- What is MMM: it is an econometric technique applied to marketing, which uses data science to predict the impact of investment in media on sales
- Evolution of the MMM: developed in the 60s, it went from manual analysis to include online data and Artificial Intelligence, adapting to changes in data privacy and technology.
- Impact of Artificial Intelligence: AI Transforms MMM, allowing for more accurate predictions, personalization, real-time optimization, and identification of complex insights.
Is it possible to analyze media investments that reveal the future like a crystal ball? Showing which marketing strategies are driving your sales and predicting the results you will have down the road?
O Marketing Mix Modeling (HMM) is almost that, but instead of magic, it's based on data science and statistics. By using data from a variety of sources, including advertising spending, promotions, pricing and, of course, sales, the HMM helps us understand how each element of our marketing mix contributes to the overall success of the business.
The History of Marketing Mix Modeling: Origins and Evolution
The MMM technique has its origins in 60's. With the advent of advertising on television, several discoveries appeared during the decade that combined Econometrics and marketing, including the famous “Four Ps” and the theory of”Ad Stock“.
MMM appears along with these, and since then it has evolved from a lengthy and manual work, focused on offline channels, to a computational methodology that incorporates a wide range of data and advanced statistical techniques.
However, with the advancement of the internet, the MMM was low for some time, because it lost space for tracked attribution methods, which were able to track the user. It wasn't until recently, when data protection laws began to get tougher, that it returned to popularity.
Today, the MMM has adapted to include data from various online platforms, macroeconomic analyses sophisticated, and the use of Machine Learning to predict and optimize sales performance in an unprecedented way.
How Marketing Mix Modeling works — Statistical Regressions
Let's start with the technical part: the first step in MMM is to use statistical regressions to establish relationships between sales and different marketing variables, such as advertising spending on different channels, sales, direct marketing activities, among others.
These regressions help determine how variations in marketing investments affect sales, allowing us to estimate the sales sensitivity to each type of marketing activity.
O Modern MMM uses artificial intelligence (we will talk about this in more detail later) to complement statistical analysis, by identifying complex patterns in the data that may not be evident or easily modeled by traditional statistical methods.
Machine learning algorithms can, for example, capture nonlinear relationships and interactions between variables that influence sales, increasing the accuracy of the predictions and insights generated by the model.
Use of Historical Investment and Sales Series
The model is based on historical data of marketing investments and corresponding sales.
This includes not only the amount of money spent on different marketing channels, but also data on sales during the same period. Analyzing this time series allows the model to understand how sales respond to different levels and types of marketing activities.
Calculation of the Average Sales Sensitivity
Using regressions and AI techniques, the MMM calculates the average sales sensitivity to each marketing variable.
This means that the model quantifies how much a change in a specific marketing variable (for example, increased spending on digital ads) is expected to Affect sales, keeping other variables constants.
Impact Isolation
For the MMM to provide accurate and useful assessments, it is crucial isolate the effects of marketing activities from other factors that can also influence sales. This includes:
Seasonality: Adjustments are made to take into account seasonal buying patterns, such as increased sales during holidays or specific events.
Price and Promotion: Changes in product prices or promotional offers need to be considered, as they have a direct impact on sales.
Economics: Variations in the general economy, such as changes in purchasing power or consumer confidence, also influence sales and must be controlled.
Competition: Competitors' marketing activities and pricing strategies affect sales performance, requiring adjustments to the model to reflect these external impacts.
Artificial Intelligence: The Secret Ingredient of Modern Marketing Mix Modeling
To understand how modern models of Marketing Mix Modeling (MMM) are able to predict the return on investment in media, it is essential to introduce the concept of Artificial Intelligence (AI), an expression that you must have undoubtedly found out there. To briefly explain how AI operates, let's use AlphaGo as an example, developed by DeepMind, a Google company.
O AlphaGo is an AI system that learned to play Go, an ancient and strategic board game. The complexity of Go, with its numerous playing possibilities, has always represented a significant challenge for AI, far beyond what games such as chess offer.
However, through the use of AI, AlphaGo overcame this obstacle. It began with learning thousands of Go games, assimilating patterns and strategies from that data. Later, adopting a technique known as reinforcement learning, AlphaGo began to play against itself, refining its skills with each game, until it was able to surpass the best human players globally. AlphaGo's trajectory highlights the essence of AI: the ability to learn from data, evolve with experience, and perform tasks previously seen as exclusive to human intelligence.
By learning with each game, AlphaGo shows how AI can surprise us, expanding the boundaries of what's possible in multiple areas. In addition to games, in MMM, these skills are extremely valuable, as we will see below.
Revolutionizing Marketing with Artificial Intelligence at MMM
The Use of Artificial Intelligence in Marketing Mix Modeling (MMM) revolutionizes the way in which companies understand and optimize their marketing strategies.
By integrating AI into MMM, analytics become deeper and more predictive, offering accurate insights and personalised that were impossible to achieve with traditional methods. Here are a few lines about how AI elevates MMM to a new level of effectiveness:
Artificial Intelligence allows MMM not only to analyze historical data, but also to predict future trends and the impact of marketing strategies with impressive accuracy. This means that companies can anticipate changes in the market and adjust their strategies proactively.
With AI, MMM can identify consumer patterns and segments with unprecedented granularity, allowing for mass personalization of marketing initiatives. Campaigns can be adjusted to meet the specific needs and preferences of different customer groups, maximizing relevance and effectiveness.
Machine learning provides MMM with the ability to continuously learn from new data, adjusting and optimizing marketing strategies in real time. This means that companies can adapt quickly to market changes and consumer behaviors, keeping their strategies always ahead of the curve.
By identifying which marketing strategies offer the best return on investment, AI helps companies allocate their resources more efficiently. Not only does this increase marketing effectiveness, but it also reduces waste, ensuring that every marketing dollar is invested in the best possible way.
Artificial intelligence is capable of analyzing large sets of complex data and detecting patterns and correlations that would be virtually impossible to identify manually. These insights can reveal new market opportunities, in addition to helping companies better understand the combined impact of different marketing variables.
In short, by integrating Artificial Intelligence with Marketing Mix Modeling, companies unlock an unprecedented level of analytical intelligence, predictive accuracy, and operational efficiency.
AI transforms MMM from a retrospective analysis tool into a proactive and dynamic instrument for planning and executing winning marketing strategies.
How to start implementing Marketing Mix Modeling? Uncover will build a guide to help you!
To start your MMM journey, it's essential to have access to sales, marketing, and financial data, in addition to the correct statistical techniques.
Uncover is developing a definitive MMM Guide to reveal the secrets behind effective marketing campaigns.
In order not to miss anything on the topic, subscribe to Uncover newsletter on the form at the bottom of the page and follow us on our social networks — we are at LinkedIn, no Instagram, no YouTube And no Spotify.
Do you want to implement Marketing Mix Modeling in your company today?
Uncover offers a web platform that simplifies the implementation of Marketing Mix Modeling, making it accessible even for those with no background in data science or engineering.
Transform your marketing department with the power of MMM and start making decisions based on accurate data and predictive analytics.
suffices fill out this form that we will contact you!