https://vtmade.netlify.app/tags/consumer-behaviour/Recent content in Consumer Behaviour on vinay thakurHugoenvpst18@gmail.com (Vinay Thakur)vpst18@gmail.com (Vinay Thakur)Wed, 01 Oct 2025 00:00:00 +0000https://vtmade.netlify.app/writing/coffee-searches-3am-questions/Wed, 01 Oct 2025 00:00:00 +0000vpst18@gmail.com (Vinay Thakur)https://vtmade.netlify.app/writing/coffee-searches-3am-questions/<p><img src="https://vtmade.netlify.app/articles/coffee-searches-3am-questions/img-01.png" alt=""></p> <h3 id="the-data">The Data:</h3> <p>How I read the data without letting one country shout over everyone else</p> <p>I blended two sources for six markets (USA, India, UAE, Norway, Sweden, Colombia). Data retrieved using pytrends python library:</p> <ul> <li>Search suggestion lists for the long tail and phrasing nuance.</li> <li>Monthly search volume tables for scale.</li> </ul> <p>Every record carries a modifier (“how,” “can,” “what,” etc.), the raw query, the market, and the associated cost-per-click. I cleaned the text, normalized volumes within each market, and tagged psychological intent buckets (curiosity, practical help, health anxiety, safety, social). That setup let the USA’s 1.3 million-question mammoth share a stage with Norway’s 1,760 questions, and it exposed both the macro rhythms and the local stories.</p>