Marketing Optimization

DataFunTalk

Mar 12, 2024 · Artificial Intelligence

Causal Inference with Observational Data for Improving Marketing Efficiency in the Logistics Industry

This article presents a logistics‑focused case study that leverages causal inference techniques, including uplift modeling and entropy‑balancing with flexible spatiotemporal grids, to enhance marketing strategy efficiency using observational data while addressing industry‑specific technical challenges.

Marketing Optimizationcausal inferenceentropy balancing

0 likes · 10 min read

Causal Inference with Observational Data for Improving Marketing Efficiency in the Logistics Industry

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

Mar 24, 2023 · Artificial Intelligence

Deep UPLIFT Modeling: Techniques, Challenges, and FinTech Applications

This article provides a comprehensive overview of deep UPLIFT models, covering their fundamentals, key technical challenges such as confounding bias and inductive bias, the evolution of meta‑learner and deep architectures, and practical case studies in financial technology marketing.

Deep LearningFinTechMarketing Optimization

0 likes · 14 min read

Deep UPLIFT Modeling: Techniques, Challenges, and FinTech Applications

DataFunSummit

Apr 3, 2022 · Artificial Intelligence

Tree‑Based Causal Inference for Smart Subsidy Optimization at Hello Mobility

This article explains how Hello Mobility uses tree‑based causal inference and uplift modeling to improve smart subsidy efficiency in hotel marketing, covering background, uplift methods, custom split criteria, offline AUUC evaluation, online deployment, and future research directions.

Marketing Optimizationcausal inferencemachine learning

0 likes · 17 min read

Tree‑Based Causal Inference for Smart Subsidy Optimization at Hello Mobility

HelloTech

Mar 1, 2022 · Artificial Intelligence

Causal Inference and Tree‑Based Uplift Modeling for Intelligent Subsidy in Ride‑Sharing Services

The paper applies causal inference and tree‑based uplift modeling to identify coupon‑responsive riders, using T‑, S‑, and X‑Learners as well as a proprietary Treelift model that directly optimizes per‑user utility, achieving a 4.7% lift over manual rules and 2.3% over prior response models.

Marketing Optimizationaicausal inference

0 likes · 17 min read

Causal Inference and Tree‑Based Uplift Modeling for Intelligent Subsidy in Ride‑Sharing Services

DataFunTalk

Feb 28, 2022 · Artificial Intelligence

Causal Inference and Uplift Modeling for Intelligent Subsidy in Hotel Marketing at Hello Mobility

This article explains how Hello Mobility applies causal inference and tree‑based uplift models to improve the efficiency of hotel‑marketing subsidies, detailing background, problem formulation, various uplift learning methods, a customized TreeCausal (Treelift) algorithm, offline AUUC evaluation, online deployment, and future research directions.

Marketing Optimizationaicausal inference

0 likes · 17 min read

Causal Inference and Uplift Modeling for Intelligent Subsidy in Hotel Marketing at Hello Mobility

DataFunTalk

Jun 26, 2021 · Artificial Intelligence

Algorithmic Practices in Haola Ride‑Sharing: Platform Infrastructure, Matching Recommendation Engine, Transaction Governance, and Intelligent Marketing

This article presents a comprehensive overview of Haola's ride‑sharing algorithm ecosystem, covering the machine‑learning platform foundation, the architecture and evolution of the matching recommendation engine, the transaction‑ecosystem governance models, and the intelligent marketing uplift framework, highlighting technical challenges, solutions, and performance gains.

AI algorithmsMarketing Optimizationmachine learning

0 likes · 21 min read

Algorithmic Practices in Haola Ride‑Sharing: Platform Infrastructure, Matching Recommendation Engine, Transaction Governance, and Intelligent Marketing

DataFunTalk

Mar 25, 2020 · Artificial Intelligence

Uplift Modeling for Intelligent Marketing: Principles, Methods, and Taopiaopiao Ticket Subsidy Case

The article explains how uplift models address the core challenge of measuring incremental marketing impact, outlines common modeling and evaluation techniques, and demonstrates a practical implementation in Taopiaopiao's smart ticket subsidy system, highlighting data collection, algorithm design, calibration, and future research directions.

A/B TestingMarketing Optimizationartificial intelligence

0 likes · 17 min read

Uplift Modeling for Intelligent Marketing: Principles, Methods, and Taopiaopiao Ticket Subsidy Case