Le 4 cose che il Digital Marketing sta dimenticando

NOTA AICEX: Un aiuto per non perdersi è tenere sempre a mente i fondamentali: perchè ? come ? dove ? quando ? chi ?
purple 4 hands

Posted: July 1, 2014 | Modern Marketing

Today, the distinction between offline and digital marketing has become practically irrelevant. “Offline” marketing like TV and radio ads are likely to spark activity online (say Twitter, Facebook and Google+) which means that a well-executed radio ad could have a significant, if indirect, impact on your SEO. It also means that marketing has become so multi-channel and integrated that making a distinction is not only pointless – it’s restrictive.

The key to getting your marketing right is to understand the relationship between each different marketing channel and how each one can complement the other. While every situation, website and industry is different, there are four concepts that digital marketers often miss. Continua a leggere “Le 4 cose che il Digital Marketing sta dimenticando”

Utilizzare i “Little Data” in 4 passi

NOTA AICEX: Talvolta sarebbe più utile utilizzare in maniera adeguata le informazioni che già si possiedono senza impiegare tempo e danaro per cercarne di nuove.

June 23, 2014 | by Bryan Pearson

When it comes to data insights, marketers tend to underestimate the power of little. They should not be fooled. Like small faults, little findings can result in seismic shifts.

This was pointedly argued in an article about the virtues of little data, written by David Meer for “Strategy + Business.” One sentence leapt from the page as I read his piece:

A paradigm shift — away from management based on gut feelings and toward data-driven decision making — is already under way, and accelerating.

This is an important line. Many organizations have gotten got caught up in thinking that Big Data — with high velocity, volume or variability — is a requirement when in truth they are already sitting on a wealth of potential in the data they have. If they shift their focus to finding new ways to use what they have, such as applying a customer perspective to the information, they can generate fresh insights and management options.

Meer offered three steps that companies should follow to extract meaning from their little data. I would add one more step, and suggest that big companies, as well as small, would benefit from them all. Here they are, with an added loyalty spin:

Be more fact-based: Organizations should think about what information is available to gain reliable insights into the business. Even better, data analysis, when it relies on insights collected through a loyalty program, can yield even broader opportunities. Extending customer insights by using the data from a merchant-branded loyalty program that is tied to a credit card, for example, not only gathers information from activities with that brand, but also activities with its competitors. In cases where such information is not available, organizations should apply the facts at hand in their decision making. This will lead to the next step.

Learn by doing: “Since little data applications are not commercially available via third parties, companies have to use trial and error,” Meer wrote. The loyalty publishing company COLLOQUY likes to refer to the importance of “quick wins” that come with data trialing, and how the returns in intelligence and business can be leveraged in the following years. Importantly, such small successes will inspire incremental management support.

Be creative: Do not underestimate the feedback that comes from employees. In-store observations, online surveys and call-center conversations all can reveal much about customers, Meer wrote. Organizations can even offer incentives to those who provide feedback, further enhancing their brand value while also obtaining valuable information from natural interactions with their customers. Affordable technology, such as cloud backup services, can ensure customer information is securely stored and available for staff.

Lastly, my own added step:

Think like your customer: Marketers spend a lot of time gathering data on who buys a product, when and under what circumstances, but how often are they thinking like that end consumer, the Millennial starting a new job or a recent mother? In order to successfully analyze the data, organizations should get to the underlying motivations and aspirations of their customers. After all, the context of the information is as important as the data they are using as the basis for “little data” experiments. Additionally, because the data can deliver sterilized results, marketers might consider introducing variables, such as a spilled coffee or screaming baby.

All of these unanticipated events, however small, can alter the brand experience. It might not feel seismic, but the power of even a little knowledge can redirect a company onto a more profitable course.

(Photo by JD Hancock.)

Source http://www.retailcustomerexperience.com/blogs/big-wins-with-little-data-in-four-steps/?utm_source=NetWorld%20Alliance&utm_medium=email&utm_campaign=EMNARCE06302014

AICEX Associazione Italiana Customer Experience

Alcuni validi esempi di come utilizzare i Big Data

NOTA AICEX: I Big Data sono come una medicina, perfetta a fronte di certi sintomi, ma non sono la panacea per tutti i mali.

IBM Watson

Big data is all the rage. Why? Harnessing the insights buried in the mountain of data to improve the experience for your customers is a huge opportunity.

Is it easy? No.

Is it worth it? Probably. But you won’t know by sitting on the sidelines.

The focus, from big data, is to not just meet customer expectations but to exceed them. What if your big data solution could communicate with customers in natural language? What if it could learn from customers with each interaction? What if your big data solution could engage with customers in ways they like? What if your solution could empower customers at the point of action?

This is not a pipe dream. This is happening now.

In the past two years, companies have internally grappled with this question of how to make big data and analytics relevant to the business, and how both can make payoffs on initial budgetary investments. In many cases, enterprises have seen big data and analytics pay off. Early successes have come in the form of summary dashboards that give C-level executives and middle managers instantaneous visibility on revenues, sales campaigns, and operational performance. But while companies have gotten their feet wet, vendors of big data and analytics also know that a new level of business relevance for analytics will soon be expected, and they are seizing the opportunity to deliver it. via IBM Watson: A shining example of how to take big data to the next level – TechRepublic. Continua a leggere “Alcuni validi esempi di come utilizzare i Big Data”

McKinsey: Digitalizzare il consumer decision journey

NOTA AICEX: ricostruire l’esperienza cross-channel del cliente non è certo una impresa facile. Utilizzare gli strumenti digitali per fornire ai clienti informazioni just-in-time e ben targetizzate, potrebbe aiutare. Molte aziende sono però ancora convinte di fare già tutto alla perfezione in questo ambito: sarà vero? Tali aziende si rendono conto di quanto complesso sia gestire le interazioni con i clienti digitalizzati?
La soluzione gira sempre intorno ad uno degli elementi cardine di una buona customer experience e cioè la visione del cliente a 360 gradi, raccogliendo in un unico repository (hub) tutte le interazioni con l’azienda: social, voce del cliente, crm, campaign management, dati finanziari, predictive analytics e chi più ne ha più ne metta. Le soluzioni tecnologiche sul mercato sono molteplici, alcune delle quali disponibili anche in Europa.

In a world where physical and virtual environments are rapidly converging, companies need to meet customer needs anytime, anywhere. Here’s how.

June 2014 | byEdwin van Bommel, David Edelman, and Kelly Ungerman

 Many of the executives we speak with in banking, retail, and other sectors are still struggling to devise the perfect cross-channel experiences for their customers—experiences that take advantage of digitization to provide customers with targeted, just-in-time product or service information in an effective and seamless way.

Video

How consumer behavior keeps changing 

How consumer behavior keeps changing

McKinsey’s David Edelman explains how purchasing decisions are made in a digital world. Continua a leggere “McKinsey: Digitalizzare il consumer decision journey”