Data Science

Media Mix Modeling

Data scientist looking at visualizations

By applying advanced statistical techniques to your marketing and sales data, we help you understand the effectiveness of different marketing channels and campaigns. Our innovative methods provide critical insights into the ROI of your marketing efforts, enabling you to fine-tune your marketing strategy, allocate budgets more effectively, and achieve superior results in customer acquisition and retention.

Data collection process

Data Collection and Quality Assurance

By focusing on actual rather than planned data, we gain deep insights into the effectiveness of your advertising budget. We thoroughly analyze time-series data on sales and media activities, ensuring our models are grounded in reality and reflect the nuanced interplay between different media types, leading to data-driven decisions that enhance marketing performance.

Advanced Techniques

Our approach goes beyond standard practices, blending deep analytical insights with a thorough understanding of marketing channels. We don’t merely feed data into a model; we start with a foundation of correlation and regression analysis to understand the impact of each marketing channel. This initial step helps us identify the magnitude effect of each marketing activity on sales or leads, setting the stage for more complex modeling.

We also examine channel similarities to ensure our models account for the nuanced ways in which different channels interact and influence each other. Our methodology is not about letting the model blindly dictate strategy; it’s about using the model as a tool in a broader analytical framework.

Scatter plots advanced techniques
Adstock analysis line chart

Adstock Analysis

We go beyond traditional carryover effect measurements, which serve as a critical tool in both insight generation and model validation. We examine how media investments impact future time periods, providing a layered understanding of their lasting influence. This analysis isn’t just about quantifying effects but is an integral part of our model selection process.

When evaluating models, we do not rely solely on how well the model fits actual and predicted outcomes. Instead, we consider the overall picture, including adstock effects, and performance metrics, to ensure the model’s validity. This check helps us confirm that the model accurately captures the prolonged impact of marketing activities, not just immediate outcomes. Our goal is always to ensure that our modeling choices are not just statistically sound but also practically relevant.

Channel Constraint Analysis

Going beyond arbitrary channel spend constraints, our team analyzes consumer behavior such as seasonal variations, integrating business context and consumer behavior.  For example, businesses characterized by heightened consumer demand during certain months present unique channel supply and demand dynamics.

This underscores the critical role of channel constraints in media spend optimization. For instance, while there might be a tendency to increase spending in high-demand periods, the availability or supply of advertising space in certain channels could limit the feasibility of such an approach. Understanding supply-side limitations of media channels, we ensure that our optimization recommendations are theoretically and practically applicable.

We tailor our recommendations to reflect the client’s real-world operational context. This approach ensures that the optimization of media spend is not only aligned with consumer demand patterns but also adaptable to the supply dynamics of each channel.

Channel constraint graphic
Saturation Curve chart

Saturation Curve Modeling

Our team analyzes how incremental advertising exposure affects customer response, pinpointing the critical points of diminishing returns. This analytical effort is not just a theoretical exercise; it’s about making your advertising dollars as efficient and impactful as possible. By identifying where each media channel falls on the saturation curve, we can discern the point at which additional spending yields diminishing returns, optimizing channel performance.

We contextualize these curves within the broader business landscape, ensuring that the insights we derive are not only data-driven but also strategically sound. This method allows us to guide our clients towards optimizing their marketing budget, focusing on channels and tactics that promise the highest returns.

ROI and Budget Optimization

Through meticulous analysis and leveraging every facet of our modeling process, we not only enable data-driven decision making but also provide a strategic path forward. Our comprehensive evaluation encompasses every aspect of a marketing budget, culminating in optimized budget allocations. This involves more than just adjusting numbers; it entails strategically reallocating resources to capitalize on the most effective channels. By transitioning from a state of uncertainty to one of informed decision-making, we recalibrate marketing efforts more efficiently.

ROI optimization chart
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