The client sought to target Indian MSMEs involved in import and export. D&B identified and prioritized 50,000 such businesses using sector, region, and size filters, providing contact details to support the bank’s outreach. This enabled the bank to focus on high-potential SMEs
The customer was aiming to expand its reach within the Indian MSME sector, particularly focusing on businesses involved in import and export. However, the challenge lay in the vast and fragmented nature of the MSME landscape in India. The bank needed a way to accurately identify and prioritize relevant MSMEs that matched their strategic focus. Without precise data and segmentation, their sales and marketing efforts risked being inefficient and misdirected.
The bank lacked a refined mechanism to identify and prioritize high-potential MSMEs aligned with its strategic goals. Its internal data systems were insufficient for segmenting businesses based on trade activity, sector, and region, limiting the effectiveness of its sales and marketing outreach.
The Indian MSME landscape is vast, fragmented, and dynamic, making it difficult to access reliable and up-to-date information on businesses engaged in international trade. The absence of a centralized, verified database of import-export MSMEs further complicated targeted engagement efforts.
Dun & Bradstreet (D&B) supported the bank by leveraging its Data Cloud to identify and prioritize 50,000 MSMEs involved in import and export. By filtering businesses based on sector, region, and size, and providing verified contact information, D&B enabled the bank’s sales team to efficiently target high-potential prospects, especially in Gujarat and Maharashtra.
Product
Sales & Marketing Solutions,Analytics
Industry
BFSI
Function
Intelligent Prospecting