As of September 2024, approximately ** percent of adults surveyed in the United States said they had seen or heard a social media advertisement that caused them to buy a product, while ** percent reported watching a TV commercial that led them to make a purchase. However, the shares varied depending on the interviewees' age group. Around ** percent of Gen Zers shopped after seeing a social ad, while ** percent of Gen Xers did so after watching a TV commercial.

Around *************** consumers interviewed in a 2024 survey considered getting recommendations from a brand based on past purchases cool. Shoppers also liked to receive personalized offers and email reminders about an abandoned shopping cart. On the other hand, ** percent of respondents stated that ads based on location data were creepy.

Introduction

Social Media Marketing Statistics: Social media marketing is a key part of any digital marketing plan today. With over 50% of the world’s population using social media, brands need to be active on these platforms. But it’s not just about making profiles and posting content. Effective social media marketing involves keeping up with changing algorithms and trends and understanding the behaviors of your target audience. Social media’s interactive and engaging nature helps businesses connect with their audience in ways they couldn’t before.

This opens up new opportunities for engaging with people, building the brand, and doing direct marketing. We shall shed more light on Social Media Marketing Statistics through this article.

Introduction

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.

According to Cognitive Market Research, the global Mobile Advertising Market was valued at approximately USD XX billion in 2025 and is expected to grow to USD XX billion by 2031, expanding at a CAGR of XX% during the forecast period.

North America held largest share of XX% in the year 2025. Europe held share of XX% in the year 2025. Asia-Pacific held significant share of XX% in the year 2025. South America held significant share of XX% in the year 2025. Middle East and Africa held significant share of XX% in the year 2025. Market Dynamics Key Drivers

Consumer behavior – The mobile first is a key driver in the mobile advertising market

Consumer behavior has increasingly shifted towards a mobile-first approach, driven by the widespread use of smartphones and the availability of mobile internet. This surge in mobile connectivity has transformed consumer behavior with individuals increasingly relying on smartphones for daily activities like shopping, entertainment and financial transactions. The convenience and portability of mobile devices have them a preferred medium for tapping into digital services which has led businesses to adopt mobile-first strategies to engage with consumers.

For instance,

As of 2023, over half (54%) of the global population use smartphones. 
49% of the global population use mobile internet on smartphones.

(Source:https://www.gsma.com/newsroom/press-release/smartphone-owners-are-now-the-global-majority-new-gsma-report-reveals/)

This shift has led to an increase in mobile ad spending. Advertisers are no focusing on campaigns designed for smaller screens and shorter attention spans to reach a wider audience.

The rise of social media is driving the growth of mobile advertising

The growth of mobile advertising is heavily influenced by the rise of social media and its increased usage on mobile devices. Social media platforms such as Facebook, Instagram, Twitter have become major hubs for mobile advertising.

For instance,

 5.24 billion use social media worldwide, as of January, 2025.Facebook remains to be the leading social media platform with over 3 billion monthly active users, followed by YouTube with 2.5 billion and Instagram with 2 billion monthly active users.
90% of consumers rely on social media to keep up with trends and cultural moments and nearly half of them interact with brands more often on social media platforms. 

(Source: https://backlinko.com/social-media-users)

https://sproutsocial.com/insights/social-media-statistics/#social-media-usage-statistics)

The rise of in-app advertising across these platforms with the growing popularity of video and interactive ad formats has further fueled the market growth. Such advertising also leverages data to optimize targeting and engagement, leading to more effective campaigns. Paid ads now dominate social feeds.

For instance, the total spend on social media advertising is expected to reach $276 billion in 2025. It is projected that more than 80% of this spend will be generated though mobile by 2030.

(Source:https://sproutsocial.com/insights/social-media-statistics/#social-media-advertising-statistics-and-roi)

Key Restraints

Data privacy concerns to hinder mobile advertising market

Mobile phones have become a personal hub for information. With the increasing amount of sensitive data stored on these devices, privacy concerns have emerged as one of the most pressing issues. These concerns significantly hinder mobile advertising by leading to consumer distrust, ad avoidance and increased regulations that impact the effectiveness and reach of ad campaigns.

Consumers are becoming more aware of how their data is being collected and used under the context of mobile advertising, making them actively avoid interacting with ads and uninstalling apps they believe violate their privacy. This has also led to widespread adoption of ad-blocking technologies.

For instance, as of 2024, 43% of global internet users use ad-blocking tools with mobile device users accounting for 63% of them. 

(Source: https://seosandwitch.com/new-ad-blocking-stats/)

This trend is largely driven by the growing desire to protect personal data. However, the same has had implications on advertisers. Regulatory development amid these concerns further add to the challenges faced by the mobile industry market. Strict data privacy laws have b...

Global ad spend were expected to reach over $134 billion in 2022. This means that it has increased by over 17% yearly.

Industry research found that the click-through rate of search ads worldwide stood at **** percent in the second quarter of 2024. Click-through rate is the share of clicks an ad receives in the number of users that view it.

During a 2023 survey, ** percent of responding marketers from across the world stated they often or sometimes used Facebook ads in their work. According to the results of this survey, Facebook was the most used ad platform. Instagram ranked second, with ** percent of respondents saying they often or sometimes used ads on this platform.

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.

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.

Graph and download economic data for Producer Price Index by Industry: Internet Publishing and Web Search Portals: Internet Publishing and Web Search Portals - Search and Textual Advertising Sales (PCU519130519130101) from Dec 2009 to Oct 2020 about advertisement, internet, printing, sales, PPI, industry, inflation, price index, indexes, price, and USA.

Paid internet advertising (%) by Type of advertising and Year

View data using web pages

Download .px file (Software required)

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.

Using the CrowdTangle API, each of the pink slime news domains was input and searched for public Facebook Page and Group posts from 2019-2024. Since the maximum number of posts possible to return is 1,000, I created a recursive function to halve the timeframe until fewer than 1,000 posts were available and then add in the posts from all the remaining time frames. Each row is a different post from a public Facebook Page or Group linking to a known pink slime website.Ads were collected via facebook.com/ads/library using the United States location and “Issues, elections or politics” ad category. Each of the ad purchasers listed above was a separate keyword that generated its own csv via the ad library. These csv's were then uploaded into a Python dataframe and concatenated into a single dataframe. Each row represents a different ad that ran on Meta's platforms and was paid for by a pink slime news parent organization.

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.

Unlock the full potential of your consumer marketing efforts with VisitIQ™. Transform your approach with powerful insights, sharpen your competitive edge, and achieve unparalleled marketing success.

Graph and download economic data for Producer Price Index by Industry: Advertising Agencies (PCU5418154181) from Dec 2003 to Jul 2025 about advertisement, agency, PPI, industry, inflation, price index, indexes, price, and USA.

This data set contains pounds and value for all seafood products that are landed and sold by established seafood dealers and brokers in the SE Region of the US mainland. In the US Caribbean, the landings are reported by permitted fishers. These types of data, referred to as the general canvass landings statistics, have been collected by the NOAA Fisheries Service, National Marine Fisheries Service and its predecessor agency, the Bureau of Commercial Fisheries. These data are available on computer since the mid 1920s. The quantities and values that are reported in this data set include monthly landings that were initiated in 1972. Between 1926 and 1971, data were collected annually and not monthly. Mixed annual and monthly data occur from 1972-1976 according to State and year. The general canvass landings include quantities and value for all commercially caught marine species and are identified by species or species group. These data are collected from or reported by every seafood dealer or broker that is licensed by each state in the Southeast Region (North Carolina through Texas). In addition, information on the gear and area of capture is available for most of the landings statistics in the data set except for Florida 1977-1996 and Louisiana 1992-1999. However, because these data are summaries, they do not contain information on the quantities of fishing effort or identifications of the fishermen or vessels that caught the fish or shellfish. In early years, these data were collected by field agents employed by the Southeast Fisheries Science Center and assigned to local fishing ports. These individuals would canvass the seafood dealers and record the quantity and value for each species or species category from the sales receipts maintained by the seafood dealers. Based on their detailed knowledge of the fishing activity in the area, the agents would estimate the type of fishing gear and area where the fishing was likely to have occurred. It should be noted that landings by gear and water body (fishing area) does not reside in the monthly landings data set for Florida for the years, 1977-1995, Louisiana 1990-1999, and Texas (for gear) from 1993 to present (this is subject to change for years 2008 and more recent). Annual landings by gear, water body and distance from shore are available in the Annual General Canvass data for Florida. More detailed information on the caveats associated with these data is provided in the Issues section. In more recent years, the states in the Southeast Region began to implement trip ticket programs that required the licensed seafood dealer/brokers to report the landings of all seafood products. A trip ticket program was initiated in Florida in 1985, in North Carolina in 1994, in Louisiana in 1999, in Alabama in 2000, and in Texas in 2007. In addition to the quantities of these landings, the states require dealers to report the price, the type of gear and the fishing area for each trip. Through cooperative agreements with each of the states, monthly summaries of the states trip ticket programs are provided to the Southeast Fisheries Science Center (SEFSC) and are included in the general canvass landings data set. In addition, summarized data are extracted from the NOAA-SEFSC Gulf Shrimp System for commercial landings of shrimp species that are landed at port in the coastal area of the Gulf of Mexico.

Financial overview and grant giving statistics of Ads Foundation

In December 2024, the average monthly cost-per-click (CPC) in Google Ads search advertising for the marketing and advertising industry in the United States reached **** U.S. dollars and was the highest among the presented countries. In France, the value stood at ** U.S. cents.