How a Tier-1 EU Insurer Achieved a 5.5% Upsell Lift with Unified Customer Intelligence
Client Overview
A leading Tier-1 insurance provider in the EU, the client offers a diverse portfolio of insurance products, serving millions of customers. To stay competitive in a rapidly evolving market, the company aimed to enhance customer engagement, improve personalization, and maximize customer lifetime value through strategic upselling.
Problem Statement
For insurance companies, revenue growth heavily depends on upselling the right products to the right customers at the right time. However, the client faced significant roadblocks
Siloed customer data across various touchpoints, making it difficult to get a unified view.
Inefficient upsell targeting, leading to missed opportunities and suboptimal customer experiences.
Complex consent management, with fragmented marketing preferences across channels and devices.
Without a consolidated approach, the company struggled to execute effective upsell strategies and improve customer lifetime value.
Key Challenges
Lack of a Single Customer View
Customer data was fragmented across platforms, making it challenging to create personalized experiences.
Suboptimal Upsell Targeting
Without predictive insights, identifying the right customers for upselling was inefficient.
Consent & Compliance Complexity
Customers had varying consent preferences across different channels, requiring a standardized approach.
Solution Implemented
To overcome these challenges, the insurer leveraged Custonomy.AI’s CDP, powered by Digital Twin of the Customer (DToC), to unify data, refine targeting, and enhance customer journeys.
Data Unification & Single Customer View
Consolidated first-party data from multiple sources to create a real-time Digital Twin of each customer, enabling a 360° view of their needs, behaviors, and policy history.
Advanced Consent Orchestration
Standardized and centralized consent management to ensure compliance with GDPR and other EU regulations while enabling personalized engagement.
AI-Driven Predictive Audience Targeting
Utilized machine learning models to identify high-potential customers for upselling based on behavioral signals and intent forecasting.
Multi-Channel Personalized Upselling
Leveraged real-time customer insights from DToC to orchestrate upsell offers across digital touchpoints (email, web, mobile, call centers) at the optimal time.
Business Impact
By implementing a unified data-driven strategy, the insurance company achieved
5.5% incremental upsell lift,
increasing revenue potential.
Improved personalization,
leading to higher customer engagement.
Streamlined compliance & consent management,
ensuring seamless and compliant customer interactions.
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