During an April 2024 survey, approximately 38 percent of consumers in the United Kingdom (UK) stated they had encountered misleading online advertisements a few times. Meanwhile, 29 percent said they had seen them several times, and 24 percent had experienced them many times.
In a survey conducted in September 2020 across India, ** percent of the respondents believed cosmetic products and services to be the main source of misleading advertisements in the country. On the other hand, ads related to banking and financial services were found to be the least deceptive.
In the fourth quarter of 2021, **** percent of ad impressions from the United Kingdom were fraudulent. That was the highest value among the countries presented in the data set. The lowest value was detected in Japan, with *** percent of ad impressions.
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This competition involves advertisement data provided by BuzzCity Pte. Ltd. BuzzCity is a global mobile advertising network that has millions of consumers around the world on mobile phones and devices. In Q1 2012, over 45 billion ad banners were delivered across the BuzzCity network consisting of more than 10,000 publisher sites which reach an average of over 300 million unique users per month. The number of smartphones active on the network has also grown significantly. Smartphones now account for more than 32% phones that are served advertisements across the BuzzCity network. The "raw" data used in this competition has two types: publisher database and click database, both provided in CSV format. The publisher database records the publisher's (aka partner's) profile and comprises several fields:
publisherid - Unique identifier of a publisher. Bankaccount - Bank account associated with a publisher (may be empty) address - Mailing address of a publisher (obfuscated; may be empty) status - Label of a publisher, which can be the following: "OK" - Publishers whom BuzzCity deems as having healthy traffic (or those who slipped their detection mechanisms) "Observation" - Publishers who may have just started their traffic or their traffic statistics deviates from system wide average. BuzzCity does not have any conclusive stand with these publishers yet "Fraud" - Publishers who are deemed as fraudulent with clear proof. Buzzcity suspends their accounts and their earnings will not be paid
On the other hand, the click database records the click traffics and has several fields:
id - Unique identifier of a particular click numericip - Public IP address of a clicker/visitor deviceua - Phone model used by a clicker/visitor publisherid - Unique identifier of a publisher adscampaignid - Unique identifier of a given advertisement campaign usercountry - Country from which the surfer is clicktime - Timestamp of a given click (in YYYY-MM-DD format) publisherchannel - Publisher's channel type, which can be the following: ad - Adult sites co - Community es - Entertainment and lifestyle gd - Glamour and dating in - Information mc - Mobile content pp - Premium portal se - Search, portal, services referredurl - URL where the ad banners were clicked (obfuscated; may be empty). More details about the HTTP Referer protocol can be found in this article. Related Publication: R. J. Oentaryo, E.-P. Lim, M. Finegold, D. Lo, F.-D. Zhu, C. Phua, E.-Y. Cheu, G.-E. Yap, K. Sim, M. N. Nguyen, K. Perera, B. Neupane, M. Faisal, Z.-Y. Aung, W. L. Woon, W. Chen, D. Patel, and D. Berrar. (2014). Detecting click fraud in online advertising: A data mining approach, Journal of Machine Learning Research, 15, 99-140.
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Targeted Advertising Statistics: Targeted advertising is a marketing strategy where ads are tailored to specific groups of people based on their interests, behaviors, demographics, or online activity. Instead of showing the same message to everyone, targeted ads aim to reach the right audience with relevant content. This makes the ads more likely to engage people and lead to sales.
However, there are challenges like privacy issues, changing regulations, and the need to keep up with shifting consumer preferences. To stay effective, companies must keep improving their targeting strategies. This article will guide you accordingly, as it includes several current trends and analyses from different insights of recent years.
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Location Based Advertising Statistics: In the modern digital era advertising has become more personal and more targeted. One of the trends that fall within this paradigm is LBA, a.k.a. Location-Based Advertising. LBA offers ads based on geographic data to enhance the relevance and engagement of advertising based on an individual's current location.
By the end of 2024, the LBA market will have grown with the help of advancements in technology and changes in consumer behavior.
In this article, we discuss the latest data, trends, and insights related to Location Based Advertising statistics in 2025.
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People think of paid advertising as the holy grail of digital marketing. The truth is that paid ads can deliver excellent results for your business very quickly. Here are some digital marketing statistics about paid advertising to keep in mind.
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The film Vina: Sebelum 7 Hari sparked significant public discourse in Indonesia, largely due to its treatment of a sensitive and real-life tragedy involving sexual violence. However, critical responses also emerged surrounding how the film was marketed to audiences, particularly regarding allegations of false advertising—more specifically, the misframing of rape as "bullying." This qualitative study triangulates insights from three experts—specialists in gender studies, criminology, and sexual violence task forces—to examine how promotional content diverges from the narrative and ethical reality of the film. This report details their coded observations of promotional materials and the film’s content using a structured coding framework. The primary codes used include Misleading Framing (MF), Representation of Rape (RP), Physical Violence (PV), Symbolism of Sadness (SS), Horror Tone (HT), Misleading Campaign (MC), and Sexual Intimidation (SI).
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Gain a competitive edge with our comprehensive Advertising Dataset, designed for marketers, analysts, and businesses to track ad performance, analyze competitor strategies, and optimize campaign effectiveness.
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Customizable Subsets for Specific Needs Our Advertising Dataset is fully customizable, allowing you to filter data based on platform, ad type, engagement levels, or specific brands. Whether you need broad coverage for market research or focused data for ad optimization, we tailor the dataset to your needs.
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Targeted Advertising & Audience Segmentation: Refine ad targeting by analyzing competitor content, audience demographics, and engagement trends. Campaign Performance Analysis: Measure ad effectiveness by tracking engagement metrics, reach, and conversion rates. Competitive Intelligence: Monitor competitor ad strategies, influencer collaborations, and promotional trends. Market Research & Trend Forecasting: Identify emerging advertising trends, high-performing content types, and consumer preferences. AI & Predictive Analytics: Use structured ad data to train AI models for automated ad optimization, sentiment analysis, and performance forecasting.
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The summary statistics by North American Industry Classification System (NAICS) which include: operating revenue (dollars x 1,000,000), operating expenses (dollars x 1,000,000), salaries wages and benefits (dollars x 1,000,000), and operating profit margin (by percent), of all NAICS under advertising, public relations, and related services (NAICS 5418), annual, for five years of data.
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Global ad spend were expected to reach over $134 billion in 2022. This means that it has increased by over 17% yearly.
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The global advertising market size was valued at approximately $700 billion in 2023 and is projected to reach around $1.2 trillion by 2032, growing at a CAGR of about 6.2% during the forecast period. The primary growth factor driving this market is the rapid expansion of digital platforms and the increasing importance of targeted advertising. The proliferation of smartphones and the internet has significantly transformed the advertising landscape, enabling advertisers to reach their audience more efficiently and effectively.
A major growth factor for the advertising market is the ever-increasing penetration of digital devices and internet connectivity. With more than half of the global population now having access to the internet, advertisers have an unprecedented opportunity to reach a vast audience. The rise of social media platforms, search engines, and video-sharing sites has further enabled highly targeted and measurable advertising campaigns, which have proven to be more efficient and cost-effective compared to traditional advertising methods.
Another significant driver is the advancements in data analytics and artificial intelligence. These technologies allow advertisers to analyze vast amounts of consumer data to understand behavior patterns and preferences, enabling them to create highly personalized and relevant advertisements. AI-driven programmatic advertising is gaining traction, as it automates the buying process of ads and optimizes them in real-time based on performance metrics, thus ensuring higher engagement rates and better ROI.
The shift towards mobile advertising also contributes significantly to market growth. With the increasing use of smartphones and mobile applications, advertisers are focusing more on mobile platforms to reach consumers. Mobile advertising offers unique advantages such as location-based targeting and the use of interactive content, which can enhance user engagement. Additionally, the development of 5G technology is expected to further boost mobile advertising by providing faster data speeds and more reliable connections, creating new opportunities for innovative ad formats.
In the evolving landscape of advertising, Experiential Advertising Agency Services have become increasingly vital. These services focus on creating immersive and interactive experiences that engage consumers on a deeper emotional level. By leveraging experiential marketing, brands can foster stronger connections with their audience, leading to enhanced brand loyalty and advocacy. This approach allows consumers to experience a brand's message firsthand, often through events, pop-up installations, or interactive digital experiences. As the advertising market continues to grow, the demand for experiential services is likely to rise, offering unique opportunities for brands to differentiate themselves in a crowded marketplace.
Regionally, the Asia Pacific region is emerging as a significant market for advertising, driven by the expanding middle-class population, increasing urbanization, and growing internet penetration. Countries like China and India are experiencing rapid growth in digital advertising, fueled by their large populations and thriving e-commerce sectors. North America and Europe continue to be mature markets with substantial advertising spending, particularly in digital formats. The Middle East & Africa and Latin America are also witnessing growth, albeit at a slower pace, as they gradually adopt digital advertising technologies.
The advertising market is segmented by type, which includes Digital Advertising, Traditional Advertising, Out-of-Home Advertising, and Others. Digital advertising has seen the most rapid growth and is expected to continue dominating the market. It encompasses various formats such as display ads, video ads, social media ads, search engine marketing, and more. The key advantage of digital advertising is its ability to target specific demographics and measure campaign performance in real-time, providing valuable insights for advertisers. This segment's growth is further fueled by increasing internet usage and the proliferation of digital content platforms.
Traditional advertising, which includes print media, television, and radio, still holds a significant share of the market. Television remains a powerful medium for reaching a broad audience, especially for brand-building campai
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In this blog are the latest Facebook advertising statistics that show how effective Facebook ads are now and what’s likely to happen in the future.
At VisitIQ™, we provide a wealth of consumer marketing data to help businesses unlock deeper insights and optimize their B2C strategies. Our extensive and meticulously curated datasets are designed to provide a 360-degree view of your target consumers, combining a wide range of behavioral, demographic, and psychographic data points to deliver actionable insights that drive measurable results.
Our comprehensive consumer marketing database is built to fuel data-driven marketing strategies. With our rich behavioral insights, you can understand not just who your customers are, but also how they interact with your brand, what they are looking for, and what motivates their purchasing decisions. By tracking online and offline behaviors, preferences, purchase history, and engagement patterns, VisitIQ™ enables you to segment your audience more effectively and craft personalized marketing messages that resonate with your ideal customer profiles.
In addition to behavioral insights, our datasets provide detailed demographic information, including age, gender, location, income level, education, and household characteristics. This allows you to pinpoint your marketing efforts with incredible precision, reaching the right audience with the right message at the right time. Our data also includes psychographic attributes, such as lifestyle preferences, interests, and values, providing a deeper understanding of what drives consumer behavior and helping you create more compelling and relevant content.
VisitIQ's™ platform integrates seamlessly with your existing marketing stack, enabling you to utilize our consumer marketing data across multiple channels, from digital and social media to email and direct mail. With our data, you can improve targeting, increase engagement, reduce customer acquisition costs, and ultimately achieve a higher return on your marketing investment.
Whether you’re looking to attract new customers, retain existing ones, or re-engage lapsed consumers, VisitIQ™ provides the data you need to build effective, data-driven B2C marketing strategies. Our comprehensive datasets empower you to make informed decisions, optimize your marketing campaigns in real-time, and drive successful outcomes.
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Per Local Law 83 of 2021, the Mayor's Office of Ethnic and Community Media is required to report annually on each agency's full advertising spend across all media categories, including ethnic and community (ECM), mainstream, out-of-home, social media, etc. This dataset reflects the raw data that MOECM received from City Agencies on their annual advertising spend. For more information, please visit the MOECM website.
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Podcast Advertising Statistics: Podcast advertising refers to media advertising that tends to take place in a podcast episode. It has emerged as a dynamic and rapidly growing media landscape, transforming how audiences consume audio content. By going through Podcast Advertising Statistics, we can learn about global podcast trends, explore revenue streams, listener demographics, market dynamics, and the evolving ecosystem of digital audio entertainment across different countries and platforms, and understand the aspects that have promoted it to become a popular media for advertising.
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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.
In the 12 months spanning August 2023 and July 2024, over ** percent of respondents to a survey on trust in advertising in India reported having encountered several instances of misleading and false advertisements by celebrities. The survey also indicated that consumer trust in advertising in India was low that year. Misleading advertisements surged in India since the onset of the COVID-19 pandemic.
Adveritising data and real time bidding data from multiple screens (TV, mobile, and web) and detailed performance metrics that span impressions, clicks, geographic data, view-ability, and demographic targeting. Our dataset ensures high accuracy, derived from a proprietary advertising technology platform trusted by leading brands and agencies to deliver cross-platform campaigns.
This dataset includes key metrics from ad auctions, bids & wins such as: -impressions -geographic data -clicks -viewability -demographic targeting -click-through rates (CTR)
How is the data generally sourced?
This dataset is sourced from auction-level insights, tracking bids, wins, and performance metrics across major ad exchanges and programmatic platforms. Data collection adheres to strict compliance standards, ensuring transparency and reliability.
What are the primary use cases or verticals of this Data Product?
Primary use cases include:
Predictive analytics: Build models to forecast campaign success.
Audience segmentation: Create more personalized and targeted ad experiences.
Campaign optimization: Optimize ad placement, timing, and performance.
Ad personalization: Drive engagement by tailoring ads to demographic and geographic audiences.
Industries served include advertising, media, retail, and e-commerce, with applicability in both programmatic and direct ad placements.
Advertising Data is a key component of our comprehensive data suite, designed to empower companies and marketers with actionable insights. Enables a holistic view of the advertising ecosystem, helping clients achieve higher ROI and better campaign outcomes.
On September 30, 2020, AB 323 (Ch. 341, Stats. 2020) was passed and chaptered into law thereby establishing the requirement for DGS to post on its Internet website purchases related to marketing and outreach advertising materials for every state office, officer, department, division, bureau, board, and commission identified in GC 11000, and including the California State University. These purchases must be further disaggregated to show placement of marketing and outreach advertising materials targeting communications with specific ethnic communities including but not limited to Latino, African American, Asian-Pacific Islander, Indigenous, Middle Eastern and LGTBQIA communities as outlined by Public Contract Code 11800-11804.
During an April 2024 survey, approximately 38 percent of consumers in the United Kingdom (UK) stated they had encountered misleading online advertisements a few times. Meanwhile, 29 percent said they had seen them several times, and 24 percent had experienced them many times.