Classifieds refer to online advertising posts that list products and services in categories. Advertising spending on Classifieds includes the fees advertisers pay to display an online ad and to list it in a specific category. The fee has to be paid by the advertiser regardless of the outcome of the ad and does not depend on factors such as the ad's position, size, or display duration.
Advertising spending on Classifieds is separated into four categories: Jobs, Motor, Real Estate, and General.
Jobs covers ads by businesses offering permanent employment (e.g., Indeed, Monster)
Motor covers ads by companies or consumers offering vehicles for purchase (e.g., Cars.com)
Real Estate covers ads by companies or consumers offering real estate for rent or purchase (e.g., Roofstock)
General covers all forms of ads that are not included in the other categories, including consumers (private individuals) looking for other private individuals to complete small-scale, non-permanent jobs (such as contractor services) for them (e.g., TaskRabbit)
The Classifieds market comprises advertising spending, users, and average revenue per user. The market only displays B2B spending. Figures are based on advertising spending and exclude agency commissions, rebates, production costs, and taxes. For more information on the data displayed, use the info button right next to the boxes.
Fees paid by advertisers in order to display an online ad or listing around a specific vertical
Other advertisements (e.g. banners) on classifieds websites
In the early 2000s, there was a significant shift in the advertising strategies for classifieds. Offline classifieds advertising was once the most popular and effective advertising strategy. For example, people used classifieds in newspapers to look for local deals. However, as the digital era has progressed, digital classifieds have surpassed all classifieds categories (real estate, automotive, jobs, and general) due to reduced costs, shorter processing times, higher return on investment, and more precise targeting.
Moreover, technology has experienced significant developments in the past years, resulting in changed usage behavior by both the advertisers and their target audiences. Internet-enabled devices have become everyday products for many people, and the internet infrastructure has become faster and more affordable. Therefore, digital tools have become a popular choice for advertisers to reach specific target groups.
Digital classifieds advertising grew the least of all digital advertising strategies (digital banner, digital video, search, and social media advertising), although it still showed a positive trend. The cost of digital classifieds advertising is significantly lower compared to other strategies, and it keeps advertisers focused on the business and its location to target consumers who are more likely to make a purchase. With these advantages, digital classifieds advertising is expected to continue developing in the coming years.
Data encompasses enterprises (B2B). Figures are based on classifieds advertising spending and exclude agency commissions, rebates, production costs, and taxes. The market covers classifieds advertising fees paid by advertisers to display online jobs, motor, real estate, and general classifieds.
Market size is determined by a combined top-down and bottom-up approach. We use market data from industry association reports, third-party reports, and survey results from our primary research (e.g., Statista Global Consumer Survey) to analyze the markets. To estimate the market size for each country individually, we use relevant key market indicators and data from country-specific industry associations, such as GDP, internet users, and digital consumer spending.
We use a variety of forecasting techniques, depending on the behavior of the market. For instance, the S-curve function is well suited to forecast digital products due to the non-linear growth of technology adoption, whereas exponential trend smoothing (ETS) is more suited for projecting steady growth in traditional advertising markets.
Data is modeled using current exchange rates. The impacts of the COVID-19 pandemic and the Russia-Ukraine war are considered at a country-specific level. The market is updated twice per year in case market dynamics change.