Data-driven marketing strategies for credit unions: Boosting sales and productivity through segmentation

Credit unions are recognized for their community-centric approach and personal touch in handling members’ financial needs. However, the financial landscape is evolving fast, and to ensure continued growth, credit unions must evolve too. The key to this evolution lies in harnessing the power of member data and segmentation to build relationships.

In the Harvard Business Review article titled “3 Strategies to Boost Sales and Marketing Productivity,” researchers highlighted the importance of refining the go-to-market model through effective customer segmentation [1]. Let’s explore how these insights can be beneficial to credit unions.

Understanding your members through data

Credit unions have an abundance of data about their members. This data, if correctly analyzed, can offer profound insights into the behaviors, preferences, and needs of your members. However, traditional reliance on historical sales data or outdated models may not always paint the most accurate relationship picture.

Instead, credit unions can focus on members’ potential future spending to drive their marketing and sales activities. This shift in perspective, driven by data analysis, can significantly improve sales productivity and help credit unions tailor their services more effectively to improve member experiences.

Leveraging segmentation for personalized experiences

Once credit unions understand their members’ data, the next step is enhancing it into richer insights from segmentation. Segmentation involves grouping your members based on various enhanced data like demographics, psychographics, behavioral tendencies, transactions and spending patterns. This allows for tailored solutions, more relevant marketing messages, and personalized engagement strategies, which can drive member loyalty and improve the overall member experience.

Refining your go-to-market strategy involves continually reassessing your member segmentation and aligning your resources for the most lucrative returns. The HBR article suggests strategies such as creating suitable territories for each seller, aligning customer segmentation, and moving towards more profitable routes to the market like digital marketing, and e-commerce [1].

Consistent evaluation and improvement

The secret to successful segmentation and data-driven strategies lies in their consistent evaluation and improvement. The Harvard Business Review study emphasizes the importance of a repeatable approach to ensure sustained marketing productivity gains [1]. Thus, assigning clear ownership of productivity to oversee the implementation of data-driven marketing strategies is vital.

Consider creating a dedicated team responsible for analyzing sales, relationships, transactional and marketing data, driving steady improvements to the segmentation process, and continuously refining your go-to-market strategy and execution. This can help ensure the consistent and successful implementation of your segmentation and data insights into building smarter member journeys, testing and tracking results to learn and improve.

Data-driven segmentation is not just a path to relationship growth; it’s a roadmap to increased performance and resilience, especially in challenging economic times. By balancing new member acquisition and existing member engagement using targeting and cost-saving measures, credit unions can not only survive during difficult times but thrive, outperforming competitors [1]. As credit union marketers, let’s embrace these data-driven strategies to foster relationship growth and a culture of productivity to sustained growth in our industry.

 

[1] Lee, J., Schottland, D., Henle, P., & Hjortegaard, J. (2023). 3 Strategies to Boost Sales and Marketing Productivity. Harvard Business Review.

Strum Platform™ is a next-generation financial Customer Data Platform that builds rich consumer insights to enhance experiences, spark engagement and enrich people’s lives. We help financial leaders deepen relationship journeys with cloud business intelligence, hyper-personalized targeting and marketing automation that speeds onboarding relationship profitability, and automates marketing ROI, sales tracking dashboards and performance.

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Ben Stangland

Ben Stangland

Ben Stangland is a skilled senior data analyst and strategist who leads our Boston data analytics and business intelligence practice. Ben blends complex financial databases into customized decision-making tools and ... Details