Category Archives: Retail

The Magnificent Seven Facts on B2C eCommerce in North America

The latest North American B2C e-commerce market report is out now. For my followers I took the freedom to summarize some “Magnificent Seven Facts on B2C eCommerce in North America” in a short blog.  The report covers United States, Canada and Mexico, but as well comparisons to Europe and Asia. According to this report, North American B2C e-commerce market is expected to reach $494.0 billion in 2014.

The Magnificent Seven Facts

  1. 122.5 million households in North America
  2. 336 million internet users in North America
  3. North America makes up 29.2% of the total global online sales ($1,552.0bn) in 2013.
  4. In terms of global B2C e-commerce, North America ranked third in 2013, behind Asia-Pacific and Europe
  5. North American consumers spent on average$2,116 online in2013. This is significantly above the global average of €1,280.
  6. With an average spending per e-shopper of $2,216, American consumers spent most online in2013. Canadians ranked second with an average spending of $1,577, while Mexican e-shoppers on average spent $1,133 online in2013.
  7. Canadians are more likely to shop mobile

Mobile Commerce: Canada Leads the Pack

Within North America, mobile commerce is most popular in Canada, with more than half of the online purchases per week being made through a mobile device. At 38.2%, Northern Americans still make their mobile purchases in the safe surroundings of their homes.

What are the barriers preventing mobile purchasing?

barriers mobile shopping north america

Free downloads available now

Would you like to find out more about global e-commerce? The free light versions of our Regional/Continental Reports can be downloaded here.

 

Share
Posted in Data Governance, PiM, Product Information Management, Retail | Tagged , , , | Leave a comment

Executive Tour – Retail Innovation in NYC

MF-Executive-NewYork-468x60p

Working with executives in retail, distribution and CPG has always been a passion for me and our team. Our MDM in NYC (February 24) is dedicated the theme of “Driving Value from Business Critical Information” and comes with special break out room from 10.30 am – 5.00 pm focussing on “Omnichannel & Product Information Management”.

Customer speakers include:

  1. How product information in ecommerce improved Geiger’s ability to promote and sell promotional products (Triple Award Winner) – Speaker: Mike Plourde, IT Director of Data and Analytics
  2. Harrods: Improving Customer Experience with Product Information – Speaker: Peter Rush, Head of Governance Planning

Informatica & Management Forum present:

Executive Tour – Retail Innovation in NYC

This time, I am proud to have a special partnership in place which allows you to visit an attractive list of retail stores in Manhattan: The list includes Bloomingdale’s, Target, Glossybox, This is Store, Indochino and much more. Did you know, re-inventing the store, was one of the hot topics at NRF, retailers big show early January.

Business partners of Informatica will get a discount for this Executive Tour and will also get free access to Informatica’s MDM Day. If you are interested in the store-tour using the discount for Informatica, please drop me an email.

 

Share
Posted in Data Governance, Master Data Management, PiM, Product Information Management, Retail | Tagged | Leave a comment

Digital Signage helps Reinventing the Store

Reinventing the store was one of the key topics at NRF. Over the last three to four years we have been seeing a lot push and invest for ecommerce innovation and replatforming ecommerce strategies. Now the retail, CPG and brand manufacturers are working on a renaissance of the store and show room, driven by digital. And there is still way to go.

Incremental part of the omnichannel strategy of our PIM customer Murdoch’s Ranch and Home Supply is digital signage for in-store product promotions. This selfie was shot with my dear colleague Thomas Kasemir (VP RnD PIM & Procurement) at the NRF booth of Four Winds Interactive.

IMG_5517

Four Winds serves about 5,000 companies worldwide and I would consider them as one of the market leaders. Alison Rank and her team did show case how static product promotions work and how dynamic personalized product promotions can look like, when John Doe enters the store.

John Doe’s Personalized Purchase Journey

John Doe and his wife are out and about in the city; with the advice from his son, John has created a pro-file on Facebook and Foursquare with his new generation smartphone enabling him to receive any special offers in his vicinity. Mr. Doe has voluntarily agreed to share his data for the specific purpose of allowing retailers to call to his attention any special offers in the area. As both of them have interest in visiting the store they respond to the offer.

At the entrance to the store he is advised to start up the special store app and is promised a “personalized shopping” experience. As John Doe enters the store, a friendly greeting appears on his digital signage screen: “Welcome Mr. Doe, the men’s suits are on the 3rd floor and we have the following offers for you.” Upon reaching the 3rd floor, the salesperson is already standing there with the right suit. The suit is one size smaller than usual, but it fits John Doe. After the fitting, the salesperson even points out the new women’s hat collection in the women’s department. Satisfied with their purchases, Mr. and Mrs. Doe leave the store.

For me it is clear assuming that the future of shopping will look something like this, due to the fact that all of these technologies are already available. But what has taken place? The reason why John Doe receives location-based offers has already been explained above; the point that needs to be made is that there is now the ability to link personal and statistical data to customers. By means of the app, the store already knows whom they are dealing with as soon as they enter the store. Or can messaging services be used to send an alert to a shop assistant that a A-Customer with high value shopping carts has just entered the store.

To this point, stores can leverage both personal information as well as location-based information to generate a personal greeting for the customer.

  • What did he buy? In which department was he and for how long?
  • When did he purchase his last suit(s)?
  • What sizes were these?
  • Does he have an online profile?
  • What does he order online and does he finish the transaction?

All of this analytical data can be stored and retrieved behind the scenes. 

Catch Me if I Want

The targeted sales approach at the point of interest (POI) and point of sale (POS) is considered to be increasingly important.  This type of communication is becoming dynamic and is taking precedent over traditional forms of advertising.

When entering the store today, customers are for the most part undecided. Based on this assumption, they can be influenced by ads and targeted product placement.  Customers are now willing to disclose their location data and personal information provided there is added value for them to do so.

Example from Vapiano Restaurant

A good example is the Vapiano restaurant chain. Vapiano restaurants take an extra step further than the tradi-tional loyalty card by utilizing a special smartphone app where the customer can not only choose the nearest restau-rant along with special offers and menu, but also receive a kind of credit after payment via barcode. After collecting 10 credits, the restaurant guest receives a main course for free on the 11th visit. Sound good? It sure does, and from the company’s perspective this is a win-win situation. These obvious benefits move the customer to disclose his or her eating habits and personal data. The restaurant chain now has access to their birth dates, which is rewarded as well. This data aggregation is definitely recommendable, since it requires the guest’s explicit consent and assumes a certain degree of active participation from the guest to be eligible for the rewards offered by the restaurant.

Summary

If John Doe allowed my as brand manufacturer in my showroom or as a retailer to catch him, companies will need to ensure that they are really able to identity John Doe wit this all channel customer profile to come up with a personalized offer on digital signage. But this needs to be covered in an additional blogs…

Share
Posted in Data Governance, Manufacturing, Master Data Management, PiM, Product Information Management, Real-Time, Retail, Ultra Messaging | Tagged , , , | 1 Comment

Getting Personal with Data as a Service (DaaS)

Getting Personal with Data as a Service (DaaS)

Getting Personal with Data as a Service (DaaS)

Last week, I spent three days at Retail’s Big Show hosted by the National Retail Federation (NRF) in New York City. This annual event gives retailers the opportunity to network with their colleagues from all over the world. In addition, they get the chance to interact with technology vendors that can help them improve their business.

From marketing automation to analytics software, there were countless technology offerings showcasing how to best assist the modern marketer in making every customer interaction personal. Throughout the week, I had numerous conversations with retail professionals about the importance of personalization in marketing and what it means to their organization’s future plans.

At the heart of their plans was the need to understand the data that they have today, and how to verify the data that they will inevitably acquire in the future. If it’s accurate, if it’s reliable, if it’s complete – customer data can fuel your ability to engage and interact.

The data driven marketer derives insight and ultimately provides a personalized experience by leveraging this valuable data for each customer.

And why is this important?

Well, according to McMurrayTMG, 78% of buyers believe that organizations providing a personalized experience are interested in building good relationships. But it all starts with accurate data.

Knowing who your customers are, how you can contact them, and what they are interested in are essential in order to engage with your customers. With the abundance of data available today, you have to figure that if you aren’t ensuring that your customer interactions are personalized, then your competitors are gaining ground. Every interaction, every correspondence counts towards a positive perception as well as increased sales and customer satisfaction.

By fueling your interactions with Data as a Service (DaaS) for accurate customer data, you will ensure that your customers have a personalized experience with your brand and ultimately accelerate your business.

Share
Posted in CMO, Customer Acquisition & Retention, Customers, DaaS, Data Quality, Retail, Total Customer Relationship | Tagged , , , , , , , | Leave a comment

Smarter Dummies, Connected Hangers and Personalized Mirrors!

Smarter Dummies, Connected Hangers and Personalized Mirrors

Smarter Dummies, Connected Hangers and Personalized Mirrors

With CES and the NRF Big Show just over and many exhibitors talking about the “Internet of Things” below I take a quick look at what is happening for retailers with the “Internet of Things”.

Consumer demand is driving the adoption of IoT as they embrace the new technology to improve health (Garmin Vívoactive), energy savings (NEST), safety (BeClose) and a better overall experience including shopping (beacons?). However, getting the balance between privacy, intrusion and relevance can be tricky for both the retailer and shopper.

While shoppers are willing to give up some level of privacy in return for personalization, I am not convinced most are ready of what the “Internet of Things” brings. I recently purchased a smart TV and was surprised when I was asked to accept terms and conditions before using, what are they capturing, how will it be used, will I see any benefits?  Retailers need to demonstrate value and trust to the consumer.

While RFID has been around for many years the next wave of intelligent “things” bring both opportunities and challenges. Retailers need to decide which ones truly enhance the shopping experience.

“Psst! It’s Me, the Mannequin. This Would Look Great on You.” (Rachel Abrams, NY Times)

Smart Dummies (mannequins) – Last year House of Fraser started rolling out beacon-enabled mannequins to engage directly with shoppers and passers-by. Shoppers within a 50-metre range will receive information from the mannequins, which may include details about the clothes on display, with links to make a purchase from a website, or details of where the outfit can be found in the store. The next step could link customer preferences, profile and past purchases and suggest matching accessories, check customers size availability or monitor how long they browsed and offer a digital coupon.

Connected Hangers – While you browse through the racks, real-time reviews are displayed on the hanger, size availability or images & videos displayed on screens showing the garment in use. Retailers can capture how popular an item is but never purchased.  Taking the clothes and hanger try on could provide personalized recommendation on shoes and accessories.

Personalized Mirrors – I recently read an article in Time (Dec 29th) about Rebecca Minkoff’s new store in Manhattan, where they installed a giant mirrored panel showing images of models walking down the runway. The panel acts as a mirror and touchscreen, where shoppers can order up a personalized fitting room, offering style tips based on their selection. This is connected to a mobile app that saves their browsing history and style preferences for their next visit. When a customer is ready to purchase a sales assistant takes payment on an iPad.

In future blog I will discuss how location based services are machine-to-machine technologies are impacting retailers and consumers.

Data Privacy

With so many devices connected and larger volumes of data captured this raises concerns around data privacy and security. In the past year we have seen too many stores on data breaches and retailers. While shoppers are prepared to share more information for relevance they expect you to keep it safe and secure. Retailers must have a solid data governance framework and process in place or risk losing the trust and loyalty of their customers.

Sensor Driven Analytics

The Internet of Things presents retailers with a wonderfully opportunity to understand and engage the customer like never before. However, retailers need to manage the explosion of data available through smarter devices to gain insight into shopper behaviours and preferences and turn into a more rewarding experience for the consumer.

However, before loading an analytics engine they need to ensure the data is clean, connected and safe. Without this any decisions made are flawed and will impact their brand and ultimately the bottom line.

Share
Posted in Customer Acquisition & Retention, Customers, Retail | Tagged , , | Leave a comment

Keeping the Customer Happy with a Great Customer Experience

Great Customer Experience

Great Customer Experience

Many retailers struggle to deliver a great customer experience to each and every customer at all times. There are so many things that can go wrong. You may fail to deliver on time, you might be out of stock, there might be no product information available or the product might not match description. A sales assistant may not be aware of current offers and assortments available through other channels, lack visibility into stock levels or the customers past purchase history, thus leaving a poor impression and possible lost sale. Delays when contacting customer service frustrates customers who are eager to share their experiences.

62% of global consumers switched service providers due to poor customer service experiences (Accenture Global Consumer Pulse Survey)

Issues with keeping everyone happy have been around since the beginning of trade and as trading has evolved, the underlying rule remains the same – keep the customers happy! Retailers who move beyond just selling to the customer and focus on creating the shopping experience customers want will see higher retention rates and increased spend per shopper.

Other factors like good quality of the products and competitive pricing play a huge role as well but taking care of the consumer is even more important. At the end of the day, shoppers have more options and opportunities to purchase from your competitors.

While multi-channel commerce has gown, many people are shopping not because they really need the products but because they like the experience of shopping. The better the experience is (which includes an amazing customer service) the more likely it is that the customer will come back and make a purchase in store or online. However, if they run into issues with the retailer, not only will they complain and never come back but they will tell their friends, damaging your brand and hurting the bottom line.

News of bad customer service reaches more than twice as many ears as praise for a good service experience. (Help Scout)

Today retailers realize the importance of great customer service and that’s why they train their staff to be friendly and helpful to the customers at all times. Studies have shown that people are reacting very positively to this kind of treatment and not only are they more willing to spend more money but also remain a customer a long a time.

People want to be treated right but they also want to feel important. That’s why retail businesses nowadays go an extra step and use technology and access more data like past purchases, preferences and trends to enhance the customer experience. Even if a customer had a bad experience smart retailers are leveraging customer insights to  turn any bad situation around fast. Customer service representatives can responsive to any situation with all the information they need in real time or a highly personalize offer can be delivered to their smartphone.

A 5% increase in customer retention produces more than a 25% increase in profit. (Bain & Co.)

Retailers also have access to different social channels where they can influence and respond to what their customers are saying about their services and products and can use this instant feedback to make changes quickly and precisely.

In today’s world retail businesses have a great advantage compared to the ones that were operating even 5-10 years ago and if they are prompt in addressing concerns they can minimize the negative affect on their operations very easily. Each satisfied customer is not only going to spend money but they are going to advocate for the retailer which is a very powerful thing in business in the long run.

That’s why today successful retail businesses are turning data into insight to make sure that any problems and concerns are addressed promptly and efficiently, and deliver the experience customers desire.

Share
Posted in CMO, Customer Services, Customers, Retail | Tagged , , , , | Leave a comment

Product Intelligence: How To Make Your Product Information Smarter

As we discussed at length in our #HappyHoliData series, no matter what the customer industry or use case, information quality is a key value component to deliver the right services or products to the right customer.

In my blog on 2015 omnichannel trends impacting customer experience I commented on product trust as a key expectation in the eyes of customers.

For product managers, merchandizers or category managers this means: which products shall we offer for which price? How is the competition pricing this item? With which content is the competition promoting this SKU? Are my retailers and distributors sticking to my price policy. Companies need quicker insights for taking decisions on their assortment, prices and compelling content and for better customer facing service.

Recently, we’ve been spending time discussing this challenge with the folks at Indix, an innovator in the product intelligence space, to find ways to help businesses improve their product information quality.  For background, Indix is building the world’s largest database of product information and currently tracks over 600 million products, over 600,000 seller, over 40,000 brands, over 10,000 attributes across over 6,000 categories. (source: Indix.com)

Indix takes all of that data, then cleanses and normalizes it and breaks it down into two types of product information — offers data and catalog data.  The offers data includes all the dynamic information related to the sale of a product such as the number of stores at which it is sold, price history, promotions, channels, availability, and shipping. The catalog data comprises relatively unchanging product information, such as brand, images, descriptions, specifications, attributes, tags, and facets.

product intelligence indix informatica

We’ve been talking with the Indix team about how powerful it could be to integrate product intelligence directly into the Informatica PIM.  Just imagine if Informatica customers could seamlessly bring in relevant offers and catalog content into the PIM through a direct connection to the Indix Product Intelligence Platform and begin using market and competitive data immediately.

What do you think?  

We’re going to be at NRF and meet selected people to discuss more.  If you like the idea, or have some feedback on the concept, let us know.  We’d love to see you while we’re there and talk further about this idea with you.

Share
Posted in B2B, B2B Data Exchange, PiM, Product Information Management, Retail | Tagged , , | Leave a comment

2015 Omnichannel Trends for Customer Experience

In my point of view, heavily influenced by the customers and analyst I am meeting, these 5 trends are impacting omnichannel commerce for better personalization and customer experience in 2015 and beyond.

Omnichannel Trends 2015

  1. Issue of the informed purchase journey:  A Google study (*Google ZMOT Handbook) shows that, on average, across all categories, shoppers use 10.4 sources of information to make a decision. This includes, among other things, watching TV ads, looking up manufacturer websites, talking to family and friends, reading reviews, and checking Amazon. Customers are increasingly visiting websites across multiple devices, and the final location where they make a purchase can be very different from the initial point of interaction. When do they have enough information to buy?
  2. Three levels of Trust : Customer expect three levels of trust – SOCIAL TRUST, PRODUCT TRUST and BRAND TRUST. Social trust: means what do my friends recommend? Conversions go up by 133%* when trusted people recommend products. Brands  and retailers can sell more with relevant information, including social data (aggregating and reusing). Sorry but this is again one more votum for tanking BIG DATA seriously.  I believe customer-centric organizations are going to use a combination of data management and big data analytics to improve the quality and accelerate the business value of their big data projects. In particular, companies will apply these capabilities to greatly improve their ability to acquire, retain and grow their customer share of wallet with more personalized marketing.  For example, one insurance company we work wants to better understand their customers, household and prospects through real-time customer and prospect profiling on Hadoop. This data management and big data analytics initiative will improve their marketing campaign effectiveness by targeting specific people with relevant offers. They will be able to answer questions such as:
  • How many of these people are customers vs. prospects?
  • Who else lives in this household?
  • Which products do they already have?
  • What relationships do they have with other customers, beneficiaries, prospects, agents?
  • Which offers have they responded to that we sent them in the past?
  • What life events, changes to address, income or employment have they experienced?
  • Which customers are likely to churn?

Product trust: which products shall we offer for which price? Or the customer wants to know if he buys the latest version of the digital radio or the cable. Companies need quicker insights for taking decisions on their assortment, prices and compelling contentr and for better customer facing service.

Brand trust: the brand experience is so important. Brands and retailers need to be more efficient when creating market ready products, with videos, content and all what creates emotions.

3. Store fulfillment & in-store experience will become a big investment area, and retailers will look to omni-channel solutions that can provide provide transparency into inventory to help manage customer expectations. Use the store as warehouse and ship from the nearest store. The use if digital devices and information panels will gain much more attention. Gartner predicts that by year-end 2016 more than $2 billion in online shopping will be performed exclusively by mobile digital assistants.

4. The mobile conversion: revenue spend on mobile is growing. Forrester Research projects sales from consumers shopping on mobile phones will increase to $38 billion this year and sales from tablets will hit $76 billion, or about $114 billion in total in the US. Most Online Shopping Still Happens on PCs.  95% of smartphone users say they’ve searched for local information. 90% of those users take action within 24 hours. 61% of smartphone users called a business after searching. 59% visited a local business after searching. But conversions on mobile devices need to be improved. With better and more relevant information – I call it commerce relevancy.

5. Virtual Reality is taking customer experience to the next level. Augmented reality was a first step, but I believe virtual reality (VR) will take it even further. I learned from my colleague Nicholas Goupil, that Samsung Gear by Oculus VR and similar products will change the game of gaming. What are the potentials for brands and retailers to enhance customer experience?

What are your expectations on 2015 omnichannel trends?

Let’s chat @benrund or face-to-face during NRF in NYC.

Share
Posted in Data Governance, Manufacturing, Master Data Management, PiM, Product Information Management, Real-Time, Retail | Tagged , , , | 1 Comment

Happy Holidays, Happy HoliData.

Happy Holidays, Happy HoliData

In case you have missed our #HappyHoliData series on Twitter and LinkedIn, I decided to provide a short summary of best practices which are unleashing information potential. Simply scroll and click on the case study which is relevant for you and your business. The series touches on different industries and use cases. But all have one thing in common: All consider information quality as key value to their business to deliver the right services or products to the right customer.

HappyHoliData_01 HappyHoliData_02 HappyHoliData_03 HappyHoliData_04 HappyHoliData_05 HappyHoliData_06 HappyHoliData_07 HappyHoliData_08 HappyHoliData_09 HappyHoliData_10 HappyHoliData_11 HappyHoliData_12 HappyHoliData_13 HappyHoliData_14 HappyHoliData_15 HappyHoliData_16 HappyHoliData_17 HappyHoliData_18 HappyHoliData_19 HappyHoliData_20 HappyHoliData_21 HappyHoliData_22 HappyHoliData_23 HappyHoliData_24

Thanks a lot to all my great teammates, who made this series happen.

Happy Holidays, Happy HoliData.

Share
Posted in B2B, B2B Data Exchange, Banking & Capital Markets, Big Data, CIO, CMO, Customers, Data Governance, Data Quality, Enterprise Data Management, Financial Services, Governance, Risk and Compliance, Manufacturing, Master Data Management, PaaS, PiM, Product Information Management, Retail, SaaS | Tagged , | Leave a comment

Virtual Reality – Bringing the Customer Experience to new Levels

Virtual Reality

Virtual Reality and Customer Experience

Did you know that a large quantity of Ikea’s catalog images do not showcase actual products? In fact, a large portion of the catalog’s images are computer generated. Technological advancements have come a long way in a very short time. It’s important to note that catalogs aren’t alone in benefiting from a computer-generated face-lift. Product commercials, such as this one, can be 100% computer made. While computers have come a long way in what they can let us do, there are devices which leverage this content and provide us with a level of immersion rarely seen before. I’m taking about Virtual reality.

While virtual reality isn’t new, the technology has recently been picking up speed in the tech world. With Facebook’s purchase virtual reality company Oculus earlier this year, the momentum behind the technology hasn’t ceased to increase. With the commercialization of a consumer ready virtual reality product next year, what does it mean beyond the realm of gaming? Is it significant for brand manufacturers and retailers? Will VR be a trend, or reserved solely to gaming or will it reshape how consumers all over the world interact with brands and products?

I was only recently made aware of those new technologies, by my colleague Nicholas Goupil. He introduced me to products such as the Oculus Rift and the Samsung Gear VR, which are products poised to participate in revolutionizing the gaming industry. While not a “gamer” myself, it was nearly impossible not to think about the commercial possibilities.

Gaming aside, what does it mean for brands and retailers? Could this new wave of VR products provide customers with experiences that will redefine product merchandising?

Some thoughts on use cases for Virtual Reality 

  • Travel and Hospitality – Become a globetrotter from the comfort of your home. (Japan example)
  • Real Estate – Walk thought a house as if you were there.
  • Test drive a new car’s interior from the comfort of your home
  • Movies: forget 4K resolution, how about full 360 degrees 4K real time recording and playback?
  • Sport events: experience replays or the game in full 360 degrees motion
  • Concerts: Have the best seat in the house (no pun intended)

Clearly, VR products like the Oculus Rift are still in development, with consumer products promised for 2015. With the company’s recent acquisition of Nimbus AR, a company focused on making the VR experience a more natural and interactive one, the future of such a product seem endless.

What are your thoughts and expectations with VR? Do you think it will be life changing for consumers and businesses? Rendering large volume digital assets is no longer a issue today. For me Virtual Reality will open total new ways to envision customer experience in 2015 and beyond.

Share
Posted in Master Data Management, PiM, Product Information Management, Retail | Tagged , | Leave a comment