Chat as a customer engagement channel is being used more widely today than ever before. All demographics use it widely, even the Older Boomers (ages 57 to 67) and the Golden Generation (ages 68+). Users are satisfied with chat interactions as they can be less painful than a phone call or a self-service session gone awry. Proactive chat — triggering of chat invitations based on a predefined set of visitor behaviors - is also on the rise, with 44% of US online consumers saying that they like having a chat invitation appear to help answer questions during an online research or purchase, up from 33% in 2012 and 27% in 2009.
I cut my teeth as a data analyst helping brands communicate more effectively—building segmentation and targeting models that differentiated contact frequency, offers, and messaging across a brand’s customer base. But in the face of today’s more empowered customers building static scoring models and relying on batch-based campaigns is insufficient to win, serve and retain customers. Today most enterprises rely heavily on technology to help them interact with customers across channels, and as we evaluated in the newly published Forrester Wave: Cross Channel Campaign Management, Q3 2014, brands have several compelling choices.
We identified, researched, and scored solutions from nine vendors: Adobe, IBM, Infor, Pitney Bowes, RedPoint Global, SAP, SAS Institute, SDL, and Teradata. Our approach consisted of a 41-criteria evaluation; reference calls and online surveys of 96 companies; executive briefings; and product demonstrations.
We identified four leaders in this mature, but evolving category. What sets leaders apart?
Depth of cross-channel capabilities. Leaders consistently received high scores in cross-channel data integration capabilities, which includes cross-channel customer identification and centralized response history management. But the purpose of collecting this data is so marketers can make smarter—more customer obsessed—decisions. Not surprisingly then, leaders also receive high marks in areas of interaction management such as cross-channel decision management and real-time analytics.
I'm moving into covering the greater CRM space, yet still retaining a deep focus on customer service technologies. Now-retired analyst extraordinaire, William Band and I put together our top trends for CRM in 2014. These trends are all about leveraging strategies and technologies for better understanding, connecting with, serving, and delighting customers. You can access the full CRM Trends Report for 2014 here.
Trend 2: Enterprises Will Embrace Tools That Create An Outside-In Perspective. To make meaningful improvements, organizations must align their customer experience ecosystems. That requires understanding customers' deep needs, viewing interactions from the customer's perspective, and socializing customer insights - and organizations will embark on this journey in 2014.
In the Age Of The Customer, executives don’t decide how customer-centric their companies are – customers. In an attempt to move the needle on customer service operations, in order to keep customers satisfied and loyal to your brand, these are the top trends that you should be paying attention to. You can get my full report here.
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Trend 1: Customers Demand Omnichannel Service
Customers want to use a breadth of communication channels for customer service. Across all demographics, voice is still the primary communication channel used, but is quickly followed by self-service channels, chat and email. In addition, channel usage rates are quickly changing. Customers want consistent service experiences across these channels. They also expect to be able to start an interaction in one channel and complete it in another. In 2014 and beyond, customer service professionals will work on better understanding the channel preference of their customer base, and guiding customers to the right channel based on their on the complexity and time-sensitivity of their inquiry.
Trend 2: Customer Service Will Adopt a Mobile-First Mindset
Today's news of Verint'sintent to acquire KANA ushers a new wave of consolidation in the greater customer service space. Today’s customer service technology ecosystem is complex and comprised of a great number of vendors that provide overlapping and competing capabilities. I’ve previously blogged about what these critical software components are. In a nutshell, the core capabilities needed for customer service include:
Routing and queuing: providing the ability to route and queue an inquiry – whether voice, digital (ex. email, chat), or social to an agent or a group of agents
Agent desktop/case management: Allowing cases to be created, workflowed, and resolved.
Workforce management and optimization: Allowing agent interactions with customers to be monitored for quality; allowing agent scheduling, forecasting, performance management, coaching, learning etc.
Adobe Cesareans Cross-Channel From The Email Market
Image Source: Ronald Grant Archive
Over the summer, we were all treated to an abundance of headlines proclaiming that Adobe, Oracle, and Salesforce were engaging in a marketing cloud war. Yet the relevant acquisitions — Neolane, Eloqua, and ExactTarget, respectively — only engaged in border skirmishes, since each focused on the distinct, yet adjacent, markets of campaign management, B2B marketing automation, and email marketing. Indeed, each of the strategic acquirers either already had partnership agreements in place or agreed to partner on the heels of the acquisitions.
I can’t tell you how excited I am about how the London event is shaping up.
On second thought, I can tell you. Read on!
This year’s theme is “Boost Your Customer Experience To The Next Level.” What’s that about? Well, we know from our research that companies are at wildly varying levels of customer experience maturity, ranging from not having gotten started yet to pulling even further ahead of competitors through CX differentiation. That’s why we’ve tailored this event to show attendees the one sure path to CX maturity and provide detailed guidance on how to advance along that path.
Good customer service is the result of the right attention to strategy, business processes, technology, and people management. This seven-post series focuses on customer service technology and explains the what, why, how, and when technology questions.
Part 1 reviewed the customer service technology ecosystem.
Part 2reviewed the challenges caused by the complexity of this technology ecosystem.
Part 3 reviewed the tactical outcomes of poor customer service.
Part 4focused on the ways that the customer service technology ecosystem is changing.
Let’s now focus on the how we categorize customer service technologies by their maturity and business value delivered.
It is easy to get caught up in the source and target paradigm when implementing master data management. The logical model looms large to identify where master data resides for linkage and makes the project -- well -- logical.
If this is the first step in your customer MDM endeavor and creating a master data definition based on identifying relevant data elements, STOP!
The first step is to articulate the story that customer MDM will support. This is the customer MDM blueprint.
For example, if the driving business strategy is to create a winning customer experience, customer MDM puts the customer definition at the center of what the customer experience looks like. The customer experience is the story. You need to understand and have data points for elements such as preferences, sentiment, lifestyle, and friends/relationships. These elements may be available within your CRM system, in social networks, with partners, and third-party data providers. The elements may be discrete or derived from analytics. If you only look for name, address, phone, and email, there is nothing about this definition that helps determine how you place that contact into context of engagement.
Ultimately, isn’t that what the business is asking for when they want the promised 360-degree view of the customer? Demands for complete, relevant, and timely are not grounded in the databases, data dictionaries, and integration/transformation processes of your warehouses and applications; they are grounded in the story.
So, don’t start with the data. Start with the story you want to tell.