Registration & Breakfast
Chair's opening remarks
Insights Infused Content Creation at Condé Nast
Stephanie will share how she and her team drive content strategy through 360 insights- exploring white space opportunities/gaps, assessing trends and staying power, ensuring fit with brand and editorial vision, building a successful multi-platform approach and monetizing effectively. From start to finish insights are woven into the content development process, yielding multiple successful brand and category extensions that have continued to fuel growth for Conde Nast.
Getting results: the moneyball approach to marketing
There is no shortage of data in marketing, or baseball, but the real question is how to use them to drive efficiency. This means challenging received wisdom and applying an unwavering objective mindset. In this session we’ll discuss the metrics that matter, the right ways to analyse, and how to implement findings.
The 6 Analytics Success Factors: How to Improve Analytics ROI by 10x
Only 18% of business leaders across industries said their organizations are getting a sufficient return on their investment, according to research by Harvard Business Review Analytic Services. The team at Concentric has worked with numerous Fortune 500 companies, such as Scripps, Toyota and Whirlpool to advance their analytics through accelerated forecasting and simulation. In this session, Dejan Duzevik, Chief Product Officer at Concentric, will share the 6 analytics success factors every company needs in order to achieve ROI, collaboration and scalable analytics.
Networking coffee break
Curated Content Marketing: Data-driven impact efficiently
Flipboard is the world’s largest curation platform. David will share how curated content marketing – driven by data and insights - creates engaging environments for users - and efficient impact for advertisers – all with third-party content.
Data-Driven Product Management: How to Build a Winning Customer Experience in the Amazon Era
In today’s retail environment, two-day shipping, single-click ordering, and easy returns have become table stakes. To stay competitive in the Amazon-era, a company must adapt to meet and exceed expectations for an immediate, seamless, and end-to-end customer experience. In this discussion, learn from Rebecca Greene, Handy’s Chief Product Officer on how your company can meet growing customer expectations through data-driven product management. Rebecca will share some of the design decisions and customer considerations that go into building a successful product in today’s business environment.
Key takeaways include:
• Insight into evolving consumer habits to guide implementation of competitive service provider and retail models.
• How small data approaches like A/B testing and user research can have an outsized impact on the user experience even though companies often choose to focus on ML and Big Data.
• How to design the most informative user testing and user research to make product and design choices for a seamless customer experience.
• How the use of customer support and service delivery in the post-purchase experience can drive massive improvements to customer experience and business outcomes.
Inside. Outside. Tops-Down. Bottoms-Up. Crafting marketing analytics for the ever- changing world of television
TV is no longer TV. As how consumers view TV content continues to proliferate, the ABC television network has had to dramatically adjust its marketing analytics to keep up with these changes. This includes developing multiple analytic systems to answer a wide-ranging set of business questions, such as: How are we leveraging the multiple analytical techniques to make actionable business decisions? Can these different approaches work together? When should you use one source of insight vs. the other? How can we leverage productive conflict to drive a better overall approach? As we dig deep into how ABC is tackling the ever-evolving landscape, the session will address these questions while highlighting the revolution happening right now in broadcast TV.
Fireside Chat: People-based marketing - the fan journey from digital to physical
The live experience is not just a singular moment in time. Fans are discovering, planning, reliving and sharing…and throughout this journey there are opportunities for brands to connect with consumers. Live Nation is uniquely positioned to lead in this space with access to actionable data insights to help brands understand their consumers better, communicate the right message and elevate the experience.
Lightning Introduction to Deep Learning
Deep Learning is the fastest growing area in Machine Learning. In the presentation we will cover the following questions: What is Deep Learning? Why is it important? How does it work in comparison to other ML techniques? We will conclude by building a simple Deep Learning model in marketing.
Applying advanced analytics & data visualization to personalize the consumer experience
In this presentation we will go through the steps an organization needs to take to obtain insights on customer for better decision making.
The primary goal for building a Data strategy is to have the ability to make better decisions. There are some key ingredients that are required to build a sustainable customer insight strategy. There needs to be buy in from senior management, the right technology and focus from business teams. In this era of cheap data storage, there is a huge amount of data that is being captured and stored. The key for the businesses is to prioritize the key domains and then to use the right models/ algorithms to get the results. It is in the data mining and ultimately the visualization that these results turn into insights.
Networking Coffee Break
Personalized recommendations for food, recipes, and groceries
Plated face a unique problem of assigning weekly recommendations of novel food recipes to both new and old customers. In this talk, Andrew Marchese will discuss how they derive features from extremely content-rich recipes, and how these features are used to drive personalized recommendations that learn customer affinity towards certain feature sets. Additionally, learn how this process is scaled in order to recommend the recipes to a (much) larger set of grocery store customers, and how it can be extended to recommend any grocery product.
Roundtable Discussions: AI & Big Data Strategies
Chair's closing remarks
Networking drinks reception
Networking drinks reception ends at 6.30pm.
Registration & Breakfast
Registration & Breakfast
Chair's Opening Remarks
Transformation – With the promise of AI, Analytics and Automation, what do companies need to do to embrace the future? Strategies and tactics that drive success.
What are some things that makes us deeply human? Our need to search for meaning (explore) and spread what we learn along the way. This ‘explore and spread’ is unfolding
at an uprooting pace… new business models are being created and many destroyed. Companies with older models need to transform, companies with newer ones need to understand how to help their customers while embedding disruption within their operations. Leading companies are not only improving their technical infrastructure, they are changing their core operations and launching entirely new services. However, investing millions in digital is of little value in and of itself. What separates winners from losers is the ability to transform technical capabilities into insights and to turn those insights into execution. This race to AI, Analytics and Automation poses big questions:
1. Why your company is talking and investing in “transformation” (showing up in initiatives like ‘AI’, ‘Advanced Analytics’, ‘Digital acquisition’, CX, etc.)?
2. Why is transformation so difficult?
3. What can you as a leader do about it?
Small Data – Big Gains: Innovating in an Increasingly Complex Data Landscape
Applying big data, analytics and AI in marketing is the direction most enterprises are moving towards. However, the integration of data across systems is increasingly challenging with long development horizons. Meanwhile companies are fighting to stay relevant and innovate today. Learn how Northwestern Mutual leveraged both big and small data at scale to deliver game changing results in record time.
Using Data to Personalize Customer Acquisition
To optimize spend and create the customer journey, D2C companies like Boxed are leveraging customer analytics and data to drive actionable insights, acquisition strategy, and segmentation. Join this session to learn more how Boxed uses data science and predictive modeling to drive personalization and customer acquisition efforts.
Networking coffee break
Beyond To Whom It May Concern – Personalization of promotions and welcome journeys to increase overall revenue
Personalization can mean many things to many companies—from the basics of communicating with your customer by name to content messaging based on customers buying behavior. By using analytics around our customer data, we have expanded personalization to work within our existing customer’s personal ‘comfort zone’ and expand their cross brand purchases with their overall order value. For new customers, we have used limited acquisition data to determine what is the best path each customer should follow to best increase their purchase rate and overall value.
Panel discussion: data-driven, customer centricity
- Customer centricity as a priority
- Aligning brand-driven and customer-driven marketing
- Utilizing data to reach your customer at the right time, in the right way
- Customer segmentation as the key to customer centricity
- Personalizing your marketing efforts while avoiding the “creepy factor”
Data Science in the Age of Digital Marketing
When talk about Marketing, the first thing popping into peoples’ minds may be Mad Men, instead of a bunch of nerds hunching over their computers. However, today’s marketing landscape has long been shifting towards digital marketing, and with its rise, Data Science has also been playing an increasingly important role. In this session, I’ll share my experience of building a data science team which help scaling up our digital marketing budget by 10x, our successes and failures, and the learning from it all.
Fireside Chat: Using Chat Technology to Personalize your Product Marketing Strategy
This fireside chat will dive into the benefits of introducing conversational marketing inside of chat technology, based on user site behavior. From Abandoned Cart reminders to recommended products, the session will discuss how Facebook Messenger can be leveraged to engage shoppers who use chat apps as their primary communication channel (instead of the more traditional email), and drive 9X more conversions from chat than from other existing channels. In this session, we will discuss how to use chatbots for marketing and sales, and how to measure the impact on sales, LTV and AOV. Attendees will walk away with an understanding of how to use Facebook Messenger to unlock new revenue.
Change the Conversation: How Voice-Activated VR Can Aid Training
VR has already shown amazing results when it comes to training and retention -- adding voice only improves the level of immersion. In this talk, we will examine the ways businesses are using voice in VR and training and share best practices for how to create voice-activated VR training opportunities for your organization.