How to win back fast-food customers after years of rising prices
With rising prices over the past few years, how can fast-food restaurants regain customers in a price-sensitive market?
At SKIM, we enhance your market insight with advanced modeling techniques such as driver analysis, segmentation and decision journey mapping. These methods provide a comprehensive view of customer behavior, allowing you to tailor strategies to specific market segments and optimize customer experiences. By leveraging our expertise and proprietary design algorithms, we deliver more accurate and actionable insights, helping you make informed decisions that drive growth and improve customer satisfaction.
Types of Advanced analytics techniques
Segmentation
Unlock new opportunities by identifying actionable customer segments and targeting them with tailored strategies that resonate with them specifically
Key Driver Analysis
Enhance satisfaction, loyalty and brand value by identifying and acting upon the less-conscious drivers of behavior that are not always easily revealed
Decision journey mapping
Enhance customer experience and drive growth by visualizing, optimizing, and deeply understanding every touchpoint in the customer or patient journey
SKIM’s combines methods when needed
In addition to segmentation, driver analysis, and decision journey mapping, SKIM leverages advanced analytics techniques such as data fusion, predictive modeling, and enhanced qualitative research. Our approach to qualitative research goes beyond traditional methods by incorporating AI-driven text analysis and sentiment mining, allowing us to extract deeper insights from consumer narratives.
Data fusion enables us to integrate diverse data sources for a more holistic view, while predictive modeling helps anticipate future trends. These advanced techniques provide a rich, multi-dimensional understanding of consumer behavior, empowering you to make strategic, data-driven decisions with confidence.
