CRM Marketing Strategies for Understanding Customer Context: Beyond Automation
In today’s CRM marketing landscape, automation has become essential. However, many marketers still question whether automation alone is truly enhancing the customer experience. While traditional CRM solutions help reduce repetitive tasks, they often fall short of delivering optimized customer interactions tailored to individual contexts.
This session will explore the current state, significance, and limitations of CRM automation, as well as how AI-driven optimization is reshaping the industry. Through real-world brand case studies, we’ll examine how AI enables personalized customer experiences and goes beyond automation to achieve true marketing efficiency.
Key Discussion Points
1. Current State of CRM Marketing Automation
How automation reduces repetitive CRM tasks
The challenges marketers still face despite automation
2. The Role and Limitations of Automation
Why automation is essential in data-driven marketing
The difference between standardized automation vs. customer-centric optimization
3. What Does Optimization in CRM Marketing Look Like? (feat. AI)
The power of AI-driven CRM: optimizing the customer journey
The business impact of AI-powered CRM optimization
4. Case Studies: From ‘Automation’ to ‘Optimization’
How AI creates hyper-personalized customer experiences
Real-world examples of brands leveraging AI for CRM transformation
About Jenny Ku | Director, Blux
Jenny Ku is a seasoned expert in CRM and AI-driven marketing solutions, with extensive experience in the field.
As a co-founder of BLOCS and Product Owner (PO) for CRM solutions, he leads the development of innovative tools that empower marketers to design and execute hyper-personalized campaigns effortlessly.
With a focus on maximizing the potential of AI and data-driven marketing, he plays a key role in shaping the company’s strategic direction—not only in the Korean market but also for its global expansion.