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Digital Twin of Customer

A living, learning model of each customer that turns behavior into foresight, and foresight into action.

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Understanding Customers. Predicting Outcomes.

Lacking a clear view of customer intent across fragmented data and channels?

Digital Twin of the Customer enables understanding and delivers real-time, context-driven hyper-personalization at scale.

Need more accurate forecasts on how offers and campaigns impact revenue and profitability?

Simulate and forecast customer responses with Digital Twins to optimize journeys, offers, and decisions before execution.

Why Choose Etiya DToC?

Twin Enablement with an Ideal Customer Twin Ontology

Build continuously evolving customer twins on a structured ontology that transforms real-time signals into a reliable, contextual view of every customer—including newly acquired customers.

Predictive Intelligence with Twin Insights and Actions

Turn customer data into contextual, explainable and actionable predictions. Give business teams instant access to the insights and recommended actions needed to make faster, more informed decisions.

Twin-Based Business Simulations

Test offers, strategies and customer scenarios before execution. Forecast potential outcomes, compare alternatives and optimize decisions with greater confidence.

Twin Communities for Hyperpersonalized Engagements

Continuously group customers by evolving behaviors, needs and intent. Use these dynamic communities to trigger timely, hyperpersonalized engagements that increase ARPU, strengthen loyalty and reduce churn.

Customer Intelligence That Empowers Agentic AI

Provide AI agents with trusted customer context, predictive intelligence and simulation outputs, enabling more relevant decisions and proactive execution across the customer lifecycle.

Build Your Own DToC-Powered Agent

Create specialized agents tailored to specific business goals and use cases, powered by DToC intelligence and connected to existing operational environments.

Accelerate Growth Through Operational Excellence

Improved Campaign Performance

20-35% Increase in Recommendation Acceptance

Data-driven personalization for Next-Best-Offers, with transparent explanations

Enhanced Customer Value

8-15% increase in CLV through proactive retention

Continuous learning and profile updates, real-time modelling, CLV-focused recommendations, predictive churn & upsell signals

AI-driven Engagements for Growth

12-18% increase in ARPU through personalization

Digital Twin-led predictions and hyper-personalization for better conversions; proactive retention, forecasting and simulations

Differentiating Customer Experiences

10-18 points increase in NPS, 30% increase in CSAT

Relevant, contextual experiences across all channels through Twin-based insights

PRACTICAL SCENARIOS

See how continuously evolving customer profiles enable smarter engagement, more accurate predictions, and highly personalized customer experiences.

Scenario

A high-value postpaid customer contacts the call center to dispute a bill.

How the Digital Twin of Customer Works

The customer’s interaction history, current value, and increasing data usage over the past three months are evaluated together. The Digital Twin identifies a 72% churn risk and recommends a social media package aligned with the customer’s usage patterns.

Outcome

The Digital Twin of Customer recommends the relevant package and a retention call, automatically triggering the appropriate process. Instead of relying on generic, predefined flows, the operator can take timely, personalized steps based on current customer data—improving the customer experience and reducing churn risk.

IDENTIFY CHURN RISK EARLY WITH A 360° CUSTOMER VIEW

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