Efficiently acquire new customers
Retain customer and prevent churn
Optimize next best action
Dynamically personalize content
Personalize B2C and B2B recommendations
How our customer intelligence technologies work
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.
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.
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.
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.
We offer free half-day workshops with our top experts in marketing technology and customer analytics to discuss your customer intelligence strategy, challenges, optimization opportunities, and industry best practices.
If you have already identified a specific use case that can be solved using data science and other customer intelligence technologies, we usually can start with a 4-8 weeks proof-of-concept project to deliver tangible results for your enterprise.
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 customer intelligence and personalization, design your solution using industry best practices, and build an implementation roadmap.