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case in point blueoceanmi.com | 1 Title: Idenfy the right mix of various markeng vehicles and channels to maximize the return on sales Industry: Technology Country: US Challenge The client - Worlds leading computer Technology Company faced the following challenge With the shrinking market for desktop and laptops they were looking for innovave markeng soluons to sustain sales and deal with tablet cannibalizaon Idenfy the right mix of various markeng mix vehicles and channels to maximize the impact of sales on markeng Approach Create a market mix model for three different regions - USA, UK and China adopng a top down approach using weekly level sales and markeng data. The model will determine each percentage contribuon of each markeng acvity on sales and calculate the return on investment Perform variable selecon, transformaon and capture seasonality to tackle bias if any, that may be present due different reasons and include the interacon between different media vehicles to understand each other’s effect Once the model was build several scenarios were simulated to compute the best opmal markeng mix

Identify the channels to maximize the return on sales | Blueocean MI

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case in point

blueoceanmi.com | 1

Title: Identify the right mix of various marketing vehicles and channels to maximize the return on salesIndustry: TechnologyCountry: US

ChallengeThe client - Worlds leading computer Technology Company faced the following challenge

• With the shrinking market for desktop and laptops they were looking for innovative marketing solutions to sustain sales and deal with tablet cannibalization

• Identify the right mix of various marketing mix vehicles and channels to maximize the impact of sales on marketing

Approach• Create a market mix model for three different regions - USA, UK and China adopting a top down approach using

weekly level sales and marketing data. The model will determine each percentage contribution of each marketing activity on sales and calculate the return on investment

• Perform variable selection, transformation and capture seasonality to tackle bias if any, that may be present due different reasons and include the interaction between different media vehicles to understand each other’s effect

• Once the model was build several scenarios were simulated to compute the best optimal marketing mix

Output

Result• Short term (14 week) ROI contributes to 99% of the long term ROI.• Short Term and long term periods on an average contributes 77.60% and 22.40% towards revenues• Magazine as a vehicle by itself is not a significant driver of sales but I conjunction (interaction) with other print

vehicles becomes significant

Contribution of each marketing vehicle to sales Predicted versus actual value

Optimizer to determine the best output

blueoceanmi.com | 2

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