Assignment 2 is a marketing analytics progress report. The attached images are the guideline and data to be used in the report. I have also attached the executive summary of assignment 1 marketing analytics proposal for references, which these two assignment need to be related. Could you please provide guidance on how to compose content for each section using the information provided below, supplemented by additional research?

Data: 1.2.3.4.5.

Overview Marketers nowadays have access to unparalleled data on opinions and behaviour from the digital marketing environment. This data is used by marketers for decision-making and comes from various sources. This assessment provides you with an opportunity to expand on your proposal and provide innovative solutions that are driven by data analysis. The main skill you are required to demonstrate is exploratory data analysis. Please note that Assessment 3 will build upon this task where you will be required to provide marketing insights based on your data analysis. Assessment Details In Assessment 2, you are required to expand on your proposal to provide a data-driven and innovative solution to the problem that you defined. You are to demonstrate exploratory data analysis (EDA). EDA is a thorough examination meant to uncover the underlying structure of a data set and is important for a company because it exposes trends, patterns, and relationships that are not readily apparent. You must link the EDA to your defined problem statement and determine whether the data and analysis are optimal or not. Following the strategy outlined in your proposal, develop a solution to your defined problem which is quantifiable. Report requirements You are required to produce a report describing the following: - Data requirement - What data do you need? - What are the data sources? - Exploratory Data Analysis - Exploratory data - Summary of data - Basic visualisation of data (figures, pictures etc. are not included in word count) - Exploring Customer Experience Journey - Define customer purchase journey starting from awareness all the way to the purchase. - What are the different ways to segment customers? Define characteristics of each customer segment. Get insights (likes/dislikes/size/preference/choice) of each segment. - Proposed solution - How does your solution help in reducing or eliminating customers' pain? - How does your solution help in enhancing or generating customer value? - How does your solution help in increasing the overall company value? - Business strategy - How will you quantify Return on Investment? - What are the competitive advantages provided by your data analysis? - How is the success of your proposed solution measured? Case-2: Exploratory Data Analysis Exploratory data analysis is an approach to data analysis that involved exploring the data, summarizing the data to get insights from the data in succinct form, and visualizing the data. Exploratory data analysis will help in: - Maximizing insights from the data - Uncovering the underlying structure (or pattern) in the data - Extracting important variables from the data - Detecting outliers and anomalies in the data - Operationalizing key variables for further data analysis You will use the provided data set to perform exploratory data analysis. Your understanding of the data in the first stage will help you with all the possible ways you can approach this problem. Some of the possibilities of the exploratory data analysis using the given data are as follows: - Aggregate sales Across countries. - Across product categories - Insights on returned product items - Average customer spending - Average customer visit frequency - Seasonal sales effects EXECUTIVE SUMMARY This marketing analysis outlines a strategic approach for achieving a 50% increase in sales for our online retail business in Europe by Q4 2026. Recognizing the diverse European market, our business objectives emphasize the importance of data-driven decisions, industry context, and stakeholder collaboration. The identified business objective is integral for the company's expansion in specific European markets, contributing to overall revenue growth, enhanced competitive positioning, and improved risk resilience. Stakeholders, including shareholders, executives, employees, customers, suppliers, competitors, and regulatory bodies, play crucial roles in achieving this objective. Enablers and restrictions have been identified, ranging from growth potential and digital sales channels to risks like exchange rate fluctuations and cultural differences. Success measurement involves monitoring market share, customer satisfaction, and financial performance. Researching the business environment uncovered customer problems, alternative solutions, key competitors, and disruptive factors. The problem statement highlights challenges in market insights, data limitations, and weak trend visualization, affecting regional product supply, language barriers, transportation costs, payment security, and customer support. A robust set of software tools and analysis methods have been proposed to address these challenges, including CRM, data analysis platforms, e-commerce analytics, social listening tools, and translation services. Analysis methods encompass statistical analysis, market segmentation, competitive analysis, time series analysis, and machine learning algorithms. A basic experiment design combines A/B testing and comparative analysis to optimize strategies for sales growth. Independent variables include customized ads, localized SEO, culturally relevant products, and dynamic pricing. The ideal A/B test design involves random assignment, defined time frames, key performance indicators, user feedback, and sales trend analysis. Strategies to solve the problem emphasize innovative marketing analytics tools, creativity, and innovation. Personalized customer journeys, dynamic content generation, AR technology, and a customer feedback loop are proposed strategies to enhance business value. Implementation of these strategies aims to attract more customers, boost sales, differentiate from competitors, and sustain long-term competitive advantages. In conclusion, the comprehensive steps outlined in this analysis provide a roadmap for achieving sales growth goals in the challenging but lucrative European market. Insights onreturned products - Country wise returned n Customer purhase summary - Average customer purchase behavior (Not accounting for returned items) Top 10 Market by Sales TOP 10 MARKET BY SALES Top10 Selling Product Items