In today’s digital world, a large amount of data is created every second. While businesses in the fintech space know its value, only a few effectively use it to improve customer interactions across channels or touchpoints.

By leveraging the power of data, banks can ensure a smooth customer experience across mobile, web, social media platforms, in-store services, wearables, and more!

When seamless interactions are the key to customer satisfaction and loyalty, make sure you do everything it takes to enable smooth and uninterrupted experiences!

How Channel Analytics Help Banks Serve Customers Better

Tracking customer insights like payment patterns and app navigation can tell a lot about what is working for them and their pain points. Understanding customer behaviour through detailed analytics is vital in today’s banking landscape. By examining interactions like payment trends, successful logins, attempted registrations, navigation patterns, transaction histories, channel preferences, and more, banks can identify common hurdles and refine their services for enhanced customer satisfaction. This doesn’t just help banks adopt to customer needs but also predict future behaviours, keeping banks competitive and aligned with evolving market demands.

Channel Analytics is tailored for the modern banking customer who likes using different channels. It dissects and understands user interactions during important events like onboarding, login, payments, and engagement. By harnessing the power of data-driven insights, banks can create personalised experiences, drive customer satisfaction, and ultimately, strengthen customer loyalty in an increasingly competitive landscape.

Unlock insights into how customers journey across various channels, pinpoint bottlenecks, elevate customer experiences, and foster meaningful engagements.

5. Customer Journey Analysis

Customer Journey Analysis

Tracks and analyses customer interactions across various touchpoints. Enhances understanding of the customer experience and identifies opportunities for improvement.

6. Real-Time Customer Engagement Analysis

Real-time Customer Engagement Analysis

Monitors and evaluates customer interactions as they occur in real time. Enables immediate response and adaptation to customer behaviour, maximising engagement and satisfaction.

1. Descriptive Analytics

Descriptive Analytics

Provides a comprehensive overview of historical data and transaction patterns. This offers clarity by presenting complex data in easily understandable formats.

2. Predictive Analytics

Predictive Analytics

Utilises historical data and algorithms to forecast future trends and behaviours. This enables proactive decision-making by anticipating customer needs and preferences.

3. Prescriptive Analysis

Prescriptive Analytics

Recommends actions based on insights derived from data analysis. This facilitates strategic decision-making of digital marketing by providing actionable recommendations.

7. Error Identification

Error Identification

Detects and logs instances of system or application errors, enabling prompt resolution to maintain operational efficiency and user satisfaction.

8. Total Screen Viewed

Screens Viewed

Tracks and aggregates the time users spend viewing screens or pages across channels, providing insights into user engagement and content popularity.

9. Failure Identification_1

Defect Analysis

Identifies instances where customer’s transactions fail to complete successfully, facilitating quick diagnosis and resolution to minimize disruptions and optimize performance.

10. Total Active Hours_1

Usage Time

Measures the total duration users actively engage with a system or application, offering insights into usage patterns and overall user engagement metrics.

Overview of Key Metrics Presented in Channel Analytics

Explore essential metrics that shape our understanding of channel performance, including viewer trends and engagement rates.

Peek behind the curtain of customer interactions across all channels to understand patterns and behaviours.
Transform with the power of Channel Analytics.

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