Objective:
The goal was to comprehensively study the sweet baked goods category, including cookies and butter biscuits, and analyze trends impacting butter cookies. This involved investigating hypotheses, uncovering drivers, and identifying barriers to their market growth.
Challenge:
The team faced a significant challenge due to headwinds in the baked cookies category. Their objective was to substantiate core hypotheses and validate consumer needs by gathering evidence from the digital landscape. This entailed mining data from social platforms to gain insights into consumer discussions and identify any existing gaps in the market. By leveraging digital evidence, the team aimed to make data-driven decisions that could address these challenges and drive innovation in the baked cookies segment.
Solution:
Leveraging Ai Palette’s robust trend platform, the team embarked on a data-driven analysis by examining an extensive dataset comprising millions of data points within the Indian market. Their approach extended beyond mere data aggregation, as they also meticulously mapped this information to consumer perceptions. This comprehensive process allowed the team to validate their hypotheses effectively and substantiate them with concrete, data-backed evidence.
By employing this systematic methodology, the team gained a profound understanding of consumer sentiments and market dynamics in India. Through the insights derived from this data, they were not only able to confirm the validity of their hypotheses but also present compelling proof to support their findings. This data-driven approach empowered the team to make informed decisions, steering them toward strategies and innovations that aligned closely with the prevailing trends and consumer perceptions in the dynamic Indian market landscape.
Outcome:
The rigorous validation of hypotheses in this study provided the team with a newfound clarity. Armed with data-backed insights, they were well-equipped to recommend the most suitable ingredient solutions for their baked goods customer. This evidence-based approach ensured that their recommendations were not only well-informed but also aligned precisely with the evolving market trends and consumer preferences, ultimately enhancing their customer’s product offerings.
