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Industry speakers
Marketing & Tech Leaders
Key Themes
Hours of Networking

Forward Marketing Summit is Australia's leading conference where marketing, data and technology converge! Formerly known as Big Data & AI Leaders Summit and Digital Marketing Leaders Summit, this summit will bring together over 300 digital marketers, data scientists, analysts, developers and product leaders. Together, they will share best practices of how to leverage data to supercharge the marketing function, build a scalable data infrastructure, optimise marketing tech stack and much more!

Topics to be covered:

Omnichannel, eCommerce, and mobile commerce Brand marketing  Data science in marketing Marketing management strategy 
B2B marketing Content marketing Marketing technology CMO leadership


See the full speaker line-up


We conduct in-depth market research and deliberately develop the agenda with leaders and experts who are at the forefront of marketing trends and technology to ensure that the event answers your true needs and interests. There are keynotes, thematic tracks, panel discussions, deep-dive sessions, networking lunches and drinks designed to maximise your experience.

Check the full agenda below.

  • 08:30 – 09:30

    Registration & breakfast

  • Leadership and strategy

    09:00 – 09:20

    • An overview of the Australian market, where are we now and what are we looking out for?

    • Data science enabling marketers to understand their customers better

    • What’s next for Australia?

  • Leadership and strategy

    09:20 – 09:40

    • Applying a large amount of data for intelligence marketing

    • Ensuring unbiased data analytics to drive better results

    • Practising comprehensive customer analysis

  • 09:30 – 09:40

    Chairperson opening remarks

  • Leadership and strategy

    09:40 – 10:10

    • Understanding your organisation’s level of digitalisation

    • Providing an on-going customer experience across multiple channels

    • Strategic marketing innovation to align with your products

  • 10:10 – 10:30

    • We welcome all delegates in the room to join the real-time voting session

    • What are you expecting to learn?

  • 10:30 – 11:00

    AM networking coffee break

  • Leadership and strategy

    11:00 – 11:30

    • Build a solid foundation for Martech implementation

    • Identify the key focus for tech integration and testing with various tools

    • Using first and second-party data rationally - understanding the obstacles

  • Leadership and strategy

    11:30 – 12:30

    • The evolving role of CMO

    • Creating a culture that values data analytics and data sciences

    • Finding the right team to manage the technology

    • Understanding data privacy and management transparency

  • 12:30 – 13:30

    Networking lunch break

  • Data science for marketing

    13:30 – 14:00

    • Applying GDPR compliance pros and cons

    • Clear data management structure within the organisation

    • Data accuracy leading to true insights and a better understanding of your customers

    Marketing technology

    13:30 – 14:00

    • Align technology and trends with organisation’s products/ services

    • Combining creativity and AI to deliver relevant experiences/ personalisation

    • Integrating Martech and ad tech stack to create a seamless, multi-layered conversation with customers

    Brand marketing

    13:30 – 14:00

    • Focus on the customer purchase journey

    • Build customer journey roadmap

    • Value user-generated content

    • Ensure all content communicates with your brand core-values

    • Prioritising employee well-being to drive CX & business performance

  • Data science for marketing

    14:00 – 14:30

    • Managing data warehouse, consolidating data into one place

    • Data cloud sharing

    • Evaluating the marketing and business potential

    • Formulate an implementation approach with specific activities and initiatives

    Marketing technology

    14:00 – 14:30

    • Proving marketing ROI by implementing Martech and enhance customer experience with the brand

    • Integrating Martech and ad tech stack to create a seamless, multi-layered conversation with customers

    • Understand the benefits and challenges of CRM

    Brand marketing

    14:00 – 14:30

    • Focusing on brand reputation, brand awareness & trust

    • Innovation & differentiation

    • Compliment both online and offline experience

    • Offering emotional value, spreading brand awareness through hashtags and UGC.

  • Data science for marketing

    15:00 – 15:30

    • Applied machine learning algorithm to makes sense of data, and receive real insights from analytics in real-time

    • Build solutions for data bias

    • Team building and data innovation

    Marketing technology

    15:00 – 15:30

    • Understanding the difference between integration tools vs Martech stack tools

    • Using a consistent method to collect data to ensure it is valuable and reliable

    • Analysing data trends and behaviour for segmentation and targeting

    Brand marketing

    15:00 – 15:30

    • Implementing localisation marketing strategy from website, social media and products/services

    • Maintain brand persona and value

    • Understanding and adapting to local behaviour

  • 15:00 – 15:30

    PM networking coffee break

  • Data science for marketing

    15:30 – 16:00

    • Using machine learning for marketing personalisation

    • Building an AI algorithm to suit your products and set personalised campaigns

    • Predictive analytics

    Marketing technology

    15:30 – 16:00

    • Understanding the advantages and disadvantages of Martech

    • Marketing automation technology improve sales revenue

    • Effective segmented marketing campaigns and scoring for sales

    Brand marketing

    15:30 – 16:00

    • Video marketing does matter, creative and innovative social content

    • Build trust with viewers and understand true customers

    • Live streaming on social media and user-generated content are important social media tactics for lead gen and eCommerce stores

  • Data science for marketing

    16:00 – 17:00

    • Understanding data-driven marketing approach

    • Personalised marketing campaign through a deeper understanding of true customer profile

    • Creating a customer experience across multiple channels, ensure marketing messages are consistent

    Marketing technology

    16:00 – 17:00

    • Understand the power of AI and ML to accelerate digital transformation and marketing initiatives

    • Bridging the gap between data, tech and marketing outcomes

    • Learn why Martech adoption usually falls short

    • Learn when to implement it and what outcomes to expect

    Brand marketing

    16:00 – 17:00

    • Building your brand purpose, innovating your brand to stay relevant

    • Rising to consumer expectations

    • Brand responsibility, ethical, sustainability, ethos

    • Connecting with your customers on an emotional level

    • Maintaining authenticity and integrity whilst adapting to consumer needs

  • 17:10 – 18:40

    Networking Drinks

  • 08:30 – 08:50

    Registration & breakfast

  • 08:50 – 09:00

    Chairperson opening remarks

  • 09:00 – 09:30

    • A look into the ecommerce trends over the last few years

    • Game changers within the online retail industry

    • Considering the impact of technology, sustainability, ethical practices, prioristing mobile

  • 09:30 – 10:00

    • Understand what to do with your customer data to secure growth and loyalty

    • Merging online and offline data for targeting and personalisation

    • Incorporating offline data for marketing campaigns for dynamic content and higher ROI

  • 10:00 – 10:30

    • Incorporating mobile characteristics to e-commerce strategy for enhanced digital commerce (apps, QR codes, mobile wallets, one click payments )

    • Keeping up with mobile-first consumers

    • Owning the mobile customer journey

  • 10:30 – 11:00

    AM networking coffee break

  • 11:00 – 11:30

    • Key strategies for achieving global expansion, accelerated cross-border growth and higher customer satisfaction

    • Entering a new market and making a good impression

    • Considering characteristics of foreign markets, cultural sensitivities and consumer behaviour

    • Good vs bad localisation case studies

  • 11:30 – 12:30

    • Understand what it means to synchronise online and offline platforms to create a seamless omnichannel experience

    • Implementing an omnichannel strategy - challenges, opportunities, what to consider

    • Reshaping the benefits of an increasingly blurry online and offline world

    • Unlocking business growth and customer satisfaction with a seamless and complementary O2O experience

  • 12:30 – 13:30

    Networking lunch break

  • Data science for marketing

    13:30 – 14:00

    • Data cleaning

    • Identifying and defining the data that exists in your organisation

    • Interpreting data correctly

    • Building a data foundation for your organisation to support future changes

    • Utilising technology to unify and clean unlabelled data

    B2B marketing

    13:30 – 14:00

    • Learn how to align common goals of sales and marketing for better customer engagement

    • Sharing objectives and KPI’s of revenue and pipeline

    • Communication between departments

    Marketing technology

    13:30 – 14:00

    • Embrace artificial intelligence user interface technologies

    • Human-centred data analytics

    • Combining products with user interface for better consumer experience and engagement

  • Data science for marketing

    14:00 – 14:30

    • Using NLP to convert unstructured data into structured data

    • NLP as a key component in digital marketing platforms (offering capabilities such as personalised email, recommendation and mobile apps)

    • Harnessing advances of NLP to manage information overload, analyse data pools on social media and sentiment analytics

    B2B marketing

    14:00 – 14:30

    • The importance of post-sale engagement

    • Learn key retention tactics

    • Collaborating with external and internal partners post-sale

    • Nurturing existing customers

    • Identifying challenges

    Marketing technology

    14:00 – 14:30

    • Learn which data to use and how to leverage it for segmentation, customer acquisition and retention

    • Investing in staff training

    • Making CRM the foundation of your customer engagement strategy

    • CRM for lead generation

  • 14:30 – 15:00

    PM networking coffee break

  • Data science for marketing

    15:00 – 15:30

    • Setting the foundations for predictive analytics (data architecture/data management, skilled team)

    • Understand the benefits of predictive analytics as a vital component of your marketing/ CX strategy

    • Exploiting your data for enhanced customer centricity, personalisation and segmentation

    B2B marketing

    15:00 – 15:30

    • Tackle common obstacles facing b2b e-commerce businesses operating on a global scale

    • Building your website to serve global consumers

    • Localising your marketing strategy to adapt to cultural differences

    • Navigate the challenges of search engines around the world

    • Minimising channel conflict whilst selling across various touchpoints

    Marketing technology

    15:00 – 15:30

    • Creating a unified view of your customers to enable personalisation goals

    • First hand access to customer data

    • Comprehensive customer profiles to enable accurate modelling

    • Help aggregating and cleaning endless silos of data

  • Data science for marketing

    15:30 – 16:00

    • Explore different privacy models that businesses are deploying

    • Tackling poor data reliability and inability to address new regulations

    • Establishing a solid foundation for data analytics governance and preparing for future direction of governance with technology challenges

    B2B marketing

    15:30 – 16:00

    • Ensuring consistent brand experience across all channels to maximise customer satisfaction

    • Using new technologies to achieve deeper levels of customer intimacy

    • Investing in cleaning/improving quality of customer data to be able to understand them

    Marketing technology

    15:30 – 16:00

    • Utilising AI and data analysis for customer segmentation and hyper- personalisation at scale

    • Using AI solutions to increase customer satisfaction (self service/chatbots/virtual assistants)

    • Examples of applied AI algorithms that have delivered value in a marketing context

  • Data science for marketing

    16:00 – 17:00

    • Understand the concept of augmented analytics and how it will impact your business

    • Preparing for the integration of ML, NLP and AI techniques to enhance data analytics, data sharing and business intelligence

    B2B marketing

    16:00 – 17:00

    • Re-purposing content for the digital age

    • Leverage influencers to promote your brand

    • Think P2P (person to person) bring the human touch to your branding strategy

    • Growing your credibility and visibility on social media

    • Becoming socially engaged with causes that reflect your brand value

    • Competing with global giants

    Marketing technology

    16:00 – 17:00

    • Listen to how stakeholders view AI advancement opportunities in the ANZ market

    • Learn what should inform your own AI approach - are you ready to lay the foundations for successful AI adoption?

    • Strategies to apply to make AI part of the business DNA

    • The future and ethics of AI

  • 17:00 – 17:10

    End of summit

Don't just take our word for it

  • I enjoyed the Summit. Speakers were fantastic - knowledgeable, engaging, from a diverse range of industries, and nice mix of B2C + B2B which is rare. Many thanks for having me along for the two days definitely on my radar for next year

    ­Deanie Sultana, Nielson, Singapore

  • It’s really impressive the diversity of speakers that have been brought up here today and the content they’re presenting. You have a really engaged audience which is nice - the questions are thoughtful and interesting and we’re learning a lot.

    Alex Silberman, Monster, Boston

  • It was super fascinating, it’s really interesting to hear from so many different industries which is not very common.  These are all very very different businesses but seeing where we overlap and where we can learn from each other I think is spectacular.

    Brian Moroz, Google, Boston

  • The speaker lineup was excellent - there were a lot of people from a lot of diverse backgrounds.  There’s lots of great questions and friendly people, interesting talks on both very practical products and more forward-looking topics

    Jerry Talton, Slack, Boston

  • One of the best things about this conference is that I am able to meet a lot of people who actually share the same challenges as I have. If you’re sitting in the office, you think about your own problem in your own box. By coming out here, you find solutions by talking to other people who are going through the same journey as you do.

    Doran Bae, TVB, Hong Kong


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The Venue

One of Sydney's most exclusive conference and events venues, InterContinental Sydney Double Bay in the Eastern Suburbs village of Double Bay offers more than a dozen stylish spaces, the latest audiovisual equipment, delicious cuisine and personalised five-star service, all just minutes from the CBD. We are honoured and proud to work with InterContinental Sydney Double Bay to deliver the memorable Forward Summit tailored to your individual and professional needs and requirements.

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