Use cases

CONSUMER TARGETING AND PERSONALIZATION

Efficiently acquire new customers

We build state-of-the-art customer acquisition solutions by combining first- and third-party customer data, creating advanced statistical models for lead scoring, and integrating models with transactional systems, marketing automation software, and external advertising platforms. Our clients often achieve double-digit improvements in conversion rates using our customer intelligence platforms. The systems we create using big data analytics and actionable methods for decision automation not only improve customer experience but also provide your business the ability to hit your sales goals.

CUSTOMER GROWTH AND RETENTION

Retain customer and prevent churn

Our customer intelligence solutions help enterprises to manage and optimize all stages of the post-acquisition customer lifecycle. Our models for one-time buyer conversion, customer retention, and churn prevention not only help to improve targeting decisions but also provide deep insights into churn drivers, customer lifetime value profiles, customer microsegments, and much more. These customer insights are critical for building strong customer relationships, improving customer lifetime value, and achieving strong competitive advantage.

PRESCRIPTIVE MODELS

Optimize next best action

Predictive analytics models provide useful customer insights to marketing teams, but many enterprises struggle to reconcile dozens of scores and efficiently operationalize all these signals. Our prescriptive solutions take it to the next level by automatically optimizing actions and even sequences of actions based on all available information. The overall business process, even at the enterprise level, will be improved, so you can focus on management while our system focuses on customer growth.

EXPLORATION AND EXPERIMENTATION

Dynamically personalize content

Traditional marketing models rely on historical data to make future decisions, but this approach falls short in dynamic environments with steady flows of new users, products, and pieces of content. We leverage the latest achievements in reinforcement learning with real-time customer data to actively explore the environment, continuously learn, and manage various aspects of customer experience even when historical data are not available.

PERSONALIZATION

Personalize B2C and B2B recommendations

Our recommendation solutions work in both B2C and B2B environments because of a rich set of algorithms that accounts for content similarities, user similarities, behavioral patterns, market trends, and textual and data visualization. A wide range of recommendation and personalization models creates a strong foundation for building excellent user interfaces, improving sales metrics, and increasing customer satisfaction.

Our clients

Google logo
Apple logo
Paypal logo
macy's brand logo

RETAIL

Neiman Marcus logo
SHIMANO logo
Grandvision logo
macy's brand logo
Lowes logo
Logo of American Eagle

HI-TECH

Google logo
Verizon logo
IAS logo
2k logo
curiositystream brand logo

MANUFACTURING & CPG

Jabil logo
Stanley Black&Decker logo
Levis logo
Boston Scientific logo
Tesla logo

FINANCE & INSURANCE

Paypal logo
SunTrust logo
logo of travelers brand
Raymond James logo
risers logo
Marchmilennan logo

HEALTHCARE

align logo
Rally logo
talix logo
Vertex logo
Merck logo

Churn analytics and prevention Starter Kit

How our customer intelligence technologies work

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
  • 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
  • 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
  • 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.

Industries

We develop customer intelligence platforms for enterprises from many industries including retail, telecom, video games, and finance

Learn more about solutions for your industry

Read more

Accelerate the Journey to AI

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.

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