Summit agenda is subject to change.
– What is the purpose of MarTech in your organisation?
– An “ah-ha” moment or one remarkable lesson learnt in your MarTech journey
– From AI implementation to fostering thriving communities, we will provide you with data-based insights about why these trends matter (now and in the future).
– Inspiring stories of successful campaigns from brands already engaging with the trends.
– Actionable tips to level up your strategies today.
– What are the steps of an effective MarTech adoption in your organisation?
– Practical examples of MarTech adoption that navigated challenges successfully.
– How to drive conversions from messages, emails, call conversations effectively?
– How to scale personalised experience to engage with customers in various stages of engagement?
– Opportunities amid the changing ad privacy landscape.
– Discover the solutions and strategies to connect with customers, measure results, and boost ROI while prioritising user privacy.
– Roadmap to success in the new era of marketing.
– How is marketing transforming in your industries? Is it organic transformation or planned or both? Can technology be an enabler of this transformation?
– What challenges do you face with showing how impactful your marketing spend and activities are?
– What are key concerns from leaders when it comes to investing in AI?
– Types: Predictive analytics forecasts based on data; generative analytics creates new content from learned patterns.
– Opportunities: Predictive analytics aids decision-making; generative AI sparks innovation in content and research.
– Challenges: Ethical concerns, security risks, and human-AI collaboration are critical considerations for AI governance.
– What is the biggest challenge Marketing Ops in Asia pacific as a region?
– The most recent challenge you experienced from your global team.
– How do you make local and region priorities/requirements a priority for global teams?
– The future of digital experiences and their impact on business growth.
– The use of technology, such as AI and machine learning, to enhance digital experiences.
– The importance of data-driven insights in driving sales conversions.
– What does work management mean to your organisation and how critical is this in helping your marketing teams optimise collaboration, and deliver results-driven strategies?
– How does the integration of work management tools enhance the agility of marketing teams in responding to ever-changing market dynamics and business needs?
– Could you share your experience on how utilising a work management platform has enabled your team to leverage real-time data and insights for decision-making? How has that translated into refining campaigns and boosting performance?
– How do you see work management for marketeers changing with the introduction of AI, and its eventual shift from a nice-to-have to a necessity?
– Leveraging digital experience as a catalyst for trust and loyalty
– Implementing ethical AI/ML models to deepen customer engagement
– Aligning marketing strategies with evolving consumer expectations
– How to define success in full-funnel marketing & ROI in your organisation? What is your philosophy on KPI/OKRs for holistic full-funnel ROI?
– What are your tactics / strategies to set-up the measurement & metrics?
– What is your best case study? Advices on how to get it started.
– Dive into the critical role of attention in today’s digital media landscape, a topic captivating marketers and experts worldwide.
– Explore the multifaceted challenge of understanding and optimising attention, acknowledging diverse perspectives within the industry.
– Discover actionable strategies empowering marketers to enhance campaign effectiveness and effectively capture consumer attention.
– How has the role of digital content evolved in your overall brand strategy?
– What trends do you see emerging in the last couple of years?
– Let’s get to the buzzword of today – How is AI featuring in these conversations and what role do you see for it going forward?
– As these different needs emerge, how do you see business needs, technology and creativity converging (or clashing for that matter)?
– What is that ONE emerging technology or trend you believe will play a significant role in enhancing omnichannel personalisation and customer engagement?
– How can brands go beyond basic customer segmentation to understand and predict customer preferences and behaviour?
– What are the data analytic tools that you would often rely on to help you with making key decisions for omnichannel customer engagement?
– Revenue enablement journey: what are your key pain points?
– Change management: the lessons you’ve learned as you drive organisational adoption of sales/revenue enablement.
– Lead management & maximisation of customer values: measuring performance for your lead generation campaign
– Provide customers instant gratification with digital rewards.
– Streamline rewards procurement processes with digital alternatives.
– How we manage the shared goals / targets / KPIs between sales & marketing.
– Practical examples on effective sales & marketing collaboration, e.g. MarTech adoption between teams, sales enablement programmes.
– The role of CDP in data democratisation.
– How CDP influences the culture of customer centricity.
– How to strengthen relationships by getting it right in the eyes of customers - via delivery of the right content, at the right time and on the right channel.
– How to harness the power of AI, to deliver personalised and contextualised campaign assets at scale, across all consumer touchpoints.
– How have you managed trade channel conflict whilst maximising the benefits of all platforms for both your acquisition and retention strategies?
– What has been your approach to achieve maximise CVR but balance profitability? Any “best practices” you have adopted?
– The biggest “shift” in consumer behaviour that your team has seen, how did you adapt to it? What were the biggest learnings?
– How has this integrated CRM changed the way you engage with customers in terms of leveraging buyer insights to guide sales strategies and tactics?
– With all the advances in CRM automation, how do you ensure that you do not lose the personal touch in dealing with customers?
– Best practices for leveraging MarTech / automation in streamlining CRM processes.
– Findings of Ipsos recent research among CX professionals from over 65 markets around world (including Asia Pacific).
– The state of of play, what’s changed, levels of CX maturity, leading CX challenges and the top priorities for CX practitioners.
– The changes in B2B buyers change how B2B marketing making efforts.
– Understand marketing leader’s insights challenges.
– Marketing leaders in APAC must identify and advocate for the right marketing performance metrics that reflects its overall business impact.
– How can data-driven insights help businesses make better decisions and improve their ROI?
– What role do emerging technologies like AI and machine learning play in generating insights and improving ROI?
– What are some of the key metrics you use to measure the ROI of insights?
– How do you use insights to identify new growth opportunities and expand your customer base?
– What values business excellence is bringing to marketing and sales teams in your organisation?
– Challenges while adopting Sales Excellence approaches by the sales teams.
– What are the success factors do you trigger to improve the digital tools usage?
– How do you turn an unknown customer to a brand advocate?
– What role does technology play in driving loyal customers?
– What is overvalued/overused that actually don’t move the needle?
– How can B2B brands effectively tailor their messaging to resonate with diverse audience segments within the buyer’s journey, and across different channels?
– What metrics or KPIs should B2B marketers prioritise to measure the effectiveness of branding efforts across channels?
– How to leverage a particular channel to drive demand through effective messaging?
– How we use Customer Data Platforms for tailored campaigns across channels.
– How we combine data sources to forecast customer behaviour.
– How to protect customer privacy by following data regulations and anonymising data?
– Data, demand generation & full-funnel marketing.
– How to use data analysis on 1st party data?
– How to manage revenue impact?
– What type of predictive models help you predict customer behaviour?
– How did you overcome the challenges and pain-points you faced whilst trying to drive analytics within your organisation?
– If there is one thing you liked to predict about customer the customer, what would that be and why?
– Is Content still the King in today’s context?
– How to use AI and its impact in your marketing tools?
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