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The client aimed to expand its lending portfolio by targeting debt-free, high-revenue Indian corporates. Leveraging D&B’s data, 500 large corporates were identified and prioritized, enabling focused outreach by the bank’s sales and marketing teams.?

Challenges faced by the client

The client aimed to explore the Indian corporate landscape to identify top-tier, debt-free companies for lending opportunities and expand their corporate market presence. Leveraging data insights, the bank sought to build a targeted lending use case and deepen its reach on the corporate sector.?

Internal challenges

The bank’s internal data infrastructure was limited, lacking a comprehensive view of the Indian corporate landscape particularly in identifying debt-free, high-potential companies. Its existing systems couldn’t effectively filter or prioritize corporates based on detailed financial metrics such as revenue and cash reserves. Moreover, the sales and marketing teams did not have direct access to reliable contact information. ?

External challenges

Externally, the bank faced challenges navigating a vast, fragmented corporate ecosystem with outdated or incomplete public data. The competitive landscape heightened the difficulty, as numerous financial institutions competed for the same high-value, low-risk corporate clients.

How D&B helped?

D&B leveraged its Data Cloud to curate a universe of Indian businesses that matched the bank’s criteria—specifically, companies with high revenue, strong cash reserves, and no related debt. D&B prioritized 500 large corporates and provided detailed financial data along with direct contact information. This enabled the bank’s sales and marketing teams to efficiently reach out to high-potential clients and accelerate their corporate lending strategy.

Key learnings

  • Data to Identify the Right Audience/Customer?
  • Prospect Targeting?
  • Segmentation to Accelerate Client Acquisition?
  • ?

Product

Sales & Marketing Solutions, Analytics

Industry

BFSI

Function

Intelligent Prospecting

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