Products

Four Modules. One Unified System.

Prezio is organized into four production-grade modules, each operating as a live service within a shared infrastructure tier. Their value compounds when they run together.

Shared Infrastructure
GCP BigQuery | AEP Real-Time Profiles | Inbuilt ML Models | Product Catalog | Profile Data Store
01
Module 01

Audience
Studio

Real-Time Micro-Segmentation

The segmentation engine that ensures Prezio's decisioning is always based on who a subscriber is right now, not who they were when a segment was last refreshed.

Continuous Micro-Segment Construction
Constructs and continuously refreshes thousands of micro-segments from AEP Real-Time Customer Profiles, ensuring decisioning always reflects current subscriber state.
Multi-Dimensional Profile Attributes
Applies behavioral, transactional, demographic, and network usage signals to define granular subscriber groups with precision that segment-based tools cannot achieve.
Near Real-Time Membership Updates
Automatically updates segment membership in near real-time as new behavioral events arrive from connected touchpoints. No batch cycles, no stale segments.
Zero-Latency Segment Resolution
Provides Persona and Segment context directly to the Decision Hub, enabling zero-latency segment resolution at the point of every pricing decision.
Multi-Brand Concurrent Segments
Supports thousands of concurrent active segments across multi-brand environments within a single platform instance, with full brand governance and isolation.
Sub-200ms Offer Resolution
Applies pricing rules and eligibility logic in real time, resolving the optimal offer-price pair per subscriber in under 200ms, every time, at every interaction point.
Business Guardrail Enforcement
Enforces minimum price floors, maximum discount thresholds, and offer frequency caps as hard constraints, preventing margin-eroding decisions at every decision point.
Four-Tier Structured Offer Payload
Generates a structured four-tier offer payload consumed directly for channel activation. Hero Offer, Market/Festival, Personalized OTT, and Short Validity Filler.
Synchronous and Async Activation
Supports both synchronous API calls for App and Web interactions, and asynchronous journey triggers for SMS, Email, and WhatsApp within a unified decisioning pipeline.
02
Module 02

Decision
Hub

Live Pricing & Eligibility Engine

Every subscriber interaction that touches a pricing or offer decision passes through the Decision Hub. It is not a recommendation engine. It is an enforcement engine that happens to be highly intelligent.

03
Module 03

Simulation
Engine

Pre-Launch Impact Forecasting

No change goes live without a forecast, and no forecast is produced without real subscriber data. The Simulation Engine compresses the gap between a promising idea and a validated commercial decision.

Live Subscriber Simulation
Simulates the financial and behavioral impact of any pricing rule against live subscriber segments before activation. No hypotheticals, only real data.
Uptake Probability Forecasting
Estimates uptake probability, revenue delta, ARPU impact, and segment migration patterns for any proposed pricing change with statistical reliability.
Margin Conflict Detection
Flags risky scenarios where conversion uplift conflicts with margin targets, preventing decisions that look good on conversion but erode profitability at scale.
GCP BigQuery-Powered Scale
Powered by GCP BigQuery, processing subscriber-level behavioral data at scale for accurate, statistically reliable forecasts across the full subscriber base.
Statistically Rigorous A/B/n Testing
Runs statistically rigorous tests across price points, offer compositions, Hero Offer variants, and OTT bundle structures, directly within the live decisioning pipeline.
Primary KPI Measurement
Measures uplift across conversion rate, margin contribution, and statistical significance. Results are traceable, auditable, and directly comparable across variants.
Automatic Winner Promotion
Continuously refines the Decision Hub's live ruleset based on experiment outcomes, with analyst-approved or automated promotion of winning variants directly into production.
Multi-Armed Bandit Support
Supports multi-armed bandit and fixed-horizon test designs for both exploratory and confirmatory pricing research, adapting dynamically to emerging results.
04
Module 04

Experi­mentation

Native A/B/n Testing

Experimentation eliminates pricing guesswork. The platform tests, measures, and learns continuously. Winning variants don't sit in a report. They go live.

Shared Infrastructure

The Foundation Beneath
Every Decision

The four modules operate on a shared infrastructure tier that provides the data, intelligence, and operational services every decision depends on.

Product Catalog
Centralized repository of all active offer and pricing configurations. Managed by pricing teams via no-code interface, no engineering dependency for rule updates.
Profile Data Store
Subscriber profile store maintained in sync with AEP Real-Time Customer Profiles, providing the Decision Hub with current behavioral context at every decision point.
ML Capability
Embedded machine learning models for propensity scoring, churn prediction, and price elasticity estimation. Models retrain continuously against live conversion signals.
Analytics & Insights
Real-time and historical reporting across offer performance, segment conversion, experiment results, and revenue attribution, accessible by pricing analysts and leadership.

Ready to Deploy Prezio in Production?

Talk to our team about your operator's scale, existing stack, and commercial goals. We'll show you exactly how Prezio integrates and what the first 12 months look like.