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Marketing Mix Optimization

Transform marketing and sales data into sophisticated causal attribution models that deliver automated and customizable optimizations of spending.

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Zero in on the most impactful optimizations by understanding cause-and-effect

Enabling marketing teams to efficiently transform marketing and sales data into sophisticated causal attribution models that map out all causal relationships in the channel. Additionally, it provides automated and customizable optimizations of spending allocations.


Marketing attribution is a cause-and-effect challenge. In essence, marketers need to know the cause of a customer’s purchase (the “why” behind the buying decision) in order to attribute credit to a given channel. And they need to be able to anticipate the effect of a budget allocation decision on sales in order to make the most of their marketing efforts.

Revenue optimization with dynamic budgets

Optimize budget allocation to each spending channel in order to maximize the forecasted revenue for the next quarter. Users can input a budget and optimization parameters such as campaign and channel. The app will then show new forecasted revenue and a revenue split by channel.

89% of marketers have reevaluated their channel mix since the pandemic to try to adapt

Without a more nuanced approach, marketers are running blind to the effectiveness of their initiatives. Which makes finding ways to tweak campaigns for the most impact, all the more challenging. Causal marketing attribution powers a new, more powerful method of marketing mix optimization.

This Marketing Mix Optimization Decision App powered by Causal AI, enables marketing teams to efficiently transform marketing and sales data into sophisticated causal attribution models that map out all causal relationships in the channel and automates recommended optimizations to spending.

Minimization of spending retaining the current revenue

The optimizer finds the optimal budget allocation based on selected scenario. If the goal is to identify the allocation that minimizes budget while retaining forecasted revenue; the app will then find both the optimal budget amount and channel allocation.

Learn more about how Causal AI is revolutionizing the modern marketing stack

Marketers are frustrated with current AI technology, which is limited to predicting customer behaviors. Causal AI goes beyond predictions, generating insights into what drives customer behavior. Industry leading marketing teams are leveraging these insights to make better decisions.

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