Innovate and learn with Dynamic Experimentation!
The Dynamic Experimentation Module empowers businesses to move beyond traditional learning methods by leveraging continuous, adaptive, and real-time experimentation. With real-time, AI-driven experimentation, businesses can start experimentation with or without data, utilize adaptive AI to test hypotheses, continuously learn and refine strategies across touchpoints, and deploy faster to reduce time-to-market, acting smarter every step of the way. It transforms the way organizations learn, predict, and grow, unleashing real-time innovation at every stage.
Adapt, predict, and refine customer learning strategies
Start experimenting immediately using AI-powered insights to generate predictive data on the go. Learn from real-world customer interactions to shape your strategy.
Deploy experiments quickly and adapt in real time. Validate product or service variations before full-scale deployment.
Move beyond “one-size-fits-all” by customizing offers and interactions based on behavioral changes as they happen.
Test and refine products or services in parallel to traditional data science, enhancing insights while staying agile.
The True Power of Dynamic Experimentation
The Dynamic Experimentation Module is unmatched in it’s adaptability to any data scenario, ensuring impactful results whether you have with rich data or starting from scratch.
Refinement with data
- Leverages historical datasets to predict future trends with accuracy.
- Identifies and addresses performance gaps in existing strategies.
- Continuously enhances outcomes by fine-tuning approaches based on live feedback and evolving data patterns.
Intelligence without data
- Utilizes AI-powered algorithms to create predictive models without the need for pre-existing datasets.
- Generates actionable insights from real-time experiments, enabling informed decision-making in new markets or novel contexts.
- Provides a robust foundation for innovation and strategy-building in data-scarce environments.
Dynamic Experimentation in action!
Dynamic Experimentation is the future of learning and engagement
Experimentation bridges the gap between expectation and reality by continuously testing and adapting based on customer behavior. This approach provides an authentic understanding of their needs and preferences, fostering deeper engagement and building trust. By rooting strategies in real-world interactions, businesses become more resilient, agile, and impactful in meeting the dynamic demands of their audience.
Activate Dynamic Experimentation in the Prediction Platform!
The first low-code environment to combine behavioral
social science with real-time machine learning.
Experiment to get in-production testing frameworks for your predictions
Test the power of your offers in real-time. Provide variations of your product or service, in order to discover exactly what the humans you are speaking to really want. Be inspired by your people and let them show you how best to sell, communicate, interact or offer.
Test predictive capabilities without any data
System constraints, new products, cold-start scenario – there are many reasons to not have data. But that does not mean you can’t make predictions. Use dynamic experimentation to learn and rapidly iterate while the traditional data science process is being completed.
Test environments with side-by-side alternatives
Enhance user experience and prediction validity by offering alternatives and see how they perform. Monitor and make changes to your offer environment based on the popularity of one choice over another.
Personalize in real-time based on human behavioral changes.
Move beyond the general limitations of A/B testing and discover breakthrough insights as they evolve. Monitor behavioral changes during testing and adjust offers with speed and confidence.