– What is the role of a CDP in unifying fragmented customer data into a cohesive profile?
– How can a robust CDP support the entire marketing lifecycle, from acquisition to loyalty?
– What are the measurable benefits of CDP implementation – for driving engagement and personalisation?
– What is the difference between a CDP and a data warehouse that contains information about all the members?
– What is an example of a business/setting that would benefit from creating 360 view of customer in the first place?

– How can social listening reveal real-time insights into customer sentiment, preferences, and emerging trends?
– What are the best practices for leveraging social media monitoring to build stronger brand connections and respond proactively?
– Which brands have successfully used social insights to shape their customer engagement strategies?”

– Why is first-party data now the key to building stronger customer relationships in a privacy-first world?
– What innovative ways can companies leverage first-party data for personalised marketing?
– How can brands maximise ROI through intelligent, data-driven decision-making?

– How can predictive analytics help businesses foresee customer needs and trends?
– What are the best strategies for turning predictive insights into actionable decisions?
– How can predictive models be continuously refined for improving engagement and retention?
– How can we calculate back the predicted engagement trends into estimated monthly ROI (SGD)?

– How can identity resolution help organisations create a unified customer profile that supports personalised and consistent customer experiences across multiple channels?
– What are the key challenges in implementing identity resolution, and how can businesses overcome data fragmentation and privacy concerns while building accurate customer profiles?
– How does identity resolution contribute to improving customer lifetime value (CLV) by enabling more targeted marketing efforts and personalised customer engagement strategies?

– How can businesses balance cutting-edge AI tools with responsible, privacy-centric practices?
– What are the best strategies for complying with global data privacy regulations without sacrificing personalisation?
– How does ethical AI drive long-term customer trust and loyalty?

– How is AI reshaping the way we gather and act on customer data?
– What cutting-edge AI tools are enabling real-time, hyper-personalised experiences?
– How can businesses build competitive advantage by mastering AI-driven customer insights?

– What are the best practices for mapping the ideal customer journey across channels?
– How can real-time data enable immediate, impactful customer engagement?
– How does real-time decisioning create adaptive and personalized customer journeys?

– How can customer intelligence be leveraged to refine commercial strategies and ensure a more personalised and effective customer engagement approach?
– In what ways can organizations utilize customer data to identify emerging market trends and anticipate shifts in consumer behaviour that drive commercial growth?
– How can integrating customer insights into the commercial process help businesses increase customer lifetime value (CLV) while maintaining agility in fast-evolving markets?

– What are the new KPIs for evaluating the success of customer intelligence strategies?
– How can businesses effectively measure the impact of customer intelligence on engagement and revenue?
– What frameworks can be used to ensure continuous improvement and value generation from customer data?
– What would be an example of a well-designed AB testing experiment?

– The Rise of Generative AI for Personalisation
– Zero-Party Data and the Shift to Privacy-First Engagement
– Preparing for a Cookieless Future in CI