miércoles, 27 de febrero de 2013

8th-Grade Star’s Highlights Show Why He’s College Football Material

News that college-football champion University of Alabama offered a scholarship to an eighth-grade phenom has caused quite a stir online since breaking Monday. But it's also shed light on something else: the football star's nearly unbelievable YouTube highlight reel.

Dylan Moses, of Baton Rouge, La., is still in middle school; but that didn't stop Alabama Crimson Tide coach Nick Saban from offering him a scholarship over the weekend, according to an AL.com report. Moses won't start college until 2017, but he's also managed to pick up an offer from Alabama's Southeastern Conference rival, Louisiana State University.

Moses is already 6-foot-1, 215 pounds and reportedly runs the 40-yard dash in 4.45 seconds. What's more, his incredible highlight reel — the 2:05 mark, in particular — shows just how futile it was for fellow eighth graders to try to stop him last season. Check it out for yourself, above; then, let us know what you think in the comments.

Homepage image courtesy of YouTube, jrevonte

The single customer view is dead. Long live the single individual view

Posted 26 February 2013 09:59am by Ben Salmon with 1 comment

Can we really access of all data we have on customers and make decisions on the fly?

Here, I discuss the types of data which is available and describes how the single individual view is emerging as the way forward, not the ever dependant single customer view.

Introduction

For many years, us marketers have been striving to achieve a utopian state by knowing everything there is to know about our customers. We have even labelled this objective as the "single customer view" but the main challenges organisations have found is:

  • Managing the view on an on-going basis, given the demand for big data, or just about any new customer data, in the organisation is a continuous battle with a huge cost. (Data total cost of ownership).
  • Keeping analytical data updated is unrealistic (data relevancy).
  • Handling customer channel hopping is unachievable (data accuracy).
  • Delivering recommendations on interactive channels end up latent or irrelevant (data appropriateness).
  • Handling triggers do not have all the information to make the right offer or incentive (data timeliness).
  • Service and Sales customer interactions are treated independently (data silos).

So with all these challenges in place can we truly have a single customer view? As we knew it, the simple answer is no! 

The single customer view is appropriate for on-going, organisational led communications, however for consumer led interactions, organisations will be paralysed to make a decision in real time due the constraints around the volume and recency of data.

In a recent IDC web conference, one of their key findings was: "the high demand for sales and marketing revenue analytics will pressure organizations into moving away from older CRM systems, which may cause infrastructure disruption".

The single customer view, which marketers used to consolidate a vast amount of data to provide a single version of the truth, will always be needed, but will play a supporting not leading role.

However consumers and the splinternet have changed everything. Consumers are no longer drones following brand orders and are transient in their use of channels but:

  • The type of communications with customers is blurring (service, marketing, sales and research are simply a communication by the brand to the customer).
  • The channels consumers interact with will grow.
  • Consumer demand for instant decisions PLUS an assumption we have all the information they have told us at our fingertips will only continue.

Organisations which deliver this will have a differentiated offering. If only they could act on this data to be more relevant and make it easier for customers. 

Example Scenario

 

Let's look at two very simple, customer led, examples of the same scenario for a new customer, applying for a new credit card:

The customer previously had a prepay card. They ended not using the card as they found it difficult to top up the card via a mobile device and ended lapsing as a customer. 

  1. Customer clicks-through on a banner, based on a 0% balance transfer offer.
  2. The customer re-navigates through the to the offer.
  3. The customer opens the 0% balance transfer offers and complete the application form.
  4. Application form is received and customer approved.
  5. Customer goes back onto the website to find out about progress of the card, and has to re-navigate through to the right page and login. 
  6. Customer lost their login and rings the call centre, who do not know anything about the card application (as the application was made only an hour ago and their systems only update nightly).
  7. Customer is frustrated as they want to make sure they are in and able to sign for the card.
  8. Customer just waits and rings back. The call centre asks the customer who they are and what they are looking for, even after they have entered the information on in the IVR.
  9. The customer is then transferred to the new cards team, who ask the customer the same questions.
  10. The customer team ask for the customer's address again to update their records as there was a mistake on the address.
  11. The update is made and the card delivery date is then provided.
  12. The customer has finally found out the answer.

Sound familiar? Surely it shouldn't be this difficult?

How it could be then:

  1. Customer clicks-through on a banner offering 0% balance transfer.
  2. The customer is taken directly through to the offer page where they read through the offer. 
  3. The customer fills in the application form. A warning is displayed confirming his address, as there seems to be a mistake, given past customer records. His mobile and landline number are pre-populated based on previous customer data, and asked for confirmation.
  4. A SMS and email confirmation is sent to the customer with a link to a mobile app (derived from previous customer channel preference).
  5. Customer downloads the app and logs in. A status update is provided on the first landing page before the app tutorial.

So is this truly achievable? There are a lot of interactions happening here and some fundamental decisions being made. 

The short answer is yes, but before we discuss how, let's look at the key ingredients, the types of data we have to work with.

Types of data

Firstly we need to understand that there are two types of data which existing within an organisation. This is not the education of big data vs. personal data, public vs. private data, earned data vs. owned data, but a simplified look at data focused at the customer level.

Just think about the data organisations collect on consumers and then think about the key data they need to make a decision. 

Static data

This is the data which never changes, or changes very infrequently (less than once per week). For example a customer name, gender, address, email address, segment they are a member of, communications they have received or historic transactions. 

This data provides a huge amount of insight into the consumer, to understand the current and future value, preferred channel (implicit and explicit), contact information and communications they have received in the past. This data gives us relevancy and eligibility.

However this data fundamentally cannot be kept up to date with the vast amount of data, which is being generated through the interactive and digital channels of today. 

Dynamic data

This is the data, which is changing all the time. The phone call and reason for call, the last click on the website, the referral from the search engine, the click on the advertising banner, the conversation at the till, a live chat conversation or a mobile app download and sign up or interaction. 

This contextual information allows marketers to understand the reason for the interaction, real implicit activity, when a consumer is researching vs. ready to purchase, what to say when they are complaining, how to gain trust by understanding the customer. This data gives us appropriateness. 

However this data cannot accurately drive customer behaviour in the right direction, or the direction the organisation wants, as it has a very limited picture of the customer, a snapshot if like in time.

So what options do we have?

We need to be able to combine both data types. Firstly we need to understand the static data is not unless. In fact it is the most valuable information we have, however we also need to understand it is always not the most up to date picture we have of the customer. We can try and predict everything about a customer, but if they are making a complaint, we should  . . . . . . Handle the complaint as best we can. 

So the steps we need to confirm are:

  1. What data do we have? (both static and dynamic).
  2. What do I know and not know about my customers when they are interacting with us?
  3. What are the missing elements I need to make key customer recommendations? (remembering it is not always about selling, it could be about capturing data for a longer term opportunity).
  4. What channels can I realistically and practically interact with my customers through? (for example payment or a complaint lines may not be the first priorities, but customer service, online payment or account management environments might be ideal).
  5. What technology do I have for?
          1. Accessing the data.
          2. Analysing the data.
          3. Making decisions based on the data I have.
          4. Presenting the recommendation.
          5. Recording the outcome of the recommendation.

Ben Salmon is Partner at Transcend360 Consulting and a guest blogger on Econsultancy. 

Watch This NFL Prospect Faceplant During 40-Yard Dash

Shamarko Thomas is a strong safety out of Syracuse University who made his case for a professional career before NFL scouts at the annual draft combine, this week.

Thomas had, shall we say, an interesting experience while running the 40-yard dash on Tuesday when he finished one of his sprints with a pretty epic faceplant. The fall became a hit with sports fans online, but Thomas probably isn't that worried; his official time of 4.42 seconds was fastest among safeties, and gave his draft prospects a solid boost.

BONUS: 25 of YouTube's Funniest Sports Fails

Homepage image courtesy NFL

Q&A: RSA's Dan Huddart on web analytics and optimisation

Posted 26 February 2013 11:55am by Graham Charlton with 0 comments

Dan Huddart heads Web Analytics at RSA Group, a global insurance company. He oversees a group of analysts which works as an internal agency across all RSA brands, overseeing analytics and optimisation of digital properties in 33 countries.  

??Below he talks about testing, personalisation, a global web dashboard and how showing images of the right breed of dog can significantly improve pet insurance conversion rates.

How important is online business for RSA in terms of percentage of sales made online (both direct and through brokers)?

The online channel has a dominant role already in some of our markets, and a rapidly growing role in others. In the UK a significant volume of insurance is purchased online or with an online assist, and in other regions where that isn't yet the case, online is playing a critical role in marketing and in the research phase for consumers.

To put it into context, we now transact well over £1bn each year through online channels and that's up significantly from just a few years ago.

?Can you describe the role of your team within RSA, and how you act as an internal agency across the business?

We act as a centralised analytics team, sitting inside a global e-business hub which also contains teams of designers, UX practitioners, front-end and back-end developers and a project management function. Within the analytics team I currently have three web analysts and one AB/personalisation specialist.

The role we play varies, ranging from acting as a full service agency to light touch work and consultancy.

Some of RSA's global brands have just one or two people as a web team, and for these partners we'd typically offer a full service, including requirements gathering, technical implementation, report generation and insight workshops to help move the needle on whatever their growth metrics are locally. 

At the other end of the scale are RSA's more established online brands, which already have a strong web team and dedicated analysts. Our role here is more strategic; we renegotiate contracts at group level and provide short-term support for big projects, such as full site redesigns or site improvements.

The economies of scale we get in this arrangement are huge, both in reducing cost from suppliers and in our ability to reuse code and knowledge across the business.

?What do you think are the pros and cons of this approach (versus having an external agency or consultancy)??

The biggest pros are around quality and channel knowledge. We build and maintain insurance sites for up to 33 countries, so there's a raft of specialist channel knowledge on hand and we have a good idea of what works and doesn't work for each type of market. 

There are some cost savings, particularly when you consider that each brand may bring in its own local agency otherwise. What's more important is that we have RSA's best interests at heart – we're not targeted to make a profit from our services, only to drive up the results of our partners.

The main con I think is the risk of the teams becoming too specialised and dropping out of step with the wider digital community. Insurance isn't pushing digital boundaries as quickly as retail and telecoms sectors are, and we must ensure we continue to bring elements of those leading industries into our own. I think we solve this through personal development and staff engagement – everyone is encouraged to participate in industry-wide events and experimentation of new technologies and methodologies is very much encouraged.

?Are there any good examples of insights you have gleaned from one RSA brand or market, which have led to successful changes in other markets or businesses?

A good recent example is personalisation. Our Polish brand www.link4.pl wanted to improve the cross-sell between car and home insurance, and so we experimented using Adobe Test & Target to personalise the homepage. This enabled us to encourage existing customers to cross-sell rather than simply have static content.

I had a similar challenge in the UK but, in this case, our aim was to encourage existing customers to try making changes to their policies online. It was a different brief to the Polish one, but the underlying technology is identical and so we just lifted and shifted everything we'd learnt from one site to the other. It really boosted some of our key KPIs, with a 6% increase in existing customers logging their account, without impeding any new customer sales.

We discussed those two results on one of the global knowledge sharing calls and then instantly had two more partners requesting it, one in the UK and one in Scandinavia. They both have different metrics they're trying to hit, but we're reusing most of the code again and starting to see the same results on some huge sales channels.??Do you use a single web analytics vendor across the business?

We have a list of preferred tools, which is essentially a list of tools we have demonstrated in at least two of our brands already and have the skills in-house to implement and analyse with. Occasionally our partners will opt to use a local supplier but this is quite unusual now, given the buying power and depth of expertise we have as a central function.

Default homepage: 

Version for prospects: 

For existing customers: 

??How do you ensure that your time is spent on driving actionable insights and recommendations for key stakeholders within the business, rather than just web reporting??

Generally if a report can't be automated, I don't agree to deliver it, and we can usually offer to do something more valuable with that time such as analysis reviews and insight workshops. Most of the tools we use have great automation capabilities but to be honest it's quite rare that partners ask for regular reports once they've seen our pitch and way of working. 

If you offer someone the choice between a big spreadsheet of numbers versus a list of data-driven improvement ideas, backed with examples from our other brands, they rarely choose the spreadsheet.

?Can you talk a bit about the global dashboard you have set up and the visibility this has at the most senior levels of the business??

As we rolled out analytics implementations, we've maintained a consistent tag and data structure across all sites, with modifications for special markets like broker or niche insurance lines. This was initially designed to make it easy for analysts to work across different brands, but the other benefit is that I can roll that data up into country, continent and global views.

We use Adobe Analytics across all sites, and pull data through the API into a central dashboard which is designed to help the group's senior team identify opportunities and trends at a global level. To say this has been popular would be a huge understatement; the global web dashboard now has a regular slot at quarterly board meetings with our Chief Executive and Chief Financial Officer.

The trends we pull from this dashboard are shifts in device usage, marketing, usability performance, customer shopping behaviour and shifts in external factors such as the activity of insurance aggregators.

?How do you use testing and personalisation to improve online performance? What tech do you use for this??

Online testing is something we've been pushing for a while and personalisation really kicked off here in 2012, although it was present in other channels (offline marketing for example) before that.

We use Adobe Test & Target in most regions, firstly because it integrates well with our Adobe Analytics data and secondly because it's flexible enough for us to handle both the simple and complex briefs with one tool.

Creating a culture where change is AB tested can be a challenge, especially as it can add to the complexity of deployment. Our design and UX teams love it though, because it's the best way of finding out exactly how each change impacts our online metrics. A few years ago I was busy convincing people of the need to test, now I've got more demand for testing than we can keep up with.

Personalisation is running a year or two behind that but is on the same journey. From what we've learnt so far, it has the capability to really drive up user experience and engagement.

There's been some bad press about personalisation which is centred around its use for third party retargeting, but when used appropriately it just means that the messages you see are more likely to match what you're looking for on the site.  

People seem to love their local shops because they get a personalised service, and the same is true online. I really believe that the concept of a static homepage will be unthinkable in a few years time.

?Can you give some examples of what changes you have made as a result of? testing? 

We have implemented a lot of UX changes based on test results, and sometimes it's surprising to see what customers prefer. 

We don't do those awful button tests, e.g. changing the colour of a button to see whether you can drive up click-through. I'd question how that really benefits customers in any way.

What we do is look for ways of presenting information, ways of gathering data and ways of navigating which customers find easiest and most intuitive to use. We also test to find out what messaging to use in each stage of the customer journey, because essentially the website should exist to make insurance understandable and accessible if the web is your channel of choice.

The most interesting tests are usually the wacky ones which have some sort of emotive trigger. We have played around with personalising our pet insurance journeys, such as changing images to show the correct breed of dog for owners who are getting a quote for a pure breed.

It seems daft when you explain the concept but that little test ramped up conversion to sale by 4%, which proves that customers respond well to a user experience which feels personal to them.

?To what extent are you joining up online and offline data, for example using CRM data (as well as cookie data) to target the right customers at the right time??

We've been able to analyse online and offline customer data together for many years, the real shift change at the moment is the ability to do it in real time and allow our websites to personalise using offline data which they can look up instantly.

We're experimenting with this heavily at the moment and there are a ton of ideas being testing to understand how we can use real time online/offline integrations to improve customer experience. I see it as a logical progression to the personalisation tests, we should just make that personalisation better and even more relevant to the customer's needs.?

Father Recreates Classic Paintings With Daughter’s Portraits

Everyone thinks pictures of their kids are the most beautiful things in the world and, if it were possible, would hang them in museums for public viewing (instead, they just subject us to Facebook viewings). But photographer, and father, Bill Gekas can actually make the claim that the pictures of his child are true masterpieces.

Modeled after classic European paintings, Gekas' series of portraits of his daughter are stunning. The pictures would have us imagining that his daughter was posing for oil paintings instead of in front of a digital camera.

The Melbourne, Australia-based photographer began the project in 2010.

"A little time went on, and I was still photographing her, and had noticed that a body of work was developing that both my peers and general public found appealing," Gekas told Mashable. "We continued turning it into a project where it was no longer a portrait of my daughter, but more a portrait portraying a universal child."

We think Gekas should be awarded for creating the first set of kids' pictures that won't embarrass his daughter in a few years.

H/T PetaPixel. Images courtesy of Bill Gekas.

Real ‘Argo’ Hostage Responds to Big Oscars Win on Facebook

Two days after the political thriller Argo snagged best picture honors at the Oscars, one of the hostages whose experience inspired the film felt the urge to react to the big win on Facebook.

"The substance of what I wrote really just came to me this morning," Mark Lijek (played by Christopher Denham in Argo) told Mashable. "I was excited Argo won best picture."

Argo is loosely based on the hostage crisis during the Iranian Revolution in 1979, when militants held 52 Americans inside the U.S. embassy in Tehran. Argo details the tale of six of them who escaped and hid in the Canadian ambassador's home.

Lijek (pictured in the black tie above) and his wife, Cora, were two of those who escaped and were rescued by CIA specialist Tony Mendez (Ben Affleck) in 1980 at the Mehrabad Airport in Tehran.

Thirty-three years later, their story helped bring home the film industry's top prize.

"It dawned on me that there have been only 85 or so Best Picture winners out of probably tens of thousands of films made over the years, and the biggest adventure of my life was the subject of one of those."

"It dawned on me that there have been only 85 or so Best Picture winners out of probably tens of thousands of films made over the years, and the biggest adventure of my life was the subject of one of those."

Earlier Tuesday, Lijek wrote this on Facebook: "I was thrilled when Argo won, but only now is it really sinking in. Sorry if it sounds like bragging, but it is kind of cool to have the most interesting episode in your life turned into a best picture winner. Sure, the story is dramatized and important people were left out, but all the more reason I am glad I wrote the book and the magazine articles filling in the broader story."

Lijek has thoroughly detailed his version of events in a self-published book, The Houseguests: A Memoir of Canadian Courage and CIA Sorcery, as well as on such online publications as Slate ("I Was Rescued From Iran").

Lijek says he used the book's Facebook page to react because he wanted his friends to know his intimate thoughts.

He has been following the online sentiment around Argo and says he thinks the reaction patterns that previously arose in response to the film will continue even after the Oscar win.

"Those who like the film will be thrilled, those who don't will have even more reason to criticize Hollywood for honoring so 'ahistorical' a film," he told Mashable via email. "My own view is that even those of us who would have wanted to see more Canada in the film should be pleased by its success."

"The Canadian Caper, as it was long known, was a forgotten footnote in history until Argo revived the story," Lijek adds. "Because of this film we have an opportunity to rediscover the true history of the event, and many people are contributing to that, as well as to enjoy an exceptionally good movie. What's not to like?"

Photo courtesy of Mark Lijek: One of Six Rescued by Argo Mission Facebook page