Category :
Data Governance
Sustainability
Optimization

Consumer Response Prediction

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Written by
Head of Econometrics
Strategic Business Analyst
AI & Machine Learning Lead
Published on
August 9, 2025
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The Challenge

A business operated in a highly competitive market where frequent and aggressive marketing campaigns from key rivals were common. Their strategy was reactive, leading to lost market share and inefficient counter-campaigns. This lack of foresight highlighted the critical need for a predictive competitive intelligence system.

Our Approach

We built a sophisticated analytical framework using Vector Autoregressive (VAR) models. This methodology allowed us to model the complex interdependencies between our own sales/marketing efforts and those of our competitor, capturing temporal causality and dynamic market reactions.

The Solution

We delivered a predictive platform with a forecasting dashboard. The tool provided the client's team with clear projections of how their sales and market position would be affected by future competitor actions. It transformed their approach from reactive to proactive, providing a significant competitive advantage.

The Impact

Our solution empowered the client to make informed, proactive decisions, minimizing losses and protecting market share. We provided them with a predictive window of over 4 weeks and mitigated over 30% of potential sales loss.

Technologies Used

Vector Autoregressive (VAR) Modeling, Time-Series Analysis, Competitive Intelligence.

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