Maximize the value of your media mix

Media Mix Modelling (MMM), also known as Marketing Mix Modelling, is a statistical technique that enables teams to quantify the impact of various marketing inputs on Revenue or Return on Ad Spend (ROAS).

The goal of MMM is to explain how much each marketing channel contributes to revenue and how much to spend on each marketing channel. It is the foundation for effectively optimizing a paid media budget across different channels.

OutPoint's models apply MMM principles and rely on machine learning and causal inference techniques. Our models are optimized to simulate new and current channels to empower your team to make more reliable spend decisions.

Read more on our approach here.

No. OutPoint is a data science suite focused on predictive modelling of marketing investments. Analytics tools are focused on reporting past events, often using limited click or pixel-based reporting technologies.

Unlike existing Marketing Attribution tools focused on historical analysis and reporting (i.e., "how did we do?"), OutPoint's utility is in future decision-making and paid channel investments (i.e., "where should we invest next?").

We believe there is more value in predicting future outcomes than reporting on the past. With OutPoint, you can simulate optimal paid media mix across current and new paid growth channels to achieve higher revenues, lower costs, or both.

Attribution ≠ Incrementality. Attribution attempts to understand the past, through a bottoms-up linkage of views, clicks and conversions (often based on limited pixel or click tracking). On the other hand, incrementality modelling uses advanced statistical techniques to quantify the value of revenue or new customer acquisition that likely will not occur without various marketing tactics.

OutPoint’s machine learning models improve efficiency and effectiveness by helping brands discover optimal spend levels and re-allocating growth dollars to higher returning areas.

OutPoint's marginal return curve analysis allows you to see how much additional budget you should invest into a channel (or how much you should dial back!)

By identifying points of diminishing returns, you are able to optimize your media mix for maximum efficiency.

OutPoint's advanced growth modelling imputes value to each of your online and offline channels using econometrics, machine learning, and causal inference.

Other methods we can help your team incorporate and model include Brand Lift/Incrementality tests and "How Did You Hear About Us" surveys.

OutPoint lets you understand 'what-if' scenarios, taking into account diminishing marginal returns. You may observe that your customer acquisition cost rises by a disproportionate amount when you increase ad spend. Rising acquisition costs are related to the concepts of Diminishing Returns and Marginal CAC.