Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM36301
Volume:
8 |
7 |
Jul 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Companies today are switching towards data-driven product strategies to keep pace with the rapidly evolving marketplace, where consumer demands and ever-changing business objectives need to be met. The formulation of these strategies is incomplete without a market, which serves as the backbone and provides information regarding consumer preferences, trends within the market, competition details, and a complete breakdown of product attributes. The pace of technological advancement has enabled businesses to discover an enormous pool of data that can be analyzed for strategic decision-making. The following paper outlines these fundamental principles and practices in market research for building data-driven product strategies, discussing how insights gleaned from market research inform product development, identify new opportunities, refine pricing strategy, and improve customer satisfaction. This paper goes on to discuss different methods of research, such as surveys, focus groups, customer interviews, and secondary research, that make data work in improving product positioning while focusing on the needs of the audience. It also discusses the impact of emerging tech, like big data analytics and AI-driven insights, over the market research practice. Last but not least, this paper provides recommendations for how businesses can incorporate market research into each step of developing a product strategy so as to sustain in the complex and competitive environment of modern product management. They also note that the increasing role of real-time data and customer feedback in perfecting product strategies underlines a long-term competitive edge, with market trends being continuously monitored by companies who live on their ability to act fast. Predictive analytics will allow for even better prediction of customer needs, giving businesses a much more proactive approach to product development. This is essential for success in the long run. Within the modern data-driven business ecosystem, as companies unlock this capability through these advanced tools, the part played by market research in innovation and product lifecycle optimization will only be amplified.
KEYWORDS
Publication Date
5/31/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
2
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...