Also, helped managers and leadership team analyze these surveys independently to expedite strategic decision making. Recommendations about macro space allocation, adjacencies for departments and shopping preferences for both products and retailer helped increase the overall sales by 17%.The Mu Sigma team was able to create a tool to analyze customer surveys and provide recommendations for the management team on an ongoing basis to support effective decision making: The Outcome: An analytical tool and framework for more effective decision making Each score was then mapped with customer demographics and a perceptual map was constructed to understand consumer preferences and behavior.This process highlighted the most significant attributes. Against each customer segment, scores were calculated using data mining techniques such as Simple Indexing and Cohen’s techniques.Different dimensions affecting consumer behavior were identified and care was taken to measure variables without any bias.Mu Sigma analyzed customer behavior across various survey results: The Approach: Deciphering consumer preferences and behaviors Business decisions were made in ignorance of customer’s brand affinity, preferences/ likings, etc. However, they lacked a structured framework to analyze it. The client had plethora of information available in the form of surveys filled by customers. The Challenge: Inability to make sense of disparate data and insights It was initially added to our database on. The latest version of Sigma client is 5.6.0, released on. It was checked for updates 31 times by the users of our client application UpdateStar during the last month. The company’s products are distributed across 200 countries. Sigma client is a Shareware software in the category Miscellaneous developed by Sigma - Advenced Management System. It has 20+ brands that generate retail sales of more than $1 billion individually. The client approached Mu Sigma to analyze the survey results and suggest solutions that could work towards enhancing customer experience w.r.t each customer segment. Multiple surveys were conducted to gauge customers’ preferences. Marketing and branding team of a leading CPG organization wanted to study consumer behavior and preferences to enhance their customers’ shopping experience. Summary: Enhancing the customer experience This lead to overall improvement in customer experience, resulting in a 17% increase in overall sales through significant growth across all major product categories. The Impact We Made: Insights from the behavioral tracking and measurement tool led to multiple recommendations around store remodeling, space allocations, adjacencies of departments, and shopping preferences. This was done by analyzing survey data across various customer segments. What We Did: A behavioral tracking and measurement tool was created to understand and measure customer behavior/preferences for effective decision making.
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