The “RFM” in RFM analysis stands for recency, frequency and monetary value. RFM analysis is a way to use data based on existing customer behavior to predict how a new customer is likely to act in the future.
Python scripts as the solutions of tasks resolved by me at Analyst course including Cohort analysis, RFM analysis, interaction with APIs etc.
Analysis and calculation of product metrics of users. Raw data taken from AppMetrica.
Project completed within the module "First project" of the Data Analyst course on the Karpov Courses platform
This project performs cohort analysis to estimate Customer Lifetime Value (CLV) by analyzing weekly revenue and user registrations over 12 weeks, forecasting future revenue, and providing actionable insights for marketing and business strategy.
Когортный анализ и RFM анализ данных e-commerce.
This project analyses customer retention, churn and customer lifetime value (CLV) on the Google Merch Shop, focusing on weekly behaviour trends and CLV predictions. The findings identify key factors impacting retention, CLV, and customer acquisition cost (CAC) effectiveness.
Проект с применением RFM анализа и когорного анализа.
Dataset Northwind Mini Project Data Engineering
This project aims to identify and present the target personas for a new Marketing campaign.
Build a RFM (Recency Frequency Monetary) model for Retail Customers
The goal of the project is to build a cohort transition analysis of a user base by month. On a high level, this analysis should show how users' engagement develops over time and how users come into and fall out of the platform again. A cohort by definition is a certain status that's affixed to both a user and a concrete month, depending on user
Project explores the transaction history of an online household goods store through detailed data analysis, visualizations, and statistical hypothesis testing, offering valuable insights into purchase trends, customer behavior, and strategic product decisions.
Задача для маркетингового аналитика развлекательного приложения Procrastinate Pro+. Несмотря на огромные вложения в рекламу, последние несколько месяцев компания терпит убытки. Задача — разобраться в причинах и помочь компании выйти в плюс.
RFM analysis focuses on identifying and segmenting customers based on their purchasing behavior. Analyzed to understand and interact with customers. It can be used together for more effective marketing and customer management strategies.
Advanced SQL
Just a few of projects I did for my Data Analytics studies in Turing College
A Python-based repo for modeling and predicting customer behavior. This project focuses on implementing various statistical and probabilistic models to analyze customer preferences, purchase patterns, and future actions.
Course of business intelligence bootcamp by Dibimbing
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