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Artificial Intelligence | Customer Intelligence

Malcolm LightbodySeptember 21, 2018 1

Customer journey optimization – The brain

My first post on customer journey optimization set the scene by introducing the concept of marketing as a game to be won. The rules to this game are complex, some are known, and others can be learned. Above all, the game is built on a shifting landscape of customer, competitor

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Artificial Intelligence | Customer Intelligence

Malcolm LightbodySeptember 14, 2018 4

Reinforcement learning brings AI to customer journeys

In my previous post I wrote about the Atari video game, Breakout, and how an AI technique (reinforcement learning, or RL) outperformed a human player. I also drew an analogy between Breakout and customer journey optimization. In Breakout, the environment is what you see on the screen – the blocks,

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Artificial Intelligence | Customer Intelligence

Malcolm LightbodySeptember 10, 2018 0

AI-based customer journey optimization

The customer journey is at the forefront of every discussion about modern marketing. The idea that customers move in premeditated or, at the very least, marketer-meditated paths between well-defined states is alluring (and comforting) to a marketing professional. Of course, even a cursory examination of a web path analytics (Sankey)

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Customer Intelligence

Wilson RajAugust 10, 2018 0

Who owns real-time customer interactions in the C-suite?

With analytics, brands can see the world as their customers do ‒ and shape real-time customer interactions accordingly. And according to latest Harvard Business Review Analytics Services Report, Real-Time Analytics: The Key to Unlocking Customer Insights & Driving the Customer Experience, real-time analytics is a critical enabler. The report is

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Advanced Analytics | Analytics | Customer Intelligence | Data Visualization | Machine Learning

Suneel GroverJuly 18, 2018 2

SAS Customer Intelligence 360: Factorization machines, visual analytics, and personalized marketing [Part 1]

In a previous posting, SAS Customer Intelligence 360 was highlighted in the context of delivering relevant product, service, and content recommendations using automated machine learning within digital experiences. Shifting gears, SAS recognizes there are different user segments for our platform. This post will focus on building custom analytical recommendation models

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Customer Intelligence

Suneel GroverJuly 13, 2018 0

SAS Customer Intelligence 360: The Digital Shapeshifter of Recommendation Systems [Part 2]

In part one of this blog posting series, we took an introductory tour of recommendation systems, digital marketing, and SAS Customer Intelligence 360. Helping users of your website or mobile properties find items of interest is useful in almost any situation. This is why the concept of personalized marketing is

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Customer Intelligence

Suneel GroverJune 20, 2018 3

SAS Customer Intelligence 360: Predictive next best actions

Regardless of industry, it has become a frequent occurrence that behind every data-driven marketer is an analytical ninja. Together, they formulate recipes in addressing the customer-centric paradigm that considers the different actions that a brand can take for a specific individual, and decides on the “best” one. The goal of

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Customer Intelligence

Suneel GroverMay 30, 2018 3

SAS Customer Intelligence 360: Goals, propensity models, and machine learning

Why does your organization’s website or mobile app exist? What are you hoping to accomplish with your business by being digital? What are the most important priorities for your digital presence? Here are three goals that most organizations share: Sell more stuff. Make marketing more effective. Delight customers. Goals are

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Customer Intelligence

Suneel GroverMay 23, 2018 2

SAS Customer Intelligence 360: Path analysis for re-engagement

Path analysis is an exploration of a chain of consecutive events that a given user or cohort performs during a set period while using a website, online game or mobile app (although other use cases can apply outside of digital analytics). As a subset of behavioral analytics, path analysis is

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Customer Intelligence

Suneel GroverMay 17, 2018 0

SAS Customer Intelligence 360: Location analytics meets digital intelligence

When data meets geography, use cases revolve around mapping and spatial analytics. But what happens when you combine digital analytics and powerful visualization for customer location analysis? Leveraging data collection mechanisms, SAS 360 Discover captures first-party behavioral information across the entire digital customer experience with a brand’s websites and mobile

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