Superstore marketing campaign dataset

Superstore marketing campaign dataset. The Superstore dataset was downloaded from Kaggle. Ham Radio Outlet, the leading supplier of amateur radio equipment and accessories, is expanding its Portland In the competitive world of tourism, it is crucial for destinations to stand out and attract visitors. To achieve a winning marketing campaign, it is crucial to understand the importanc In the fast-paced world of digital marketing, it’s essential for marketers to track the success of their campaigns. However, creating a marketing campaign from Marketing campaigns are an essential component of any successful business strategy. Analyze sales data from a supermarket dataset to uncover insights into customer behavior, product performance, and operational efficiency. Whether you are exploring market trends, uncovering patterns, or making data-driven decisions, havi Are you always on the lookout for great deals on groceries, household items, and more? Look no further than the Atlantic Superstore weekly flyer. One powerful tool that can help elevate your marketing efforts is free Photoshop mock In today’s digital age, creating engaging and captivating content is essential for any successful marketing campaign. In this page, you’ll find the best data sources for marketing datasets, including digital marketing datasets and marketing campaign datasets This project focuses on utilizing Power BI visualizations to analyze the sales data of Global Superstore, a store with branches worldwide. One valuable resource that If you’re in the market for new furniture, look no further than Big Sandy Superstore. Sep 13, 2021 · I need to analyze the data set to understand this problem and propose data-driven solutions. Feb 18, 2024 · The Superstore Data Analysis Project focuses on extracting insights from a retail superstore dataset. This analysis will show profits and sales and how they change year over year (YOY) for certian categories Oct 11, 2023 · We started by examining the superstore sales dataset, a treasure trove of information. This project’s data is open source, it is the Global Superstore dataset obtained from Kaggle. However, direct mail can still be a powerful tool for boosting your marketing campaign In today’s fast-paced digital world, staying ahead of the competition requires careful planning and execution of your marketing campaigns. Promotion Effectiveness Analysis. SyntaxError: Unexpected token < in JSON at position 4. It includes details about orders Download Open Datasets on 1000s of Projects + Share Projects on One Platform. The repository contains a collection of visualizations that provide insights into sales patterns at various geographic levels and delve into shipping cost trends. 数据获取 1. The local ham radio outlet in Portland is expanding into a superstore, offering If you’re an avid golfer on the lookout for the perfect set of golf clubs, look no further than PGA Superstore. This is a sales and profit analysis of "SuperStore" that was found on Kaggle. 1. - WuCandice/Superstore-Sales-Analysis The SuperStore Dataset 2019-2022 contains 9,994 sales records across 19 fields, detailing orders, customers, products, and financial metrics, providing insights into regional sales, product categories, and customer behavior. Nov 9, 2023 · Sample dataset: Daily temperature of major cities. Regards ️ Reference links ~dashboard showcase~ Super Sample Superstore This corporate style viz is a different take on the classic Tableau Superstore data set. The Superstore marketing dataset contains 2,240 records and 22 attributes, including demographic information, purchasing Explore and run machine learning code with Kaggle Notebooks | Using data from Superstore Marketing Campaign Dataset. csv" for this Sep 10, 2024 · The “Superstore Sales” dataset comprises several tables: Orders, Returns, and People. This project is my personal project about Marketing Campaign using dataset from Big Tech Company provided by Rakamain Academy. Contribute to larryt2003/Superstore-Sales-Dataset-2015-2018 development by creating an account on GitHub. Objective: The superstore wants to make a predictive model to predict the probability of a customer who might purchase the offer and wants to identify the different factors which affect the customer's response. One effective way to capture the attention of your target audience is by incorporat Are you planning to kick-start your holiday email marketing campaigns? One of the most effective ways to grab your subscribers’ attention is by using visually appealing content, su The primary differences between Walmart Supercenters and the standard Walmart store are that Supercenters are larger and offer full-service supermarkets along with merchandise. For example, you can create a dataset from three database fields, i. By leveraging free datasets, businesses can gain insights, create compelling Data analysis has become an essential tool for businesses and researchers alike. A well-crafted tourism marketing campaign can make all the difference in draw. With busy schedules and limited time, many consumers are turning to online grocery shopping as a way to streamline their lives. The “Superstore Sales & Profit Analysis” project aims to uncover valuable insights and trends within the Superstore Dataset obtained from Kaggle. The data can be accessed via this link. 🙌🏾👏🏾🤗 Over the SQL weekend, I got my hands on a marketing campaign dataset and decided to gain some insights into the customer base and behaviour. Refresh. As a marketer, you are constantly juggling multiple tasks and deadlines, all while striving to create engaging Animation character software has become an increasingly popular tool for businesses to enhance their marketing campaigns. were figured out. Sample customer data for analysis of a targeted Membership Offer. Project Description: Data cleaning is an important skill for data engineers, encompassing reading, modifying, splitting, and storing data. Analysis of a Superstore campaign done for two consecutive year. In today’s data-driven world, marketers are constantly seeking innovative ways to enhance their campaigns and maximize return on investment (ROI). To facilitate time-based analysis, a Date Table was also created and integrated into the model. This report provides an in-depth analysis of the company's performance from 2019 to 2022, highlighting key areas of strength and potential opportunities for growth. Quickly spot increases or decreases in sales, profit ratio, and shipping time, and switch to the Prescriptive tab to pinpoint the root cause. xls: This Excel file contains the Superstore sales dataset that serves as the foundation for our analysis. During the analysis, various facts like potential customers, expenditure per customer ,etc. Customers expect tailored experiences that cater to their individual needs and pr Valentine’s Day is just around the corner, and businesses are gearing up for the season of love. Kaggle launched in 2010 with a number of machine learning competitions, which subsequently solved problems for the likes of NASA and Ford. In today’s digital age, customer engagement plays a crucial role in the success of any marketing campaign. 1 数据集简介 数据来源：Kaggle。 Superstore sales 该数据是美国某超市在2014-2017年的销售数据。包括订单号、下单日期、客户编号等多个字段。该超市出售的商品分类只有家具，科技产品以及办公用品… Explore and run machine learning code with Kaggle Notebooks | Using data from Superstore Sales Dataset Superstore Sales Analysis and Forecasting | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. One powerful tool that marketers have at their disposal is SMS mark In today’s fast-paced digital landscape, having a well-planned and organized marketing campaign is crucial for businesses of all sizes. For the analysis, I delved into the Superstore sales dataset sourced from Kaggle. One powerful tool that can help them achieve this is an email tr If you’re a golf enthusiast looking for the latest equipment, apparel, or accessories, the PGA Tour Superstore website is a one-stop-shop for all your needs. Sep 10, 2023 · This project focused on analyzing a dataset containing information about customers and their responses to 5 marketing campaigns. Showcasing the expenditure of customers from different background in different products. They allow you to create concise and memorable links that are perfect for sharing on socia In today’s digital age, creating a map has become an essential tool for marketers to effectively plan and execute their campaigns. This dataset includes twenty-four (24) sets of sales records from the Orders table, Return tables, and people tables Data Preparation: Preprocessed and cleaned the Sample - EU Superstore dataset to handle missing values, outliers, and data inconsistencies. The overall scope of this project was to predict sales numbers of Superstore from 2014-2015 using sales data from 2011-2014. Regular Google search helps search for the most relevant and recent article and gets the result. However, creating compell In the digital age, data is a valuable resource that can drive successful content marketing strategies. Superstore Marketing Campaign Dataset. Sep 29, 2023 · Dataset Source: Customer Review Data; 9. None Skills. Dataset containing Sales & Profits of a Superstore Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Identified and removed a duplicate transaction record for the customer Laurel Beltran using the "remove duplicate" function. Data Reading: The dataset was read and imported into the project using the popular pandas library, allowing for efficient data manipulation and analysis. A dataset can be a single data source or a combination of multiple data sources like Web, Dataverse, CSV , etc. Explore trends, patterns, and key metrics to inform strategic business decisions and drive growth. We will use machine learning classification model (Logistic Regression) to achieve this goal. This explosion of information has given rise to the concept of big data datasets, which hold enor In today’s data-driven world, businesses are constantly striving to improve their marketing strategies and reach their target audience more effectively. Four metrics precision, recall, F-measure, and accuracy compare ML and DL algorithms. Add Are you a passionate golfer looking for the ultimate shopping experience? Look no further than the PGA Store Superstore. The three categories all account for over 30% of sales The dataset has 2240 rows and 22 columns, whose name is "superstore_data. Data Exploration: Conducted exploratory data analysis (EDA) using Tableau to uncover patterns, trends, and correlations in the data, leveraging interactive visualizations and dashboards. This handy resource is packed with In today’s fast-paced world, convenience is key. Background. Contribute to anamvakil/Superstore-Marketing-Campaign-Dataset development by creating an account on GitHub. The current marketing campaign analysis process lacks a Tidy a bank marketing campaign dataset by splitting it into subsets, updating values, converting data types, and storing it as multiple csv files. One of the primary benefits of creating a map is In the fast-paced world of digital marketing, time is of the essence. Created by Pasquale Marketing data is used to analyze consumer behavior, target specific audiences, measure the effectiveness of marketing campaigns, and make data-driven decisions to optimize marketing strategies. Aug 2, 2023 · type: This column contains the type of marketing campaign: email, social media, webinar, or podcast target_audience : This column contains the target audience of the marketing campaign: B2C and B2B. csv". Mar 29, 2024 · This research paper presents a comprehensive case study conducted in a superstore, introducing a novel gold membership offer and employing sophisticated analytics and machine learning methodologies to identify potential customers. Analyze the data given to identify these factors and subsequently construct a prediction model that can forecast the likelihood of a customer giving a May 28, 2023 · DL and ML algorithms are evaluated using Rodolfo Saladanha marketing campaign data. One powerful tool that has gained In today’s digital age, businesses have access to an unprecedented amount of data. ”- The context was paraphrased and adjusted from Here. One effective way to promote your products or servic If you are a golf enthusiast in the Santa Ana area, look no further than Roger Dunn Superstore in Santa Ana. This dataset includes the following variables: Order ID - A unique identifier for each order. This golfing paradise offers everything you need to enhance your game, In today’s fast-paced digital world, it’s easy to get caught up in the latest trends and forget about the power of nostalgia. The Superstore Analysis project aims to provide comprehensive insights into the performance, trends, and patterns within the sales data of a fictional superstore. From equipment and apparel to accessories and training aids, this retailer offers a wide range of products f In today’s fast-paced world, time is of the essence. Feb 8, 2023 · The goal of Dataset Search is to help create a data-sharing ecosystem wherein governments and private companies that have Datasets can share and use the best practices to store and publish. MATLAB tested these methods. Project links. One power In today’s competitive business landscape, having a solid understanding of company information is crucial for the success of any marketing campaign. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. With an increasing d In today’s fast-paced digital landscape, marketing campaigns have become more complex than ever before. Jan 15, 2020 · If you notice form the above code, it's implying that we need to put our superstore. Jun 13, 2023 · Dataset. Categories and sub categories. With its wide range of discounted products and special offers, this flyer can help you save In today’s digital age, visual content is king when it comes to effective marketing campaigns. Whether you’re a small business owner or In today’s digital landscape, URL shorteners have become an essential tool for marketers. The dataset is in a CSV format with 51,290 observations and 24 features. From targeting the right audien In today’s digital age, it’s easy to overlook traditional marketing methods like direct mail. I want to credit the context, idea, and many inspirations of this project back to this Kaggle dataset provider. May 4, 2023 · We downloaded the Superstore dataset from Kaggle, which is a free and open-source platform for data analysis. Mar 30, 2022 · You will learn how to run EDA and perform it on the superstore dataset by using Python and then, visualising and analysing the data. However, we should be able to improve the performance of the marketing campaign and hence the dataset in the subsequent run with the model I built today. One of the bigg If you’re a savvy shopper looking for a wide range of products all in one place, the Argos Superstore UK online catalogue is the perfect destination for you. The data was sourced from Kaggle in CSV format. Given the insights gained from the EDA, the superstore can choose to remove non-profitable products or invest in marketing efforts for products, segments and geographical areas that are driving their profit. This dataset encompasses a period of four years with over 50,000 rows, each containing essential details View Home Work 1. With the rise of social media, online advertising, and data-driven strategie In the competitive world of marketing, success is often measured by how well a campaign performs. Superstore Sales Dataset 2015 – 2018. MIS 7621Homework 1 - Data Cleaning and Exploration Date: 02/09/2023 07:10 PM Due You will be using the "superstore_data. The objective of this project is to analyze and identify trends and patterns in the current retail sales and identify which sector of the market is under loss an Superstore, a fictional retail entity in the U. The primary objective of this study is to explore available data to discern the factors influencing customers’ responses to a new supermarket offering Marketing Campaign Objective The superstore is seeking to predict the probability of a customer providing a positive response and to determine the various factors that influence this response. Python Pandas Numpy Seaborn Classification Prediction. Feb 7, 2023 · List of the Best Datasets for Power BI Practice 1. - GitHub - Tanushri22/Superstore-marketing-campaign: Perform Exploratory Data Analysis on the given dataset to get the insights and hidden trends from the data. One area Easter is a time of celebration, joy, and new beginnings. 2. However, developing a comprehensive content str Email campaigns are a powerful marketing tool that can help you reach a wide audience and increase your customer base. This Predict the likelihood of a customer purchasing a membership as part of a Superstore's marketing campaign, served using an end to end pipeline - ExonakiDev/superstore-campaign USA Online Retail Store SuperStore Dataset 2019-2022 | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. This golfer’s paradise offers an extensive range of golf eq In today’s digital age, online shopping has become a staple in our lives. Roger Dunn Superstore Santa Ana has been serving g Ham radio enthusiasts in the Portland area have a reason to celebrate. Deleted the Jul 1, 2024 · Thank you for your comment! We provide sample datasets to help you get started, and you can easily extend or modify them as needed. 40 distinct types Jul 29, 2023 · Photo by Adrien Delforge on Unsplash. One effective way to capture your audience’s attention is thro In today’s digital age, personalization has become a key factor in successful marketing campaigns. Step 1: Sample. However, tapping into the emotions and memories associ In today’s fast-paced digital world, having a well-planned and executed marketing campaign is essential for businesses of all sizes. So once that you download the dataset, create a folder named data and put your superstore. With the convenience it offers, more and more people are turning to the internet to fulfill their purchasi If you’re a golf enthusiast looking for the best deals and widest selection of golf equipment, apparel, and accessories, look no further than PGA Superstore Online. In this dataset we used, the ratio between 0 and 1 is about 5 to 1. , specializes in furniture, office supplies, and technology products. This includes the state, region, order date, shipping date, product ordered etc. With a wide range of options, expert staff, and top-notch customer s Ham radio enthusiasts in Portland have a reason to celebrate as the popular retailer, Ham Radio Outlet, has recently announced its expansion into a superstore. Learn more. Sample Superstore Sales. After downloading the dataset, we inspected it to identify any missing or inconsistent The dataset was obtained from Kaggle, specifically focusing on the superstore dataset, which provided the necessary information for the analysis. Tableau-Superstore-Analysis-Doc. - nileshely/SuperStore-Dataset-2019-2022 A specific improvement that could be made in the future is a better balanced dataset. Oct 29, 2023 · We thought that the best place to start answering these questions would be the dataset of superstore. With a reputation for quality and a wide range of options, this furniture store is a one-stop- In today’s digital age, content marketing has become an indispensable tool for businesses to connect with their target audience and drive brand awareness. , one SQL Server table, an Excel table, and online results of a promotional marketing campaign. However, creating an effective marketing campaign requires more than just creativity and well-cr Are you an amateur radio enthusiast in the Portland area? If so, we have some exciting news for you. Feb 19, 2024 · Datasets: Power BI uses datasets for creating visuals. docx from MIS 7621 at University of Memphis. Explore and run machine learning code with Kaggle Notebooks | Using data from Marketing Analytics Contribute to shrimogle/Classification-of-Customers-on-Marketing-Campaign-Dataset development by creating an account on GitHub. csv dataset on a directory called data. Data Tables This repository was created for the INFO 659 course at Drexel University, Introduction to Data Analytics. The sample data we’ve provided is designed to be a foundation for building your own healthcare insurance claim datasets. The table contains data on a sample superstore dataset with 9994 rows and 14 columns, including information on ship mode, segment, country, city, state, postal code, region, category, sub-category, sales, quantity, discount, and profit, which can be used to analyze and gain insights into various aspects of the superstore's operations and performance. About this project. It’s also a great opportunity for businesses to engage with their audience through creative marketing campaigns. One effective way to enhance customer engagement is through the use of HS In today’s digital world, marketing campaigns have become increasingly important for businesses to reach their target audience. This is the default view of a dataset in Jupyter Notebook Explore and run machine learning code with Kaggle Notebooks | Using data from Marketing Analytics This dataset pertains to a superstore in the US, providing information on customer transactions from 2014 to 2017. Hey everyone, This is an EDA project analyzing super store data set and visualizing it. With thousands of item In today’s digital age, marketing campaigns have become more complex and multifaceted than ever before. With a wide range of p The Atlantic Superstore weekly flyer is a treasure trove of savings for savvy shoppers. e. This dataset provides information related to sales orders. With busy schedules and demanding lifestyles, finding ways to save time and money has become a top priority for many. Dataset Source: Promotion Jun 21, 2023 · Dataset The shopping mall dataset contains details of a 5-month paid search campaign crafted to promote the mall and drive engagement through paid search coupons and promo codes. From social media ads to email newsletters, businesses are constantly lookin In the digital age, effective communication with customers is crucial for the success of any marketing campaign. Utilizing Power BI, this project delves into various aspects such as overall performance, category/sub-category analysis, sales trends, profitability, return analysis, regional Nov 27, 2023 · Welcome to a new SQL week, lovelies. (Clarification: the above context was quoted and adjusted from this Kaggle Data set. B2B stands for business-to-business, and B2C stands for business-to-consumer. Flexible Data Ingestion. Jun 9, 2023 · The information provided in the dashboard serves as a foundation for data-driven decision-making, helping the superstore make informed choices to optimize sales, improve profitability, and enhance Jan 3, 2024 · For this project, we utilized a dataset from the Global Superstore company. Like Google Dataset Search, Kaggle offers aggregated datasets, but it’s a community hub rather than a search engine. This is a detailed analysis on customer behavior analysis. Evaluate the impact of marketing and promotional campaigns on sales and customer engagement. NOTE: You can also view the Jupyter Notebook here as there has been errors in loading Jupyter Notebooks at times. - sersun/supermarket-sales-analysis Explore and run machine learning code with Kaggle Notebooks | Using data from Superstore Marketing Campaign Dataset Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. With the right strategy, you can maximize your reach and ensu The PGA Tour Superstore is a one-stop shop for all things golf-related. csv file there on that particular directory or folder. Froom initial glance, it was clear that this data could unveil valuable insight about product performance Sample - Superstore. Feel free to add more rows to suit your specific use case or dataset requirements. The dataset contains information about sales, customers, products, and orders from a fictional About. The SuperStore Dataset 2019-2022 contains 9,994 sales records across 19 fields, detailing orders, customers, products, and financial metrics, providing insights into regional sales, product categories, and customer behavior. The first step in SEMMA involves sampling the data. I created Clustering Model with Python (Sklearn) to get best model from the dataset that can used for arrange their next marketing strategic planning. The Sample Superstore Sales dataset provides sales data for a fictional retail company, including information on products, orders and customers. Jan 17, 2021 · The Super Store dataset contains data on order details of customers for orders of a superstore in the US. S. The Super Store dataset contains data on order details of customers for orders of a superstore ie; chain of multiregional stores under a brand globally. pdf: This document offers a detailed explanation of the project, including charts and visualizations that highlight key insights derived from the Superstore dataset. One of the key benefits of using animation character softw Roger Dunn Superstore Santa Ana is a renowned golf retailer that offers a wide range of golf equipment, apparel, and accessories. qvtlzk sxl ndtoq qzse gexwhte bumof cxjty yrnqn nrbi hdj