Mastering Data Analysis | Optimizing E-Commerce Promotions with Data Analysis: A Step-by-Step Guide

Course link: https://aicourse.thinkific.com/courses/excel-and-power-bi-for-data-analysis-from-basics-to-brill
In this video, we explore how data analysis can transform your e-commerce business by optimizing promotion strategies.Join us as we follow Adam, a data analyst, through a structured 7-step approach to understanding customer purchase behavior.

📊 Data Collection: Gathering vital customer transaction data, including age, gender, location, purchase history, spending patterns, and website interactions.

🧹 Data Cleaning: Removing inconsistencies, handling missing values, and eliminating duplicate entries to ensure data accuracy.

📈 Data Analysis: Understanding the distribution of purchase amounts and analyzing correlations between variables such as age and spending.

🧩 Customer Segmentation: Grouping customers based on similarities like spending habits, promotion response, and product category engagement.

🔍 Behavior Analysis: Identifying trends within specific age groups and product categories to tailor promotions effectively.

💡 Decision Making: Providing data-driven recommendations to the marketing team to optimize campaign targeting and improve customer engagement.

🔄 Iterative Improvement: Continuously adapting strategies based on new data to stay ahead of changing customer behaviors and market trends.

Learn how to leverage data to boost your e-commerce sales and enhance customer satisfaction. Don't forget to like, comment, and subscribe for more insights into data-driven marketing strategies!
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Тэги:

#ECommerce #Data_Analysis #Customer_Behavior #Marketing_Strategy #Data_Driven #Promotion_Optimization #Customer_Segmentation #ECommerce_Tips #Digital_Marketing #Data_Science #Marketing_Analytics #Online_Shopping #Customer_Insights #Consumer_Trends #Retail_Analytics #Customer_Retention #Customer_Journey #Shopping_Cart_Analysis #Data_Visualization #Data-Driven_Decisions #Business_Analytics #ecommerce_tips #Mastering_Data_Analysis_| #Optimizing_E-Commerce_Promotions

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