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AI Model Risk Management
AI Model Risk Management in 2022: It can take up to two years for the internally developed models to be validated and accepted by regulators.9 out of 10 models do not pass internal governance ...
Read moreZero 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 that drive conversions. 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 behavior (the “why” behind a buying decision or action) 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 ROAS, in order to make the most of their marketing efforts.
