The Direct Messaging Advertising market in CIS is experiencing steady growth and development due to several key factors. Customer preferences for personalized and targeted advertising, along with the increasing popularity of messaging apps, have contributed to the growth of this market. Additionally, local special circumstances and underlying macroeconomic factors have also played a role in shaping the trends in the Direct Messaging Advertising market in CIS. Customer preferences in the CIS region have shifted towards personalized and targeted advertising. Consumers are increasingly seeking ads that are relevant to their interests and needs, and direct messaging platforms provide an effective way to deliver such ads. By leveraging user data and analytics, advertisers can tailor their messages to specific individuals or groups, increasing the likelihood of engagement and conversion. This customer preference for personalized advertising has driven the growth of the Direct Messaging Advertising market in CIS. Another factor contributing to the development of the market is the increasing popularity of messaging apps in the CIS region. Messaging apps have become an integral part of people's daily lives, offering a convenient and efficient way to communicate with others. As a result, these platforms have attracted a large user base, providing advertisers with a valuable opportunity to reach a wide audience. The ability to seamlessly integrate ads within the messaging experience has made direct messaging platforms an attractive channel for advertisers, further fueling the growth of the market. In addition to customer preferences and the popularity of messaging apps, there are also local special circumstances that have influenced the Direct Messaging Advertising market in CIS. The region has a diverse population with different languages and cultural preferences. Advertisers need to consider these factors when designing their campaigns to ensure they resonate with the local audience. Localization and customization are key strategies to effectively engage consumers in the CIS region. Underlying macroeconomic factors also play a role in shaping the trends in the Direct Messaging Advertising market in CIS. Economic growth and increasing disposable incomes have led to higher consumer spending, creating a favorable environment for advertisers. As consumers have more purchasing power, they are more likely to respond positively to targeted advertising messages, driving the demand for Direct Messaging Advertising services. In conclusion, the Direct Messaging Advertising market in CIS is growing and developing due to customer preferences for personalized and targeted advertising, the increasing popularity of messaging apps, local special circumstances, and underlying macroeconomic factors. Advertisers in the CIS region should continue to leverage these trends and tailor their campaigns to effectively engage the local audience.
Data coverage:
The data encompasses B2B enterprises. Figures are based on Direct Messaging Advertising spending and exclude agency commissions, rebates, production costs, and taxes. The market covers advertising by businesses via e-mail, SMS, direct mail, messengers, web push, telemarketing, and instant messaging.Modeling approach:
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, number of smartphone users, internet coverage, and number of urban households. This data helps us estimate the market size for each country individually.Forecasts:
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 4G coverage.Additional notes:
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.
Mon - Fri, 9am - 6pm (EST)
Mon - Fri, 9am - 5pm (SGT)
Mon - Fri, 10:00am - 6:00pm (JST)
Mon - Fri, 9:30am - 5pm (GMT)
Mon - Fri, 9am - 6pm (EST)
