C5i Case Studies Large PC vendor optimized marketing mix to maximize ROI from marketing channels using insights gained from digital analytics
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Large PC vendor optimized marketing mix to maximize ROI from marketing channels using insights gained from digital analytics

C5i
Analytics & Modeling - Big Data Analytics
Sales & Marketing
Predictive Replenishment
Data Science Services
The client, a leading US PC manufacturer, was struggling to understand the ROI generated from their digital marketing efforts and assign the right dollar value to each channel. They were finding it difficult to implement a data-driven marketing optimization strategy. There was no standard process in place which could distinguish different customer segments based on variation of traits and characteristics. The client wanted to implement robust, data-driven marketing and sales workflows to enable better ROI with maximized sales revenue.
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The customer in this case study is a leading US PC manufacturer. They are a large company in the Information Technology industry. The company was facing challenges in understanding the return on investment (ROI) generated from their digital marketing efforts. They were struggling to assign the right dollar value to each marketing channel and implement a data-driven marketing optimization strategy. The company lacked a standard process to distinguish different customer segments based on variation of traits and characteristics. They wanted to implement robust, data-driven marketing and sales workflows to enable better ROI with maximized sales revenue.
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Blueocean Market Intelligence, a global analytics and insights provider, was brought in to help the client. They conducted a series of workshops to understand the business drivers, activities and also define the actual list of hypotheses that needed to be solved. They prepared and integrated several data sources such as client CRM, web metrics, promotion and product data and publicly available demographic data. Blueocean Market Intelligence built a multi-regression based attribution model to determine allocation for different channels to maximize the ROI.
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Integrated data from 35+ sources and scaled up unified marketing database
A 70% accurate attribution model improved the decision making process from a previous model at 15%
Effective online strategies resulting in the improvement of brand advocacy
70% accuracy in attribution model
15% improvement in brand advocacy
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