Tag: digital marketing

Advanced Analytics | Analytics | Customer Intelligence | Data Visualization | Machine Learning
Suneel Grover 0
SAS Customer Intelligence 360: Factorization machines, visual analytics, and personalized marketing

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

Analytics | Artificial Intelligence | Machine Learning
Charlie Chase 0
Will artificial intelligence replace humans?

We have entered the “second machine age.” The first machine age began with the industrial revolution, which was driven primarily by technology innovation. The ability to generate massive amounts of mechanical power made humans more productive. Where the steam engine started the industrial revolution, the second machine age has taken

Customer Intelligence
Suneel Grover 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

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

Advanced Analytics | Analytics | Artificial Intelligence | Customer Intelligence | Data Visualization | Machine Learning
Suneel Grover 0
Algorithmic marketing attribution and conversion journey analysis [Part 3]

In Part 1 and Part 2 of this blog posting series, we discussed: Our current viewpoints on marketing attribution and conversion journey analysis in 2017. The selection criteria of the best measurement approach. Introduced our vision on handling marketing attribution and conversion journey analysis. We would like to conclude this

Advanced Analytics | Analytics | Artificial Intelligence | Customer Intelligence | Machine Learning
Malcolm Lightbody 0
Algorithmic marketing attribution and conversion journey analysis [Part 2]

In Part 1 of this blog posting series, we discussed our current viewpoints on marketing attribution and conversion journey analysis in 2017. We concluded on a cliffhanger, and would like to return to our question of which attribution measurement method should we ultimately focus on. As with all difficult questions

Advanced Analytics | Artificial Intelligence | Customer Intelligence | Machine Learning
Suneel Grover 0
Algorithmic marketing attribution and conversion journey analysis [Part 1]

Everyone has a marketing attribution problem, and all attribution measurement methods are wrong. We hear that all the time. Like many urban myths, it is founded in truth. Most organizations believe they can do better on attribution. They all understand that there are gaps, for example, missing touchpoint data, multiple

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

1 2 3