EXPERIENCE IN STATISTICAL LEARNING SOLUTIONS
The following is a sample of what we have done before
BRAND ANALYTICS
Diagnose the various aspects of your brand
CASE
A client in the financial industry wanted to understand what was making customers switch to different brands, yet it was doing everything the other brands were doing. We explored the impact of variables such as perceived service/product quality, brand association, and advertisement on brand loyalty. Using confirmatory factor analysis and path analysis, with factors such as advertising appeal as independent variables, while perceived service/ product quality and brand association were used as mediating variables and brand loyalty is the dependent variable. We found out advertisement would only have a positive on brand loyalty when customers are satisfied with the product and have strong brand association. This was a great managerial learning on the strategic decisions on attracting and retaining customers.
SWITCHABLE CONSUMER ANALYSIS
Targeting the mass market may not be highly effective for many brands, identify customers at risk of switching
CASE
Our client was operating in an industry where products are less differentiated and barriers to switching are low. They wanted to understand possible business growth channels; where? How? by how much? and at what cost. We started by computing customer drivers, which we combined with switchable consumer analysis. The insight was an understanding of the cost of acquiring the new customers, which aided in a strategic decision on customer acquisition drive and on which products.
BRAND EQUITY STUDIES
Customer-based brand equity; measuring the brand equity at individual level
CASE
Our client wanted to understand the current equity in the market and how they can grow it, where and by what means, in addition to studying the current brand position versus the competition, we also computed brand health metrics at the individual customer level. The outcome was insight on improving certain aspects which would result in “Relationship building”.
UNSTRUCTURED DATA ANALYSIS (TEXT, PICTURES, SOCIAL MEDIA ETC)
Knowledge is not always presented in a linear form
CASE
A client in the financial inclusion space wanted to assess market conditions, both on-demand, and supply of financial products to identify gaps and opportunities in the low-income financial services market. This included analysis of institutions, the market, and customers. The study involved a large document review and a large scope qualitative. Text analysis was applied using inductive theme analysis, and by integrating similar information from different sources.