Marketing campaign dataset. The goal is to share our a.
Marketing campaign dataset. Take a look around and see what’s available.
Marketing campaign dataset You signed out in another tab or window. Analyze the data given to identify these factors and subsequently construct a prediction model that can forecast the likelihood of a customer giving a positive response. Instead, it’s more of a product case study challenge. Explore the enriched Bank Marketing Campaign dataset with 41,188 instances and 21 attributes. - am-eric/DigitalMarketing-Analytics The Marketing Campaign Data Analysis project aims to leverage Power BI, a powerful business intelligence tool, to analyze and interpret data about marketing campaigns. You switched accounts on another tab or window. Marketing campaign optimization. 🙌🏾👏🏾🤗 Over the SQL weekend, I got my hands on a marketing campaign dataset and decided to gain some insights into the customer base and Simple Facebook Ad Campaign Dataset. A project focused on predicting customer conversions from digital marketing campaigns using machine learning. The eagle has landed on a brilliant open dataset for your campaigns. Compare data samples from the top data providers and buy the right dataset with confidence. Updated May 26, 2018; By analyzing features from the dataset, the goal is to develop a predictive model that helps optimize marketing strategies and Data Set. Explore detailed insights into marketing with seasonal trends in retail sales You signed in with another tab or window. The dataset encompasses multiple social media platforms such as Facebook, Instagram, Pinterest, and Twitter, providing a diverse range of advertising campaign data. It has indexed around 25 million Datasets, and you can access them all to obtain useful data. This is one of my first projects doing EDA with Python, so I chose a relatively smaller dataset (a few Discover the best advertising datasets and databases for 2025. To form data-driven solutions This project analyzes a dataset of 2,240 Maven Marketing customers to understand consumer behavior, campaign performance, and channel effectiveness. First publication of the delta Information about how submissions for access to the Ad Targeting dataset are reviewed and processed. Utilize Power BI's Get Data option for marketing This is the classic marketing bank dataset uploaded originally in the UCI Machine Learning Repository. First publication of the new dataset. Get started. Includes data from August 3, 2020 - April 21, 2022. csv") df. - samsohail/Marketing-Campaign-Analysis Explore and run machine learning code with Kaggle Notebooks | Using data from Marketing Analytics 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. Explore and run machine learning code with Kaggle Notebooks | Using data from Bank marketing campaigns dataset | Opening Deposit. The number of clusters was identified using the AIC, BIC and Elbow methods as Using Unsupervised Learning ideas such as Dimensionality Reduction and Clustering, the objective is to come up with the best possible customer segments using the given customer dataset. Analyze data to understand and address ineffective marketing campaigns. C’mon Marketing, social media and ad tech are among my favourite domains to do data analysis on. You’re provided a dataset of campaigns, budgets, and impressions, and you’re asked to measure the data generated by an A/B test on a new advertising product. The current marketing campaign analysis process lacks a Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. August 3 - November 1, 2020. 100% deterministic. This social media data set doesn’t focus on users. The classification goal is to predict if the client will subscribe (yes/no) a term deposit (variable y). Boost the profit of a marketing campaign. The dataset was sourced from Kaggle. Take a look around and see what’s available. It performed nearly twice as well as the previous campaigns, except campaign 2. Specifically, the data provided relates to X’s advertising business. - kristiyam This project leverages machine learning to analyze a Gmail-based email marketing campaign dataset and build a predictive model capable of characterizing emails as ignored, read, or acknowledged by the reader. Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. The Kaggle dataset provides a goldmine of information on various marketing campaigns, and through the lens of Power BI, I was able to extract valuable insights. ai. Solution. The primary objective of this dataset is to predict whether a client will Welcome to the new era. marketing_campaign_analysis_dataset. Sure, here is how you can write the Marketing Campaign Data Analysis project in Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. It contains 41,188 observations with 20 features: Client Attributes (age, job, marital status, education, housing loan status, personal loan status, default history): These features describe characteristics of the clients that may influence their propensity to subscribe to a term deposit. Practice Exploratory and Statistical Analysis with Marketing Data 2. 4) bank. Find the right Consumer Marketing Datasets: Explore 100s of datasets and databases. In the dataset, there were 83 instances where the marketing channel was labeled as “(Other). Data preprocessing includes handling missing values, encoding categorical features, and scaling numeric variables for clustering. Each user is represented by an id, and GeoSpatial location. Often, more than one contact to the same client was required, poutcome previous marketing campaign (failure, nonexistent, success) emp. shape The shape of the dataset (Image by the author) df. National Center for Environment Information Quick access to many of NCEI’s climate and weather datasets, products, and various resources. machine-learning analytics bank-marketing-analysis. The goal is to share our a Project Objective: Checking the performance of campaigns on different marketing channels among control & experiment groups and also among different age groups and investigate reasons for high performance or underperformance of Bank Marketing (with social/economic context) dataset with loan target variable. Technical: Extensive data processing covering null values, outliers, and variable calculations. Google Dataset Search is a single platform for many datasets. Here is a brief explanation of all columns (fields) in the dataset: campaign_name: This column contains the name of the marketing campaign; start_date: This column contains the start date of the marketing campaign; end_date: This column contains the end date of the marketing campaign; budget: This column contains the budget for the marketing Sample customer data for analysis of a targeted Membership Offer This Marketing Campaign Performance Dataset provides valuable insights into the effectiveness of various marketing campaigns. Exploratory data analysis for business insights. Instructions for getting started with the Ad Targeting dataset in Reseacher Platform including logging in, creating a Jupyter notebook, and importing the query module. Download Dataset. Insight. This is a dataset containing banking marketing strategies. Predicting whether or not a person deposits money after a marketing campaign. Download Open Datasets on 1000s of Projects + Share Projects on One Platform. Explore and run machine learning code with Kaggle Notebooks | Using data from Marketing Dataset. , SVM). It captures key information about customer behavior, subscription details, and the effectiveness of sales campaigns. First monthly update to the new dataset. The smallest datasets are provided to test more computationally demanding machine learning algorithms (e. June 1, 2022. Power BI is an interactive data marketing_campaign_analysis_dataset Raw. Reload to refresh your session. The main idea is to demonstrate how with Python skills you can make the best marketing decisions based on data. 131. Advertising data is information collected and analyzed from various sources to understand and optimize advertising campaigns. Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target. OK, Got it. 130. Email Marketing Data Analysis with PowerBi file. LondonAir Pollution and air quality data from across London. In this project, through Python, using packages such as Contribute to miraytopal/Marketing-Campaign-Machine-Learning development by creating an account on GitHub. It is important to understand the meaning behind each column and how they were built. Explore and run machine learning code with Kaggle Notebooks | Using data from Bank Marketing Dataset. This dataset captures the performance metrics, target audience, duration, channels used, and other Marketing Open Data is an open source project that provides a free collection of datasets you can use to improve the quality of your marketing, sales, and support data. Foursquare data A project focused on predicting customer conversions from digital marketing campaigns using machine learning. Which marketing campaign is most successful? Photo by author. Marketing Data from Kaggle; Marketing Analytics Dataset: 2,240 customers, 28 variables; Abstraction. Source. Here’s the list of variables and their meaning, taken from the data source: # People ID: Customer's unique identifier Year_Birth: Customer's birth year Education: Customer's education Create a Dashboard using Facebook leads and campaigns data from a kaggle data set and analyze camapaigns with best recommmended changes to improve conversion rates across products. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. I need to analyze the data set to understand this problem and propose data-driven solutions. It includes data on audience demographics, behavior Why This Dataset Is Useful. employment variation rate - quarterly indicator Explore and run machine learning code with Kaggle Notebooks | Using data from Bank marketing campaigns dataset | Opening Deposit Bank marketing campaign | Predictive analytics | Kaggle Kaggle uses cookies from Google to deliver and enhance Kaggle_Marketing_Campaign The main objective in this colab notebook is my solution proposal, about the following kaggle dataset. 245M US individuals. Explore datasets, databases, and providers now. Bank Marketing (with social/economic context) dataset with loan target variable. In this page, you’ll find the best data sources for marketing datasets, including digital marketing datasets and marketing campaign datasets. var. csv with 10% of the examples and 17 inputs, randomly selected from 3 (older version of this dataset with less inputs). Simple Facebook Ad Campaign Dataset. Learn more. Something went Visits, sessions, ad events, and campaigns on an eCommerce website. At the end of the notebook, contain my considerations and results explanations. Current project leaders work at Openprise. Using Pandas, NumPy, Seaborn, and Matplotlib, the analysis explores customer profiles, product preferences, and campaign results to support data-driven marketing strategies. The dataset includes information about customer demographics, their purchases, Like anything else determining which data set is best is based on trade-offs. rate numeric. Something went wrong and this page crashed! This data set contains 2153471 users, 1143092 venues, 1021970 check-ins, 27098490 social connections, and 2809581 ratings that users assigned to venues; all extracted from the Foursquare application. Buy & download Consumer Marketing Data datasets instantly. My goal is to carry out a marketing analysis that will provide insight into the customer demographics and product performance across different campaign channels, to enable Maven Analyze Marketing Campaigns and Product Metrics with Synthetic Data. Background. Skip to content. Something went wrong and this page crashed! 📊 Marketing Data Analysis – A complete end-to-end analysis of marketing campaign performance using SQL, Python, and Looker/Tableau. Analyzing a marketing campaign and predicting its success probability. com. csv This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. So, the best marketing data set choice for your goal is according to budget, data quantity, data quantity, and time constraints. Preview data samples for free. Includes data analysis, model building, and insights to improve marketing strategies an The dataset is sourced from the UCI Machine Learning Repository's Bank Marketing Data Set. Training machine learning models for marketing predictions. Something went wrong and this page crashed! If the Analysis of a bank marketing campaign with machine learning classification methods - rab175/bank-marketing-classification Project goal: The data we will be using (more below) is a bank marketing data set. read_csv()’ will read the dataset from a CSV file and create a dataframe. This dataset simulates real-world marketing scenarios and provides a wide range of metrics to analyze. Be it refining your Audience Data for precise marketing campaigns, acquiring in-depth Consumer Data for that will empower your marketing endeavors. Let data providers come to you! Post your request to reach 1240+ data providers and find the best match for your data needs Email marketing refers to the digital marketing strategy where prospects and customers are reached out to via email campaigns The dataset contains marketing campaign data of 2,240 customers of Maven Marketing, including customer profiles, product preferences, campaign successes/failures, and channel performance. Reading the dataset and creating a DataFrame. If you want to do This dataset provides an overview of customer interactions, sales, and satisfaction metrics during promotional flash sales. head() The first five rows of the dataset (image by the author) df. Available Pricing: Consumer marketing data is used by businesses to understand their target audience, personalize marketing campaigns, improve customer segmentation, and make data-driven decisions. Boost the profit of a marketing campaign. sql excel marketing-campaign. Something went wrong and this page crashed! If the issue You have been asked to work with a bank to clean the data they collected as part of a recent marketing campaign, which aimed to get customers to take out a personal loan. The dataframe will be assigned to the variable ‘df’. Tracking Email Status in a Multi Channel Marketing Platform. Updated Sep 18, 2024; This project focused on analyzing a dataset containing information about customers and their responses to 5 marketing campaigns. The dataset includes various features related to email characteristics and recipient behavior. g. 12 months of historical data. They plan to conduct more marketing campaigns going forward so would like you to ensure it conforms to the specific structure and data types that they specify so that they can instrument we have a dataset related with direct marketing campaigns based on phone calls of a Portuguese banking institution. In this page, you’ll find the best data sources for consumer marketing data, consumer marketing databases, marketing data for sale, and marketing datasets. ” “Organic Search” had the highest count at 1216, followed by “Paid” with 1003 Explore and run machine learning code with Kaggle Notebooks | Using data from Marketing Dataset. Flexible Data Ingestion. The dataset gives you information about a marketing campaign of a financial institution in which you will have to analyze in order to find ways to look for future strategies in order to improve future marketing campaigns for the bank. Available for 1 Explore and run machine learning code with Kaggle Notebooks | Using data from Bank Marketing Dataset. Includes data analysis, model building, and insights to improve marketing strategies and increase conversion rates. describe() Stats for the numerical features (Image by the author) From the above stats, we know there are no missing values for the 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. Something went wrong Something went wrong and this page crashed! If the issue persists, it's likely a problem on our side. The The researchers analyzed a large email marketing dataset of an online ticket marketplace to evaluate the short- and long-term effectiveness of their email campaigns. The project includes data cleaning, processing, exploratory analysis, and visualization to uncover insights into customer engagement and conversion optimization. 132. Updates the dataset to include data from August 3, 2020 - May 21, 2022. The same for venues. 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. 在B2B营销领域，B2B Marketing Campaign Data数据集的构建基于对多个企业间营销活动的全面记录与分析。该数据集通过整合来自不同渠道的营销数据，包括电子邮件营销、社交媒体互动、网络研讨会参与度以及销售线索转化率等，形成了一个多维度的数据框架。 Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. May 31, 2022. Potential Uses for Data Analysis: Campaign Performance Analysis: Analyze the performance of advertising campaigns across different social media platforms to identify the most effective channels and Analyzing a marketing campaign and predicting its success probability. Learn more about bidirectional Unicode The SMS Direct Marketing Data set is a consumer marketing data set that is built offline and available This consumer marketing data set is used for targeted marketing campaigns, personalized messaging, customer Available for 1 countries. The dataset includes customer demographics, product purchases, and campaign responses. This dataset Deep Dive into Campaign Performance Across Diverse Customer Segments Download Open Datasets on 1000s of Projects + Share Projects on One Platform. Digital Marketing Ads & Events - sample | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Editor This repository documents the journey from identifying a business problem to developing and implementing a solution that transforms marketing data analytics capabilities. Description: This dataset extends the well-known UCI Bank Marketing dataset by adding enriched data points related to both client and macroeconomic factors. To review, open the file in an editor that reveals hidden Unicode characters. It is well-suited for: Data visualization in Excel, Power BI, or Tableau. The goal is to provide insights into email This repository is a marketing campaign analysis for a food company, the goal is to create a model that predicts customer behavior and apply it to the rest of the customer base to maximize profits. . Access valuable advertising data on Datarade. campaign_item_id: Unique identifier for each campaign item; no_of_days: Campaign duration in days; time: Campaign timeline; ext_service_name: External service/platform name; creative_id: Creative asset identifier; impressions: Number of ad displays; clicks: Number of clicks received Dates included in both the original and new datasets. The dataset contains data authors, authors ID Scopus, title, year This project aims to analyze a marketing campaign dataset and perform customer segmentation using various data preprocessing and clustering techniques. - Faizal897/marketing-data-analysis The digital marketing research & publication dataset, which was indexed by Scopus from 1982 to 2019. Import Data. Gain insights to develop the best strategy in the next marketing campaign Case study analysis on a bank marketing dataset to discover how to increase ROI for future marketing campaigns. Response means the last marketing campaign, which is the most successful one. Analyze and Predict Customer Conversion in Digital Marketing. read_csv("nyt1. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. The goal for our project is to develop as model that predicts the success of a bank marketing campaign based on the features we have in # Convert dataset to pandas dataframes import pandas as pd df = pd. Overview. The ‘pd. One of the biggest challenges when studying the technical skills of data science is understanding how those skills and concepts translate into real jobs, like growth marketing. Analyze customer data to uncover insights on how different marketing campaigns affect customer responses. Datasets for email marketing analytics project. The dataset and information about The dataset used for this analysis was sourced from Kaggle and contains the following columns:. When trying to determine campaign spend optimizations via MMM, marketers have traditionally relied on manual processes to collect long-term media buying data, as well as observing macro factors that may influence campaigns, like promotions, competitors, brand equity, seasonality, or economic factors. Wanna help? We’re always looking for volunteer managers and even co-leaders! Send an email to opendata@openprisetech. Start by downloading this dataset. Explanations of core concepts and usage requirements. Navigation Menu Toggle navigation We then experimented with various machine learning algorithms Welcome to a new SQL week, lovelies. yogcdpt ahafegx szlhcn aumo gwd nfoh xkhwg nujtxn xangl lup horyj rpbmt bflm dbyxe kbqku