Case study
Store Segmentation Print E-mail
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Our client is one of the largest retailers in China. The Meritus team helped them arrive at decision rules in selecting properties, and also helped the client finalize merchandise based on the store profile. This lead to optimization of inventory carried by various stores, which in turn, maximized revenue per store.

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Empowering sales channels to drive revenue Print E-mail
Image A large Insurance Company wanted to empower its agents to ensure that their productivity grew manifold. We helped our client segment the agents, and offer differentiated offers and training for each segment. This exercise boosted the morale of the agents and led to more proactive marketing efforts from individual contributors.
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Leveraging Externalities Print E-mail
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A large foods major wanted to allocate marketing budgets across markets based on various external drivers. Our Market Mix Model was able to identify the key external driver and also help marketer leverage the external factor.

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Demand Forecasting Print E-mail
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To assess investment requirements for the country in consideration, our clients wanted to forecast demand expected over the next 10 years. We built an Econometric model using the Usage and Attitude (U&A) study conducted by the clients. Along with macro economic variables like GDP and demographic shifts, we were able to forecast Penetration and hence, Demand.

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Promotion Management Print E-mail
ImageA large CPG major wanted to improve the effectiveness of promotional offers across their portfolio of brands. Our analysis enabled clients to understand, factors that determined success of the promotions. This understanding helped client design better promotions
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Response Maximization Print E-mail

Image A global IT major wanted to understand the impact of various marketing initiatives on the responses obtained at the website and at the call center. Our model helped in understanding the drivers and better allocation of marketing budgets

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Portfolio Allocation Print E-mail
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A large fuel retailer wanted to allocate budgets across various markets based on the responsiveness to earlier marketing investments. At the end of the exercise, the client was able to quantify a 15% lift in the ROI of marketing investments.

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