A sample churn prevention solution for an fintech app
data-science machine-learning exploratory-data-analysis churn-prediction churn-analytics user-segmentation data-magic
-
Updated
May 11, 2020 - HTML
#
user-segmentation
Here are 26 public repositories matching this topic...
Language: All
Filter by language
Sort: Most stars
Sort options
Wrangling & Modeling of Duolingo Data (48-hour Analysis Challenge)
python data-science r clustering sklearn tidyverse feature-extraction randomforest adaboost mutual-information hierarchical-clustering user-segmentation sequential-feature-selector
-
Updated
Feb 11, 2020 - Jupyter Notebook
Clean and Apply RFM technique to rank and group clusters to identify the best customers and perform targeted marketing campaigns, using real online transaction data
data-science datetime pandas data-visualization python3 data-cleaning marketing-analytics user-segmentation
-
Updated
Aug 7, 2022 - Jupyter Notebook
Introducing the Ultimate A/B Testing and Experiment Analysis Dataset! 👀
sales marketing social-media websites e-commerce bayesian hypothesis-testing power-analysis user-segmentation statistical-testing kaplanmeierfitter
-
Updated
Feb 26, 2025 - Jupyter Notebook
DANA Automation Data Scientist Take Home Test: Feature Creation + User Segmentation
data-science automation clustering exploratory-data-analysis feature-engineering dana take-home-test user-segmentation initial-data-analysis feature-creation
-
Updated
Dec 10, 2025 - Jupyter Notebook
# User Segmentation_Online Retail Data ## Ikhtisar Proyek ini bertujuan untuk melakukan segmentasi pengguna menggunakan data retail online. Dengan menggunakan teknik RFM (Recency, Frequency, Monetary) dan analisis data, kami mengidentifikasi berbagai segmen pelanggan untuk membantu dalam meningkatkan retensi pelanggan dan strategi pemasaran.
-
Updated
Jan 6, 2026 - Jupyter Notebook
User profiling refers to creating detailed profiles that represent the behaviors and preferences of users, and segmentation divides the user base into distinct groups with common characteristics, making it easier to target specific segments with personalized marketing, products, or services.
-
Updated
Dec 16, 2024 - Jupyter Notebook
🧠 Case study on data preprocessing and behavioral analysis of TechnoMagicLand visitors. Includes clustering, correlation, and visualization in R, with focus on identifying repeat visitors and improving engagement strategies.
r big-data clustering exploratory-data-analysis data-visualization data-analysis kmeans data-preprocessing user-segmentation education-project crisp-dm visitor-behavior technomagicland
-
Updated
May 29, 2025 - R
This research study focuses on analyzing user behavior data from Duolingo, a language learning app. The primary objective is to predict user churn using semi-supervised learning techniques.
-
Updated
Mar 19, 2024
Experimental research identifying when individual differences override consensus judgment. Uses multilevel modeling to pinpoint behavioral tipping points (N=889).
-
Updated
Jan 21, 2026
Short-term silent user identification and recall strategy analysis with MySQL and Power BI
-
Updated
Mar 15, 2026
Analyzes user behavior and demographic data to create distinct user segments for targeted advertising and personalized experiences.
python data-science machine-learning data-analysis marketing-analytics user-segmentation customer-profiling
-
Updated
Feb 2, 2025 - Jupyter Notebook
Product Fruits APIs.json profile
saas checklists announcements user-segmentation user-onboarding apis-json product-adoption nps-surveys naftiko in-app-guidance
-
Updated
Jun 16, 2026
사이드 프로젝트로 진행한 음식 배달 앱 로그 데이터 분석 프로젝트입니다.
bigquery sql plotly data-visualization seaborn data-analysis retention hypothesis-testing funnel user-segmentation funnel-analysis retention-analysis
-
Updated
Jun 24, 2025 - Jupyter Notebook
This project analyzes social media ad campaign performance using a dataset of user interactions. It uncovers which platforms, ad categories, and user segments drive the highest engagement, conversions, and simulated revenue.
-
Updated
Aug 6, 2025 - Jupyter Notebook
End-to-end streaming platform user behavior EDA with synthetic NOICE-style data, business insights, visuals, and Streamlit dashboard.
python customer-retention dashboard exploratory-data-analysis plotly eda pandas data-visualization business-intelligence data-analysis streaming-platform product-analytics portfolio-project synthetic-data cohort-analysis rfm-analysis user-segmentation user-behavior streamlit growth-analytics
-
Updated
May 13, 2026 - Jupyter Notebook
This project focuses on analyzing user engagement, churn patterns, and revenue trends for a gaming platform using Power BI. The interactive dashboard tracks DAU/WAU/MAU, highlights behavioral patterns, identifies early signs of churn, and provides insights into high-value and high-retention users.
-
Updated
Jun 13, 2025 - Jupyter Notebook
Rule-Based User Segmentation
-
Updated
Jan 31, 2021 - Python
DiscoverIQ is a Power BI analytics project that transforms large-scale ecommerce behavior data into product discovery insights, ranking opportunities, funnel analysis, and conversion optimization recommendations.
python sql dashboard kaggle business-intelligence data-analysis powerbi user-segmentation funnel-analysis duckdb ecommerce-analytics
-
Updated
Jun 11, 2026 - Jupyter Notebook
In-app survey SDK for Web, iOS, and Android.
mobile surveys angular-surveys user-segmentation event-trigger microsurveys in-product-survey in-app-surveys mobile-surveys survey-sdk react-surveys csat-surveys amplitude-surveys mixpanel-surveys segment-surveys braze-surveys microsurvey-ui 1flow-surveys ces-surveys pmf-surveys
-
Updated
Dec 3, 2024 - JavaScript
Improve this page
Add a description, image, and links to the user-segmentation topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the user-segmentation topic, visit your repo's landing page and select "manage topics."