Deep research
Intellectual marketing for business in the age of AI
In the context of Russian-speaking expatriates running businesses across the Euro-migration space, deep researching becomes especially crucial. It enables precise identification of the target audience’s specific needs and values, while adapting to the cultural and socio-economic nuances of the new environment.
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What is deep researching?
Deep researching is a digital marketing approach grounded in in-depth sociological and economic analysis of audience behaviour, powered by modern artificial intelligence (AI) technologies. It goes far beyond collecting standard metrics and analytical data — it is an interpretive analysis of motives, social factors and economic trends that shape consumer decisions. Deep researching merges the methods of economic sociology with the capabilities of AI to uncover non-obvious interrelations that lie beyond the scope of conventional marketing tools
For Russian-speaking expatriates building businesses within European contexts, deep researching is particularly important, as it helps identify audience needs and values with precision, while adjusting to the social, economic and cultural specificities of the host country.
Evolution of the phenomenon
Marketing research originally relied on simple surveys, focus groups, and basic behavioural analytics. As technologies advanced and the volume of available data (big data) increased, research methodologies became more complex, incorporating neural networks and machine learning.
In the past decade, a qualitative transformation has occurred: marketing has integrated tools from economic sociology and social analysis, evolving into a deep, intellectual process. Today, AI not only collects and classifies data but interprets it, offering precise behavioural predictions and uncovering hidden, sometimes unexpected, behavioural patterns.
Successful examples
Spotify: actively applies deep researching to personalise user experience by combining sociocultural data with deep learning algorithms. The result is a refined understanding of preferences and exceptionally high user engagement.
Airbnb: through in-depth behavioural analysis and economic sociology research, the platform has refined its marketing messages and product offerings for specific expatriate segments, significantly improving booking conversion rates.
Zara: employs deep research analytics and AI to swiftly adapt collections to local consumer preferences, reducing the time from trend analysis to store shelves to just a few weeks.
Why Vasilii Bernshtein?
With deep expertise in economic sociology, supported by a PhD, and years of teaching and research at Russian and international universities, as well as hands-on entrepreneurial experience in Spain, I am able to apply deep researching effectively.
My proficiency is reinforced by practical experience integrating AI-driven solutions into real-world marketing for European businesses founded by Russian-speaking expatriates. This allows me not only to interpret data, but to translate it into concrete strategies that yield measurable results.
SKILLS, KNOWLEDGE, AND PRACTICE
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