This dataset contains information on how much money is spent by verified advertisers on political advertising across Google Ad Services. In addition, insights on demographic targeting used in political ad campaigns by these advertisers are also provided. Finally, links to the actual political ad in the Google Transparency Report are provided. Data for an election expires 7 years after the election. After this point, the data are removed from the dataset and are no longer available. This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery .

Context Problem Statement

Customer Personality Analysis is a detailed analysis of a company’s ideal customers. It helps a business to better understand its customers. It makes it easier for them to modify products according to the specific needs, behaviors, and concerns of different types of customers.

Customer personality analysis helps a business to modify its product based on its target customers from different types of customer segments. For example, instead of spending money to market a new product to every customer in the company’s database, a company can analyze which customer segment is most likely to buy the product and then market the product only to that particular segment.

Content Attributes

People

ID: Customer's unique identifier Year_Birth: Customer's birth year Education: Customer's education level Marital_Status: Customer's marital status Income: Customer's yearly household income Kidhome: Number of children in customer's household Teenhome: Number of teenagers in customer's household Dt_Customer: Date of customer's enrollment with the company Recency: Number of days since customer's last purchase Complain: 1 if the customer complained in the last 2 years, 0 otherwise Products

MntWines: Amount spent on wine in last 2 years MntFruits: Amount spent on fruits in last 2 years MntMeatProducts: Amount spent on meat in last 2 years MntFishProducts: Amount spent on fish in last 2 years MntSweetProducts: Amount spent on sweets in last 2 years MntGoldProds: Amount spent on gold in last 2 years Promotion

NumDealsPurchases: Number of purchases made with a discount AcceptedCmp1: 1 if the customer accepted the offer in the 1st campaign, 0 otherwise AcceptedCmp2: 1 if customer accepted the offer in the 2nd customer accepted the offer in the 2nd campaign, 0 otherwise AcceptedCmp3: 1 if the customer accepted the offer in the 3rd campaign, 0 otherwise AcceptedCmp4: 1 if customer accepted the offer in the 4th customer accepted the offer in the 4th campaign, 0 otherwise AcceptedCmp5: 1 if the customer accepted the offer in the 5th campaign, 0 otherwise Response: 1 if customer accepted the offer in the last campaign, 0 otherwise Place

NumWebPurchases: Number of purchases made through the company’s website NumCatalogPurchases: Number of purchases made using a catalog NumStorePurchases: Number of purchases made directly in stores NumWebVisitsMonth: Number of visits to the company’s website in the last month Target Need to perform clustering to summarize customer segments.

Inspiration happy learning….

I hope you like this dataset please don't forget to like this dataset

This direct marketing dataset includes data from a direct marketer who sell his prodict only via direct mail. He send catalouge with product characteristics to the customer who then order directly from the catalouge. The marketer has developed customer records to kearn what make some customer to spend more than others

Inspiration

The direct marketer wants to build a model which will tell based on certain attributes who will be a good customer and who will be bad.

Good customer:- If the customer spends more than the average amount of AmountSpent column. Bad customer:-If the customer spends more than the average amount of AmountSpent column.

Envestnet®| Yodlee®'s Retail Sales Data (Aggregate/Row) Panels consist of de-identified, near-real time (T+1) USA credit/debit/ACH transaction level data – offering a wide view of the consumer activity ecosystem. The underlying data is sourced from end users leveraging the aggregation portion of the Envestnet®| Yodlee®'s financial technology platform.

Envestnet | Yodlee Consumer Panels (Aggregate/Row) include data relating to millions of transactions, including ticket size and merchant location. The dataset includes de-identified credit/debit card and bank transactions (such as a payroll deposit, account transfer, or mortgage payment). Our coverage offers insights into areas such as consumer, TMT, energy, REITs, internet, utilities, ecommerce, MBS, CMBS, equities, credit, commodities, FX, and corporate activity. We apply rigorous data science practices to deliver key KPIs daily that are focused, relevant, and ready to put into production.

We offer free trials. Our team is available to provide support for loading, validation, sample scripts, or other services you may need to generate insights from our data.

Investors, corporate researchers, and corporates can use our data to answer some key business questions such as: - How much are consumers spending with specific merchants/brands and how is that changing over time? - Is the share of consumer spend at a specific merchant increasing or decreasing? - How are consumers reacting to new products or services launched by merchants? - For loyal customers, how is the share of spend changing over time? - What is the company’s market share in a region for similar customers? - Is the company’s loyal user base increasing or decreasing? - Is the lifetime customer value increasing or decreasing?

Additional Use Cases: - Use spending data to analyze sales/revenue broadly (sector-wide) or granular (company-specific). Historically, our tracked consumer spend has correlated above 85% with company-reported data from thousands of firms. Users can sort and filter by many metrics and KPIs, such as sales and transaction growth rates and online or offline transactions, as well as view customer behavior within a geographic market at a state or city level. - Reveal cohort consumer behavior to decipher long-term behavioral consumer spending shifts. Measure market share, wallet share, loyalty, consumer lifetime value, retention, demographics, and more.) - Study the effects of inflation rates via such metrics as increased total spend, ticket size, and number of transactions. - Seek out alpha-generating signals or manage your business strategically with essential, aggregated transaction and spending data analytics.

Use Cases Categories (Our data provides an innumerable amount of use cases, and we look forward to working with new ones): 1. Market Research: Company Analysis, Company Valuation, Competitive Intelligence, Competitor Analysis, Competitor Analytics, Competitor Insights, Customer Data Enrichment, Customer Data Insights, Customer Data Intelligence, Demand Forecasting, Ecommerce Intelligence, Employee Pay Strategy, Employment Analytics, Job Income Analysis, Job Market Pricing, Marketing, Marketing Data Enrichment, Marketing Intelligence, Marketing Strategy, Payment History Analytics, Price Analysis, Pricing Analytics, Retail, Retail Analytics, Retail Intelligence, Retail POS Data Analysis, and Salary Benchmarking

1. Investment Research: Financial Services, Hedge Funds, Investing, Mergers & Acquisitions (M&A), Stock Picking, Venture Capital (VC)

2. Consumer Analysis: Consumer Data Enrichment, Consumer Intelligence

3. Market Data: AnalyticsB2C Data Enrichment, Bank Data Enrichment, Behavioral Analytics, Benchmarking, Customer Insights, Customer Intelligence, Data Enhancement, Data Enrichment, Data Intelligence, Data Modeling, Ecommerce Analysis, Ecommerce Data Enrichment, Economic Analysis, Financial Data Enrichment, Financial Intelligence, Local Economic Forecasting, Location-based Analytics, Market Analysis, Market Analytics, Market Intelligence, Market Potential Analysis, Market Research, Market Share Analysis, Sales, Sales Data Enrichment, Sales Enablement, Sales Insights, Sales Intelligence, Spending Analytics, Stock Market Predictions, and Trend Analysis

A comprehensive dataset providing insights into the advertising industry for 2025, highlighting global advertising spending, digital and traditional marketing trends, the influence of social media advertising, mobile ad growth, advertising impact on consumer behavior, and the rise of programmatic advertising.

This dataset used in this study encompasses a comprehensive collection of records detailing production and advertising.

Key Attributes: Clustering data Date: Timestamp of each record, allowing for temporal analysis. Product_ID: Unique identifier for each product. Production_Quantity: Number of units produced on each day. Advertising_Channel: The medium used for advertising (e.g., social media, television, print). Ad_Spend: Amount of money spent on advertising for each channel. Sales: Number of units sold per day. Customer_Demographics: Information on customer segments, including age, gender, and location. Page_Views: Number of page views generated by the advertisement. Clicks: Number of clicks on the advertisements. Data Preprocessing: To prepare the dataset for analysis, several preprocessing steps were undertaken:

Data Cleaning: Removal of duplicate entries and handling of missing values through imputation. Normalization: Scaling of numerical features to ensure uniformity. Categorical Encoding: Conversion of categorical variables (e.g., Advertising_Channel) into numerical format using one-hot encoding. Usage in Study: This dataset facilitated the development and validation of our budget allocation algorithms and predictive models. By analyzing historical performance data, we were able to derive insights into optimal budget distribution and forecast future advertising impacts on sales and production efficiency.

Context

Most of the small to medium business owners are making effective use of Gmail based Email marketing Strategies for offline targeting of converting their prospective customers into leads so that they stay with them in Business

Content

we have different aspects of emails to characterize the mail and track the mail is ignored; read; acknowledged by the reader

Acknowledgements

corefactors.in

Inspiration

amount of advertising dollars spent on a product determines the amount of its sales, we could use regression analysis to quantify the precise nature of the relationship between advertising and sales. here we want everyone to experiment with this fun data , what value we can derive from email as a tool for compaign marketing in a multi channel marketing strategy of a Small to Medium Businesses

Online advertising revenue in the United States grew by 15 percent in 2024 compared to 2023, from 225 billion to 259 billion U.S. dollars. The figure first surpassed 100 billion dollars in 2018 and 200 billion in 2022, owing to the emergence of new channels and formats including digital audio (podcasts and streaming) and digital video (streaming and CTV) as well as strong growth from retail media. Online advertising at a glance Search is the dominating internet advertising format in the United States, accounting for 40 percent of the country's digital advertising revenue. Display follows, accounting for 29 percent of ad revenue, while 24 percent is attributed to digital video ads. However, it is spending on two specific types of platforms that is booming. Social media, with Instagram and TikTok, and retail media, with Amazon and Walmart, harvest the fruit of winning users’ attention. Consumer attitudes to online ads Consumers most often come across online ads on social media and in video content (both on streaming services such as Netflix or Amazon Prime and on video portals, such as YouTube). However, they believe that they were most receptive to ads while shopping online and consuming news content. What internet users did not appreciate at all, were ads based on their browsing history and on their social media behavior, which they considered the most invasive.

Apple is one of the most influential and recognisable brands in the world, responsible for the rise of the smartphone with the iPhone. Valued at over $2 trillion in 2021, it is also the most valuable...

Among the countries presented in the dataset, Facebook’s highest advertising cost-per-mille (CPM) was in the United States, valued at ** U.S. dollars. For comparison, the lowest CPM, *** U.S. dollars, was recorded in India. What are other Facebook advertising costs and metrics? Cost-per-click (CPC) is another popular metric when it comes to advertising on the social platform. Globally, the average CPC on Facebook stood at ** cents at the end of 2024. This means that campaigns aiming at app installs, lead generation and product catalog sales are the most expensive, whereas campaigns targeting post engagement, messages and video views are on the opposite side of the spectrum. How does Facebook compare with other social media among marketers? The majority of marketers indicate that Facebook is the most important social platform for their business, with ** percent of respondents using the platform, compared to ** percent on LinkedIn. However, with recent data breaches, Facebook has seen some decrease in growth. Its position is still strong enough that marketers increase their spending on the social network. However, Instagram seems to be overtaking the older platform, and more industry professionals are planning to increase investments in the photo sharing platform than in Facebook.

As of April 2024, around 16.5 percent of global active Instagram users were men between the ages of 18 and 24 years. More than half of the global Instagram population worldwide was aged 34 years or younger.

              Teens and social media

              As one of the biggest social networks worldwide, Instagram is especially popular with teenagers. As of fall 2020, the photo-sharing app ranked third in terms of preferred social network among teenagers in the United States, second to Snapchat and TikTok. Instagram was one of the most influential advertising channels among female Gen Z users when making purchasing decisions. Teens report feeling more confident, popular, and better about themselves when using social media, and less lonely, depressed and anxious.
              Social media can have negative effects on teens, which is also much more pronounced on those with low emotional well-being. It was found that 35 percent of teenagers with low social-emotional well-being reported to have experienced cyber bullying when using social media, while in comparison only five percent of teenagers with high social-emotional well-being stated the same. As such, social media can have a big impact on already fragile states of mind.

Cristiano Ronaldo has one of the most popular Instagram accounts as of April 2024.

              The Portuguese footballer is the most-followed person on the photo sharing app platform with 628 million followers. Instagram's own account was ranked first with roughly 672 million followers.

              How popular is Instagram?

              Instagram is a photo-sharing social networking service that enables users to take pictures and edit them with filters. The platform allows users to post and share their images online and directly with their friends and followers on the social network. The cross-platform app reached one billion monthly active users in mid-2018. In 2020, there were over 114 million Instagram users in the United States and experts project this figure to surpass 127 million users in 2023.

              Who uses Instagram?

              Instagram audiences are predominantly young – recent data states that almost 60 percent of U.S. Instagram users are aged 34 years or younger. Fall 2020 data reveals that Instagram is also one of the most popular social media for teens and one of the social networks with the biggest reach among teens in the United States.

              Celebrity influencers on Instagram
              Many celebrities and athletes are brand spokespeople and generate additional income with social media advertising and sponsored content. Unsurprisingly, Ronaldo ranked first again, as the average media value of one of his Instagram posts was 985,441 U.S. dollars.

As of April 2024, it was found that men between the ages of 25 and 34 years made up Facebook largest audience, accounting for 18.4 percent of global users. Additionally, Facebook's second largest audience base could be found with men aged 18 to 24 years.

              Facebook connects the world

              Founded in 2004 and going public in 2012, Facebook is one of the biggest internet companies in the world with influence that goes beyond social media. It is widely considered as one of the Big Four tech companies, along with Google, Apple, and Amazon (all together known under the acronym GAFA). Facebook is the most popular social network worldwide and the company also owns three other billion-user properties: mobile messaging apps WhatsApp and Facebook Messenger,
              as well as photo-sharing app Instagram. Facebook usersThe vast majority of Facebook users connect to the social network via mobile devices. This is unsurprising, as Facebook has many users in mobile-first online markets. Currently, India ranks first in terms of Facebook audience size with 378 million users. The United States, Brazil, and Indonesia also all have more than 100 million Facebook users each.

Instagram’s most popular post

              As of April 2024, the most popular post on Instagram was Lionel Messi and his teammates after winning the 2022 FIFA World Cup with Argentina, posted by the account @leomessi. Messi's post, which racked up over 61 million likes within a day, knocked off the reigning post, which was 'Photo of an Egg'. Originally posted in January 2021, 'Photo of an Egg' surpassed the world’s most popular Instagram post at that time, which was a photo by Kylie Jenner’s daughter totaling 18 million likes.
              After several cryptic posts published by the account, World Record Egg revealed itself to be a part of a mental health campaign aimed at the pressures of social media use.

              Instagram’s most popular accounts

              As of April 2024, the official Instagram account @instagram had the most followers of any account on the platform, with 672 million followers. Portuguese footballer Cristiano Ronaldo (@cristiano) was the most followed individual with 628 million followers, while Selena Gomez (@selenagomez) was the most followed woman on the platform with 429 million. Additionally, Inter Miami CF striker Lionel Messi (@leomessi) had a total of 502 million. Celebrities such as The Rock, Kylie Jenner, and Ariana Grande all had over 380 million followers each.

              Instagram influencers

              In the United States, the leading content category of Instagram influencers was lifestyle, with 15.25 percent of influencers creating lifestyle content in 2021. Music ranked in second place with 10.96 percent, followed by family with 8.24 percent. Having a large audience can be very lucrative: Instagram influencers in the United States, Canada and the United Kingdom with over 90,000 followers made around 1,221 US dollars per post.

              Instagram around the globe

              Instagram’s worldwide popularity continues to grow, and India is the leading country in terms of number of users, with over 362.9 million users as of January 2024. The United States had 169.65 million Instagram users and Brazil had 134.6 million users. The social media platform was also very popular in Indonesia and Turkey, with 100.9 and 57.1, respectively. As of January 2024, Instagram was the fourth most popular social network in the world, behind Facebook, YouTube and WhatsApp.

As of April 2024, Facebook had an addressable ad audience reach 131.1 percent in Libya, followed by the United Arab Emirates with 120.5 percent and Mongolia with 116 percent. Additionally, the Philippines and Qatar had addressable ad audiences of 114.5 percent and 111.7 percent.

In the financial year ended March 31, 2024, apparel sales accounted for the largest share of Under Armour’s worldwide revenue, accounting for approximately 66.5 percent of net sales. In the same year, footwear accounted for about a quarter of net sales. Footwear sales setting the pace Under Armour’s footwear segment sales rose sharply between 2015 and 2016, increasing by 333 million U.S. dollars worldwide, pushing annual revenue from this product category to more than one billion U.S. dollars for the first time. A similar evolution was recorded between the fiscal years of 2020 and 2021: while UA's shoe sales had dropped to below the billion dollar mark as a result of interruptions caused by the coronavirus pandemic, the company bounced back and set a new record for itself in 2021, at approximately 1.25 billion U.S. dollars' worth of global footwear sales. This number increased to a record 1.45 billion in 2023. The brand’s footwear line covers a wide range of sports and activities, but running shoes take the lead in terms of sales. Understanding the customers’ needs and wants Increasing sales from both its footwear and apparel units resulted in Under Armour’s global net sales exceeding five billion U.S. dollars for the first time in 2018. The company succeeded by responding to shifts in consumer preferences: a growing interest in performance products and the acknowledgement of the benefits of an active lifestyle. When Under Armour first launched in 1996, it focused on compression shirts for men, but the company has since expanded its reach to focus on athletic apparel needs of female athletes, women in general, as well as young people.