Web Push Advertising involves sending targeted promotional messages directly to users’ web browsers, regardless of whether they are actively visiting a specific website. This form of advertising leverages web push notifications to deliver short, concise messages containing offers, announcements, updates, or calls to action. Web Push Advertising spending refers to the advertising budget allocated by advertisers to the creation and distribution of web push advertisements.
Web Push Advertising comprises advertising spending 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.
The advertising budget used for web push advertisements
Software fees for creating and distributing web push advertisements
The data encompasses B2B enterprises. Figures are based on Web Push Advertising spending and exclude agency commissions, rebates, production costs, and taxes. The market covers the advertising budget used for distributing web push advertisements.
Market sizes are determined through a bottom-up approach, building on specific predefined factors for each market. As a basis for evaluating markets, we use annual financial reports of the market-leading companies and industry associations, third-party studies and reports, survey results from our primary research (e.g., the Statista Consumer Insights Global survey), as well as performance factors (e.g., user penetration, usage). In addition, we use relevant key market indicators and data from country-specific associations, such as GDP, number of internet users, and internet coverage. This data helps us estimate the market size for each country individually.
In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques is based on the behavior of the relevant market. For example, 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. The main drivers are GDP per capita, consumer spending per capita, and internet users.
The data is modeled using current exchange rates. The impact of the COVID-19 pandemic and the Russia-Ukraine war are considered at a country-specific level. The market is updated twice a year. In some cases, the data is updated on an ad hoc basis (e.g., when new, relevant data has been released or significant changes within the market have an impact on the projected development). Data from the Statista Consumer Insights Global survey is reweighted for representativeness.