Highlights : About Amp.ai
Funnel analysis
Multivariate testing
User interaction tracking
Event & property analysis
Contextual action policies
Performance metrics
Product Details
Features
Funnel analysis
Visual editor
Test scheduling
Multivariate testing
Statistical relevance analysis
A/B testing
User interaction tracking
Site search tracking
Split testing
Landing pages/web forms
Website analytics
Artificial intelligence (AI)
Event & property analysis
Machine learning
Contextual action policies
RESTO API
Performance metrics
Campaign Segmentation
Test Scheduling
Process/Workflow Automation
Benifits
Machine learning technology
Machine learning technology allows users to see the most relevant variation for each segment, resulting in performance improvement.
Artificial Intelligence to analyze all signals and optimize
Amp.ai uses Artificial Intelligence to analyze all signals and optimize by matching variants with the precise audience segments.
Continuous optimization
Amp.ai’s continuous optimization use cases include checkout and purchases, subscription, personalization, user experience, cancellations, search engine optimization, and more.
Deploys contextual action policies
Amp.ai understands, then deploys contextual action policies to the user’s software straight away.
Focuses on analyzing and optimizing contextual behavior
Amp.ai focuses on analyzing and optimizing contextual behavior and performance, rather than traditional analytics and A/B testing.