While analyzing the survey results for my recent report on the state of customer experience management in India, I noticed a fundamental flaw in the way that Indian organizations approach reporting structures for their customer experience (CX) teams. About a fifth of the organizations we surveyed rely on their customer service department to lead the charge for CX initiatives.
This is detrimental to the growth of CX, as there are basic differences between the scope of work and the skill sets of the two teams. Specifically, customer service teams have limited capabilities and exposure across:
People. While both CX and customer service teams work toward enhancing the experience across the customer life cycle, the customer service team has a somewhat myopic view of customer engagement, focusing predominantly on handling client complaints and resolving queries.
Processes. Forrester defines customer experience as how customers perceive their interactions with a company. The contribution of customer service teams to this process is limited to supporting customer tasks in a few phases of the journey.
Tools. Customer service professionals are responsible for the experience delivered via multiple touchpoints, such as IVR systems, contact centers, and social media. However, other equally important customer interfaces, such as mobile applications, digital kiosks, and eCommerce platforms, fall outside their purview.
Chinese people are hypersocial in their lifestyle and daily work, and Forrester forecasts that 681 million of them will be using social media by 2019. Online Chinese are actively engaging with brands and companies on social media: 29 brands or companies on Sina Weibo and 32 brands or companies on WeChat on average. Chinese businesses have realized the importance of social for customer life-cycle management. While they’ve started using social to increase brand awareness — such as broadcasting on Sina Weibo — they can’t recognize potential customers in this one-way communication. They use public WeChat accounts to shorten response times to client service requests — but they can’t predict these requests in advance. To address these challenges, businesses in China are starting to use enterprise-class analytics tools for Chinese social platforms.
I recently had the pleasure of facilitating three customer journey mapping workshops for clients. For me, the most rewarding part of these workshops is when, all of a sudden, you see the light bulb go on for the participants. It can be the realization that their customer has to jump through an inordinate number of hoops to submit a simple service request or have to wait 5-10 days for repair. Or, when the workshop participants realize they have no idea what their customers are doing or thinking, but maybe they should.
Just as the light bulb moment can be different for each person, the insights they deem most valuable can vary, and include:
Ideas for designing future-state experiences. A group of participants from a retailer created a future-state journey map illustrating how customers could sign up for a credit card and rewards program while shopping in store. They identified scenarios for how store associates could approach customers with credit card offers without seeming intrusive, as well as appropriate opportunities to follow up with customers by email or mobile app if they chose not to enroll right away. These types of insights can then inform the design of the new credit card and rewards experience.
A sense of empathy for the customer. We ask workshop participants within the same organization to wear name tags because, not only do we not know them, but most of the time they don’t know each other. In one workshop, the organization was siloed, as most are, and each participant owned their own small functional part of the customer journey. But no one had insight into or ownership of the entire process. When brought together to analyze the health of the end-to-end journey, participants walked away with a shared understanding that what they were each doing individually wasn’t working for the customer as a whole.
Happy iPhone 6 day. If you're reading this you're proabably not standing in line hoping to get your hands on Apple's latest devices. My colleague Mike Facemire drove past the local Apple store in Back Bay last night at 1 A.M. on the way home from Logan airport and described the scene as "nuts". The line was completely around the block, in 40 degree weather no less.
Developers should pay attention, as there's more going on here than hipsters queuing for the latest shiny. Today Mike, Julie Ask, and yours truly published a research note for eBusiness professionals detailing the top ten ways to leverage Apple’s new tech. Central to our argument is that iOS 8 takes many steps to break down the barriers between custom 3rd party apps and Apple's mobile platform. Mobile developers used to be constrained to their own secure, sand-boxed containers with minimal access to sensors on the device and local storage, but separated from other custom apps. As a result, we saw development teams gradually move toward "least common denomiator" apps that saved money by using a common code base.
I recently interviewed a number of companies about their approach to customer loyalty. In each conversation I asked a variation of the question "How do you define and measure customer loyalty?" And what struck me is that while many companies define loyalty using various terms like share of wallet, length of relationship, engagement, and customer value, they often measure it using only transactional metrics. Now, there are various reasons for this. Some don't have access they to the data they need to gage emotional loyalty. Others don't have the analytics capabilities or resources they need to pull the pieces together. But loyalty if multi-faceted, complex, and has emotional and rational aspects that aren't mutually exclusive, and certainly can't be reduced to a single metric.
So what should you do? First, heed my rallying cry: It's time to push past purchase as a proxy for loyalty. Second, Forrester can help. Loyalty may be difficult to measure, but it's not impossible. My latest research report provides a framework that buckets loyalty measurement into four, cooperative levels:
Programmatic measurement assesses loyalty program health. These metrics explain how the loyalty program grows in size, scope, and activity level over time. Sample metrics include enrollment rates, offer response rates, and program usage.
Purchase measurement quantifies the customer relationship. These metrics explain how the loyalty strategy improves customer profitability. Sample metrics include average order value, frequency, and basket assortment.
“A unified platform for content, community and commerce.”
“A complete set of integrated solutions helps you maximize and measure your impact in more ways than ever before.”
“Everything you need to deliver unique and personal customer experiences.”
Unified. Complete. Everything you need. These quotes are pulled directly from the marketing materials of some of the biggest players in the digital experience delivery space. One piece of software that addresses all of your company’s needs in delivering top-of-the-line customer experience. Sound too good to be true?
Yeah. We thought so too.
Vendors are piecing together discrete capabilities to form what we at Forrester call digital experience delivery platforms, which aim to manage, deliver, measure, and optimize experiences consistently across every digital touchpoint. Vendors from content, commerce, and marketing backgrounds are playing in this space, and Forrester clients increasingly mention them together when considering a vendor to act as their delivery backbone (a year ago, we certainly wouldn’t have heard IBM and hybris mentioned in the same inquiry for non-transactional needs, as we did recently).
As I wrote in my previous blog post and report on The Data-Driven Design Revolution, the digitization of customer experiences – both online and in physical environments – has greatly expanded the depth and breadth of customer data available. This abundance of data has profoundly changed how experience design teams use and manage customer data. Its impact, however, doesn’t end there. This newfound abundance of customer data also fuels new business pressures and experiences. Chief among them being:
Organizational velocity is the new competitive differentiator, driving experiences to operate in real time, all the time. The speed with which companies can convert customer data into insights and insight into action is now a critical differentiator. Companies can no longer rely on linear approaches to data analysis — spending six months to gather data on a problem, many more months to analyze it, and even longer to act on it. Doing so will cause companies to bleed customers away to more nimble competitors. As Marc Andreessen recently tweeted, “Cycle time compression may be the most underestimated force in determining winners and losers in tech.”
Blogged in collaboration with Samantha Ngo, Senior Research Associate, serving Customer Insights professionals.
You’ve heard us saying a thousand times: the buzz about big data isn’t about the amount of data you’ve collected; it’s how you digest that data and turn it into actionable insights. With the revamp to Google Analytics’ (GAs) benchmarking, Google is taking the next steps in allowing us common folk to process data in a platform with a simple UI, built to enable you to draw insights to catalyze actionable improvements to your marketing program.
Google’s vision is there. GAs extended benchmarking capability – available to free and premium users - offers some sparkly new features such as 1600 industry categories (previously 26), size buckets, and location filters that allow for basic segmentation; and, the tool can automatically place you within one of these categories according to your web traffic, etc. Also, you have to give to get: Opting out of allowing Google to collect your information anonymously means you won’t have access to benchmarking features. Given GA’s huge deployment footprint — we’re talking about big time big data and a great opportunity for firms of all sizes and verticals to compare themselves to relevant markets.
But as you excitedly dive into Google’s benchmarking big data lake you should consider that;
This isn’t quite ready for enterprise. For the moment the benchmarks can only be viewed via Google reports; and digital marketers will not be able to suck this benchmark data (via APIs etc..) into their favourite dashboarding or BI tool.
I admit it; I’m a sports junkie. And, this is usually one of my favorite times of the year — the first few weeks of the NFL season. But this year, it’s been more about how poorly the NFL is managing what happens off the field than it is the excitement of what’s happening on the field of play.
Somehow the NFL has forgotten what its carefully built brand stands for. It's forgotten that every experience fans have with its brand — including players’ behavior — makes a difference. And it's lost touch with what matters to its customer base.
With a serious case of misjudgment, the NFL missed the opportunity to have its brand set an example and agenda for the rest of the country to follow with a no-tolerance stand on domestic violence. Instead, the deplorable way it's handled the Ray Rice domestic violence incident as well as others that have since come to light has damaged the carefully crafted NFL brand image, reputation, and ultimately overall success of its $6 billion business. So what can CMOs learn from the NFL experience to avoid missteps and instead build a strong and resilient brand?
Read my new report “How To Build A Strong B2B Brand” (subscription required) to help you avoid the pitfalls the NFL fell into. Expanding on Tracy Stokes' work in our brand experience playbook, my new report applies Tracy’s work to the unique challenges B2B marketers face in building, growing, and managing customer-centric brand experiences.