Tag Archives: Amazon

Ten customer experience predictions for 2015

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A crystal ball (with a pinch of salt)

It’s the time of year when people make predictions about the coming year. Here are my predictions about what customers will see differently in 2015.

I have based these on nothing more than some experience and conversations with interesting people, so take them with whatever amounts of salt you like.

Privacy will matter less than trust.

Customers will increasingly accept that companies will know more about us than we would like. But in return, we will want companies to prove even more that we can trust them with our data.

Mobile payments won’t fly in 2015

The new iPhone 6 includes the ‘Apple Pay‘ mobile payment facility. It is due to launch in the spring of 2015.

But it won’t have us all pay by mobile all at once.

Why?

Because the customer experience for card payments is still better than the mobile alternative.

Card out, put in reader, type in four numbers, done. Easy.

Mobile out, tap button to wake up phone, find payment app, confirm amount, confirm authorisation again, await confirmation of payment on phone, give up, take out cash…

And that’s not all. Not enough shops will take mobile payments, but they all take cards. They will need a compelling reason to change.

And, even if we want to pay by mobile, with dozens of payment apps available, the chances are that a given shop won’t take the specific app that’s on our phone.

As Google and many others have found, and as Apple is about to find, the business of payments is hard. This one is going to be slow, people.

Our buying experience will start to be simpler and more relevant

Want to buy something? There’s too much choice.

Any major decision – holiday, car, house, furniture, white goods, television, PC, phone, school – now needs detailed online research, investigation of reviews and trawling of social media.*  It’s so much work that that buying stuff now feels like it costs as much in effort as our research saves in money.

Many sites, such as those in the travel industry, can ask us for some preferences to simplify our journey by filtering choices, it is still a chore.

It is only a matter of time before some sites simply use our social identity, online behaviour, some statements of preference and history of other purchases to predict the best purchase solutions for us and offer a focused choice that’s right for us, based on who we are.

More than a search based on budget, distance from home, type of hotel preference and preferred flight times, this is a search based on what we genuinely want and like, evidenced by our behaviour.

This is, I believe, the kind of thing that will be enabled through the data gathering and machine learning capabilities of facilities like Google Now or Amazon Echo.  I think we will start to see these services being offered in 2015.

Before long, we won’t be typing in “…washing machine reviews…” when we want to think about replacing our white goods. We’ll simply muse out loud, in our living room:  “Alexa?  What washing machine would be best for me?”

We will start to see fresh food delivery online at scale from non-grocers

Building a distributed, refrigerated real-time supply chain to distribute fresh food is expensive and difficult. This has acted as a major barrier to entry for online players. It has kept traditional grocery supermarkets in the game and let them sell us all the other household stuff we need routinely.

But Amazon are starting to trial fresh food delivery and many consumers will begin to use them for their shopping. I think we will start to see the grocers’ monopoly on our weekly food shop starting to erode in 2015.

At least one traditional supermarket will experiment with a alternative models

Of course, traditional supermarkets are no mugs. They will experiment with new ideas to ‘lock in’ our weekly shop and keep it away from online pretenders. Tesco already have a subscription model for online delivery charges. I would be surprised if they, or their competitors, didn’t come up with an alternative. A single monthly subscription that delivers a weekly food shop, for example?

Health insurers will offer discounts for customers to upload their health data activities.

This one is, I think, already happening. Wearables, and the health monitoring facilities offered by the iPhone 6, all gather data about our long-term lifestyles.

Health insurers are beginning to incentivise us to upload this data to the cloud. Health insurers will analyse this data and give us bespoke cover at tailored premiums. And we will like it. (unless we’re fat, or sedentary, in which case our premiums will shoot up).

Wearable tech will cause at least one Big Data / privacy scandal

Wearables are probably the first tech innovation designed from the ground up to enable ‘Big Data. Just by wearing a watch or wristband, our movements yield long-term telemetry data.

Where we go, what we do, who we meet, what we are interested in, when we do things, how we get there, what we buy, how we pay and who we tell – this so-called ‘digital exhaust’ trails behind us as we live.

This data is so complex, so large and so intimate that it will not be possible to protect it fully, certainly not at the start. Sometime in 2015, we will have the first leakage of such data and what it will reveal about what is known about us will be scary.

Buyers of customer experience management software will get wise to the idea that there is no such thing

The notion of customer experience has become polluted by vendors selling ‘customer experience software’. There ain’t no such thing.

Leading, managing and operating an organisation to offer a good customer experience is not about software. It is a matter of principle, strategy, practice and attention. I expect that more companies will understand this in 2015.

Banks will claim to be customer-centric but scandals will continue to disprove this idea

Banks will continue to try and show that they have genuinely changed their stripes. That they have,learned the error of their ways and are driven by the interests of their customers.

But I fear that this hope will founder, for two reasons. First, a typical bank IT system is a messy legacy stack that is hardwired around products, not customers. These systems are too big and too complex to change without eye-watering expense.

Second, the majority of banks continue to reward their people to focus on short-term revenues for the bank, regardless of the interests of the customer. Because these rewards are so big, they will continue to distort banker behaviour away from the customer.

This toxic culture is so ingrained that it will take a generation to fix – so while I have little hope of customer-centred progress in 2015, I feel sure that more banking scandals will emerge.

Some brands will begin to function as marketing algorithms

The lines between ‘pure’ marketing and customer experience continue to blur. Marketers have been trying for years to personalise their messaging to individual consumers. I think this year, we will start seeing the first marketing content, bespoke for individual customers, automatically generated by what marketing systems know about each customer.

What will make these communications different? They will be driven by specific parameters that properly reflect the intent of the brand.

The content of marketing emails may be different, depending on what else they know about us. (Depending on the ethics of the company, this could  be much more than just the information we gave them when we opted in for their marketing – assuming we did at all).

While the content of all these emails may be different for EVERY customer, each will reflect the presentation, tone of voice and content of the brand. The brand will have become an algorithm, driving content.

What are your predictions?

So these are my predictions for the year. Things will, I think, get better in incremental ways for the customer as more companies recognise the competitive advantage this gives them.  We’ll see a few new things, and some ideas will fail (and that’s ok, failure is the overhead of innovation and the cost of progress) and a number of things will surprise us.

What do you think? What do you predict customers will see differently in 2015?

*The link takes you to a cool interactive tool by Google that shows how the purchase journey varies for customers in different market segments and countries. Fun to play with (if you like that kind of thing).

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How Big Data will change Marketing (part 1)

Big data imageIf Big Data delivers what it promises, then the implications for Marketing – and indeed, all of business – will be profound. Before we can understand what these implications might be, we first need to understand what Big Data actually is.

The promise of the new oil

Big Data, we hear, is “…the new oil”. It is the next big thing, the new realm of business opportunity, the them thar hills in which gold can be found. With Big Data, we are told, we can see flu outbreaks before they happen, tell how the stock market is going to move today and discover that you are pregnant before your family does.

Big Data makes big promises. But many of these promises have been made before, with, for example, data warehousing (and the famous beer and diapers story). What is different this time, and what difference will it make?

Consultants and technology companies have been beating the Big Data drum for some time, but there is little consensus of what the term really means.  If, for example, I am trying to build a data centre to handle big data, then naturally my definition will reflect the size and complexity of the data to be handled.

I believe, however, that most of us with a business perspective need a definition which enables us to think about the value and uses to which Big Data might be put.  My stab at doing so is below, borrowing freely from excellent recent articles by Hung Lee (Big Data is Not ‘Lots of Data’) and Alex Cocotas of Business Insider.

Big Data is not (just) big data

What makes Big Data interesting is not the the size of the data sets (although these can be mind-bogglingly big). The value of Big Data is much more about the kinds of data which it embodies, and (particularly) the uses to which it can be put.

Big Data is unstructured data.

Big Data is not that which fits neatly into a relationship database or which can be categorised by tags (although it may well contain data of this type).  Big Data is a hybrid mashup of different kinds of data such as geolocation, contextual data, telemetry, life events, video, demography, social media and more.  It’s messy, complex and has fuzzy boundaries.

Big Data is behavioural, not attitudinal.

It is about what people do, not what they think. Big Data is not, for example, about focus group findings or survey results.

Big Data is about small interactions.

Big Data might include transaction information, such as what is in our shopping trolleys – but this is a known game and is only an adjunct to the important stuff. Important stuff?  What we do before we put things into our trolleys.  Where we have walked. Whom we have met.  What we do for fun. What the weather is like.  What we are wearing. What everyone else is doing. The TV channels we watch. You know: the small stuff we do all the time.

Big Data changes.  All the time.

Big Data is gathered continuously, in real-time, often from millions of dynamic sources. This means that at any time, we can only have a snap-shot of this continuing river of data. By the time we look at it, it’s already changed.

Big Data is online,  mobile and the real world.  

Big Data is credible because Google and Amazon and (a very few) others have been able to farm and use complex online customer behaviour data to make serious money. Now mobile is changing the game. Those of us with smart phones use them everywhere.  We use apps to help us in the physical world.  We use services like GPS and geolocation which note everywhere we go.   Now when we turn on our mobile phones, we create data about our behaviour in the physical world in ways comparable with the data we create online. What do we call this melange of online, mobile and physical information?  Big Data.

Big Data is informational debris.

Big Data is what we throw off when we do other things.  When we stop what we are doing to fill in a form, or have our picture taken or scan some stuff to get ourselves registered or updated – that is not Big Data. Or if it is, it is only a small part of it.  Big Data is what we leave behind us when we play games, or take pictures, or move house, or phone someone up, or browse around a shop, or go for a run or change the channel. It is a side effect.

That’s my shot at defining it.  Does this work for you? What have I missed or got wrong? Let me know.

If Big Data keeps its promises, the implications for all of business – but especially Marketing – are profound.  I will explore some of these implications in my next post.

This series of posts arose as a result of a panel discussion earlier this week at IQPC’s CMO Exchange event at St Albans.  I had the pleasure of sharing the platform with Paul Blacker of BT and Michael Woodburn of Capital One, and it was admirably chaired by my old chum Vincent Rousselet, CEO of the Strategic Planning Society.   Our conversation offered a good range of views on these questions. These opinions I express here, however, are entirely my own.

Your competitors are not who you think they are

bad_spellers_untie_postage_stamp-p172016310883664861uuftb_216Customers don’t compare the online experience they get from us with that from our competitors. They benchmark instead against the best they have seen, regardless of sector. We have to understand this if we are to use customer experience to help us sell and keep customers.

Don Peppers is one of the pioneers of the customer experience industry. In a recent LinkedIn post, he  tells the story of a bad customer experience a colleague had with Stamps.com when trying to unsubscribe from their service.

The customer horror story, however, was less interesting to me than that he (like we all do) compared this experience with Stamps.com with that offered by another company – and found Stamps.com wanting.

That company was Amazon.

Amazon does not sell anything which Stamps.com sells.  Amazon is not seeking to take customers away from Stamps.com. I would be astonished to find that Amazon features in any strategy document which Stamps.com use to understand their competitive landscape.

In the traditional sense, they are not a competitor.

But when you think in terms of the customer experience, are they a competitor?

Damn right.

Customers do not compare the online experience they get with one company with the experience offered by competitors in the same sector. Instead, they compare their experience with the best experience they have had online, regardless of sector.

If we do not offer an experience  which measures up to the best experience which our customers have had elsewhere, then we will have unhappy customers.

It’s not fair, I know.  Customers are not even comparing apples with pears; they are comparing stamps with books.

This really matters.  Because if we aren’t aiming to be cheapest (and very few of us can, in the long-term) and if our market is crowded with me-too products with pretty much the same features (as in almost every consumer market sector), then how do we compete?

The experience we offer our customers, that’s how. When we make it easier, faster and more pleasant to buy and use our products, we win and keep customers.

If this is how we choose to compete, we need to understand that our ‘competitors’ aren’t our competitors.  As far as our customers are concerned, our competitors are everyone who is offering a service, or a sale, or an experience which follows the same grammar of customer engagement that we do. And if we aren’t competitive when compared with these, we won’t get or keep the customer.

Worse, as Don Peppers is showing, they will tell the World about how unhappy we have made them.

But, as Amazon demonstrates, if we choose to compete in this space, with the right attention and commitment, then maybe we could become the benchmark: and that is a very powerful place to be.

(Picture courtesy of Zazzle.com).

How Amazon turned a chore into a positive customer experience

five acesReframing the experience can make things better for customers.

About fifteen years ago, a client in the US told me how her company had improved the customer experience – by making their service worse.

Their call centre’s promise to pick up any customer call within three rings was key to the company’s competitive positioning. It was fine most of the time – but at peak periods, it was a promise they could not keep.  The delays weren’t bad – four or five rings at most – but they were breaking their customer promise. Result? Unhappy customers.

My client tried the usual things: rejigged rosters to provide extra agent cover, optimised call routing and, despite tight budgets, hired a few more agents to cover peak periods.

Ring, ring, ring, ring….Three-ring nirvana seemed as far away as ever.

Then an agent, at home on her time off, called to make an appointment with her doctor. Waiting on the line, she noticed – nothing.

More precisely, she noticed that she only became irritated by the delay on the line once she heard the ring tone. Waiting for the phone company to connect her call, however, she didn’t mind at all. She discounted this ‘dead time’ when she heard nothing as acceptable, while a ringing telephone line was a failure of service by the doctor’s receptionist.

Her company acted on her observation. They suppressed the first two rings on the line while the customer was waiting, so the customer thought that the call was still trying to connect.  Agents now had five rings in which to answer, while customers on the line heard only the last three rings.

The average time it took to answer the phone did not change. But the customer experience did. Customers were impressed by the speed of response they perceived: “Wow! You answered even before the phone even rang!” was a typical comment.

Was this sleight of hand? Perhaps. Did it matter? Perhaps not.  Customers got the service they wanted and were happy. Nothing wrong with that.

Nowadays, Amazon does something similar. Normally, paying for things online is a pain. We’ve filled our shopping cart and we want to order. So we have to sign in with user name and password, get out our credit card, type in the number and details, fill in the delivery address and wait for payment to be authorised.

Amazon’s great secret is that they get us sign in to browse their shop when we arrive. We do so happily to get offers and ‘Personalised recommendations.’  But this sign-in process also sets up payment and delivery. So we think we’re signing in for a personalised experience, but we’re signing in for payment.

So when we want to buy, we pay by ‘One-Click‘ and think how great it is (cycle time of zero, anyone?). We don’t associate the chore of signing in with the business of payment. Like my client, they are employing customer experience sleight of hand.  And it’s so good they licensed it to Apple to use on iTunes.

Customers hate waiting on a ringing telephone line and they hate signing in to pay.  By reframing how customers perceive such things, we can transform the customer experience.

Question: is there anything which your business does now which your customers hate? Could you could reframe this to make into a good experience?

And if you have to use sleight of hand, don’t worry: I won’t tell.