Digital advertising today is one of the most powerful tools for business growth—it enables companies to reach customers worldwide and opens doors to export opportunities that, not long ago, were accessible only to major players. Every day, brands and marketing agencies make hundreds, even thousands, of decisions about where, how, and how much to invest in advertising on platforms such as Facebook, Instagram, and Google. However, these decisions are often based on past experience or intuition rather than data. This is precisely the gap between available data and data-driven decision-making in advertising that the Latvian start-up “Adsmom” has set out to bridge.
The solution developed by “Adsmom” is a data and artificial intelligence platform for digital advertising market analysis. It helps businesses and agencies make well-founded, data-driven decisions regarding the allocation of advertising budgets, campaign strategy, and also enables them to monitor competitors’ activity across global advertising platforms.
The creators of the innovative platform are the company’s three co-founders—Kristiāns Lancmanis, Matīss Andersons, and Raimonds Vizulis. Kristiāns is the CEO and is responsible for business development and strategy, while Matīss and Raimonds focus on technical development. In total, the team consists of five people, and the company is based at “Riga Startup House.” “Adsmom” was founded in March 2025 and, at the end of last year, also received business incubation support from the Investment and Development Agency of Latvia (LIAA) through its Madona representation.
The company notes that it plans to make maximum use of the state support instruments available through the incubation programme—at a time when most investments are directed toward product development and specialist salaries, public support helps free up resources for the company’s further growth.
The roots of the “Adsmom” idea lie in Kristiāns’ personal experience. He founded his first e-commerce business at the age of 16. At the time, just like many young entrepreneurs, he did not have the funds to hire a marketing agency, so he had to learn digital advertising on Facebook, Instagram, and Google on his own. The beginning was modest—experiments with a budget of €5–10. Over time, however, Kristiāns understood how advertising works and how directly it is linked to business growth. Within a few years, the advertising budgets he managed grew to several hundred thousand euros.
Later, working in an international scale-up environment, Kristiāns saw that companies spend even several million euros on digital advertising. The key insight from that period was clear—data is what enables advertising budgets to be used far more efficiently. At the same time, the market lacked tools that could provide structured, comparable, and easy-to-interpret insights into competitors’ activity and overall market trends.
“A lot in advertising is evidence-based. For example, why in a particular niche an ad with discount text and a woman’s face in the background works better—this can be seen in the data rather than guessed. Or, if a competitor launches 300 new campaigns in a single day, maybe that’s not the best day to do the same,” Kristiāns explains.
The idea for such a platform emerged at the end of 2024. The company was founded in March 2025, and active market operations began in the autumn. The platform’s potential and viability are also demonstrated by the fact that “Adsmom” attracted its first paying customers immediately after development and the start of operations.
The “Adsmom” platform aggregates and analyses competitors’ ads, campaign frequency, intensity, visual materials, as well as trends across different markets and niches. This data helps plan advertising strategy, avoid inefficient actions, and make informed decisions rather than blindly copying competitors’ moves. The platform also serves as a daily working tool for marketing professionals—both for competitor monitoring and, for example, for justifying increases in advertising budgets to company management.
Special attention has been paid to user experience. In one place, users can view competitors’ advertising materials and key data, apply filters by markets, niches, or time periods. In addition, an AI assistant is integrated, allowing users to ask questions in free form—for example, what a competitor has done over the past seven days or which campaign approaches might be suitable for a specific goal.
“Adsmom’s” main clients are marketing agencies, which currently make up the largest share of its customer base, as well as medium-sized and large brands with in-house marketing teams and substantial advertising budgets. Among its clients are already major retail chains, agencies, and companies in various European countries.
The platform is offered on a subscription basis with a monthly fee, while larger clients also have access to individually tailored solutions. In the future, “Adsmom” is also considering a pay-as-you-go model, where pricing would depend on the extent of AI usage, the number of competitors analysed, or the complexity of reports.
Kristiāns acknowledges that the market is highly competitive and rapidly changing—artificial intelligence makes it possible to develop similar tools very quickly. Nevertheless, there are few direct competitors with a comparable depth of data and approach. Many tools focus only on saving ads for inspiration but do not provide a sufficient foundation for strategic, data-driven decision-making.
At the moment, “Adsmom” is also actively experimenting with its business development—from cold calls and email campaigns to LinkedIn communication, direct sales, and partnerships with agencies. The company’s future is almost entirely linked to export. In the next stages of development, “Adsmom” aims to reach one million euros in annual turnover, complete the next investment rounds, and grow its team. 99% of its focus is on foreign markets—primarily the European Union and the United Kingdom.
The preparation of this article was financed by the European Regional Development Fund under the Incubator Subproject of the Small and Medium-sized Enterprise Programme.
