Fragmatic
Real-time, marketer-controlled AI web personalization
About
Fragmatic is an AI-assisted web-personalization platform that turns visitor data into real-time experiences—measurable, explainable, and marketer-controlled. Built for teams who want personalization that actually drives growth. AI Agents analyze your ICP, content, and visitor behavior to surface high-impact actions. Topic Analytics shows which themes fuel conversions and which cause friction. Opportunity Radar mines your GA4 data to turn traffic into tactics instantly. Re:Call keeps ad and on-site journeys aligned in real time. All insights are transparent—every recommendation includes a why. Marketers review, adjust, and publish with confidence. No black-box automation. No developer bottlenecks. Just faster learning, higher conversions, and human-led AI execution.
Key Features
Dynamic Content Recommendations
Suggests relevant content to users based on their previous interactions and preferences.
A/B Testing
Allows users to test different variations of content to determine which performs better for conversions.
Geo Targeting
Delivers personalized experiences based on the geographic location of the user.
AI-Driven Insights
Leverages AI to provide contextual content recommendations based on industry and ideal customer profile (ICP).
How to Use Fragmatic
1) Onboard & install: Add Fragmatic's lightweight snippet to your site and connect your analytics, ad, CRM and email platforms (GA4, Meta, Google Ads, HubSpot, etc.). 2) Configure & sync: Let Fragmatic's Foundation Agents analyze your ICP, content and site semantics; connect consented audiences and configure goals/metrics you care about. 3) Review recommendations & build experiences: Use Opportunity Radar and Topic Affinity to surface tactic-ready personalization ideas, review AI Agent recommendations, adjust copy/offers, and preview experiences. 4) Publish, sync & iterate: Publish experiences live with flicker-free delivery, sync cohorts to ad platforms via re:Call for aligned paid/on-site journeys, monitor performance in real time, and refine based on topic-level analytics.