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.

Measure channel and campaign efficiencies

We develop media mix models that measure the true contributions of channels and campaigns into traffic, conversions, and other business results. These models combine first-party data, external signals, market-level data, and general observations of the marketing teams to accurately gauge channel efficiencies and provide a scientific foundation for marketing optimization. The technology of the platform allows for budgeting improvements while also increasing the productivity of lead generation and customer acquisition.

Understand what drives visits and conversions

Attribution is one of the most challenging problems in marketing data science. We create attribution models that combine customer data, prior knowledge of the marketing teams, and state-of-the-art machine learning algorithms to provide reliable and actionable insights into the performance of channels and campaigns at different levels of granularity—from the overall conversion numbers to individual customers. Our omnichannel marketing analytics technology provides unparalleled insight into customer activity, thus helping to fine-tune all aspects of the marketing effort.

Optimize marketing spend

Attribution models and channel analytics provide a solid foundation for marketing budget optimization. Our tools add an optimization layer on top of the core attribution models, thus enabling what-if analysis and automatic budget reallocation. Our marketing analytics tools can help you optimize marketing spend in a few quick steps—evaluate our software platform, optimize your marketing spend on ads, and improve your overall performance in a matter of weeks.

Optimize ad bids

Bid optimization is a complex process that involves business objectives, budgeting constraints, inventory or service capacity, and other considerations. We create machine learning–powered bidders that can automatically optimize profits, maintain company ranking in the search results, or maintain certain inventory turnover. Our bid optimization systems take into account a wide range of data and signals, including conversions, marketing activity, seasonality, regional data, and more.
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).


We offer free half-day workshops with our top experts in marketing spend optimization and data science to discuss your marketing strategy, marketing channels, and ROI optimization opportunities.


If you have already identified a specific use case that needs to be solved, we usually can start with a 4-8 weeks proof-of-concept project to deliver tangible results and business value.


If you are in the stage of requirements analysis and strategy development, we can start with a 2-3 weeks discovery phase to identify right use cases for marketing spend optimization, design a solution using industry best practices, and build a roadmap.