This Power BI dashboard provides an in depth analysis of marketing campaigns, customer demographics, purchasing behavior, and also channel performance for an e-commerce marketing dataset. The goal is to help stakeholders understand which marketing strategies work, who their customers are, and how purchases vary across different channels.

In any Retail and E-Commerce industry one of the key elements in shaping the business strategy of a firm would be the understanding of customer behaviour. More specifically, understanding their customers based on different business metrics: how much they spend (revenue), how often they spend (frequency), are they new or existing customer, what are their favourite products, etc. Such understanding would in turn help direct marketing, sales, account management and product teams to support better the customer and improve the product offering in turn improving the business. RFM model proves to be one such way of understanding the customers. RFM analysis is a data-driven customer behaviour segmentation technique where RFM stands for Recency, Frequency, and Monetary value. The idea is to segment customers based on their last purchase (Recency), how often they’ve purchased in the past (Frequency), and how much they have spent (Monetary). All three of these measures have proven to be effective predictors of a customer’s which is also been used to perform better campaign’s which in turn helps to increase the business ROI.

Objective is to study the online retail dataset from different perspectives by utilizing data mining techniques for customer centric business. Our aim is to understand the customer behaviour, product associations, web traffic, inventory management and returned products. My analysis can help any new or old e-commerce company such as Amazon, Wish Shopping Sites etc. to design their new marketing campaign, strategies to retain their customers and ways to attract new users or one-time visitors. The recommendations I have come up with are exclusive and unique and could be helpful for the e-commerce sector.

In this project, we will be using a custom-built and extremely rich e-commerce database to help steer the decisions of a business by analysing traffic sources, marketing channels, measuring website performance, analysing business patterns/seasonality and exploring the product portfolio.

Project Title: Analysis Of A Marketing Campaign For an E-Commerce Store

For this project, I delve into the essence of A/B Testing for an E-commerce marketing campaign to choose the best one for future marketing campaigns. My analysis delves deep, comparing the two marketing strategies carried out. Furthermore, I explored the effectiveness of diverse marketing campaigns to make data-driven decisions.

End-to-end Marketing & E-Commerce analytics project using SQL and Power BI, covering funnel analysis, campaign performance, A/B testing, and customer & product insights.

This project performs a comprehensive marketing analysis for an e-commerce business using data-driven techniques. It involves customer segmentation, sales trend analysis, RFM analysis, and campaign performance evaluation to derive actionable insights that enhance marketing strategies and improve customer targeting.

Recommendation Engine for Books E-Commerce Website. Built a customer segmentation k-means algorithm and recommended marketing campaigns for each customer segment. The analysis was used to retain existing high-ticket customers and increase sales for reluctant customers

E-Commerce Marketing Performance Analysis and Campaign Dashboard

Analysis of a digital marketing metrics and KPIs to evaluate the effectiveness of a marketing campaign by analyzing the spending and the return on marketing investment. Insights will be use by marketing team to allocate funding for performing campaign and reassess underperforming campaign to minimize loss and increase profit.

Marketing campaign effectiveness analysis using synthetic e-commerce data

Analysis of marketing campaign performance for an e-commerce company.

A/B testing and conversion funnel analysis for e-commerce marketing campaigns

online E-commerce Data Analysis & A/B testing for new marketing campaign

In this project, I analyzed the “bigquery-public-data.ga4_obfuscated_sample_ecommerce.events_*” dataset, which is a hidden version of the real Google Analytics 4 (GA4) data from the Google Merchandise Store (the official store where Google-branded cosmetics are sold)

Factors Influencing Marketing Campaign Success in E-commerce: A Comparative Analysis Across Customer Cohorts

E-commerce advertising campaign performance analysis using Excel dashboards, KPI reporting and marketing insights.

Here I performed Customer Acquisition Cost Analysis for a marketing Campaign of E-Commerce Company

An analysis of an e-commerce marketing campaign which investigates segments customers and performs clustering analysis to find the ideal customer to target for subsequent marketing campaigns

Customer segmentation and consumption trend analysis for personalized marketing campaigns at a fictional e-commerce company (Store 1).

The E-commerce marketing campaign analysis project provides insights from marketing and e-commerce data using interactive Python and SQL dashboards. It tracks campaign performance, site activity, and transactional trends, and includes A/B testing and exploratory analysis to help optimize marketing strategies and user engagement.

Marketing analytics SQL project using PostgreSQL (DBeaver) and BigQuery with GA4 e-commerce funnel analysis, campaign performance metrics, and conversion insights.

Sales Performance Dashboard, Global Superstore Analysis, E-commerce Analytics, Automobile Sales Performance, Financial Budgeting Report, Supply Chain Logistics, Healthcare Patient Dashboard, HR Attrition Analysis, Social Media Campaign, Marketing Campaign Analysis, Student Academic Performance

Marketing campaign performance analysis for Tokobli e-commerce using data analytics to evaluate revenue efficiency and customer participation across major campaigns (10.10, 11.11, 12.12).

Power BI Dashboard providing actionable marketing insights for an e-commerce company. Includes customer behavior analysis, sales trends, and campaign performance using interactive visualizations.

End-to-end data analysis project using PostgreSQL and Google BigQuery. Focuses on marketing campaign performance (Facebook/Google Ads) and GA4 e-commerce conversion funnels.

Data Analytics portfolio showcasing real-world projects including A/B testing, e-commerce analytics, customer funnel analysis, and marketing campaign performance using Python, SQL, and Tableau.

This project performs a comprehensive data analysis of an e-commerce platform, focusing on user behavior, purchasing patterns, marketing campaign effectiveness, and customer lifetime value (LTV) metrics.

Implementing a machine learning-based customer segmentation strategy to optimize marketing efforts and improve satisfaction for an e-commerce platform, leveraging data analysis for personalized campaigns and enhanced customer experiences.