Tag: personalization

Advanced Analytics | Customer Intelligence | Data Visualization
Suneel Grover 0
SAS Customer Intelligence 360: Hybrid marketing and analytic's last mile [Part 3]

In parts one and two of this blog series, we introduced hybrid marketing as a method that combines both direct and digital marketing capabilities while absorbing insights from machine learning. According to Daniel Newman (Futurum Research) and Wilson Raj (SAS) in the October 2019 research study Experience 2030: “Brands must

Advanced Analytics | Analytics | Artificial Intelligence | Customer Intelligence | Data Visualization
Suneel Grover 0
SAS Customer Intelligence 360: Marketing AI vision

Your brand is customer journey obsessed, and every interaction with your company provides a potential opportunity to make an intelligent decision, deepen engagement and meet conversion goals. The hype of martech innovation in 2020 is continuing to elevate, and every technology vendor is claiming the following statement: "Bolster the customer

Advanced Analytics | Analytics | Customer Intelligence | Data Management | Data Visualization
Suneel Grover 0
SAS Customer Intelligence 360: Automated AI and segmentation [Part 3]

In parts one and two of this blog series, we introduced the automation of AI (i.e., artificial intelligence) and natural language explanations applied to segmentation and marketing. Following this, we began marching down the path of practitioner-oriented examples, making the case for why we need it and where it applies.

Advanced Analytics | Analytics | Customer Intelligence | Data Management | Data Visualization
Suneel Grover 0
SAS Customer Intelligence 360: Automated AI and segmentation [Part 2]

In part one of this blog series, we introduced the automation of AI (i.e., artificial intelligence) as a multifaceted and evolving topic for marketing and segmentation. After a discussion on maximizing the potential of a brand's first-party data, a machine learning method incorporating natural language explanations was provided in the context

Advanced Analytics | Analytics | Artificial Intelligence | Customer Intelligence | Data Management | Data Visualization | Machine Learning
Suneel Grover 0
SAS Customer Intelligence 360: Automated AI and segmentation [Part 1]

Marketers and brands have used segmentation as a technique to deliver customer personalization for communications, content, products, and services since the introduction of  customer relationship management (i.e., CRM) and database marketing. Within the context of segmentation, there are a variety of applications, ranging from consumer demographics, psychographics, geography, digital behavioral

Advanced Analytics | Analytics | Artificial Intelligence | Customer Intelligence | Data Visualization | Machine Learning
Suneel Grover 0
SAS Customer Intelligence 360: A look inside the black box of machine learning [Part 3]

In parts one and two of this blog posting series, we introduced machine learning models and the complexity that comes along with their extraordinary predictive abilities. Following this, we defined interpretability within machine learning, made the case for why we need it, and where it applies. In part three of

Advanced Analytics | Analytics | Artificial Intelligence | Customer Intelligence | Data Visualization | Machine Learning
Suneel Grover 0
SAS Customer Intelligence 360: A look inside the black box of machine learning [Part 2]

In part one of this blog posting series, we introduced machine learning models as a multifaceted and evolving topic. The complexity that gives extraordinary predictive abilities also makes these models challenging to understand. They generally don’t provide a clear explanation, and brands experimenting with machine learning are questioning whether they

Advanced Analytics | Analytics | Artificial Intelligence | Customer Intelligence | Data Visualization | Machine Learning
Suneel Grover 0
SAS Customer Intelligence 360: A look inside the black box of machine learning [Part 1]

As machine learning takes its place in numerous advances within the marketing ecosystem, the interpretability of these modernized algorithmic approaches grows in importance. According to my SAS peer Ilknur Kaynar Kabul: We are surrounded with applications powered by machine learning, and we’re personally affected by the decisions made by machines

Advanced Analytics | Analytics | Customer Intelligence | Machine Learning
Suneel Grover 0
SAS Customer Intelligence 360: The digital shapeshifter of recommendation systems [Part 1]

If you’ve ever used Amazon or Netflix, you’ve experienced the value of recommendation systems firsthand. These sophisticated systems identify recommendations autonomously for individual users based on past purchases and searches, as well as other behaviors. Customers get algorithmic recommendations on additional offerings that are intended to be relevant, valued, and

Analytics | Customer Intelligence | Data Visualization | Machine Learning
Suneel Grover 0
How does a marketer know what to test?

As customer interactions spread across multiple touch points, consumers demand seamless and relevant experiences. Traditional planning and design approaches--that rely on historical conventions, myopic single-channel perspectives and sequential act-and-learn iteration—no longer matches the complexity and pace of modern digital marketing. Marketers must  re-evaluate their strategies for engagement—especially in the area

Advanced Analytics | Analytics | Customer Intelligence
Suneel Grover 0
Digital intelligence for optimizing customer engagement

Digital intelligence is a trending term in the space of digital marketing analytics that needs to be demystified. Let's begin by defining what a digital marketing analytics platform is: Digital marketing analytics platforms are technology applications used by customer intelligence ninjas to understand and improve consumer experiences. Prospecting, acquiring, and holding on

Customer Intelligence | Data Management
Suneel Grover 0
Web analytics vs. digital intelligence - what's the difference?

The business opportunity to intelligently manage customer journeys across their lifecycle with your brand has never been greater, but so is the danger of not meeting their expectations and losing out to savvier competitors. In my opinion, the current state of most digital analytic practices continue to be siloed, tactical, and narrowly fixated on channel-obsessed dashboard

Customer Intelligence
Suneel Grover 0
Analytical segmentation for data-driven marketing

Marketers have used segmentation as a technique to target customers for communications, products, and services since the introduction of  customer relationship management (i.e., CRM) and database marketing. Within the context of segmentation, there are a variety of applications, ranging from consumer demographics, geography, behavior, psychographics, events and cultural backgrounds. Over time, segmentation has proven its value,

Students & Educators
Mimi Stapleton 0
Spanish Video Library for Apple TV

"Apps are the future of television,” Apple boldly proclaimed with the recent launch of the next-generation Apple TV*. Among other new features, Apple TV now includes access to the App Store, allowing users to personalize their entertainment experience without having to buy a new television. Just plug the device into the back of your

Customer Intelligence
Suneel Grover 0
Digital marketing, predictive analytics, and making personalization delicious

In anticipation of SAS Forum Portugal 2015, I wanted to kick off my first contribution to the SAS Customer Analytics Blogosphere sharing an interview I completed with Sofia Real on the topics of modern digital marketing, predictive analytics, optimization, and personalization. Does that sound like a nasty traffic jam you might want to avoid? Absolutely not,

Customer Intelligence
Jonathan Moran 0
Getting to the segment of one

As mass marketing becomes less common and effective, we get closer and closer to the ideal of the “segmentation of one,” which involves high degrees of personalization. In that environment, businesses must be able to market to customers at an individual level to remain competitive and relevant. However, without customer analytics technologies --

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