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CMO Innovation Summit 2020 HK has ended
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CASE STUDY A: REVENUE OPTIMIZATION
CASE STUDY B: BUSINESS SURVIVAL STRATEGY
CASE STUDY C: STRATEGIC COLLABORATION
CASE STUDY D: GAUGING THE BUYING POWER THROUGH APT DATA ANALYTICS
PANEL DISCUSSION
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Popular Events
#1
Registration and Welcome Coffee
#2
Morning Conference Chair’s Opening Remarks | Ice Breaking Session
#3
Driving the CX Agenda: Accelerating CX Integration through Martech
#4
CASE STUDY A: REVENUE OPTIMIZATION | Re-adjusting your Marketing Strategy to Optimize New Revenue Generation During Critical Times
#5
CASE STUDY B: BUSINESS SURVIVAL STRATEGY | Engaging the E-commerce Clientele in an Increasingly Mixed Environment: Strategic Positioning and Rebranding in Retail
#6
Networking Coffee Break
#7
Bridging the Digital and Physical World: Developing a Strategic Roadmap for Digital Commerce During Physically Distanced Retailing
#8
Leveraging on AI and Data-Driven Marketing: Organizing and Sharing Data for Better CX
#9
Networking Lunch Break
#10
Winning Strategies in Account Based Marketing and CRM: Moving towards Generating a Higher Return on Investment (ROI)
#11
Changing Times: Building Loyal and Rewarding Relationships through Effective Storytelling and Innovative Content Marketing
#12
CASE STUDY C: STRATEGIC COLLABORATION | Staying Connected During Critical Times: How to Forge Internal and External Partnerships Aligned towards Marketing Objectives?
#13
Implementing Data Analytical Techniques in Achieving Collaborative Product Development
#14
Networking Tea Break
#15
Decoding the CX Ecosystem: Technology, Resources and Tools for Marketing Transformation
#16
CASE STUDY D: GAUGING THE BUYING POWER THROUGH APT DATA ANALYTICS | Weathering the Storm: Minimizing the Impact on Purchase Decisions from Competing Channels
#17
Fast Tracking the New CMO: Trends in Building Swift Connections with Consumers
#18
Chairman’s Closing Remarks & End of Conference
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CASE STUDY A: REVENUE OPTIMIZATION
CASE STUDY B: BUSINESS SURVIVAL STRATEGY
CASE STUDY C: STRATEGIC COLLABORATION
CASE STUDY D: GAUGING THE BUYING POWER THROUGH APT DATA ANALYTICS
PANEL DISCUSSION
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Thursday, Jun 4