Customer intelligence and personalization

Automatically optimize billions of micro-decisions related to customer experience, personalization, message targeting, and timing using machine learning and advanced analytics. From small business to enterprise, enhance the customer experience and achieve tangible results using real-time, personalized components.

Our clients

Retail
Hi-tech
Manufacturing
Finance
How our customer intelligence technologies work
Advanced customer scoring

Our customer intelligence platforms generate a wide range of advanced signals that help marketers focus on high level business goals related to their customers:

  • Propensities to channels and brands
  • Estimated customer lifetime value
  • Propensity to try new products, increase consumption, or churn
  • Estimated replenishment cycles

These scores and metrics can be used by enterprise business analysts or consumed by downstream enterprise systems. Top-of-the-line feature and data management systems and advanced analytics signals created by our data engineers and data scientists can improve your overall business revenue.

End-to-end decision automation

We build systems that understand top-level business objectives, and optimize marketing actions accordingly through:

  • Contextual personalization and scoring
  • Dynamic targeting and budgeting decisions
  • Campaign arbitration

These smart decision-making components can be integrated with a wide range of marketing analytics software and systems including eCommerce platforms and advertising platforms.

Dynamic optimization

Our consumer intelligence solutions use advanced machine learning methods for the online experimentation and dynamic optimization of marketing actions based on real-time feedback data:

  • Reinforcement learning
  • Multi-armed bandits
  • Learning to rank

These algorithms can efficiently handle consumer data with a large number of new users or frequently updated pieces of content. We collect all sorts of business intelligence to be used to help with the business processes, despite only customer data being used at the end.

Introduction to Algorithmic Marketing
Book
Introduction to Algorithmic Marketing
Would you like to learn more about the theoretical foundations of customer experience optimization? We have published a 500-page book on data science that is available for free download, and there are chapters on data-driven customer acquisition, customer retention, promotion personalization, and product recommendations in it.
Learn more about solutions for your industry

We provide flexible engagement options to design and build a customer intelligence and analytics solution for your enterprise. Contact us today to start with a workshop, discovery, or POC.