The Automation Of Marketing Mix Modeling
This article will guide you through the automation of Marketing Mix Modeling process as a marketing effectiveness measurement technique.
A new survey of data scientists found that they spend most of their time cleaning the data rather than mining or modeling data. With Mass-Tools, the process takes only a few days to setup, analyse, optimise, and understand any amount of data.
How it Works?
The best way to overcome the limitation of time is by automating some of your processes so once you get the data from the client let it work its magic.
MassFeeds
Data sources have non-unified data formats MassFeeds solve this issue by processing the data received from the clients and generate a formatted output files. The big advantage is our platform can be easily extended with new data sources without any disruption.
MassTer
With MassTer you can explore the data and create thousands of processed variables in a few second using the module process, builds several models manually or automatically, generated based on the constraints, analyse the results and save reports that will be automatically loaded from Excel.
Insight
While humans took months for decoding their prediction algorithms, MassTer Insight did the same in just a few seconds. It’s a simple-to-use a solution that helps optimise the marketing mix. It works based on the constraints either by channel or per period for the sales drivers.
MassShare
MassTer is easily coupled with Excel through MassTer Server. Saved results with MassTer can be displayed in simple charts or tables in Excel. Mass-Tools allows you to focus on more important things, understand the key drivers of your sales’ performance, and identify the strengths and weaknesses of your marketing programs. It advises you on the best strategies to implement to maximise you Marketing ROI, reach your targets and optimise your budgets.
See more:
- Marketing Mix Modeling Expert’s Input on the Covid-19: Baidy SallDePracans, Advanced Analytics Manager at GroupM France
- Marketing Mix Modeling Expert’s Input on the Covid-19: Phil Weissman, Independent Marketing, Analytics, and Business Intelligence Consultant
- How did we adapt to COVID-19?
- Marketing Mix Modeling Experts’ Input on the Covid-19: Christophe Brossard and Charles Xavier, Partners at Metrics720
- Media Consumption & Job Security and the Consequences of the Covid-19: Ken Gamage, Director, Data Strategy, at Cossette Media
- Marketing Mix Modeling Expert’s Input on the COVID-19: Krishnan Nurani, Senior Director & Lead, Business Science at MediaCom Singapore
