Tag: marketing analytics

Analytics
James Ochiai-Brown 0
The Analytics Culture Clash

Today, data and analytics are at the core of the work of most organisations. They are embedded in business processes and customer interactions alike. But in getting to this point, there has been a struggle between two different cultures within these organisations — between two groups from different backgrounds with

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
Patrick Xhonneux 0
Why fact-based CMOs outperform their peers

At a time when ‘fake news’ has acquired its own presence on Wikipedia, it is worth reflecting a little on something more fundamental - the difference between facts and opinions. One of the most critical points to keep in mind when reviewing a plan, or a performance report, is to

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

Analytics | Customer Intelligence
SAS Colombia 0
Anticípese al 2017 con analítica: 10 decisiones de negocio que puede tomar ya para aplicar en el nuevo año

La intuición ya no es la mejor consejera a la hora de tomar importantes decisiones de negocio. Los empresarios de antes lanzaban un nuevo producto al mercado basados en su ‘olfato de negocios’; abrían un nuevo local después de contar manualmente cuántas personas transitaban por el frente del local; y

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

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