Mayur Bhatt

Brand Experience, Customer Experience, User Experience – These are all parts of the experiences that people have when they interact with a product, a service, or a brand. This field of experiences is very large and covers many different areas. Experience Research tries to shine a light on this complex field. It helps us understand these experiences better. The main tools used in experience research are market research and UX (user experience) research . New approaches in UX research - How AI Will Break Traditional Barriers in the Future? But even today, there are still many challenges and problems that block us from fully understanding our target groups. We still do not always see clearly what people want, need, or feel. How will artificial intelligence (AI) help remove these problems in the future? How will it help us understand people better? How do Market Research and UX Research differ from each other? Market research tries to find out if a product, idea, or service can be suc...

We've been using ChatGPT for a while now. We use it to help with desk research. It helps us find sources and existing studies on topics that matter to us. We also use it to shape our study designs and build the structure for our questionnaires. ChatGPT helps us write and fix syntax commands too. We use these commands for descriptive data analysis. But we don’t only rely on ChatGPT. Alongside it, we also use Copilot and Claude from Anthropic. Each tool supports different parts of our work. We wanted to find out if generative AI tools could also help us create and test advertising materials. Our main goal was to make advertising that fits specific target groups. We also wanted to spot chances for improvement early in the process. This would allow us to discuss these improvements with the agency and the campaign management team before the ads go live. That is why, over the past few months, we have been testing how useful large language models can be in advertising effectiveness. We tr...

Artificial Intelligence is transforming how entire industries work. Market researchers now face big changes. They must act with courage. They need to test new ideas and tools. This is the time to explore AI without fear. Only by trying new things can they stay useful and ahead in their field. AI is no longer just a future topic – it is already changing market and media research. AI can analyze data faster, in more detail, and at a much larger scale. This challenges traditional research methods and creates big new opportunities. Analysis says: Anyone who doesn’t act now risks falling behind. Artificial Intelligence (AI) is changing market and media research in a big way. It affects how we work, how fast we work, how much we can do, and how deep we can go with analysis. I didn’t write that sentence. No colleague or expert I know wrote it either. ChatGPT wrote it. The AI gave me that clear and sharp answer in less than five seconds. It explained the key points directly. It showed why mark...

A new study shows that many people now use Artificial Intelligence instead of search engines when they shop. More users ask AI tools for help when they want to find or compare products. People trust AI to give faster, simpler, and more helpful answers than normal search results. This change is growing quickly. AI tools are being used more and more in online shopping. People usually use search engines to find suitable products, compare prices, and read reviews online. But things are changing now. A recent study shows that many people are starting to use AI tools instead. More than half of AI users in Many countries now ask ChatGPT or similar tools for shopping advice. They don’t always turn to search engines first. This information comes from a study by the market research company Norstat. They did this research for the Norwegian investment firm Verdane. The study also shows that 3% of the people are strong fans of Artificial Intelligence. They always use AI tools instead of search engi...

Many people do not fully understand how powerful AI is becoming. They think AI can only do small tasks. But AI can already solve hard problems, create new ideas, and improve our daily work. It can write, talk, see, and even learn by itself. This is just the beginning. Most of us still believe AI is far from real change. But AI is already changing many industries. It helps doctors find diseases early. It helps farmers grow better crops. It supports teachers and students. AI makes businesses faster and smarter. It can also help fight climate change and protect nature. Some people fear AI will take over jobs. That fear is not wrong. But we must also see the good side. AI can remove boring work. It can give people more time to think and be creative. We should learn how to use AI to help us, not to replace us. AI is growing very fast. We must stay curious. We must test, learn, and grow with it. If we ignore AI, we fall behind. If we explore it, we move ahead. The future will be shaped by th...

Artificial intelligence is seen as a key technology for the future. But it can only reach its full potential if the data is correct. Clean and structured data is becoming more important. Before using AI tools effectively, companies must practice data excellence in their daily work. This is the foundation for successful AI use. Almost nothing drives today’s business world like artificial intelligence. Companies around the globe apply AI to improve their business models and streamline processes. Banks and insurance firms use AI algorithms to assess risk and detect fraud. E-commerce leaders such as Amazon and Zalando create highly personalized shopping experiences with AI. They also use AI to forecast demand and optimize logistics. Even though AI seems magical, we must remember how it works. AI gives results based on probability and complex statistics. To get useful results, it needs one main thing: a lot of good, clean, and useful data. That’s why data excellence is now very important fo...

In today’s data-driven advertising world, traditional analysis methods often fail. AI helps overcome these limits. It can quickly process complex data streams and provide real-time market analysis. This leads to big changes in the ad industry. It starts with combining all data and goes all the way to analyzing visual content.  Artificial intelligence and marketing merge more and more To develop precise marketing strategies, teams must process vast amounts of user clicks, impressions, and sales data. Manual measurement methods cannot keep up. Teams face long delays and high costs when they analyze that data by hand. These delays hurt timely decision-making. Advertisers face constant pressure to track market trends in real time. They need fast feedback on campaign performance. With real-time data, they can shift budgets to channels that deliver the best results. This agile approach keeps them ahead of competitors. AI systems can automate data cleaning, sorting, and analysis in second...