Customer analysis using sql. This is a key metric and it plays big .
Customer analysis using sql This is a key metric and it plays big Feb 26, 2025 · Customer Feedback Gaps: Poorly understood customer preferences due to lack of structured feedback analysis. py with your Azure SQL credentials and run it to extract and clean data. Jul 10, 2025 · Ready to level up your SQL skills? In Part 2 of our sales data analysis series, dive into key customer and product metrics using the SQL for Data Analysis Cheat Sheet. This repository showcases a Swiggy Sales Analysis project using SQL to extract key insights from customer, restaurant, and delivery partner data. Open Power BI Desktop, connect to the Azure SQL database (or import CSVs) and build visuals. Dive into the world of customer retention with this GitHub repository Mar 20, 2025 · This project analyze the Superstore dataset using SQL to uncover key business insight related to sales, profit and customer trend. In this article, we’ll explore how to perform e-commerce customer churn analysis using SQL, leveraging the power of SQL queries to extract Jul 23, 2025 · In this article, we will explore how to implement customer segmentation using SQL, with step-by-step queries to calculate RFM scores and categorize customers into meaningful groups. Jun 7, 2023 · E-commerce Customer Churn Analysis using SQL Understanding why customers are leaving an online e-commerce company. By analyzing customer behavior, patterns, and historical data stored in databases using SQL queries, businesses can gain valuable insights into why customers are leaving and take proactive measures to reduce churn rates. Dec 13, 2024 · Learn how to perform customer churn analysis with Python with a real-world example and dataset to follow along with this article. The goal was to derive key business insights using structured queries. Segment customers based on income, spending frequency, and Customer Analysis Queries in SQL are essential tools used to analyze and understand the behavior and characteristics of customers based on their interactions and transactions. By writing SQL queries, businesses can easily identify patterns, customer sentiments, and Ecommerce Customer Churn Analysis Using SQL Welcome to the Customer Churn Analysis Project repository! This project aims to analyze customer churn patterns and provide insights and recommendations to reduce churn rates. Learn SQL techniques to find out how to perform data analysis using SQL in analytics, data science domain A Python-based repo for modeling and predicting customer behavior. Customer Behavior Analysis: Use SQL to analyze how customers interact with your product or service over time. This repository showcases the SQL analysis conducted as part of the Rockbuster Stealth LLC case study. Customer churn refers to the phenomenon where customers cease doing business with a bank or switch to another bank, impacting the bank's customer base and revenue. In this guide, we will explore the different ways to segment customers using SQL and how it can help improve customer engagement and drive business growth. To address these challenges, ShopEasy's Marketing and Customer Experience teams have reached out for a data-driven solution that analyses customer behaviour, reviews, and journey patterns using SQL and Python. Aug 23, 2025 · SQL (Structured Query Language) is a tool for data analysis, allowing users to efficiently query and manipulate data stored in relational databases. By querying and manipulating data using SQL queries, businesses can gain insights into factors that impact customer loyalty, such as purchase history, frequency of interactions, and customer feedback Jun 16, 2024 · In this article, we’ll explore how to perform e-commerce customer churn analysis using SQL, leveraging the power of SQL queries to extract meaningful information from your customer database. In this tutorial, we'll focus on a real-world business question: "Who are our top 10 customers by sales last quarter?" Using a sample Mar 8, 2023 · Customer Journey Analytics: Build with SQL Journey analytics enables CX teams to visualize customer behavior across channels and time, define in-journey signals that show likelihood of conversion, and monitor performance toward end-of-journey success. This predictive analysis enables companies to take Today I’m sharing three steps to create a customer segmentation analysis from scratch using SQL. It is Widely used across industries such as finance, marketing and healthcare Jan 15, 2024 · Superstore Sales Analysis using SQL Optimizing efficiency and profitability by analyzing patterns across our products, regions, categories, and customer segments using SQL. Apr 6, 2024 · Customer churn, the loss of customers over a specific period, is a critical metric for businesses, especially in the e-commerce sector. The primary objectives of this analysis are: To identify patterns that differentiate churned customers from retained customers. When it comes to customer feedback analysis, SQL enables businesses to efficiently extract, filter, and analyze feedback data to gain valuable insights into customer preferences, opinions, and trends. In this article, we’ll explore how to perform e-commerce customer churn analysis using SQL, leveraging the power of SQL queries to extract Jul 12, 2020 · SQL is a key language for analytics, data science. The key to success is the Customer retention. To recommend In this video, we walk through a real-world bank customer churn dataset using PostgreSQL—perfect for beginners looking to practice SQL queries and understand data insights. Superstore businesses needs to optimize sales performance, Identify high Apr 7, 2025 · About This project simulates a real-world retail business scenario and showcases how SQL and MS Excel can be used for business intelligence and data analysis. How would you handle missing data or outliers when using SQL for marketing analysis? The questions will not be as technical as you may think. To understand the main drivers of churn. The dataset consists of 7,043 customers with detailed demographic, service usage, billing, and churn information. It helps businesses and analysts make informed decisions based on customer engagement metrics. By following this guide, you’ll unlock the power of SQL to better understand your customers. SQL, or Structured Query Language, is a powerful tool used for analyzing data in various business contexts, including product and market analysis. Jan 30, 2024 · The best way to learn a skill is by applying it on hands-on projects, so today we will perform exploratory data analysis using SQL in a retail database to answer the following questions: The first This project analyzes customer churn for a telecom company using SQL Server, Power BI, and Excel. It includes a structured database to manage products, customers, orders, and expenses, along with powerful SQL queries and Excel dashboards to gain actionable insights. We’ll leverage the Databricks Marketplace to import sample data, use ai_query () to create a pipeline of reviews and serve that analysis in an AI/BI dashboard. Using SQL, a powerful database language, businesses can analyze customer data to create segments and target them with tailored marketing campaigns. Nov 23, 2023 · This project adopts an data analysis approach to explore customer data using SQL (BigQuery - Google Cloud Platform) and PowerBI to maximize the customer retention. Sales Trends: Generate reports to assess the effectiveness of sales campaigns and promotions. Mar 4, 2025 · Learn how SQL helps uncover customer purchase trends, driving data-driven decisions in e-commerce. By leveraging SQL queries, businesses can gain valuable insights into customer behavior and optimize their marketing efforts for better customer retention and engagement. Dec 1, 2020 · Often, these focus on analyzing customer behavior: when do they register, when do they purchase, which products do they use most often, can we predict when the user will quit, etc. Stop Losing Customers Now: Master the Art of Customer Churn Analysis Using PostgreSQL (Sample Code Included) As an analyst, I’ve seen the devastating impact of customer churn first-hand. The analysis is based on a dataset containing various customer attributes and behaviors. Jul 23, 2025 · In this article, we will explore Customer Behavior Analysis using SQL in detail, covering essential techniques such as churn detection, segmentation, and conversion tracking. In today’s era of Mar 25, 2025 · sa# Customer-Behaviour-Analysis Customer Behaviour Analysis using Sql & python 📊 Customer Behavior Analysis Data-driven insights into customer engagement, retention, and marketing effectiveness 📖 Overview ShopEasy, an online retail business, is facing declining customer engagement and conversion rates despite high marketing expenditures. In this article, we’ll explore how to perform e-commerce customer churn analysis using SQL, leveraging the power of SQL queries to extract Aug 14, 2025 · This analysis aims to identify patterns and characteristics of customers who churn (discontinue service) by analyzing three key dimensions: demographics, services, and financial factors. What is Customer Segmentation? Customer segmentation is a marketing strategy that divides customers into distinct groups based on shared characteristics. Companies rely … Oct 1, 2024 · Using SQL for my analysis, I'll explore data to identify high-value customers, uncover patterns, and provide actionable insights. Whether you are working with sales, customer or financial data, SQL helps extract insights and perform complex operations like aggregation, filtering and sorting. The interactive dashboard provides visual representations of key metrics, facilitating data-driven decisions that enhance customer engagement and drive sales Aug 11, 2024 · Customer churn, the loss of customers over a specific period, is a critical metric for businesses, especially in the e-commerce sector. Learn how to Jul 9, 2023 · Customer Behaviour Analysis using SQL - Portfolio Project - A Case Study Her Data Project 8. Update data_extraction. By analyzing customer behaviors, income, spending patterns, and demographic attributes, uncovered actionable insights to support targeted marketing strategies. It’s designed for beginners looking to practice and strengthen their SQL skills while preparing for Mar 11, 2023 · The telecom industry is highly competitive, and customers have a wide selection of options to choose from. Dec 19, 2023 · Customer churn, the loss of customers over a specific period, is a critical metric for businesses, especially in the e-commerce sector. Customer segmentation with SQL is super important to level up your marketing campaign game. By writing SQL queries, businesses can retrieve and manipulate data stored in databases to gain valuable insights into customer behavior, product performance, market trends, and much more. Customer Churn Prediction is a crucial aspect of business analytics that involves using historical data to predict which customers are likely to stop using a product or service. SQL, or Structured Query Language, is a powerful tool used for managing and analyzing data in databases. Feb 6, 2024 · Customer churn, the loss of customers over a specific period, is a critical metric for businesses, especially in the e-commerce sector. Oct 21, 2023 · Customer analytics is a process by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. In this article, we’ll explore how to perform e-commerce customer churn analysis using SQL, leveraging the power of SQL queries to extract This project dives into an in-depth analysis of customer purchasing behaviors using SQL. In this online course, you'll learn how to do customer behavior analysis in SQL and analyze the customer lifecycle. Jul 26, 2024 · Customer Feedback Analysis and Sentiment Analysis Using PySpark,SQL Introduction Customer feedback is a valuable resource for any business looking to improve its products or services. This guide will walk you through the process of conducting cohort analysis using SQL, providing step-by-step instructions and examples to enhance your understanding. Analyzed Marketing Effectiveness, Customer data, Sales and more using SQL Server to uncover insights on retention rates, revenue trends, and marketing effectiveness. May 14, 2024 · For our analysis, we will primarily focus on the Orders, Order Details, and Customers tables, which contain information about customer purchases and customer details. In this article, we’ll explore how to perform e-commerce customer churn analysis using SQL, leveraging the power of SQL queries to extract Customer Retention Analysis using SQL is a technique that involves analyzing data from customer databases to understand customer behavior and identify patterns that influence customer retention. the goal is derive data-driven recommendations to improve profitability and customer engagement. This can help you grow your business and keep in demand items in stock. Sep 26, 2023 · Do you want to develop your business or improve how you connect with clients? Find out how customer behavior analysis in SQL can help you and your company. You should be familiar with your customer’s demographic and their buying patterns. Nov 7, 2024 · In this blog post, we’ll follow a step-by-step guide to building a review analysis pipeline. One of the most effective ways to get insights into customer performance is through SQL (Structured Query Language). By analyzing … Churn analysis in SQL is a data analysis technique used to identify and understand customer attrition or churn within a business. Discover SQL techniques for analyzing buying behavior. Attracting new customers is only part of the story. By leveraging customer analysis queries, organizations can make data-driven May 28, 2024 · Customer churn, the loss of customers over a specific period, is a critical metric for businesses, especially in the e-commerce sector. The final result is an interactive way for users to understand customer opinions from product reviews. This project focuses on analyzing bank customer churn, also known as customer attrition, using SQL and Power BI. Customers and Products Analysis Using SQL For this project, you’ll step into the role of a data analyst at a scale model car company. Customer churn refers to the situation when customers decide to stop doing Customers and Products Analysis Using SQL The goal of this project is to analyze data from a sales records database for scale model cars and extract information for decision-making. Jul 22, 2025 · This project demonstrates how to analyze structured banking data stored in a relational database using SQL queries. Power BI dashboards to visualize regional revenue, product preferences, and customer behavior, supporting data-driven decision-making. By utilizing SQL, businesses can analyze a variety of relevant factors such as customer behavior, interactions, and patterns to identify potential churn risks. It includes insights into customer profiles, account details, transaction trends, loan distributions, and branch/ATM statistics. sql on your Azure SQL database to create tables. The goal Apr 28, 2022 · SQL Customer Analysis Customer and customer behavior analysis is critical for business development. Companies rely heavily on customer retention to ensure continued growth and success This project offers a comprehensive analysis and reporting system for customer purchase behavior, developed using SQL, Python, and Power BI. Cohort Analysis is an essential technique in data analytics, especially for understanding user behavior over time. Aug 17, 2025 · In the fast-paced world of marketing and business analysis, understanding customer behavior is crucial for driving sales and informing strategy. It’s like standing on a sinking ship, desperately trying to patch the holes as the water rushes in, only to see more leaks springing up. We can extract key performance indicators (KPIs) to make smarter decisions to save time, resources, and money. Mar 22, 2025 · How would you use SQL to analyze customer segmentation or campaign performance? Describe a specific marketing analytics project where you used SQL to derive valuable insights. The project leverages advanced queries to analyze behavior patterns, optimize operations, and enhance customer satisfaction, helping Swiggy drive smarter, data-backed business decisions. Companies rely heavily on customer retention to ensure continued growth and success. You’ll use SQL skills like joins and subqueries to explore a sales database and provide data-driven answers to key business questions about inventory, customers, and marketing. 37K subscribers Like Dollar Bank Customer Churn Analysis using SQL + Python + Tableau: And end-to-end project that involved exploratory analysis with SQL, a deep-dive EDA using Python, and building an interactive dashboard with Tableau to present meaningful business insights for the bank. About A Sales Analysis project using SQL and Power BI involves extracting, transforming, and analyzing sales data from databases with SQL, and visualizing insights like trends, performance, and KPIs through interactive dashboards in Power BI. However, losing customers, also known as churn, is inevitable in any industry. This project focuses on implementing various statistical and probabilistic models to analyze customer preferences, purchase patterns, and future actions. Through SQL queries, businesses can extract valuable insights such as customer demographics, purchase patterns, preferences, and trends. We decided to build on our experience in using and teaching customer-related queries, so we prepared Customer Behavior Analysis in SQL. Export your dashboard as PNG: File → Export → Export to PNG. . Analyzing and understanding customer churn can provide valuable insights for improving customer retention strategies. In this article, we’ll explore how to perform e-commerce customer churn analysis using SQL, leveraging the power of SQL queries to extract May 31, 2024 · Customer churn, the loss of customers over a specific period, is a critical metric for businesses, especially in the e-commerce sector. SQL allows for efficient querying and Mar 14, 2023 · Customer Churn Analysis Using SQL Why are customers leaving Maven Telecom? The telecom industry is highly competitive, and customers have a wide selection of options to choose from. Jun 9, 2024 · Customer Analysis Using SQL Decoding Customer Behavior with SQL Customer churn, the loss of customers over a specific period, is a critical metric for businesses, especially in the e-commerce This project demonstrates customer segmentation using SQL for a retail dataset. As a data analyst, my job is to provide an in-depth analysis of Maven Telecom’s churn dataset and to answer the following questions: What are the key drivers of churn? Is the company losing high value customers? If so, how can Nov 14, 2024 · Master SQL in data analytics to streamline data analysis with essential queries, aggregation techniques, and best practices for actionable insights. How to use Run azure_sql_setup. ymfnb uwvvpx bmkua estn sisyfu klyeolz mchun bleag mcmn zhvikdw ubpvyz vroxyc jmqdlawt zbgq dmbsjt