BFSI

Unified Customer Intelligence Enabling Compliant Cross-Sell and Retention

Ganit built a unified Customer 360 intelligence framework for a leading NBFC, enabling hyper-personalized engagement across servicing, marketing, and sales by consolidating interaction history, behavioural signals, and risk indicators.

We made a visible and measurable impact to our client's business

• Single, unified customer view across channels
• Improved cross-sell targeting accuracy
• Early churn signal detection
• Better alignment across service, marketing, and product teams
• Compliant personalization with governed data access

Customer engagement became signal-driven interactions.

Challenge

Industry overview

In NBFC environments, customer engagement spans multiple touchpoints like collections, servicing, marketing campaigns, branch interactions, and digital channels. Without a unified intelligence layer, organizations struggle to derive actionable insights from fragmented interaction data.

The problem

The client’s ecosystem included:

Channel-wise reports without integrated context
Separate tracking of service, marketing, and product interactions
No consolidated interaction history for 360-degree visibility
Limited insight into NPS drivers and behavioural churn signals

This resulted in lack of a single view of the customer, missed cross-sell opportunities, reactive retention strategies, and inconsistent engagement experiences.

Our role

Ganit was engaged to build a Customer One-View foundation and operationalize hyper-personalization within a governed data framework.

Our approach

Methodology

Customer One-View Builder - We engineered a centralized interactions mart that unified customer events across digital, branch, servicing, and marketing touchpoints. Identity resolution mechanisms ensured accurate mapping across systems.

This created a trusted, event-level Customer 360 foundation.

Hyper-Personalization Engine - Behavioural segmentation and propensity signals were layered on top of the unified data mart. Targeting logic was governed to ensure regulatory compliance and appropriate usage of customer data.

Personalization strategies were aligned with product eligibility, lifecycle stage, and engagement patterns.

Lead Scoring Agent - A scoring agent prioritized customers for cross-sell and retention campaigns based on risk-adjusted propensity models. Signals were surfaced directly to servicing and marketing teams for actionable follow-up.

Monitoring & Governance - Dashboards tracked:

• Cross-sell conversion performance
• Retention outcomes
• Engagement patterns
• NPS and service signals

All targeting logic and model outputs were traceable and auditable.

How did we enable consumption?

• Event unification and identity resolution pipelines
• Integration with CRM and campaign systems
• Auto-refresh data pipelines
• Executive dashboards for portfolio-level oversight

A valuable difference

Our impact

The transformation replaced siloed reporting with actionable intelligence.

• Teams accessed a unified, real-time customer profile
• Cross-sell efforts became signal-driven instead of campaign-driven
• Retention strategies shifted from reactive to predictive
• Leadership gained visibility into engagement effectiveness

By combining Customer 360 foundations with governed hyper-personalization, Ganit enabled the NBFC to drive compliant growth, improve retention, and strengthen long-term customer value, without compromising control or data integrity.