BSFI

Arresting Customer Attrition for a leading bank in India

“The team deeply understands financial services and is highly accessible for guiding APAC on the platform's technology and features.”

Nikhil Bandi
CTO, APAC Financial Services private Limited

93% Accuracy in Predicting Churn

93%

accuracy in predicting churn

8-15%

reduction in cost through contact avoidance

10%

of contacts deflected directly to IVR

11%

improvement in agent opportunity to provide complete info

Why the Client Loves nanoBi

93%

accuracy in predicting churn

8-15%

reduction in cost through contact avoidance

10%

of contacts deflected directly to IVR

11%

improvement in agent opportunity to provide complete info

Loved it? Ready to try nanoBI?

About the client

A leading private sector bank in India ranked third in the industry. The bank focuses on customer engagement and digital transformation to enhance service efficiency. With a strong presence in retail and corporate banking, the bank offers a wide range of financial products and services, including loans, deposits, wealth management, and digital banking solutions. Known for its customer-centric approach and commitment to innovation, the bank continuously invests in advanced technologies to enhance customer experience and operational efficiency.

Challenges Before nanoBI

  • High churn rate of 17% of accounts before the project.
  • Customers struggling to get issues resolved.
  • Need for predictive modeling to improve customer retention.
  • An inefficient contact mix leads to high service costs.

nanoBI Solution

  • Implemented predictive analytics using CRM data and speech-to-text analysis.
  • Developed a churn reduction model leveraging key variables like emotions, call durations, and login history.
  • Optimized contact deflection strategy to automate query resolution.

“The team deeply understands financial services and is highly accessible for guiding APAC on the platform's technology and features.”

Nikhil Bandi
CTO, APAC Financial Services private Limited

How Things Have Changed

  1. With nanoBI’s predictive analytics in place, the bank has significantly improved its ability to identify and retain at-risk customers, achieving a 93% accuracy in churn prediction.
  2. Automated contact deflection strategies have reduced the cost of service by 8-15%, while 10% of customer queries are now resolved directly through IVR, minimizing the need for agent intervention.
  3. Additionally, smarter contact handling has led to an 11% improvement in agent efficiency, allowing them to focus on more complex issues.
  4. Overall, the bank has optimized its customer service operations, improved retention rates, and enhanced the customer experience through a data-driven approach.

93% Accuracy in Predicting Churn