Mayur Bhatt

The Conjoint method tries to find out which features of a product are most important when people decide to buy it. In this method, researchers show participants different versions of a product. Each version has different features. The participants then have to choose between them. This helps researchers understand which features truly matter to buyers. The method places participants in a real decision-making situation. It does not ask them general questions. Instead, it gives them options, just like in real shopping situations. This makes the results more realistic and useful. It helps companies see what customers value most when they choose one product over another. Some expets conducted study to test something new. They used the Conjoint method, but changed the design of the survey. Usually, surveys use a plain table format. In this study, they compared that old format with a new one. The new format looked like a modern online shop. This new shop-like design helped people feel like t...

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...