Abstract:
My research delves into the dynamic realm of consumer preferences in cosmetics,
employing a data-driven approach to unravel patterns and insights in this multifaceted
industry in Bangladesh. The study centers on the comprehensive analysis of user responses,
gathered through a meticulously designed survey instrument, to discern prevailing trends
and preferences in moisturizers, serums, and oils. The dataset, comprising responses from
511 participants, provides a rich source of information on brand perceptions, country-oforigin preferences, and consumer ratings. By employing Python programming and data
visualization libraries, I conducted an in-depth exploration of consumer habits, shedding
light on the popularity of specific brands and the countries associated with favored
cosmetic products. The analysis revealed Cerave as a dominant player in the moisturizer
segment, with a significant preference for products originating from Korea. Furthermore,
the study examined consumer choices in serums, uncovering a prevalence of positive
ratings, particularly in the "Good" category. The diversity in brand usage showcased a wide
array of choices, with Cerave, The Ordinary, and Set Wet emerging as popular selections.
The country-of-origin analysis demonstrated a pronounced affinity for Korean serums,
accounting for a substantial share of the market. Shifting focus to oils, the research
highlighted a predilection for organic oil, with Parachute and Bajaj n Drops standing out
as preferred brands. Bangladesh emerged as a dominant source country for cosmetic oils,
capturing over half of the market share. This research contributes to the understanding of
consumer behavior in the cosmetics industry, offering valuable insights for both industry
practitioners and researchers. The data-driven approach employed in this study serves as a
robust methodology for comprehensively exploring and interpreting consumer preferences
in diverse product categories.
