BestHub
Sign in
Python Programming Learning Circle
Python Programming Learning Circle
Sep 8, 2025 · Big Data

Unlocking E‑Commerce Insights: How Python & SQL Reveal User Behavior and Boost Sales

This article analyzes a JD e‑commerce dataset using Python and MySQL to calculate key metrics such as PV, UV, conversion rates, attrition, daily activity, hourly trends, user‑behavior funnels, purchase intervals, retention rates, product sales, and RFM segmentation, and then offers data‑driven recommendations to improve traffic, conversion, and user loyalty.

Data AnalysisPythonRFM
0 likes · 37 min read
Unlocking E‑Commerce Insights: How Python & SQL Reveal User Behavior and Boost Sales
58UXD
58UXD
Dec 26, 2022 · Product Management

Uncovering Hidden User Pain Points: Insights from the Aunt Direct‑Hiring Project

This article examines how a real‑world case study of the Aunt Direct‑Hiring service reveals common design pitfalls, demonstrates data‑driven identification of conversion bottlenecks, and outlines interaction‑focused methods for breaking down long tasks to boost user completion and satisfaction.

Product DesignUser Researchconversion funnel
0 likes · 10 min read
Uncovering Hidden User Pain Points: Insights from the Aunt Direct‑Hiring Project
Python Crawling & Data Mining
Python Crawling & Data Mining
Apr 4, 2021 · Big Data

Mastering User Behavior Analysis: 6 Essential Techniques for Data‑Driven Growth

This article explains six key user‑behavior analysis methods—event analysis, retention analysis, distribution analysis, conversion‑funnel analysis, path analysis, and session analysis—showing how they help businesses understand user actions, optimize product design, improve conversion rates, and boost revenue through data‑driven insights.

Retention Analysisbig dataconversion funnel
0 likes · 11 min read
Mastering User Behavior Analysis: 6 Essential Techniques for Data‑Driven Growth