while outlining the essential collaborative factors needed for successful data‑powered operations.

Marketinganalyticsdata-driven
0 likes · 10 min read
Data‑Driven Growth: Underlying Logic, Case Studies, and Essential Factors
ByteFE
ByteFE
May 17, 2023 · Backend Development

Domain‑Driven Design for Marketing: Abstracting Limits, Rules, Benefits, and Feedback with Node.js

This article explores how to break down the complex marketing domain into modular, atomic components—limits, rules, benefits, and feedback—using Node.js, demonstrates a flexible factory pattern for assembling activities, and provides practical advice for refactoring and product design in real‑world projects.

BackendDomain-Driven DesignMarketing
0 likes · 24 min read
Domain‑Driven Design for Marketing: Abstracting Limits, Rules, Benefits, and Feedback with Node.js
Python Programming Learning Circle
Python Programming Learning Circle
May 5, 2023 · Artificial Intelligence

GPT‑4 as a Startup Founder: A Day‑by‑Day Case Study of HustleGPT

This article chronicles how Jackson Greathouse Fall turned a $100 investment into a $25,000‑valued online venture by delegating all decisions to GPT‑4, detailing daily actions such as domain acquisition, website creation, logo design with DALL·E, content production, marketing, revenue generation, and community building over the first six days.

AI entrepreneurshipGPT-4Marketing
0 likes · 12 min read
GPT‑4 as a Startup Founder: A Day‑by‑Day Case Study of HustleGPT
DataFunSummit
DataFunSummit
Apr 14, 2023 · Big Data

An Overview of User Profiling: Definitions, Elements, Types, Dimensions, Applications, and Development Process

This article provides a comprehensive introduction to user profiling, covering its definition, key elements, classification types, common dimensions, practical application scenarios, lifecycle considerations, development workflow, and validation methods for building effective data‑driven user models.

Big DataMarketingRecommendation systems
0 likes · 10 min read
An Overview of User Profiling: Definitions, Elements, Types, Dimensions, Applications, and Development Process
Model Perspective
Model Perspective
Mar 30, 2023 · Fundamentals

Unlocking User Actions: How the Fogg Behavior Model Drives Design and Marketing

The Fogg Behavior Model explains how motivation, ability, and triggers interact to shape human behavior, offering practical insights for product design, digital marketing, fitness planning, and charitable fundraising, and includes a Python example that quantifies engagement probabilities based on these three factors.

Fogg ModelMarketingMotivation
0 likes · 6 min read
Unlocking User Actions: How the Fogg Behavior Model Drives Design and Marketing
Model Perspective
Model Perspective
Mar 24, 2023 · Fundamentals

Master the PEST Model: A Practical Guide for Analyzing Business Environments

This article introduces the PEST model—a four‑factor framework covering political, economic, social, and technological influences—explains each component, provides a detailed example for an electronics company, and challenges readers to apply the analysis to a supermarket’s expansion plan.

MarketingPEST analysisbusiness strategy
0 likes · 6 min read
Master the PEST Model: A Practical Guide for Analyzing Business Environments
Xingsheng Youxuan Technology Community
Xingsheng Youxuan Technology Community
Mar 2, 2023 · Product Management

Why Traditional Growth Tactics Fail: Lessons from Three Years of Community E‑Commerce Subsidies

The article reflects on the 2020‑2022 subsidy wars in community e‑commerce, exposing classic growth misconceptions, the limits of traffic‑centric strategies, the pitfalls of single‑metric thinking, and the need for holistic, value‑driven product management to achieve sustainable user growth.

MarketingMetricse-commerce
0 likes · 16 min read
Why Traditional Growth Tactics Fail: Lessons from Three Years of Community E‑Commerce Subsidies
DaTaobao Tech
DaTaobao Tech
Nov 25, 2022 · Backend Development

Atmosphere Center Architecture and Configuration Management

The article explains Taobao’s Atmosphere visual marketing system, detailing the need for an Atmosphere Center, its three‑tier architecture with dual configuration portals, Diamond‑based synchronization, abstract handler classes for CRUD operations, and future plans to consolidate portals and streamline custom logic.

BackendMarketingarchitecture
0 likes · 12 min read
Atmosphere Center Architecture and Configuration Management
Xianyu Technology
Xianyu Technology
Dec 15, 2021 · Product Management

Rapid Development of Xianyu Double 11 Marketing Discount Platform

By leveraging existing middle‑platform services and a lightweight, configurable discount component, Xianyu rapidly built a full‑scale Double 11 marketing discount system—covering merchant recruitment, unified discount calculation, pre‑heat visuals, and robust load‑testing—delivering a stable promotion platform that can be reused for future campaigns.

Case StudyMarketingProduct Development
0 likes · 9 min read
Rapid Development of Xianyu Double 11 Marketing Discount Platform
Tencent Advertising Technology
Tencent Advertising Technology
Oct 26, 2021 · Artificial Intelligence

Seventh China International 'Internet+' College Student Innovation and Entrepreneurship Competition: Virtual IP Innovation Track and Tencent Advertising's Virtual Human Creative Service

The article reports on the seventh China International 'Internet+' College Student Innovation and Entrepreneurship Competition, highlighting its new industry challenge track focused on virtual IP, the award-winning solution from Beijing Institute of Technology using AI-driven digital human production, and Tencent Advertising's virtual human creative service for marketing.

AIDigital HumanInnovation Competition
0 likes · 6 min read
Seventh China International 'Internet+' College Student Innovation and Entrepreneurship Competition: Virtual IP Innovation Track and Tencent Advertising's Virtual Human Creative Service
58 Tech
58 Tech
May 10, 2021 · Information Security

Marketing Anti‑Fraud Algorithm Framework and Practice at 58.com

This article details the design, implementation, and evaluation of a multi‑layer anti‑fraud system for 58.com’s marketing activities, covering data and feature engineering, unsupervised and supervised models, graph‑based community detection, and semi‑supervised graph neural networks, with empirical results demonstrating their effectiveness.

Marketinganti-fraudgraph neural network
0 likes · 18 min read
Marketing Anti‑Fraud Algorithm Framework and Practice at 58.com