Modeling the Impact of Customer Experience
As small data become big data and as simple data get more complex, insights that can be gleaned from traditional analysis becomes inadequate to solve complex marketing problems.
This is where Leger Analytics comes in.
Leger Analytics specializes in delivering actionable results to clients through market modelling and sophisticated statistical analysis. We use complex analysis to simplify the data. We model the market so it can answer your marketing questions.
Our objective is to answer your marketing questions by simplifying complex data. We do this by separating what you need to know from what is just interesting to know, and by separating the signal from the noise.
We use complex mathematics ranging from Bayesian statistics to machine learning to solve your marketing problems. Yet our goal is to simplify and clarify what needs to be done. For us mathematics is just a tool and not an end.
And we do it collaboratively with you. We work in conjunction with you to understand the problem, define and solve it using the best tools available. We use traditional tools such as cluster analysis, discrete choice, logistic regression, factor analysis, discriminant analysis, maxdiff, multiple regression, path analysis and SEM. We also use relatively newer techniques such as random forest and Bayesian multivariate analysis.
The areas to which we apply our expertise include Machine learning techniques and Statistical learning methods which we then apply to different subject areas such as:
- Market segmentation
- Market mix modelling
- Sales forecasting
- Trade-off analysis
- Dynamic brand mapping
- Customer journey mapping
- Finding levers of customer satisfaction and loyalty
But our focus is never on techniques. We use traditional tools when appropriate and create newer models when necessary.
Leger Analytics is led by Dr. Chuck Chakrapani.