Marketing spend optimization

Use advanced statistical models to optimally allocate budgets across marketing channels and measure the true contribution of each channel or campaign. Leverage marketing data to gain insights for potential growth and areas of investment to improve the bottom line.

Our clients

How our spend optimization technology works
Continuous learning
Our spend optimization solutions continuously correlate marketing activity parameters (such as sponsored search bids) with business outcomes and progressively learn the dependencies between them. The established dependency is used to optimize the activity parameters. Your ads could be shown on Google or Facebook, and we can still help with the management of the ads for optimal spend.
Smart experimentation
Parameter optimization in ever-changing environments requires testing and experimentation. Our algorithms optimize the exploration vs. exploitation trade-off and determine the optimal parameters with minimal overhead. Marketing models that explore the environment improve with the increasing amount of data that comes in from your business. Google Analytics can only do so much, and we can come in to take care of the rest.
Resource-aware optimization
Our bidding solutions can use the information from multiple sources such as inventory management and ERP systems to accelerate or decelerate advertising activities depending on the available resources and capacities.
Introduction to Algorithmic Marketing
Introduction to Algorithmic Marketing
Would you like to learn more about the economic and algorithmic foundations of marketing optimization and related problems? We have published a 500-page book on enterprise data science that is available for free download, and there is an entire chapter on campaign optimization and marketing analytics in it.

We provide flexible engagement options to design and build your own marketing optimization solution. Contact us today to start with a workshop, discovery, or proof-of-concept (POC).