MWC 2017 – Data Design Speaking Recap

What a great show! Mobile World Congress is when the tech world converges on Barcelona, Spain to discuss the ever expanding domain of mobile. I was excited to attend this years event for three reasons: speaking engagement, conducting tours for media and live streaming on behalf of Epsilon. This post will focus on a comprehensive recap of my panel discussion and pre-session approach.

SPEAKING – I had the opportunity to speak at the Modern Marketing Summit event at Mobile World Congress with the CMO of Aston Martin. The main topic was discussing where he could place bets on emerging tech in the near future. I wanted to put more rigor around the discussion and spent time ahead of the session diving into our proprietary data assets to uncover hidden truths about Aston Martin drivers as the basis for recommendations on where to invest for the future.

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One of the teams I lead is called Data Design. We take unstructured data from a given category such as automotive and apply machine learning to process conversation among owners and map key perceptions, occasions and attributes as well as personality. Machine learning directs our quantitative research and then we overlay some of the worlds largest proprietary data assets to map category perceptions and behavior among Aston Martin drivers.

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This approach proved impactful as the foundation based on data design allowed for differentiation of opinion through insights that allowed a more seamless transition to discuss the intersection of emerging technology and new behavioral signals that will continue to empower consumers.

I begin mapping future state strategy through the lens of Connection, Cognition & Immersion. 

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CONNECTION – Trends and technology that connect us, this can include voice based and conversational experiences such as chatbots. Here are previous posts on Connection.

COGNITION – All facets of artificial intelligence such as Machine Learning, Deep Learning, Neural Networks. Here is a previous post on AI.

IMMERSION – Full sensing and immersive experiences, Virtual, Augmented, Mixed, Merged reality, all of these will have an impact in the near future, and possibly shift entertainment from the back seat to the front. Here are previous Immersion posts

Once I outlined each of the components of the Connection, Cognition & Immersion framework I then recommended that he first begin by laying a foundational data designed strategy to prepare for the pending intelligence revolution.

The Intelligence Revolution will incorporate both reactive and predictive elements in anticipation of the rise of the Proxy Web & System based journeys. All of this is built on a foundation of data + decisioning and will transcend individual technologies.

Here is additional context about the four components of the intelligence revolution:

REACTIVE DATA SETS – Today most consumer centric marketing is based on reactive data. For this panel I began with machine learning based AI to map the psychographics of the Aston Martin user.

PREDICTIVE – Next you will see the rise of predictive algorithms and API’s. This is where you see the combination of reactive datasets and regression analysis and modeling to build towards predictive experiences.

PROXY WEB – This is essential for the most important point to consider which will be the time very soon when the consumer may not be at the center of marketing. The Proxy web is where bots or other intelligent systems will drive predictive discovery driven by vertical and horizontal algorithms. Where the bots become the new DSP’s and IOT based sensors and intelligent environments become the new DMP’s.

SYSTEM BASED JOURNEYS – That will lead to a new type of consumer journey, except this time it is the addition of system based journeys that provide both predictive elements, but also overlay situational awareness across an intelligent environment.

More detail to come on the topic of the Intelligence revolution in a future post.

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MMS Upfront @ Internet Week 2016

This week I had the opportunity to speak at the Modern Marketing Summit Upfront @ Internet Week 2016 discussing the topic of the transformation of storytelling. Below is a recap of my key talking points.

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The discussion covered 4 territories tied to how storytelling is being transformed.

1) How do you define storytelling from your company’s perspective? What is a story? 

I’d define Epsilon’s approach to storytelling as finding a compelling difference through data that leads to a consumer truth then completing a narrative around that truth. The truth/data will often reveal the correct medium by telling who, what, where and when of the audience. We then use traditional tools of persuasion formatted by channel to reach the audience.

For us a story can be any type of format that creates a connection with a consumer. This can come through brand created, co-created or user created content. We further delineate storytelling and storymaking by working with our brand partners to make them the catalyst for the stories consumers are making for themselves.

2) How does the context of where and when the story is being told affect the way you choose to tell it? 

Context is key as this informs whether we should use storytelling vs. storymaking moments. We then align moments with personalized elements of the story based on our data findings and use cross device identity to create personalized story delivery at scale.

We partner with a major sports speciality retailer to generate and optimize 1 million versions of the brand story that aligns with key contextual moments.

This is approach is based on transactional and online click stream data and that in turn continues to drive actionable insights across all of our initiatives to inform and optimize our creative process in near real time.

The key is consistency of message across various formats and having the ideal understanding of cross-device behaviors to deliver a message at the right time.

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3) How do you coach your clients to think from the consumers perspective? What do you hope a good story will achieve for your client? 

We show them what consumers expect, how they perceive their brand and category and align strategy where there are opportunities to create new points of connection. This includes understanding when to leverage branded content vs. co-created vs. integrated vs. user created content to tell the story for the brand.

We focus a lot on consumer behaviors. This comes in the form of machine learning and artificial intelligence that looks at specific domains and mobile ethnography studies. We also leverage our proprietary assets that highlight key behavioral, transactional and affinity based data that allows us to demonstrate how we find unique ways to tell or make a story.

We not only show them what consumers expect, how they perceive their brand and category we focus on the potential outcomes tied to our storytelling and story making efforts.

Our goal is to start or change a conversation, create advocacy and ultimately drive purchase and business outcomes.

4) How important is data in informing your decisions about your storytelling methods? 

Data is the fuel of our creative process. It enhances the creative, it does not replace or stifle creativity.

We realigned our planning with data science to inform creative territories & strategic themes we then use this to map the story as well as deliver audiences all with an eye towards outcomes and building models that show the impact of our storytelling efforts

One of the other great assets is our ability to map to individuals across devices. This makes it easier to deliver highly personalized and dynamic creative. Mapping high level themes through to relevant micro-moments. This allows us to connect with consumers regardless of where they are in a heavily fragmented media landscape.

Data also informs consumer readiness when it comes to emerging storytelling mediums. Whether it’s the shift towards conversational user experiences to immersive experiences such as Virtual, Augmented and mixed reality. data is a foundational element to our approach to creativity and innovation.

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