Plytrix Solutions

Media Mix Modeling (MMM)

Media Mix

Modeling (MMM)

Media mix modeling is a powerful statistical analysis that can be used to extract key information from your data, including the performance of each channel for marketing and its effectiveness in reaching customers. Through analyzing historical data, media mix modeling helps you to make key decisions for your business by understanding how different media investments, such as TV, digital ads, and social media, contribute to sales and brand performance. What makes media mix modeling so effective is that it accounts for external factors like seasonality and market trends, thus providing a holistic view of the marketing impact. We leverage this approach to empower our clients with actionable insights that enhance marketing strategy and performance across channels.

Why Media Mix Modeling

Have you been struggling with privacy issues regarding statistical analyses of your data? What about analyses not being robust enough to give you real-time insights that you need to drive business decisions? If that is the case, then media mix modeling is the approach for you. The privacy-conscious, and highly resilient statistical approach quantifies the incremental impact of marketing and non-marketing activities on sales and ROI.

Streamline data processing and eliminate guesstimates

Insights

Media mix modeling is an econometric model that dissects how marketing budgets should be distributed across channels, products, and regions to forecast the effects of future campaigns. The mixed media modeling approach ensures the accuracy of data insights, allowing you to get a truer picture of your return on ad spend, free from platform biases.

What a Marketing Mix Modeling solution includes

ROAS

Marketing mix modeling helps you to understand the direct effects of your marketing efforts on sales. Through our marketing mix modeling & optimization, we help you analyze market conditions and consumer behavior impact on marketing effectiveness, providing insights for strategy adjustments in real-time.

Cost

Our marketing mix modeling solution leverages Robyn, a cutting-edge framework developed by Meta, to provide a comprehensive suite of analytics deliverables. From budget optimization and customized marketing media mix modelling to advertising effectiveness analysis, we equip you with the insights to allocate your marketing spend more efficiently. Gain an unparalleled understanding of your advertising's carry-over, saturation effects, and the optimal timing for engagement, ensuring every dollar contributes to your bottom line.

How marketing mix modeling can transform your understanding of budget allocation and ROI

Reduction

We use historical data to refine marketing investment recommendations across channels for maximum ROI and to predict optimal budget distribution. The fast marketing mix modeling acts as a budget optimizer tool to empowers you to make strategic financial decisions for your marketing and advertising spend. By visualizing the performance of each channel, we can identify using the digital media mix modeling where the high-impact areas are at and reallocate resources effectively. This proactive marketing mixed modeling approach not only enhances profitability but also aligns your marketing strategies with overall business goals.

Deliverables That Drive Results

Our Media Mix Modeling solution leverages Robyn, a cutting-edge framework developed by Meta, to provide a comprehensive suite of analytics deliverables. From budget optimization and custom MMM modeling to advertising effectiveness analysis, we equip you with the insights to allocate your marketing spend more efficiently. Gain unparalleled understanding of your advertising's carry-over, saturation effects, and the optimal timing for engagement, ensuring every dollar contributes to your bottom line.

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Media Mix Modeling (MMM)

Custom model identifying valuable marketing channels through advanced statistics, guiding strategic decisions with enhanced precision.

Historical ROI Analysis

Evaluates past marketing efforts for ROI, informing future strategy with insights from campaign successes and areas for improvement.

Advertising Lag Analysis

Identifies delayed marketing effects, crucial for timing campaigns for maximum efficiency.

Budget Optimizer

Refines marketing investment recommendations across channels for maximum ROI, using historical data to predict optimal budget distribution.

Market Response Modeling

Analyzes market conditions and consumer behavior impact on marketing effectiveness, providing insights for strategy adjustments in real-time.

Carry-Over & Saturation Effects

Analyzes long-term ad impact and diminishing returns to optimize campaign timing and expenditure.

Leading brands trust Plytrix with their data.

"Plytrix has been an invaluable partner for our e-commerce business. As a result, we are able to more easily uncover insights on our customer's behaviors and confidently make decisions."

Divyan Selvadurai

Earth Rated - Co-Founder

"Plytrix partnered with us to develop an effective Media Mix Model which has unlocked valuable insights into the performance of our marketing channels, revealing their influence on sales and foot traffic."

Drew Addington

Slumberland - VP of Marketing

Plytrix followed through on commitments, met (and beat) deadlines, documented everything, and delivered a well-thought out and beautifully executed product— whether it be code or dashboards."

Felicia Levy

Unison - Director of Analytics

We’ve helped companies thrive.

75% repeat customer rate

200+ client sprints delivered

50+ data products built

Media Mix Modeling (MMM)

Media Mix

Modeling (MMM)

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Why Media Mix Modeling