Details
14 March 2024
Højbro Plads 10
Copenhagen
Denmark
16:00-21:30
Core Themes:
The proliferation of cloud infrastructure has powered marketing technology. The effectiveness of this technology is driven by data, how it is collected, managed and how it is activated throughout the technology stack.
The second Martech Jam Session will host panel sessions and break out peer groups covering these hot topics.
- Artificial Intelligence and Brands: AI has the potenial to transform marketing and analytics with richer consumer insights through advanced data analysis, predictive modeling, and personalized recommendation systems. Some of the key challenges are:
- Ethical concerns regarding privacy and the responsibility of storing customer data
- Intergrating AI into existing tools / tools developing their own AI functionality
- Customer Data Platform Strategy: ‘To CDP or Not CDP, that is the question’. With ongoing regulatory changes with data privacy and a consumer shift towards protecting their personal data, a solid data strategy is critical for organisations behind all brands.
- Is the current CDP methodology outdated and are there new ‘best practices’ in building best of breed CDP?
- What are the key benefits that a CDP delivers to a brand and its customers.
- How can a CDP streamline an organisations costs in forecasting, inventory management, distribution and profit margins?
- The Future of eCommerce Technology: Heavily dependent on data, eCommerce Tech is the frontline the online customer experience.
- What are some of the critical foundations in data strategy for eCommerce?
- How can technology empower global online business?
- What are the latest technology features brands and organisations should be planning for?
- Technology and the Brand Experience: Technology is changing the way brands connect with a greater audience.
- How can technology support a great brand experience?
- Technology and Customer Lifetime Value – measuring, managing & growing.
- Streamlining the customer journey with technology – Conversion optimisation, Personalisation and the importance of experimentation