A recent study by PYMNTS Intelligence, in collaboration with Visa DPS, underscores a troubling trend among card issuers: despite significant investments in technology, only 17% manage to generate high customer lifetime value (CLTV), down from 21% the previous year. This decline raises questions about the effectiveness of modern digital enhancements, such as instant issuance and AI-driven personalization, which have become widely accessible across the industry. The research, which surveyed nearly 1,000 issuers in the United States, suggests that merely adopting new technologies is insufficient; issuers must also address the underlying customer engagement strategies that drive meaningful relationships.
The study highlights a critical sequencing issue in how issuers deploy their resources. Many issuers tend to prioritize advanced features like personalized offers and rewards before establishing foundational elements such as trust and habitual use. This misalignment results in a disconnect between sophisticated technologies and the actual customer experience, leading to shallow relationships that fail to capitalize on the potential of enhanced digital capabilities. For issuers, the path to improved CLTV lies in strategically addressing customer friction points in the correct order, starting with seamless card activation and progressing through trust-building measures before attempting to deepen customer relationships with advanced offerings.
Moreover, the role of artificial intelligence in this context is often misunderstood. While AI is seen as a tool for enhancing customer segmentation and retention, its true value emerges when it addresses operational bottlenecks that hinder customer interactions. By automating processes such as identity verification and compliance checks, issuers can free up resources to focus on engagement strategies that foster deeper customer connections. This perspective shifts the narrative from viewing AI as a standalone feature to recognizing it as a crucial operational layer that supports the overall customer relationship framework.
Ultimately, the findings call for a reevaluation of investment strategies among issuers. Instead of simply chasing the latest technological trends, executives should focus on understanding and addressing the specific customer behaviors that need to change. This approach not only enhances the effectiveness of technology deployments but also positions issuers to build stronger, more profitable customer relationships over time.
The study highlights a critical sequencing issue in how issuers deploy their resources. Many issuers tend to prioritize advanced features like personalized offers and rewards before establishing foundational elements such as trust and habitual use. This misalignment results in a disconnect between sophisticated technologies and the actual customer experience, leading to shallow relationships that fail to capitalize on the potential of enhanced digital capabilities. For issuers, the path to improved CLTV lies in strategically addressing customer friction points in the correct order, starting with seamless card activation and progressing through trust-building measures before attempting to deepen customer relationships with advanced offerings.
Moreover, the role of artificial intelligence in this context is often misunderstood. While AI is seen as a tool for enhancing customer segmentation and retention, its true value emerges when it addresses operational bottlenecks that hinder customer interactions. By automating processes such as identity verification and compliance checks, issuers can free up resources to focus on engagement strategies that foster deeper customer connections. This perspective shifts the narrative from viewing AI as a standalone feature to recognizing it as a crucial operational layer that supports the overall customer relationship framework.
Ultimately, the findings call for a reevaluation of investment strategies among issuers. Instead of simply chasing the latest technological trends, executives should focus on understanding and addressing the specific customer behaviors that need to change. This approach not only enhances the effectiveness of technology deployments but also positions issuers to build stronger, more profitable customer relationships over time.
Source: PYMNTS
