This dataset provides a comprehensive view of the online advertising performance for "Company X" over a three-month period in 2020. Here's an overview of its components and potential analyses you can perform:

Dataset Components: Day: Date of the advertising campaign. Campaign: Specific group targeting variable set by Company X. User Engagement: Level of user interaction with the ads. Banner: Ad size served by "Advert Firm A". Placement: Publisher space where ads are served (websites/apps). Displays: Number of ads shown by "Advert Firm A". Cost: Price paid to serve the ads to the publisher. Clicks: Number of times users clicked on the ads. Revenue: Amount

In 2024, digital pure players (companies that operate primarily online, such as Google or Amazon) generated an advertising revenue of *** billion U.S. dollars worldwide. In 2025, their ad revenue is forecast to amount to *** billion dollars.

The Social Media Ad Optimization Dataset provides a comprehensive collection of user interaction data related to digital advertising campaigns. It is designed to support research in predictive modeling, targeted advertising, and AI-driven campaign optimization.

Key Features: User Demographics: Age, gender, location, and interests.

Ad Metadata: Ad ID, category, platform, type, and textual content.

User Engagement Data: Impressions, clicks, conversions, and time spent on ads.

Temporal Information: Interaction timestamps and day of the week.

Device Insights: Device type used for accessing the ad.

Applications: Ad engagement prediction and conversion modeling.

Behavioral analysis for personalized targeting.

Optimization of ad delivery strategies using AI.

In 2023, the online advertising market in Poland was worth **** billion zloty. By 2028, the sector's revenue will grow to ********** zloty, with a CAGR of **** percent between 2023 and 2028.

Spending on online advertising has surged, and it has become the preferred advertising medium over traditional channels like TV and print. This has been driven by a significant shift in consumer behaviour towards the internet, social media and online shopping, which consumers became more accustomed to during the pandemic. Advertising agencies are navigating increasing privacy concerns and stricter regulations, highlighted by the $60.0 million fine against Google for misleading data practices. Profitability has expanded as companies adopt artificial intelligence, with more than one-quarter of Google's code now being AI-generated and major companies like Facebook reducing labour costs through significant workforce cuts. Industrywide revenue has been climbing at an annualised 8.2% over the past five years and is expected to total $17.1 billion in 2024-25, when revenue will climb by 5.7%. The Online Advertising industry exhibits high market share concentration because of the substantial barriers to entry and the dominance of major players Google and Facebook. Google leads the search engine market, controlling around 95%, largely because it is the default search engine on popular browsers like Chrome and Safari. Access to large user volumes is crucial for online advertisers, as it encourages companies to increase spending on online ads. Extensive user data is also essential for training algorithms to deliver targeted advertising, enabling firms like Google, REA Group and Facebook Australia to charge higher premiums for their services. This data advantage, international firms' larger budgets and fewer regulatory constraints make it challenging for domestic companies to compete. The Online Advertising industry is on track to continue expanding, although at slower rates. Privacy concerns and stricter data usage regulations are set to limit advertisers' access to consumer data, especially with major web browsers' phasing out of third-party cookies. This will compel advertisers to innovate and emphasise first-party data by creating engaging, interactive experiences to encourage users to share information willingly. Adopting artificial intelligence technologies will enable advertisers to optimise ad placements, better understand user behaviour and reduce labour dependence. Industry revenue is forecast to expand at an annualised 6.8% through 2029-30 to total $23.8 billion.

In 2023, around *** trillion South Korean won were spent on internet advertising seen on computers. This represents a slight increase from the previous year. Spending was forecast to increase over the next two years. Spending on online advertisements has simultaneously been growing, and has shown no signs of slowing down. In 2023, most of this spending was for mobile ads. YouTube’s advertising dominance YouTube dominates the online advertising space in South Korea, with a potential advertising reach of around ** million people as of January 2024, far surpassing other social media platforms. This was followed by Instagram, showing a trend favoring video and image-based social media platforms over more traditionally text-based ones. While the preference for YouTube and Instagram is reflected in spending on online video ads, such types of ads came second in terms of overall spending on different online ad formats. The rise of influencer advertising A 2023 survey found that over ** percent of respondents had purchased influencer-endorsed products, with YouTubers being the most common type of influencer people bought products from. This further aligns with the platform’s overall success as a social media marketing medium. While spending on influencer advertising was low overall in South Korea, the fact that entertainment value was the main driver for clicking on social media ads in 2023 is a useful foundation for the potential expansion of the influencer sector.

14 Datasets used in experiments contain user data of the day of online advertisements from a cross-border e-commerce enterprise from September 1st (9.01) to September 14th (9.14), 2018. Table 3 summarizes the 14 datasets. Each instance of the datasets represents the corresponding online advertisement and is described by 22 attributes.

Mobile has become the main way to access online content. Mobile devices now account for 55% of the global market share of online access with desktops coming in second place at 43%.

In 2024, digital advertising accounted for approximately ** percent total media advertising spending in Latin America. The share was highest in North America, where it stood at **** percent.

This dataset captures user engagement with social media advertisements, providing insights into how different demographics interact with online ads. It includes various attributes related to users, ad content, and engagement metrics, making it suitable for machine learning tasks such as ad performance prediction, personalized recommendations, and sentiment analysis.

The target column (engaged) indicates whether a user interacted with an ad (1 for engagement, 0 for no engagement), making it ideal for classification tasks.

Key Features: User Demographics:

user_id: Unique identifier for each user

age: Age of the user

gender: Gender of the user (Male, Female, Other)

location: User’s geographic region

Ad Characteristics:

ad_id: Unique identifier for each ad

ad_type: Type of advertisement (Image, Video, Text, Carousel)

ad_duration: Length of the ad (in seconds, for video ads)

ad_category: Category of the advertisement (e.g., Fashion, Technology, Food)

Engagement Metrics:

clicks: Number of times the user clicked on the ad

likes: Number of likes the ad received from the user

shares: Number of times the ad was shared by the user

view_time: Time spent viewing the ad (in seconds)

Behavioral Attributes:

previous_interactions: Number of past interactions with similar ads

device_type: Device used to view the ad (Mobile, Desktop, Tablet)

time_of_day: Time when the user viewed the ad (Morning, Afternoon, Evening, Night)

Target Column:

engaged: Binary target variable (1 = User engaged, 0 = No engagement)

Verified dataset of healthcare marketing in 2025: U.S. digital ad spend, patient search behavior, online reviews, SEO & social trends, and email benchmarks.

Publisher Name: Eurostat

This data is gathered by Eurostat and is available in European Commission online for free. you can check it out by this link.

European Union is the covered area in this data set and covers from 2013 to 2021 and is a 44456 * 11 dataset.

This Data Set is containing Social media use by type, internet advertising and size class of enterprise.

This data identifies by isoc_cismt.

Online Advertising Market is Segmented by Advertising Format (Social Media, Search Engine, and More), Platform (Mobile, Desktop and Laptop, and Other Platforms), End-User Vertical (Automotive, Retail and E-Commerce, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

A large company with a substantial user base plans to increase sales through advertisement on its website. However, they are still undecided about whether the ads increase sales or not. In order to determine whether this is the case, 20000 customers were subjected to A/B testing for 31 days.

Columns customerID: unique identifier for the customer test group: composed of 60% 'ad' and 40% 'psa' group. made_purchase: A Boolean value representing whether or not the user made a purchase after seeing an advertisement. days_with_most_add: A day of the month when the user saw the most ads. peak ad hours: An hour of the day when the user saw the most ads. ad_count: total number of ads seen by each user.

Graph and download economic data for Producer Price Index by Commodity: Advertising Space and Time Sales: Internet Advertising Sales, Excluding Internet Advertising Sold by Print Publishers (WPU365) from Dec 2009 to Dec 2022 about advertisement, internet, printing, sales, commodities, PPI, inflation, price index, indexes, price, and USA.

During a survey published in October 2024, ** percent of responding global brands stated they were planning to significantly increase their retail media budgets in 2025. Another ** percent said they were planning to slightly increase them.

This dataset includes the data required to reproduce the findings in our article.

Introduction

Online Video Consumption Statistics: Video is now the top choice for content. With 93% of marketers using video in their overall marketing plans, the role of video in marketing has grown significantly in recent years. Social media companies have also boosted this trend by focusing on tools for creating video content.

If you need more clarification about investing in video marketing, this article gathers the latest trends from various studies. Video marketing gives marketers many ways to grow their business and promote their brands. This article will shed more light on "Online Video Consumption Statistics†.

Introduction

Content Marketing Statistics: Content marketing has evolved into a powerful and results-oriented strategy for organizations in 2024, aiding in customer engagement, loyalty, and sales. As digital platforms proliferate and consumers begin to rely on Internet resources, businesses are putting more money into content creation to compete effectively.

For instance, the article will discuss content marketing statistics for the year 2025, with specific emphasis on market trends, spending patterns, and consumer behavior. It will incorporate figures, percentages of ages, and explanations in an understandable manner.

The Online Display Advertising Market Report is Segmented Into Ad Format (Banner Ads, Video Ads, Interactive Ads, Pop-Ups and Overlays, Other Ad Formats), Device Type (Desktop, Mobile and More), Industry Vertical (Retail and E-Commerce, Media and Entertainment, Automotive, and More), and Geography. The Market Sizes and Forecasts are Provided in Terms of Value (USD).