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.

ROAS

What a Marketing Mix Modeling solution includes

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.

Deliverables that drive results

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.

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

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.

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.

Our process

Strategize Smarter, Spend Wiser

Our media mix modeling process is streamlined into six critical steps: initial goal alignment in our kickoff meeting, extensive data collection, early data analysis for accuracy and correlation, marketing mix modeling development focusing on feature selection and ROI, budget optimization through forecasting, and final model calibration using geo lift experiments. This concise approach ensures data-driven, actionable insights for optimal marketing spend and strategy.

Phase 1: Setting the Foundation
one
Kickoff Meeting

We start with a comprehensive discussion to understand your goals, challenges, and specific needs. This session ensures we are aligned on objectives and outcomes.

two
Data Access and Gathering

With your collaboration, we secure access to the necessary data, setting the stage for our in-depth analysis. This phase is critical for gathering the insights to fuel your growth.

three
Preliminary Analysis

 Initial data checks and feature identification are performed at this stage to set the foundation for building the MMM.

Phase 2: Building & Refining the Model
four
Model Building

Developing the MMM model, including ROI calculations. Additionally, at this stage we will build automated dashboards to enable easy access to MMM outputs.

five
Budget Optimization

The model is used to forecast and optimize next month’s budget allocation. The output is an optimized media spend mix based on a defined budget.

six
Maintenance & Calibration

After the initial build, the model is fine-tuned the via geo lift experiments. Additionally, we may explore additional inputs to improve performance.

Strategies for integrating Media Mix Modeling into a holistic marketing framework that covers all channels.

Insights

We recommend collating and including all data sources, including online and offline media, to enhance the integration of mixed media modeling. Furthermore, regularly updating the model ensures it stays relevant as new campaigns and channels emerge, enabling more accurate attribution. Aligning marketing mix modeling insights with broader marketing objectives helps to inetragrate the marketing mixed modeling analysis into full marketing mix. We provide our clients with ongoing mixed marketing modeling support options to ensure seamless integration of the mixed marketing modeling into their marketing framework.

Tips and techniques for optimizing your marketing mix modeling to maximize returns.

ROAS

We recommend implementing consistent data governance and processes across all marketing channels, regularly auditing for quality to maximize the outputs from the marketing mix modeling analysis. Keep your model up-to-date by refreshing it frequently, especially after launching new campaigns or platforms. Finally, test different spending scenarios and validate the outcomes against real-world sales to refine the marketing mix modeling optimization and to make more informed, data-driven decisions.

Why choose our media mix modeling company?

Cost

Our media mix modeling company leverages AI/ML technologies for unbiased, data-driven decision-making and our digital media mix modeling helps you to identify valuable marketing channels through advanced statistics, guiding strategic decisions with enhanced precision. Our media mix modeling company can help your business in identifying the impacts of delayed marketing effects, which is crucial for timing campaigns for maximum efficiency. Through these, we help you inform your future strategy with insights from campaign successes and areas for improvement.

Meet our marketing mix modeling experts

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Our team of marketing mix modeling experts comprises skilled data scientists and engineers who have a combination of 30 years of experience in data analysis. Our cutting-edge analytics have helped businesses optimize their marketing strategies and our specialists work closely with you to understand your unique marketing channels and the external factors that influence them, ensuring tailored solutions that drive results. Whether you're navigating a complex media landscape or refining existing strategies, our experts at the marketing mix modeling company are here to guide you every step of the way.

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
Logos of various health and wellness brands arranged in a circle around the Plytrix logo, representing partnerships and collaboration.

Frequently Asked Questions

What is Media Mix Modeling?

How does MMM differ from other marketing models?
Can an MMM adjust to rapid market changes?
What makes your MMM services unique?
How do you ensure accuracy in your MMM results?