Marketing Mix Modeling Managed Services
We offer our clients a contemporary approach to running Marketing Mix Modeling leveraging automation and ML techniques to create faster, transparent and dynamic models delivering granular results and actionable recommendations.
How Does it Work?
Our Online Training Platform is composed of a rich combination of educational materials designed for any business/participant wanting to learn the inner workings of Marketing Mix Modeling and master the different phases of an MMM project.
A Training Completion Certificate will be delivered once the participant completes all the courses and passes successfully the comprehensive final assessment.
Ensuring
+20% in ROI & 50% Time Saving
Measure
Sales drivers.
Return on investment (ROI).
Forecast
Sales Response to Different Media Budgets.
Scenario Evaluation.
Optimize
Optimal Media Budget Allocation.
Media Laydown Optimization.
Optimal Budget to reach a specific Target.
A Faster
Marketing Mix Modeling Project Turnaround
MASS Analytics has a defined process to conduct effective MMM projects which starts from Business Understanding to delivering Recommendations and Actionable Insight to help optimize budgets and improve performance.
The process is inspired by the Cross-Industry Standard Process for Data Mining (CRISP-DM), This process is implemented in our suite of modeling software & tools and has been proven to decrease MMM project turnaround by as much as 50%.
1. Business Understanding
- Understand the business challenges
- Define the set of KPIs to be measured
- Define the set of input data
2. Data Collection
- Liaise with the different stakeholders
- Collect all the needed data
- Clean, prepare and harmonize data
3. Data Exploration
- Examine all the data collected
- Visualize and analyze variables
- Build hypothesis for modeling
4. Modeling
- Test all variables’ combinations
- Test different hypothesis
- Build commercially and statistically valid models
5. Evaluation
- Validate Models to ensure robustness
- Evaluate results and model soundness
- Fine tune models with client (progress meeting)
6. Deployment
- Share recommendations and deploy results
- Provide optimization and simulation insight
- Disseminate for a wider adoption of results
Our Clients' Verdict
I’m highly impressed with the depth of insights and the speed at which they’re delivered—usually, you get one or the other. The results instil confidence, and I truly enjoy interacting with the modeling team, who are always patient, thorough, and professional in their approach.
Our team, which led the enablement of MassTer usage across our business units, was nominated for and won the prestigious internal company award. This achievement would not have been possible without your outstanding product and the incredibly supportive partnership of your entire team.
MassTer has made modeling significantly faster, mainly due to the automation of data transformation and real-time analysis. It is the right Marketing Mix Modeling tool, enabling us to run multiplicative and nested models with ease. The support team is highly responsive, open to discussions, and continuously improves MassTer by introducing new functionalities.
We partnered with MASS Analytics to bring MMM in-house, and the progress we’ve made has been remarkable. Comparing where we started to where we are now, adoption across the business has significantly improved. The MASS Analytics team provided structure, guidance, and continuous support, ensuring MMM execution is seamless and effective.
Having worked with MASS Analytics for over three years, it is evident they have built a highly experienced team of modeling and analytics experts. They are always available, proactive in offering support, and dedicated to ensuring successful outcomes for their clients.
MASS Analytics demonstrated a strong understanding of our business challenges and designed tailored, actionable solutions to address them. Their team has been consistently available to answer queries, provide expert guidance, and ensure we receive the right level of consultancy throughout our project
