Since the dawn of the computer age, engineers and designers have had to consider how humans can, and should, interact with new technology. They designed and implemented interfaces that altered our mental models for exchanging information; we had to learn novel symbols, workflows, and behaviors in order to interact with these new platforms. Basically, we conformed to the computer, not the other way around. Yet over the last few years, a new service has emerged that represents a departure from this norm: the chatbot, a digital experience that replicates and automates the medium of human conversation.
Three Benefits of Automated Conversation
Conversation is the new interface. We now spend more time messaging and chatting than on social networking applications. Smart businesses have capitalized on this behavioral shift by supporting chat, messaging, and text channels for marketing, sales, and customer service. However, it’s difficult to scale a one-to-one communication operation. This is where chatbots come into the picture.
As automated chat interactions, chatbots can essentially exist wherever human-to-human dialogue is the best way to exchange information and accomplish an assignment. The best way to experience the benefits of this kind of automation is to focus on the conversations that are already in play with your customers. Oftentimes, this starts with customer service. Here is where you’ll see an immediate impact:
Faster Response Times: Chat and messaging work best when someone can immediately respond, not when customers are waiting in a queue because agents are tied up. With a chatbot, each message is seen and responded to, and your most common questions are quickly addressed. Further, by allowing chatbots to handle initial information gathering, agents are able to join and resolve conversations faster if escalation is needed.
Better Agent Utilization: No one wants to answer the same question over and over again. Chatbots remove basic, low-level questions from the workload. By reducing the number of messages your agents receive, you will increase the efficiency of your support operations and be able to focus on the more complicated questions and tasks.
Data on What Customers Need: Chatbots automatically collect and analyze your customers’ questions and issues. Instead of manually reviewing conversations or asking agents for anecdotal insights, you can review organized and aggregated intent data.
Getting Started With Chatbots
If you think you’re ready to automate and streamline the interactions you’re already having with customers, I recommend starting with these skills to experience the core benefits:
Five to Ten One-Touch FAQ Answers: Focus on supporting your most common questions that can be addressed with one response. You can direct customers to an FAQ article, or deliver a conversational answer directly.
One Common Workflow: Similar to the above, there are certainly interactions that require authentication or simple lookups from another data source; these aren’t hard to tackle, just usually require manual attention. Verify, authenticate, and pull in data to automate simple workflows. If you’re an e-commerce business, “Where is My Order” or “Return Status” are great, universal examples.
Easy Agent Takeover with Routing: Once a chatbot cannot answer a question or resolve an issue, make the handover process to human support quick and painless. Better yet, ask a few questions just prior to the handover to give agents context for the conversation and route to specialized teams.
Natural Language Processing: Natural language processing and machine learning — the “AI” of conversational AI — make it possible for your bot to understand and respond to customer intent, not specific keywords. This allows the bot to keep up with the way each customer thinks, communicates, and switches topics, ultimately leading to higher understanding and better resolution rates across all conversations.
Want to learn more about how chatbots can transform your customer experience? Check out how Kustomer powers intelligent self-service here.
In this episode of the Customer Service Secrets Podcast, Gabe Larsen is joined by two CX leaders, Michael Miller and Vikas Bhambri, to discuss managing customer expectations during a global pandemic. Both Michael and Vikas have had to adapt their teams to the new CX issues spawning from the COVID-19 pandemic. Learn how these leaders have successfully managed customer delivery expectations during COVID-19 by listening to the podcast below.
Simple Tricks to Earn Customer Loyalty
It’s no secret that COVID-19 has greatly impacted businesses across the globe. As a result of these uncertain times, a new customer has risen, the highly anxious user. In response to this, companies have had to diversify their CX tactics to keep up in the new, highly anxious user arena. To help businesses keep up, Chief Product and Strategy Manager at Convey, Michael Miller dives into three simple ways to earn lasting customer loyalty that will continue after the pandemic. The first is setting expectations for product arrival. Second, frequently providing status updates to the customer so they have an up-to-date understanding of product handling and delivery time. Lastly, the typical customer wants flexible delivery options. Various businesses have opted for curbside pick up and home delivery instead of in-store shopping. Michael concludes, “So being early, setting expectations, communicating frequently, those are the things that we are seeing not only customers expect, but the companies that do well are going to earn loyalty that’s going to carry on well beyond this period.” Businesses would do well to implement these three simple tricks to retain customers long after the pandemic is over.
SVP of Sales and CX at Kustomer, Vikas Bhambri sets the standard high for other CX teams. Vikas understands that customers are happier when they feel their needs are being handled in an effective manner. He says this is accomplished through setting delivery expectations with honesty and by being available to solve customer’s issues promptly. He adds that the concept of too much communication between the agent and the user simply doesn’t exist in the realm of CX. Proactive communication happens when product and order updates are sent at each relevant step. If this is too much communication, Vikas explains, “Give them the option to opt out. But otherwise at every juncture that’s relevant, I would make sure that I was proactive with my communication.” By showing up and being openly available, agents are better able to get to the root of the customer’s issues in a timely fashion. The more openly a business communicates right now, the better.
The Role of AI in CX
Recently a controversial concept, AI, has come to the forefront of the CX discussion. While not completely replacing the importance of human-to-human interaction, AI has infiltrated the service industry through easing the roles of CX agents by better filtering user issues. With the new COVID-19 business-scape, highly anxious customers have been on the rise and the burden of customer care agents has been significantly increased to the point where they are overwhelmed. Companies are integrating AI into their CX to get a better handle on customer care. Michael has deployed an AI program at his company to help catch carrier delivery problems before they happen. This AI is helping meet the new customer expectations previously mentioned and helps their business have proactive communication. To further explain his AI integration, Michael emphasizes:
When you can reach out to the customer, you can reassure them, you can appease them, you can reset expectations, you can talk to the carrier about the issues. So it’s really for us all about identifying stuff that the carriers aren’t telling you and that you can’t otherwise as explicitly see in the network so that you can get out in front of these issues and create better customer experiences. That’s the biggest place where we’re deploying it.
Companies can reach out to their users with AI and filter their needs so their CX agents have a better handle on incoming customer situations, resulting in happier and more loyal customers.
To learn more about how to manage customer delivery expectations and how to create lasting customers, check out the Customer Service Secrets podcast episode below, and be sure to subscribe for new episodes each Thursday.
You can also listen and subscribe to our podcast here:
Full Episode Transcript:
Managing Customer Expectations Like a Pro with Mike Miller and Vikas Bhambri
Intro Voice: (00:04)
You’re listening to the Customer Service Secrets podcast by Kustomer.
Gabe Larsen: (00:11)
Welcome everybody to today’s broadcast. Today we’re going to be talking about a couple interesting topics, but specifically, how to manage customer delivery expectations during all of these challenging times. And to do that, we brought on Michael Miller, who’s currently the Chief Product and Strategy Officer at Convey, and then Vikas Bhambri the SVP of Sales and CX at Kustomer. Guys, thanks for joining. How are you?
Vikas Bhambri: (00:37)
Thanks for having us.
Michael Miller: (00:39)
Doing well. Thank you.
Gabe Larsen: (00:39)
Yeah, why don’t we just take a minute and have you guys tell us a little bit about what you do and the companies that you work for. Mike, let’s start with you.
Michael Miller: (00:49)
Sure. Hi, I’m the Chief Product and Strategy Officer at Convey. We are a delivery experience management platform, and what that means is we help some of the largest retailers in the world with a set of tools all across the buyer’s journey, all geared towards creating a better customer experience and better delivery outcomes.
Gabe Larsen: (01:07)
Love it. Vikas, just take a second.
Vikas Bhambri: (01:10)
Sure. Vikas Bhambri, head of Sales and Customer Experience here at Kustomer and we are a customer service CRM platform that enables brands to engage their customers regardless of channel, with an optimal agent experience. So really excited to have this conversation today.
Gabe Larsen: (01:31)
Yeah guys, this is such a fitting conversation. Let’s start big picture, and then let’s dive into detail. Vikas maybe let’s start with you. As we see the current environment changing, what are some of the trends, challenges that customer service organizations are facing?
Vikas Bhambri: (01:47)
Well, look. We just went to something that’s never been seen before. In fact, Mike and I were talking earlier in the week and I think one thing that really resonated was Mike telling me that we are at e-commerce projections of 2022 level here in 2020 because of the accelerant called COVID-19. Right? Because all parts of the country and really across the globe, we have moved to a pure delivery model, right? If I just think about my own experience, I haven’t been to a grocery store now in five weeks here in New York, we are getting literally everything delivered. Flowers for my wife for our anniversary, cakes, grocery items, prescriptions. So we’ve fundamentally transformed the way we shop and interact with brands, in the last 30 to 45 days. What that does for the brand is it’s created an unprecedented opportunity and some simply can’t handle it, right? Because they were not built. I was talking to a CEO of a food delivery company the other day who said that his business has grown 10,000%. 10,000% through COVID-19, which if you told any CEO of a company, “Your business is going to grow 10,000%,” he would probably, he or she would probably jump for joy. Not if you’re not set up –
Gabe Larsen: (03:24)
Yeah, that’s right.
Vikas Bhambri: (03:27)
– overnight. So what’s happening for a lot of these people, if you go to their websites, they are taking, either some of them have gone to full transparency. “We can’t take any more orders.” Which I think is commendable, believe it or not. Right? Be honest with your customers. Some, unfortunately, are taking orders and then on the back end, they’re saying we can’t fulfill them after the fact, or after you submitted your order. Now you realize orders are out seven, ten days. And then the other thing that’s happening is, there’s a heightened level of tension in the consumer base. So when I order something, I used to order something from Amazon and just sit back. It was up the next day, two days later, whatever it is. Now I’m hitting refresh because I’m worried about feeding my family. Like, “Where’s my order, where’s my order?” and so that’s the new norm, right? Both on the brand side with their experience, as well as consumer expectations, is people have a heightened level of anxiety and are really expecting brands to live up to that brand promise, which it’s hard to do when your business can grow ten thousand percent.
Gabe Larsen: (04:37)
Yeah. I love that. I mean, the refresh on the Amazon order, I didn’t mean to laugh, but I know the feeling. Mike, what would you add to that?
Michael Miller: (04:49)
I think that’s all 100% accurate and we’re seeing it really all the way through the supply chain, which is under enormous strain. So with this spike and shift to e-com, just some data that we’ve seen across our network, on-time delivery percentage at an aggregate level has slipped from about 90% to 70% over the last two months. We’ve also seen a spike in exceptions, meaning delivery problems of almost 200% over the last month. So the issues that are happening all the way through the network that is under strain and how that manifests and sort of miss customer expectations, it’s pretty dramatic.
Gabe Larsen: (05:31)
Wow. Wow. So basically, from a data perspective, if you had to pin it, are companies actually meeting expectations when it comes to delivery during COVID? It sounds like there’s struggles; that the supply chain is having problems.
Michael Miller: (05:46)
Vikas Bhambri: (05:50)
Mike, you’ve probably seen this because I noticed something I’d seen for the first time, the other day. As I was mentioning, I bought a cake online, first time ever, cakes being delivered. And when I went to see the tracking, basically it was a tracking link to UPS and they had said that due to things beyond their control, orders were being delayed and I actually got my cake a day later than what was intended. What are you seeing from that side? Because it’s interesting. I think the delivery functions are also having their own issues, which impacts the brand doesn’t necessarily control that.
Michael Miller: (06:32)
Yeah, absolutely. So the carriers in general, and we have relationships with pretty much every carrier in North America, and they are absolutely straining to keep up with the overall surge of demand. And you see that again and slippage and on-time delivery percentage. The bigger carriers like FedEx, UPS have actually started tracking COVID related exceptions specifically, and reporting on those and those are through the roof. Week over week as you might imagine. And all of that manifests in if a retailer made their delivery promise, that the carriers are having a hard time adhering to that, that is a missed expectation and that’s where it starts to hit your world with the, “Where is my order?” calls and those kinds of experiences.
Gabe Larsen: (07:20)
Wow. Do you feel like there are certain, as you’ve looked at the data and you see different companies, are there places or industries that are excelling at this? Actually doing it right? And if so, what are some of the things, do you feel like they’re doing well to combat this?
Michael Miller: (07:40)
Yeah. I’ll jump in. We actually do a lot of customer surveying and we’ve actually ratcheted it up during this period. And, we hear pretty consistently that customers at least, are looking for three things and the first is setting an expectation around when something is going to arrive. That is harder to do today than it has been historically, but that is absolutely expectation. They want frequent updates as early as possible as to when that’s going to change, if it is going to change. And then lastly, they’re looking for flexibility about delivery options. So, this surge in people who may not want to go into a retail environment grocery or otherwise, and so the rise in curbside delivery we actually saw early on during the quarantine periods a spike in return to senders because people were trying to deliver things to offices in locations that were no longer open. So being early, setting expectations, communicating frequently, those are the things that we are seeing not only customers expect, but the companies that do well are going to earn loyalty that’s going to carry on well beyond this period.
Gabe Larsen: (08:53)
I love it. So frequency, communication, flexibility is some of the key themes you’re finding different companies are doing in order to be successful.
Michael Miller: (09:00)
Gabe Larsen: (09:00)
Vikas, on your side, and then I want to come back to Mike on something. But that’s on the delivery side, but if I’m a CX Lead, I’m a customer service leader. How do I keep up with these changing expectations, especially as it relates to delivery?
Vikas Bhambri: (09:17)
Sure. I can’t even imagine the stress they’re under. I think number one is the more information you can give to customers. It goes back to the transparency I said, right? Which is, ideally you’d like, your brand to kind of take the step, the extreme step of maybe saying, “Look, I can’t take on any more orders,” but I know that’s difficult, right? At the end of the day, this is also an opportunity for a lot of brands to acquire customers and acquire customers away from Amazon because people are looking for new options. So I can’t expect anybody to take the stance of, “I’m not going to take on any new customers,” but if you are going to do that, right, who am I to ask? Unless it’s me. But if you are going to take on those new customers, right, and then they are going to submit orders, then I think really kind of owning up to the transparency. So when they come to your website or they engage in your portal or whatever it is, being able to see real time status updates on where their order is in the process. Is it still being packed, right? If it’s out, is it out for delivery? And if it’s out for delivery, where is it? So I think that piece of it, then look, you’re still going to have this heightened level of tension in your consumer base. They are going to reach out to you. Be available across channel. Right? Don’t make it so like, “I gotta go email you,” because nobody really trusts that you’re going to get back to them in a timely fashion. Be available in real time channels, like chat, the voice channel. Right? And if they’re going to go to social media and rip on you because you’re not giving them information, be there to answer their call there. Now when your agents then are engaged with them, let’s make sure they have the data because that’s the worst thing that can happen for a poor agent is, “Now I’m dealing with this very frustrated customer who’s asking about the flowers, the food, the cake,” whatever it is that they’ve ordered from you, and you don’t have the answers. And so you’re sitting there going, “I wish I could help you, but I don’t know where your order is.” Right? But here’s where the brands that are going to separate themselves from the rest of the pack are the ones who are proactive. The ones that reach out to you to keep you abreast of where your order is. So you don’t have to come to me. I’m sending you text alerts, I’m sending you emails, right? I’m letting you know where your order is. And then if there is any change in that, I’m also letting you know, to let you know that you can make a change. Let me give you a really quick story. Went out and ordered a ton of groceries from a delivery provider and at noon that day, I got an alert that your shopping cart is being packed. I’m like, awesome. Right? Food’s coming. I’m super excited. Five hours later, still no delivery. I go into a panic. We were running pretty low on some supplies. I went to another provider and bought groceries. At 10 o’clock at night, that original grocer delivered. Now I’m sitting there with two X because the other person also fulfilled their order. So I went from being really worried about food supply to now I’m sitting on so much food that I’m kind of worried that I’m taking away from the overall supply chain and I’ve got stuff that’s going to spoil. And so if you had just kept me posted as to where my stuff was, day one with that original order, I never would have gone out and doubled my spend unnecessarily so –
Gabe Larsen: (13:09)
You went to a competitor, right? Or went to another person, right? When it comes to your experience and your value. Do you feel like, you guys, that there is best practice when it comes to communication? What is too little right now and what’s too much? I mean, it sounds like Vikas, you experienced too little. Is it more [inaudible] does it pick up during and then once it’s delivering? Any tactical recommendations there?
Vikas Bhambri: (13:35)
Sure. I’ll start and I’ll let Mike chime in. But from my standpoint, especially in a situation like this, you can not take the position that you are over-communicating. In fact, let the consumer tell you, “You know, what, I’m going to unsubscribe or stop sending me alerts.” I’d be shocked in this event, during this event, if that would be the case, but give them the option to opt out. But otherwise at every juncture that’s relevant, I would make sure that I was proactive with my communication.
Gabe Larsen: (14:10)
I like that. Mike, anything you’d add?
Michael Miller: (14:12)
I mentioned our consumer surveys. We’ve got a data point that says 68% of consumers explicitly want more frequent updates than they did pre quarantine. So, I think absolutely the point is right. Early and often should be the bias and I think that’s what customers are looking for right now.
Gabe Larsen: (14:32)
Yeah. I’m just amazed at some of the changes companies have had to make in order to facilitate some of this. I’ve got a friend who, I think you highlighted it Mike, he closed down obviously his retail shop, and now they do tons of business curbside, but I love that flexibility. I like that frequent communication. Times have changed. We got to change it. One other thing I wanted to kind of dive into is obviously artificial intelligence is a topic of conversation and has been for a while, but boy does it feel like it kind of moved into fourth gear, fifth gear here as companies are looking for more ways to do things with less. As you think about the supply chain, as you think about the customer experience, how can AI start to infiltrate and make things better for us? Vikas, let’s start with you.
Vikas Bhambri: (15:20)
We just rolled out the biggest stress test to any customer service operation that I’ve witnessed in 20 plus years, right? Like I said, the level of anxiety, the level of expectation of volume of inquiries, right? So for every one order now people are seeing four to five inquiries coming in or tickets, or however you want to designate it. But basically customers reaching out, right? Four to five X, what is the traditional inquiry rate per order. So that’s significant and your customer’s care operation is not set up to handle that volume. And guess what? It’s really hard right now to go out and hire more agents because it’s hard to hire them. It’s hard to recruit them. It’s hard to train them. So you’re kind of making it, exacerbating the challenge. So this is where artificial intelligence can be a really powerful solution in this time. So what we’ve done at Kustomer, we kind of rolled out our Customer IQ Suite, and this allows a number of key things. One, that initial self service that I was talking about before for customers to be able to self serve and answer some of their own questions. For you to update them with your policies and procedures. And you need to be nimble. It’s not going to be static, right? So you can’t go to IT and ask them, you need a three day turnaround on updating something. You need to put it in the hands of the business users, right? Every time, if you’re, for example, an airline and you’re going to constantly be tweaking your refund policy, right? Put it in the hands of the business users to update those knowledge based items, which then get passed on. But then when the customer comes to you, how do we prioritize those requests? So using intelligence to then route those inquiries. If I’ve got an order that was delivered two days ago, and Mike’s got an order that is out for delivery right now, let’s make sure we prioritize Mike because Mike is probably really concerned about where his order is, right? Over Vikas, who got it two days ago and maybe was like, “Hey, you forgot to check.” Right? So being able to do some really cool things like that, using artificial intelligence, then when the agent gets engaged to help them suggest next best action. So yeah, if you didn’t have an AI strategy before, now’s the time because I know people are like, “No. It’s going to take me time. It’s going to take years. I don’t have the expertise.” There’s some really quick things that you can do to fundamentally change how you operate in this environment.
Gabe Larsen: (18:13)
I like that idea that [inaudible] AI basically from that customer journey [inaudible] makes it better. A little more easy. A little more [Inaudible] for the customer and for the brand. Mike, what would you add to that?
Michael Miller: (18:29)
For us, it’s all about what you guys mentioned earlier, which is getting more proactive. So we’ve got nearly four billion shipping events on our platform right now, and we’ve built machine learning models to crawl all over those specifically so that we can predict when an estimated delivery date or a promise date is going to be missed. So for example, just last week, we identified over 300,000 shipments that were going to miss their promise date and we did it up to 36 hours before the carrier even reported the problem. So you’re talking about up to a day and a half before you would otherwise know there’s a problem. When you can reach out to the customer, you can reassure them, you can appease them, you can reset expectations, you can talk to the carrier about the issues. So it’s really for us all about identifying stuff that the carriers aren’t telling you and that you can’t otherwise as explicitly see in the network so that you can get out in front of these issues and create better customer experiences. That’s the biggest place where we’re deploying it.
Gabe Larsen: (19:33)
Yeah, that’s incredible. The 36 hours. That’s a long time before obviously the carriers knew about it. Well, let’s wrap, guys, a lot of fun conversations, obviously challenging times need to figure out the best way to do that. Specifically, thinking about this idea of, “Where is my order.” Before we leave, advice for customer service leaders. Give me kind of your summary or your takeaway. Vikas, let’s start with you.
Vikas Bhambri: (19:58)
Yeah. I mean, my advice to customer service leaders is you have a once in a lifetime opportunity, right? For the last few years, every leader I speak to, not just in the customer service, but the C level in the boardroom has said, “My threat is Amazon and Walmart. When do they come into my market?” You have an opportunity here to take customers away from them because they’re having their challenges just like you are. So it’s a once in a lifetime opportunity because you have this opportunity to acquire customers. I mean, I’m seeing CACs have literally zero, right? Customer Acquisition Costs of zero. But if you drop the ball, and now the pressure’s on you Mr. or Mrs. Customer service leader, if you drop the ball, when this pandemic ends, those customers won’t be there. What do you do? Think about quick wins. What can you do? Whether it’s on the agent experience, the automation piece, the bringing in of this order data into your contact center environment, into your customer care world, to be proactive with, there are ways that you can fundamentally change your business, not just for the short term, but we’re all going to come out of this. How does this actually put you in a better stead for when we come out of this pandemic? So that would be my feedback to customer service and C level folks all across the globe.
Gabe Larsen: (21:26)
You’re right and when we come out of this, there’s going to be winners, right? And if you do it right now, you’re going to be standing on that pedestal. I can’t agree more. Mike, what would you add?
Michael Miller: (21:36)
Very similar. I think there’s a strategic lens and a more tactical lens. Strategically, it’s exactly right. I mean, evaluate your partner ecosystem and the extent to which you can identify tools that allow you to get proactive, that allow you to get more efficient, automate tasks, I think is an incredible opportunity. More tactically, if you’re in the care center, our advice is, we’re seeing specific spikes in things like general delays, address issues, COVID related delays. So if you can build targeted workflows around getting proactive and issuing customer communications and reassurances around those, that’s going to serve you really well these days.
Gabe Larsen: (22:23)
Yeah. This proactive nature, now more than ever, I think we’ve gotta be proactive. Guys really appreciate you taking the time today to talk about COVID and all the different challenging times we’re participating in. And for the audience, I hope you have a fantastic day.
Michael Miller: (22:37)
Thank you so much.
Vikas Bhambri: (22:37)
Exit Voice: (22:38)
Thank you for listening. Make sure you subscribe to hear more customer service secrets.
If the events of this year taught those of us in the customer experience world anything, it’s that we can never stop innovating to be more customer-centric. We can’t hope that we will “get by” just a little longer with legacy CRMs and support tickets. We must embrace change and adapt quickly to meet today’s consumer expectations for a smart, omnichannel experience powered by a modern CRM—the key to scaling CX, meeting explosive growth, and adapting to change.
Some argue that 2020 has signaled the decline of ticket-based support systems. Why has the pandemic emerged as the straw that finally broke the legacy CRM camel’s back? The data tells the tale. Recent analysis of e-commerce trends shows a staggering 10 years of growth in just 3 months at the beginning of 2020. And that was just the early stages of lockdown. As chaos and uncertainty took hold, CX teams were inundated with customer calls and support tickets as they struggled to keep up with questions, changing plans, requests for assistance, and the demands of going direct-to-consumer.
But that’s only where the challenges begin. 2020 also forced organizations to accelerate digital transformation by 6 years to adapt to the “new normal” of stay at home orders, remote workforces, supply chain disruptions, shipping delays, and the economic slowdown. Along with this digital transformation, many CX leaders are realizing they need to follow the lead of the direct-to-consumer disruptor brands that are differentiating themselves, and thriving, by delivering a modern consumer experience.
The DTC Disruptor’s Secret Weapon: Intelligent CX Focused on the Whole Customer
As the pandemic took hold, most direct-to-consumer innovators were many steps ahead and better prepared to deal with the curveballs 2020 delivered. These businesses started with the right culture, philosophy, and customer-centric CRM platform. They built their business to connect with customers at scale. A great example of this is The Farmer’s Dog, a company dedicated to delivering safe and healthy pet food, who totally nailed the customer-first approach. Their customer service agents connect on an emotional level with their buyers using whatever channel the buyer selects to educate and foster authentic relationships. This takes a level of insight tickets can’t provide.
UNTUCKit is another great example of a customer-centric brand. They ensure their stellar shopping experience is supported across every customer touchpoint, especially support. Team members have a virtually seamless process for seeing customer history, gathering the right data points, and resolving customer inquiries.
What Makes a Modern CRM?
If tickets aren’t the ticket, what is the secret to direct-to-consumer success today?
Visibility to Care for the Whole Customer
Now more than ever, customers feel they’ve lost control and trust. Zappos and Amazon have set the bar high with proactive, rapid, data-driven customer experiences. Modern CRMs can help brands rebuild that trust through data-driven conversations informed by a view of the whole customer. Agents must have complete visibility across systems to understand the consumer and their entire situation. But with a plethora of data, and a growing number of channels to monitor, we need AI to unlock these insights. Efficiency is the name of the game in customer service, and AI is a true force multiplier, enabling customer service teams to work more efficiently and focus on the customers who need the most help. Contact centers using ticket-based systems, while relying on siloed customer data, simply cannot deliver the type of experience customers demand today.
Omnichannel Customer Experience
Omnichannel support means a customer can connect with your business anywhere, anytime, and with any method—or even with multiple methods or channels. If a customer wants to reach out via email and then switch to chat, so be it! It’s the experience a new generation of consumers expect. This requires companies to break down silos and integrate their data for a picture of the whole customer across channels. Consumers must be able to switch channels mid-conversation and leverage the best channel for each conversation’s purpose. Our research shows that nearly 90% of customers are frustrated when they can’t contact a company on the channel they prefer. That shouldn’t be a surprise—we all know customers want what they want.
Omnipresent, Guided Self-Service
Just as customers expect more tailored and personal communications, they also demand self-service options for immediate resolution. As our new AI e-book explains, AI is being rapidly adopted in contact centers to act as the first line of defense, amplify performance, and create strong efficiencies. The volume, velocity, and variety of customer data today overwhelm organizations without the technology, processes, and operational capabilities to integrate siloed data and personalize communications. AI is transforming customer experiences, and for good reasons.
Happy Agents, Happy Customers
Research shows companies with excellent CX have employees that are 1.5X more engaged than employees at companies with less satisfactory CX; additionally, companies with highly engaged employees outperform their competitors by 147%. AI is also vastly improving agent productivity and reducing churn for contact center leaders. AI can have a dramatic impact on the customer experience and satisfaction, which in turn makes the employee experience far more interesting and exciting.
AI makes jobs more meaningful and less frustrating by deflecting much of the grunt work and alleviating manual and repetitive tasks agents hate. Agents don’t need to waste time transferring and redirecting customers. Rather, conversations can be automatically classified and routed to the appropriate agent for a speedy and personalized resolution. Not only will this reduce wait and handle times, but it will also maximize team capacity by directing real-time conversation traffic to the right person at the right time.
Realizing the Intelligent Customer Experience
You need a modern CRM to help you execute your digitally advanced, customer-first approach. Leading contact centers have indicated that integrated platforms and data analytics are important in gathering insights into the customer journey. Enter the Intelligent Customer Experience, a culmination of all of the improvements we just discussed.
Intelligent CX means leveraging a modern customer-centric approach and advanced AI to create a smarter, faster, and more enjoyable customer experience. It’s about delivering results fast using the power of AI and data from all channels, whether that be via a call, chat, email, tweet, or all of the above. Your customer service agents will feel more informed since you’ll be empowering them to provide real value, not just closing a ticket or processing a transaction. AI uses context and conversations to make it easy for customers to get help, while allowing agents to provide more personalized service at scale.
We’ve seen dramatic changes since March of this year that have accelerated every aspect of digital transformation. We recently launched Kustomer IQ for omnichannel deflection, sentiment analysis, and intelligent routing. Check out more details here.
Customer Care Delivered in a Remote Environment
The pandemic has certainly upended the notion of the traditional 9-5 office. Companies are racing to adapt to a distributed work model, and technology is the biggest driver in adjusting to operating remotely. The next generation of customer service CRM does more than just manage support conversations. It enables the delivery of the customer experience from anywhere, through remote work orchestration and oversight. Taming the CX frankenstack is another step toward easing the remote transition. Modern CRMs must allow organizations to streamline integration of platforms, data sources, and channels to make remote work.
Collaboration is key to delivering an exceptional experience, so the modern CRM should provide a platform for customer service representatives to work together, to deliver service and support more efficiently and effectively. Collaboration between agents enhances the quality of answers provided to the customer by leveraging subject matter experts. At Kustomer, we believe the collective knowledge of experts makes your customer service organization stronger overall. In fact, we’ve embraced the use of Collaborators, users from other teams outside of support that can view conversations, customer history, and searches. By setting up Collaborators, other team members or departments can help you solve customer questions with internal notes and @mentions, see customer feedback, and more.
The Demise of the Dreaded Ticket
2020 will be the beginning of the end for legacy CRMs and transactional ticketing systems that were built to manage cases, not customers. Personalized support has been a key tenet of the business-and-buyer relationship from day one. Every customer wants to feel like they are known, respected, appreciated, and well-served. They certainly don’t want to be insulted by an interrogation. Traditional ticketing systems will be left behind, as customers expect more and the world continues to converge quickly.
Intelligent, modern CRMs enable true connections to be made with customers in their greatest times of need, by making it easy for agents to come from a place of understanding and context, consistently. This requires unlocking the value of data shared between different teams (such as marketing and customer service), creating new roles to act on the data, and leveraging new and modern technology.
Download the AI for CX e-book to learn more, and take a look at how Kustomer can provide the tools you need for exceptional DTC customer service.
Every consumer has a different expectation as to how they believe they should be treated by organizations they do business with. Perhaps I wouldn’t hesitate to ask for a full refund and an apology when I feel I’ve been wronged, whereas you wouldn’t be caught dead being so demanding.
But while we all have our minute differences, it is also true that consumer expectations generally shift with the times, and have clear generational differences. This past year has brought a significant amount of changes, and businesses may feel more in the dark about what their consumers are demanding. We wanted to pull back that curtain.
Kustomer surveyed over 550 US-based consumers to better understand what they expect from the customer experience, where organizations are falling short, and how expectations have shifted across generations. According to our research, 79% of consumers say customer service is extremely important when deciding where to shop, and many consumers are more picky with where they spend their money than ever before. Read on for the findings from our research, and for strategies to deliver on consumers’ growing demands. You can download the full report here.
We Must Treat Customers as Humans
If 2020 has taught us anything, it is that empathy is of the utmost importance when dealing with customers. As the world has drastically changed, and individuals feel more stress and anxiety than ever before, the potential to brighten someone’s day with a simple support interaction is hugely impactful.
According to our survey, 69% of consumers expect an organization to prioritize their problem if they are upset. Through a combination of sentiment analysis and intelligent routing, your customer service platform should be able to move upset or loyal customers to the front of the line and immediately get them help from the most appropriate agent.
Additionally, 53% of consumers expect a business to know about them and personalize how they interact. To create these meaningful relationships, companies need to adopt technology that allows them to see customer history, issues and behavior in context, no matter the platform. According to Amy Coleman, Director of CX at Lulus.com, the humanity of customer service is often lost in call center environments. “I think that one of the downfalls to old school ticketing systems is that it’s no longer about people. It almost becomes like data entry for those agents that are working on the same thing. It’s how many tickets there are,” said Coleman. “We were never thinking of it in terms of the human beings that are on the receiving end. And I think that’s what Kustomer has really done for us, it’s allowed us to spend the time with the human beings that are on the other line and spend more time developing our team.”
One thing is clear across the board: consumers expect retailers to know how they’ve interacted in the past, what issues they’ve encountered, and they want organizations to actively make amends. A whopping 76% of consumers expect companies to proactively follow-up and reach out to them if there is a problem. Whether it is a winter storm delaying a shipment, a new safety policy, or a fulfillment issue, proactive outreach is not only a nice benefit, it is now an expectation. Proactive communication can provide even more value when you use it for actions like reengaging unhappy or complacent customers, and building brand loyalty with targeted offers. Make sure your platform can power bulk messaging, targeting specific customer segments based on your unique data, like orders, location, or CSAT. In no time your customer service team will turn from a cost center into a profit center.
The Need for Speed in CX
We’ve all been there. Too much to do, too little time. This turn of phrase is even more pertinent for customer service organizations. Delivering real-time service is inherently difficult without endless resources, especially during peak shopping periods. But it is truly what your customers expect.
Seventy-one percent of consumers believe their problem should be solved immediately upon contacting customer service, but 52% report that they’ve experienced hold times longer than fifteen minutes. That’s a massive amount of consumers whose expectations are not being met.
Luckily, thanks to automation and artificial intelligence (AI), businesses now have the opportunity to provide more self-service options, freeing up agent time for complex and proactive support. In fact, 53% of consumers prefer self-service over talking to a company representative, meaning AI-powered experiences fulfill their needs. Tools like chatbots are growing in popularity with both businesses and consumers, with 53% of consumers saying that chatbots improve the customer experience. They can be used to collect initial information, answer simple questions, and direct customers to a help center if human intervention is not needed.
These tools save time for both the customer and agent, and increase the time spent on the actual issue rather than information gathering and low level support. Additionally, 42% of consumers reported that they would be willing to buy a product or service from a chatbot. This transforms AI-powered chatbots from a deflection tool into a revenue generator, with the ability to suggest similar products, or answer questions consumers need clarification on before buying.
To read the full report, including industry and demographic data, click here.
In case you missed it, last week Kustomer hosted a series of events all around switching from traditional ticketing systems to a modern CRM for customer service. The week was action-packed, filled to the brim with insights from Kustomer executives and customer-centric brands like Lulus and Ritual.
It’s not too late to gather insights from the week. Below you can find four key takeaways from #MakeTheSwitch week, and what they mean for your brand.
1. Treat Customers Like Humans, Not Tickets
Many companies are still relying on the old model of customer service, where they treat each new interaction as a separate event handled by different people across a variety of siloed platforms. To personalize a customer’s experience, you have to know the customer—and that requires data. A platform that brings all the data about a customer into one place helps customer service agents understand the context of a customer’s conversations and helps them deliver more efficient, proactive and relevant service.
Amy Coleman, Director of CX at Lulus.com, thinks that the humanity of customer service is often lost in call center environments. “I think that one of the downfalls to old school ticketing systems is that it’s no longer about people. It almost becomes like data entry for those agents that are working on the same thing. It’s how many tickets there are,” said Coleman during a Thursday afternoon webinar. “We were never thinking in terms of the human beings that are on the receiving end. And I think that’s what Kustomer has really done for us, it’s allowed us to spend the time with the human beings that are on the other line and spend more time developing our team.”
Eric Choi, Community Support Manager at Zwift, said during a Friday afternoon LinkedIn Live that he made the switch to Kustomer because his team was looking for a platform that was more human, and allowed them to interact with their members in a more organic way. “The old ticketing system made me feel… like a deli counter. You pull a ticket, you get answered, you throw the ticket away and then you move on.”
When all customer information is available at the click of a button, agents are able to personalize the customer’s experience by giving fine-tuned advice, addressing problems proactively, and suggesting other products or services the customer might enjoy. The result? An efficient but personal interaction that builds a lifelong customer relationship.
2. Unlock the Power of Data Through a Customer Service CRM
As Kustomer CEO Brad Birnbaum said in his Tuesday afternoon LinkedIn Live, an effective CRM should allow you to fully understand the relationship that your business has with each and every customer, and leverage data in order to do that. Legacy CRMs were built to manage cases, not customers. And you shouldn’t have to pay more for operational solutions AND modern communication tools in order to provide effective support.
Coleman agrees that e-commerce companies “absolutely have to be able to access data around what your customers are contacting you” about. Before making the switch to Kustomer, Lulus didn’t have any data because their platforms weren’t talking to each other, and that was a big issue. A modern customer service CRM should be designed to connect seamlessly with your other data sources and business intelligence tools, while taking the place of your support platform, contact center routing software, and process management solution.
3. Cut Down on Tickets With an Omnichannel Approach
In a multichannel support environment, each channel lives in its own silo with its own dedicated team of agents, with limited communication or sharing of information between channels. As a result of this fragmented experience, customers will have to take the time to repeat to the second agent what they told the first agent. In addition, multichannel support leads companies to focus on resolving tickets, rather than building stronger customer relationships, because agents lack a holistic view of each customer.
After switching to Kustomer, Coleman truly realized how many omnichannel conversations were taking place within Lulus’ customer base. With a truly omnichannel customer service CRM, Lulus “ended up merging or cutting [their] tickets down significantly.” Agent collision never occurs when communication channels are integrated, because agents can view the conversation and maintain context even as customers engage through multiple channels.
Michelle McCombs, Vice President of Safety and Support at HopSkipDrive, has now structured her team so they are all omnichannel. With Kustomer’s timeline view, and intelligent queues and routing, her team doesn’t have to go and find what they need to do next. All of her agents “live right there in their one space and… and get to work.”
4. Make the Agent Experience Effortless and Fulfilling
Ultimately, agent happiness directly translates to customer happiness. The more information that agents have at their fingertips, and the more they are able to focus on quality instead of quantity, the happier they will be, and the happier they will make your customer base.
Andrew Rickards, Director of Customer Experience at Ritual, has experienced this first hand. “It goes without saying customer service can be a thankless job and even … the best spirited individual can find those tougher days. So for me, it’s looking at the agent’s experience and understanding what the points of friction are and removing them, so what is already a tough job doesn’t have to be any tougher,” said Rickards. “When I talk about agent happiness, if you look at the internal surveys we do, to see just how people are on a quarterly basis, a lot of the questions that would indicate day-to-day stressors…we improved on those results post-Kustomer switch.”
Coleman agrees, and sees how making the switch to a more effortless platform can impact agent development. “I do feel that we’ve had less turnover due to the fact that the platform is easier, to the point where we’ve been able to actually focus our leadership on actual leading instead of micro managing,” says Coleman. “And what I feel is the most honorable and noble career, which is the service of helping other people, it gets lost in the abyss of really complicated workflows. And so Kustomer has given us, has given me as a leader, so much value, because I’m actually able to lead people for who they are based on their individual strengths and opportunities.”
Click here to learn more about how making the switch could be a gamechanger for your team.
In this episode of Customer Service Secrets, Gabe is joined by Aarde Cosseboom and Vikas Bhambri to discuss how to use AI in contact centers. Aarde is the Senior Director of Technology and Product for Global Member Services at TechStyle. He’s spent the last decade working in e-commerce and is the author of the book Enable Better Service. Vikas, a familiar guest on the show, is the SVP of Sales and CX at Kustomer and a 20-year CRM / contact center veteran. Both Aarde and Vikas have extensive knowledge on the use of AI in customer service and they have come together to discuss how other businesses can optimize with the help of AI.
“Omnibot”, The Omnichannel Bot
Customer expectations have changed significantly over the last few months, and companies are starting to feel the strain— especially in regards to their AI. While autobots have a reputation for dehumanizing companies, we are starting to rely on them heavily as customer needs increase. To ensure chatbots have a positive impact, Vikas and Aarde focus on making sure they are used as an omnichannel tool. Aarde states, “You can’t just have a chatbot on your website anymore, and it only be in your chat profile. It’s gotta be across all of the different channels that you use to support your members.” As customers switch channels, the bot needs to be available to support your customer on their preferred channel. Gabe, Vikas, and Aarde called this adaptable bot an “omnibot.”
Knowing the need for effective AI, and bots that function on multiple channels, Vikas and Aarde discuss who should build the bots and how they should be built. Because coding and creating AI can be taxing, they recommend finding a good partner to help, as it will be a better use of resources. As for how an omnibot should be built, Vikas notes the need for authenticity to the brand. He states, “If you’re a fun hip brand, you want to keep it relative to that. If you’re maybe a more mature brand, you want to keep it in tune with your … general reputation and what your customers expect of you.” In other words, make sure that the bot matches your brand. And, as an additional note, let customers know they’re talking to a bot. Customers don’t like to question whether they’re talking to a person or not.
How to Humanize a Customer’s AI Experience
One of the main concerns with using chatbots, even ones that are authentically built to the brand, is that consumers lose the human touch of customer service. This is a valid point, but Vikas and Aarde explain ways to overcome that while still increasing efficiency. To humanize a bot experience, have a good team behind it. In regards to AI Vikas states, “You still need people that will go and optimize the program behind it.” It is a team effort to optimize a chatbot, and constant evaluative measures will ensure that it grows and changes with the needs of the customer. Good AI is not meant to replace people in customer service, but to aid those committed to helping customers. In fact, Aarde mentions optimization tactics that fix AI and help the customer at the same time. He says, “When we feed the transcripts to our agents, our agents are actually reading through and seeing where things fail and then they escalate that to the bot architects, the engineers in the background. So they could change those bugs.”
Best Practices and Final Advice on How to Optimize AI
Transcribing bot conversations and having the bots follow the customer across multiple channels helps with the overall customer experience. Additionally, not being hesitant to transfer someone to a live agent is a good tactic. If people are saying “Operator”, pressing zero, or yelling, don’t use the bot to fix the problem, have a person step in and do their job. Aarde’s final piece of advice, or best practice, is to not tackle the hardest type of AI first. Don’t try for voice AI from the beginning. “I recommend trying,” he states, “but trying it slowly. So testing with maybe a low volume channel first, just doing a small portion, maybe 10% of volume, see its success rate and then roll it out to the greater population.” Add AI to your company’s customer service department one step at a time. Agreeing with Aarde, Vikas adds, “Look at your FAQ. What are the articles that people most often go to that resolve their issue?” He also suggests, “[Talk] to your agents or even [look] at the analytics in your CRM ticketing tool to look at, ‘What are the macros they most often use?’” While investing in AI can be an intimidating venture, bots can provide increased efficiency to your company, and successful self-service to your customers.
To learn more about how to leverage AI in your customer service department, check out the Customer Service Secrets podcast episode below, and be sure to subscribe for new episodes each Thursday.
You can also listen and subscribe to our podcast here:
Full Episode Transcript:
Leveraging AI to Power Your Contact Center With Aarde Cosseboom and Vikas Bhambri
Intro Voice : (00:04)
You’re listening to the Customer Service Secrets Podcast by Kustomer.
Gabe Larsen: (00:11)
All right. Welcome everybody to today’s broadcast. We’re excited to get going here. We’re going to be talking about one of these really relevant and interesting conversations, leveraging AI and self-service to really power your contact center. To do that we brought on two special guests. We’ll let them introduce themselves. Aarde, why don’t we start with you?
Aarde Cosseboom: (00:31)
Sure. Thanks again Gabe and Vikas for having me and Kustomer, of course, for hosting. I’m Aarde Cosseboom. I’m the Senior Director of Technology and Product for GMS, which is Global Member Services for a company called TechStyle. And we’re an e-commerce retail company.
Gabe Larsen: (00:47)
Awesome. Vikas, over to you.
Vikas Bhambri: (00:49)
Vikas Bhambri, SVP Sales and CX here at Kustomer, 20 years CRM Contact Center Lifer, looking forward to the conversation with Aarde and Gabe.
Gabe Larsen: (00:57)
Yeah, this is exciting. And you know, myself, I run growth over here at Kustomer. So let’s get in and let’s talk about this. Aarde, let’s start with the big picture. What do AI and self-service bots even solve?
Aarde Cosseboom: (01:11)
Yeah, this is a great question and really hard to answer specifics because every business is slightly different, but I’ll try to stay as high level as possible. Really it helps with self service, it’s in the title, but deflection, reducing contact. There’s a lot of automation that happens as well, too. So not only automating for your customer, but also automating a lot of the agent processes like creation of tickets and then auto dispositions as well too. And then one of the things that’s kind of hidden that most people don’t think about, and it’s actually one of the things that we don’t really measure that well in the industry in this area, is customer experience as well, too. So as millennials and gen X are expecting these types of tools, it creates a better experience for those people who are expecting it.
Gabe Larsen: (02:01)
Vikas, maybe you can add onto that. I mean, why do you think this is such an important conversation more so now than it was even just a couple months ago? Give us kind of that thought process.
Vikas Bhambri: (02:11)
Sure. I think what we’re running into right now is folks like Aarde are really seeing a tremendous surge of inquiries into their contact center. And the reason they’re seeing that is there’s the heightened level of anxiety and expectation for consumers. Most of what they’re shopping for, they want now and it doesn’t matter what it is. In fact, I was talking to a friend of mine who’s in the middle of buying a bike. Now, normally you buy a bike and you’re good. Whenever it shows up, it shows up. But because of the quarantine, he is literally like, “I need a bike so that I can have something to do with my kids.” So when he placed an order for the bike and wasn’t immediately notified when his bike was going to be available, he got extremely concerned and started pinging the bike shop. So I think it’s really interesting to see that behavior, particularly in these times, the ticket surge and putting pressure on people like Aarde and his peers to be able to respond.
Gabe Larsen: (03:20)
It feels like, again, there’s just more need for it than ever before. How do you think about chatbots versus social versus some of these other channels? Do you feel like they’re just different times to use them, is it different companies, is it different industries? Aarde, what’s your thought on kind of the mix of channels that are out there, why people would use one versus the other, et cetera?
Aarde Cosseboom: (03:42)
Yeah. And it goes back to expectations. So your customers expect a lot from you. And as we grow in channels in the customer service realm, growing the social and then direct social, which is things like WhatsApp and Apple business chat, direct SMS, and MMS. Those are all areas that we need to grow into and when we do grow into, we need to create an omnichannel experience. So you can’t just have a chatbot on your website anymore, and it only be in your chat profile. It’s gotta be across all of the different channels that you use to support your members. And as a member switches, as they do the channel switch, maybe they start in chat online and then they say, “You know what, I’m going to pause the conversation. And now I’m going to go to Facebook messenger.” You need to follow that with your AI so they don’t have to start all over from scratch with that automation tool.
Gabe Larsen: (04:36)
I like that. Vikas, how would you add to that?
Vikas Bhambri: (04:38)
I think Aarde nailed it. The term chatbot is so yesterday, right? Your bot needs to be omnichannel, your bot needs to be available, not just via chat as a channel, but you know Aarde mentioned Facebook messenger, WhatsApp, SMS email, right? So when we think about automation and bots here at Kustomer, we think about it regardless of channel, I mean, even email, right? Why is it that somebody sends an email and somebody actually has to enter a response? Why wouldn’t you send some responses that will allow that customer to self service, even by email, which is obviously one of the older, more mature channels. So that’s how we think about bots here at Kustomer.
Gabe Larsen: (05:23)
Well, look, I’m as guilty as anybody; the chatbot I’m so used to thinking chatbot and it’s something on the website. Is there a different term? Is there, I mean, obviously as you guys kind of pointed out, it’s better to think about it, maybe in an omnichannel approach, but Aarde, I’m looking for you on this one, man. How come you haven’t invented a term that is an omnichannel chatbot? What is that term, what is it?
Aarde Cosseboom: (05:49)
I haven’t invented it, but it is out there. It’s IVA which stands for Intelligent Virtual Assistant and really it’s the omnichannel bot experience, doesn’t matter how you use it, but that’s how you deliver it. So Virtual Assistant or Intelligent Virtual Assistant,
Vikas Bhambri: (06:07)
Gabe, I’m not the marketer on this call, but I’m going to give you a lay up here and you can give me credit. And if our friends at Zendesk are listening, they’ll probably copy it as they always do, but Omnibot.
Gabe Larsen: (06:19)
Omnibot! Oh my goodness! Oh, stolen.
Aarde Cosseboom: (06:22)
I like it.
Vikas Bhambri: (06:22)
I’m a transformers kid. I grew up, I’m a transformers generation. So that just sounds super cool to me.
Gabe Larsen: (06:29)
Honestly that sounds like —
Aarde Cosseboom: (06:31)
Gabe Larsen: (06:31)
Omnibot does sound like one of those transformers. What’s the main transformer? What’s the old guy?
Vikas Bhambri: (06:36)
Gabe Larsen: (06:38)
Optimus Prime. Optimus Prime, meet Omnibot.
Aarde Cosseboom: (06:43)
That’s a great name for a bot too. We could brand it.
Gabe Larsen: (06:47)
It totally works. That probably is good for this question you guys. I consider myself a programmer. I wanted to build my own bot. My kids are doing little things with programming. It seems like a lot of people are building bots these days. Should someone just build a bot? Should you buy a bot? And excuse me, an Interactive Virtual Assistant. Aarde, let’s start with you man. You’re out there in the market, talking to people, can companies just build these things? Is that easy or should you buy it? I’m confused.
Aarde Cosseboom: (07:19)
Yep. Great question. There’s a lot of controversy here and lots of different companies are doing their own little flavor. As technology grows and changes, it’s enabling companies to be able to build their own. Things like Amazon Lex or Google dialogue flow, it’s getting a lot easier than it was a year ago or even five years ago. But in the current market and we assess this here at TechStyle every six months, we recommend to buy or partner, is what we like to call it, partner with an actual partner that has the technology in place. You get a couple benefits from it, ease of use, and you’ll get to market faster. You won’t have to do that long implementation, have to have those developers and experts build something from scratch. You’ll be able to lean on the expertise of your partner to help you with that. And then the other thing that’s really beneficial that most people don’t think about is, when you’re partnering with a technology partner, they’re going to be leveraging all of the AI and machine learning that they have across all of their other customers and bring all of that to you and your bot. So if there’s a best practice in your space, we’re in retail, for example, and we use a partner and they have a best practice for another retail customer, they’re going to knock on our door and give us that easy flow without us having to do all the legwork. So I recommend buy for now and partner with a dedicated partner that has it in that ecosystem.
Gabe Larsen: (08:45)
Yeah. Look, it’s becoming, I mean, there’s just, there’s enough out there. You guys, I think you can get it for a good enough price that I don’t know if you need to dedicate a whole engineering team to kind of build your own automation, roles and bots, and things like that. So I don’t think I’d disagree with Aarde. Vikas, this one just came through on LinkedIn, this is from Keith, this question, and I meant to throw this in here and so I want to throw it in now. He said, “Hey, look, we’re trying to humanize our bots. So we designed them to help people not be viewed as an application. But it still comes — begs the question of how do you think about these bots? I’m thinking more on the website at the moment. Do you name it the bot, do you put a human there? Do you — how do you balance that? Have you seen best practices on that?
Vikas Bhambri: (09:26)
Yeah, the first thing that I recommend to customers is you got to keep it authentic to your brand.
Gabe Larsen: (09:32)
Vikas Bhambri: (09:33)
That’s number one. If you’re a fun hip brand, you want to keep it relative to that. If you’re maybe a more mature brand, you want to keep it in tune with your just general reputation and what your customers expect of you. The other thing is, I think in the early days, and most companies have gone away from this, I remember there was a brand in the UK that had announced a bot, but they branded it Lucy. Ask Lucy. And customers cannot really tell whether they were speaking to a human being or a bot. And they actually got very negative feedback because people were just asking questions and the bot at that time, you can imagine almost seven, eight years ago, wasn’t trained. It couldn’t answer half their questions. So I think the more that you let your customer know, “Look, you’re dealing with a bot” and that allows them to give some flexibility and some leeway to you to understand that look at some point, this bot may not be able to answer my question; to know that you can always escalate to a live human agent, right? So you can still give it a name, right? But making sure it’s authentic to what it is. And if the point comes where it can not resolve the customer’s inquiry, that they know there’s a handoff, a seamless transition. That’s another thing a lot of people get wrong. Right? So now I connect to the human agent, don’t make me ask the five, six, seven questions that I just went through with the bot. The agent should pick up the conversation fluidly from where I left off. Aarde what do you think?
Gabe Larsen: (11:09)
Yeah Aarde, I want to talk — do you agree because I think you might disagree?
Aarde Cosseboom: (11:15)
No, I do agree. There’s a little bit of uncanny Valley; gotta be careful about not tricking your customer into thinking they’re talking to a human. So I totally agree that you have to upfront tell them that it’s a bot. I like to brand it as giving it kind of a bot accent. So if it’s a voice bot giving it a little bit of a mechanical accent, so they know that it’s a bot or, not having a hundred percent of a fluid conversation fragmented a little bit more so they know that they’re talking. Also, you could declare it at the beginning of a chat or social conversation saying that “You’re engaging with an AI tool at this time.” And then, another key point here is you’re right, try to do it on brand. So we have 95% of our customers are females. So we have a female voice. If you’re selling golf clubs online, you may want a male voice because there may be a higher percentage of males that are listening to or engaging with your bot. So think about voice, tone, accent, especially accents, U.S. accents. So if you’re on the East Coast, don’t put words in there like “cool” or “hip” or things like that. Make sure that it’s localized to your customers and brands.
Gabe Larsen: (12:29)
Yeah, don’t use one of those weird Utah accents like you hear coming in all, all “Here y’all.”
Vikas Bhambri: (12:36)
One other thing to Keith’s question, right? And this whole concept of an application; look, it goes back to back in the day and chat, we started out with what we called a pre chat survey, which was literally, “Here are the five questions you need to answer so that we know who to route you to, who you are,” et cetera. Then it became a bit more where people were doing authentication. And so they had some data. Then we moved to this concept of conversational form, which was still a bot, but it asked the question in a humanized way. So it wasn’t just “Fill out these five questions.” It would ask you the question one at a time and maybe there was a variability where if you said you were a buyer versus a seller, the next question would change. Now Keith, where we want to take it is the bot can gather so much data about the customer before they even type in one word. So a lot of that is now picking up with the information that is now unknown to you so that you can then either answer the inquiry or then route it to the agent. So it should necessarily have that kind of predetermined, almost process flow. You can be much more mature about how you even go about using natural language processing for people to just key in things and it doesn’t have to be hard coded, right? So I think there’s a lot that you can do there now.
Gabe Larsen: (14:00)
I like that. This is, I think, one of the questions that comes up often, this is such a cool feature look at this. I can just throw this in here, right here. Look at that. Are you guys seeing that?
Aarde Cosseboom: (14:11)
Vikas Bhambri: (14:11)
Gabe Larsen: (14:12)
Geez louise, man, look at this technology. Scott Mark, little shout out to Scott Mark. What are best practices around the handoff from a bot so we stop dropping the ball? I think that’s — we wanted to get actually into some best practices. Maybe we start it now. That’s just a big debate. It’s when you handoff, how do you hand off, how many questions do you ask? It’s just, it never feels right. Thoughts? Aarde let’s start with you on that one.
Aarde Cosseboom: (14:38)
Yeah, absolutely. And you have to think of one thing first, which we call the IVR prison or the chatbot prison. You’ve got to allow people to get out of that prison. So if you get the same question twice and it’s not — you can’t recognize the right answer like, “What is your email address?” and can’t recognize, ask again, can’t recognize, fail it out to a live agent. That’s a good best practice. Also if they say the word operator or press the zero key on their phone, or if they start cursing, definitely fail them out of the IVR. Don’t keep them in prison. Always allow them a way out of that IVR. But then when you go over into the agent experience and that handoff, even for the experiences where someone engaged with the bot for a very long time, and there’s a long transcript, maybe there is actions that were done like they updated their credit card information with the bot, they updated their billing information, their name, profile; all of that you want to transfer to an agent, screen pop not only the member profile, start to fill out the case or tickets so the agent doesn’t have to do it. And then also, feed them the transcripts so that if the customer or member says, “Hey, I talked to the bot, it updated my billing address, but I think it didn’t do it right. It didn’t do the right street address, the right number. Can you go back and check and see if it did that?” The agent should be able to scroll up through that transcript and see exactly where it failed and then fix that, that failure.
Gabe Larsen: (16:11)
Yeah. Vikas, what would you add to that?
Vikas Bhambri: (16:13)
I think the biggest, so Aarde nailed it, right? So, your initial implementation, those are all the best practices. I think the challenge for most brands is you’ve got to treat this like a program management, just like a marketer would if they were doing a promotion on their website or doing a campaign. Constantly revisiting and optimizing, right? So one, your bot is going to get smarter if you’re investing in the right technology. But two, if you’re finding that customers are constantly getting challenged, that process in your step, go and see what do you need to do to modify it, to smooth that out, right? So where are people cursing, where are people hitting zero? Where are people saying, “Get me to a live human agent?” How do we further optimize that piece before we do it? So I think that’s the biggest thing I see is where people will roll these things out and then forget about them and then six months later, they’ll say, “You know what, this isn’t working and we just have to pull it off the site.” And that to me —
Gabe Larsen: (17:16)
Why do you have to call me out like that? Why do you have to call me out like that? I mean, geez louise. In all truthfulness, that was my first experience with a bot. I mean, it’s been a few years back, but I don’t know. I thought you could throw it on the website and it would maybe like, I don’t know, do its things, some sort of magic or something. And three months later, I’m like, “This thing’s a piece of garbage.” I totally, I mean, I came to the heart of the conclusion that like anything else, it has to be iterative and optimized. I love that one.
Vikas Bhambri: (17:45)
No, I think Gabe, this is an interesting thing, right? Because people keep talking about AI just on a broad macro level. And you know, people will say, look, “AI is going to put everybody out of a job. We won’t need salespeople. We won’t need marketers. We won’t need customer service people.” No, because the role will change because the technology is great, but you still need people that will go and optimize the program behind it. Right? So I think, I think that’s an interesting nuance just as we think about AI generally.
Aarde Cosseboom: (18:11)
Yeah. And talking a little bit about supervised learning; so when we feed the transcripts to our agents, our agents are actually reading through and seeing where things fail and then they escalate that to the bot architects, the engineers in the background. So they could change those bugs. So your team members, your agents are now a part of a QA or quality assurance process on your technology, which is huge. And it kinda levels up the agent as well, too. They’re no longer just answering chats and emails and phone calls. They’re now, they now feel a part of the organization because they have a higher role in reporting this information back.
Gabe Larsen: (18:49)
I’ve been hearing more about this kind of bot, almost like a role, like a bot architect. I love the idea of getting the frontline people in front of it. Guys, give me a couple other nuggets. I think that’s where people want to go with this because I think people are getting onto the idea that they need to have these assistants or bots on their sites, et cetera. I don’t know if people know some of the best practices, lessons learned from deployment, where they get started. Our time’s a little bit short, but give us a quick rundown. Aarde let’s start with you then Vikas, we will go back.
Aarde Cosseboom: (19:18)
Yeah, absolutely. I’ll make it super short, but, it’s a huge chasm to cross from having nothing to having something. That’s why I recommend trying, but trying it slowly. So testing with maybe a low volume channel first, just doing a small portion, maybe 10% of volume, see its success rate and then roll it out to the greater population. So try to do the easier channels first. So online web chat is probably the easiest or a social chat or an SMS bot. Don’t tackle voice first. That’s going to be your hardest heaviest lift and you’re going to be sidetracked.
Gabe Larsen: (19:54)
Vikas what do you think man?
Vikas Bhambri: (19:54)
Yeah, I agree with Aarde. Look, you have to look at this as a crawl, walk, run, right? If you try to bite off more than you can chew, you’re going to end up pretty miserable. So for me, number one is, look at your FAQ. What are the articles that people most often go to that resolve their issue? Maybe that’s something you want to be more proactive serving up. The second is talking to your agents or even looking at the analytics in your CRM ticketing tool to look at what are the macros they most often use, right? Because if somebody is just cutting and pasting, we’re hitting hashtag time after time, again, that means those are probably some, that’s some low hanging fruit that you could front end via a bot, the omnibot, for them to resolve themselves. So those are some things that you could look at. Query the data you have, and then just think about, “How do you want to be proactive and thoughtful about putting some of these things in front of your customers?”
Gabe Larsen: (20:54)
I think that’s spot on you guys. I mean, my biggest takeaway from today, I’m going to trademark Omnibot. That’s what I’m doing. That’s — I could barely listen to you guys. I was thinking so much about money I’m going to be making on Omnibot here. No, I’m teasing. Aarde, really appreciate you joining. Vikas, as always, great to have you on. For the audience, hope you guys have a fantastic day.
Vikas Bhambri: (21:19)
Have a great weekend.
Aarde Cosseboom: (21:20)
Exit Voice: (21:27)
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I was beyond excited. I had the perfect gift for my wife for our anniversary planned out. After doing some initial research I had an ad pop up on my Instagram feed that provided exactly what I wanted — a personalized canvas with our wedding song on it. I pictured my wife opening up the package on the day of our anniversary and being overcome with emotion. I was sure that I had “husband of the year” in the bag. Unfortunately, it didn’t work out as I had planned.
The order process for this personalized canvas was very straightforward. I specified how I wanted the canvas to look and provided the exact wording, the canvas size, and the design. It was three weeks until our anniversary so I believed I had plenty of time. I put in the order and they sent me an email that said it would take them 1-2 days to provide me a proof and then 1-2 days to complete the canvas before shipping it. It was exactly what I saw on their website before I ordered. I knew I was cutting things a little tight but wasn’t worried. After four business days, I approved the proof they sent me, I kept waiting to get the confirmation that my order was shipped. After four more days I emailed them on a Friday asking where my order was. I started to freak out as I was down to a week before our anniversary.
I finally heard back from them on the following Monday (as they don’t work on the weekends): “We are a little backed up on our orders. We had more orders come in that we weren’t prepared for “. While they were extremely apologetic in their response they were putting my “husband of the year” award in jeopardy. Two days later I emailed them again asking when my order would be shipped. They responded quickly that it would be shipped the next day and to my relief, it was. It’s too bad that it was shipped on the same day as our anniversary. My wife is very understanding and wasn’t upset. I was disappointed though as this whole situation could have been avoided. Organizations need to consider how they can be more proactive in their approach to the customer experience so they don’t let down their customers and create lifelong customers. This is at the core of becoming an intelligent customer experience (CX) organization.
What Is an Intelligent Customer Experience?
Intelligent CX involves leveraging the technology and data that exists today to create a better overall customer experience. This includes sharing data between the different teams such as marketing and customer service, creating new roles to act on the data, and leveraging new technology such as AI.
Eliminating the Silos
Too often, organizations suffer from a lack of communication between different functions such as marketing, customer service, sales, and manufacturing. The loser in all of this is the customer, and ultimately the business, as companies will lose potential revenue and customers.
Intelligent CX organizations have more open communication and data transparency which creates a more fluid transition between the discovery and buying customer journey stages. As an example, the manufacturing team at the customized canvas company should have informed the marketing and support teams that orders would be delayed. They then should have updated their website and order emails so I would be aware of any delays and sent proactive communication of these delays while I anxiously waited for updates. Instead, I was the one that had to reach out to their customer service team a few times for updates. The friction points that existed in my customer journey could have been avoided by breaking down the silos within this organization.
Use Data to Provide a Differentiated Experience
The second component of an intelligent CX organization is leveraging the data you have about the customer to provide a better customer experience. This was the first canvas that I was purchasing from this company, yet there didn’t seem to be an acknowledgment of that. I felt like any of their other customers. If this data was appropriately used they could have:
Proactively reached out when they realized that my order was going to be delayed
Routed my issue immediately to the next available agent
Provided me with an exclusive and personalized offer as a first-time buyer to help drive repeat business.
We’re seeing organizations with an intelligent CX mindset collect more data at each touchpoint. They are also creating new roles that combine CX and analytics to help deliver on an organizations’ CX vision.
Embedding Artificial Intelligence
The last component of an intelligent CX organization is applying AI to inject automation and machine learning into the customer experience. AI takes advantage of the data that you have and helps organizations act on it in ways that could never be done before. This not only generates additional revenue but can result in significant cost savings.
During the purchase of my customized canvas, AI powered technology could have detected a delay in the processing of my order and proactively sent me an email without having to reach out to the customer service team. Another example is having an AI-powered chatbot on their website that could have provided me with an updated status so I didn’t need to wait until Monday to receive a response. These examples are just a small slice of what AI can do. Smoothing out these areas of the customer journey by leveraging an intelligent CX mindset is what transforms a good customer experience into a great one.
The Time for Intelligent CX Is Now
We need to go beyond providing a great customer experience — customers are expecting more. Intelligent CX organizations break down the silos that exist between different departments, they collect more data and better leverage existing data, and they embed AI into their CX processes. This ultimately creates an extraordinary, frictionless experience for your customers that will result in brand loyalty and ultimately drive a more profitable business.
PS: While it was late, the canvas has a special place in our home and reminds my wife and me of our wonderful wedding.
We recently held an exclusive invitation-only online Speakeasy with CX executives in California. These leaders ranged from digitally-focused to family-run organizations, across all sizes and industries. The primary purpose of the event was to engage our Kustomer community to discuss complex topics during these difficult times. The conversations naturally flowed from how their businesses are handling the COVID-19 crisis, to transformation while resources are crunched, and finally their top three strategies for success.
What Is Being Done NOW
An executive began by reciting a quote from their CEO: “don’t let a good crisis go to waste.” And boy did that ring true. A key theme that kept surfacing was the importance of unifying product and CX. It’s critical to get buy-in and support from product and engineering around co-owning the CX goals. For instance, you may set a goal for the amount of CS contacts per thousand transactions, and the product team should take this information into account during development.
Several other executives stated that they had a growth problem during the pandemic. Finding the right resources to help the business scale was an issue. Others stated that their CX issues were a mixture of stagnation and scale, and they were seeking to optimize workflows to minimize the impact of furloughs. Regardless of whether the business was scaling or contracting, everyone agreed that baseline tickets were rising and removing friction between product, engineering and support was critical. A great example of this success was raised during the conversation: “How many times have you issued a support request to Netflix?” Most everyone responded: never.
Transformation While Resources Are Crunched
There is an old technology world competing with a new technology world that is now thriving. Is the old technology still relevant? Many organizations are moving towards modern technology and digital transformation.
One executive stated that they were part of the old school class of folks who thought that CX couldn’t be done from home. And yet, they transitioned their CX team to work from home in a week. Interestingly, the CX leader started the process a few weeks before COVID hit as she had a funny feeling. They configured laptops and had them out to agents who previously did not have access to laptops at all.
Another executive stated that their agents, based in London and Austin, already had laptops to successfully work from home, but 200 agents in the US needed monitors to work from multiple screens. Employees came back to the office for basic accessories like chords and power plugs. There was some hesitation about voice quality or even security using home computers, but that went away after the first week. The pandemic accelerated their business continuity plan and now challenges occur more due to kids, school and scheduling.
Many companies saw a surge in volume, so job enrichment and training had to be put on the backburner. They needed more people or more resources to get the job done. However, work from home presented some challenges around measuring metrics and understanding who can sustain remote work and who may not be up to par.
One executive stated, “I think there were people getting away with it at the office and the home office is not conducive to working. Kids are maybe getting in the way. Some folks are struggling and may not be candidates for working from home.”
Luckily, many individuals think technology can help. The CEO of one organization used to work at stodgy banks, and he doesn’t want that for his current company — he wants to be different. He wants to adopt AI and transform into a modern financial institution. Other executives stated that their companies were not as forward-looking on AI, and convincing management could often be a challenge.
Moving the Customer Experience Dial
A CX executive began the conversation by stating that moving the needle 1% is a good thing, and focusing on one single metric that does so could lead to success. In his case, it was support cost as a percentage of revenue. This metric scales because it is clear to everyone.
“If you double the revenue, you can double support costs,” he said. This metric sets a north star and ties every team back to the results. The CX group doesn’t own the code, the product or messaging, but once you touch the customer, you can take what the customer is saying back to the other departments. If a customer tells you a problem, it’s your job to take that problem to the business, and potentially increase revenue as a result.
Organic growth occurs when there is no friction. Look at a disruptive company like Netflix. You never contact Netflix support, and you don’t have friction. Everything slows down if you don’t eliminate friction.
Never Let a Good Crisis Go to Waste
It was overwhelmingly agreed that baseline tickets were rising and that it was important to remove friction between product, engineering and support. In a recent report by Kustomer, How the Pandemic is Affecting Customer Service Organizations, the data mirrors the conversations at the Speakeasy. Our study found that 79% of customer service teams have been significantly impacted by COVID-19, while only 1% reported no change at all. Of the customer service representatives surveyed, 48% observed longer wait times for their customers, 39% reported a lack of resources and 64% said they needed greater efficiencies. According to reports, inquiries are up across phone, email, web and social media channels.
In order to address this, Brad Birnbaum, Kustomer CEO, recommends leveraging technology that can “automate low level support with the help of AI.” This allows a greater number of customers to be served immediately, while freeing up agents to deal with more-complex issues — and 57% of respondents said they were seeing more of these than normal.
To reiterate a comment from one of our CX leaders, “Never let a good crisis go to waste!”
Your Top Ten Takeaways
1. Do a better job of capturing feedback and delivering to the product team
2. Build a strong product team for better customer experience
3. Reduce CX costs by 50% under the notion of do no harm to the business
4. Offer personal value-based services
5. Innovate support solutions like an effortless experience
6. Improve the bottom line AND customer satisfaction
7. Improve knowledge of the product and industry across the company
8. Hire people with industry-specific knowledge
9. Implement self-service as customers want to serve themselves
10. Use all the data you have to make support an effortless experience
One of the biggest challenges for contact centers and customer service departments is convoluted systems. According to CCW Digital research, two of the top five areas for improvement include agents spending too much time on low-value work and the absence of a 360-degree customer view.
When customer service agents don’t have a 360-degree customer view, they spend excess time navigating applications and databases trying to manually find customer information and history, which is frustrating and inefficient for both employees and customers. However, with the right technology, it doesn’t have to be that way. Read on to learn why.
Tap Into the Power of a Centralized CRM
Building a 360-degree customer view is dependent upon giving our front-line employees and customer service agents the tools they need to see customer history, route inquiries accordingly, and find solutions seamlessly through an efficient customer relationship management (CRM) platform.
As seen in a recent CCW Digital webinar, during a peak in the pandemic, customer contact volume increased ten fold, while agent capacity decreased 20%, call duration increased 62%, wait times increased by 27 minutes, and as you would guess, customer satisfaction decreased — by roughly 28%.
As customer volume increases and agent capacity decreases, friction is brought into the customer experience, exposing an unforgiving area for improvement in the contact center — the vast majority of CRMs being used are not getting the job done. Simply put, customer service departments around the globe are losing customers as a result of poor management and technology.
Specifically, incorrect and incomplete data means longer wait times, less ability to predict needs, and less ability to personalize interactions.
We’ve seen an uptick in digital channel utilization which means you have more touch points and data sources to aggregate customer history, and therefore a greater need for an omnichannel CRM.
The only way to alleviate the friction in the customer experience is to create a more efficient process, reducing the amount of applications agents need to record and access customer information, and resolve problems by using a single, unified, and actionable customer service CRM.
Increase Efficiency and Personalization Through AI and ML
AI can help you better glean insights from your data at scale. Then it can be used to improve routing and provide agents with real-time guidance and recommendations, thereby increasing their ability to “see” and “use” their 360-degree view.
AI and machine learning (ML) have the ability to improve the precision and speed of service by automating repetitive, manual tasks as well as your most complex business processes. For instance, high-volume conversation traffic could be intelligently routed to the most appropriate agent, loyal customers could be prioritized, and agents can quickly deliver standardized responses when appropriate.
With Robotic Process Automation (RPA), AI can simulate human actions to complete repetitive and rule-based tasks and processes. RPA can allow chatbots to fully complete a customer conversation without the need to escalate to a human agent, as well as provide the customer with more self-service opportunities by tapping into appropriate backend datta. This makes agents more efficient, freeing up their time for complex and proactive support, and gives customers more accurate information quickly.
Let’s take a closer look at chatbots. They are growing in popularity with both businesses and consumers, and can be used to collect initial information, provide responses to simple questions, and even complete standard tasks like initiating a return or answering an order status question. While there is always fear of losing personalization when using AI, ML, or automation, with the right platform, businesses can actually do the opposite.
If a business leverages customer data properly and gives the chatbot a 360-degree customer view, chatbots can ask personalized questions based on an individual’s purchase or browsing history. These interventions save time for both the customer and agent, and increase the time spent on the actual issue rather than information gathering and low-level support. Of course, if needed, once the customer experience requires a transfer to an agent, automation can route the customer to the right agent, best equipped to solve the problem, and transfer all of that data into the agent’s view.
Want to learn more strategies to deliver standout customer service through a 360-degree customer view? Download CCW’s latest report here, filled with insights from Kustomer CEO Brad Birnbaum and NYT bestselling author Shep Hyken.
Many of us look forward to the holidays. We get excited about the prospect of parties, family gatherings, holiday cheer and presents galore. But the holiday season also brings a big lump of coal: an increase in needy customers reaching out to your team in need of immediate support.
According to Kustomer data, inbound customer service inquiries increased by almost 120% during the holiday season in 2019, with particularly dramatic spike in activity on Instagram, e-mail, voice and chat.
Many businesses struggle to maintain a high level of support during spikes in activity. They may need to hire a flurry of seasonal employees who have a short training period. Last year, $284 billion dollars were spent between Thanksgiving and Cyber Monday alone, so the stakes are high. The question becomes, how do you handle the seasonal rush without breaking the bank or disappointing customers? Read on to learn what customers expect, and how to deliver with smart strategies and smarter technology.
Customer Expectations During the Holiday Season
Spending isn’t the only thing skyrocketing during the holiday season — so too are customer expectations. Here is what consumers expect from brands during the upcoming holiday season.
During the holiday season, the turn of phrase “too much to do, too little time” hits a lot closer to home. Between normal day-to-day life, holiday celebrations, traveling and gift buying, consumers don’t want more of their time taken up by customer service.
According to recent Kustomer research, 77% of customers expect their problem to be solved immediately upon contacting customer service. Customers demand that you respect their time, especially during the busy holiday rush, and if you don’t, they are willing to leave for another retailer. In fact, 70% of consumers would not shop with a retailer again if they had to leave a chat before being helped, and 71% would do the same if they waited so long on hold that they hung up.
Available on Any Platform
Especially during the peak shopping season – Thanksgiving to Christmas — consumers are on the go. They may be traveling to spend time with family, taking a much needed vacation, or multitasking during the work day. What does this all mean? Customers are more willing and able to reach out on new platforms that are most convenient for them.
While 88% of consumers get frustrated when they can’t contact a company on the channel they prefer, availability on multiple platforms isn’t enough. Eighty-six percent of customers said they get frustrated when they have to repeat information to customer service agents. This means that if customers switch channels or need to be transferred, they don’t want the context of their previous interactions lost.
Most of the time, when a customer contacts a company, the team manning that channel will create a ticket. If the customer then contacts the company through a different channel about the same issue, a second ticket will be created with each team working their respective tickets. This results in a fragmented experience and the unfortunate need to repeat information.
How to Wow Your Customers During the Holiday Season (Without Breaking the Bank)
The typical strategies businesses use to please customers have one thing in common: they cost money, and aren’t scalable. What are some strategies and technology tools that you can put in place to wow your customers WITHOUT breaking the bank?
There’s something to be said about beating your competition to the punch. According to research by Digital Commerce 360, 56% of customers chose where to shop during last year’s holiday season based on past experiences. In addition to common seasonal marketing strategies, delivering a stellar experience NOW can help you drive business in the future.
The companies that are practically synonymous with brand love, and have customers that are loyal to the death, have one thing in common: they have prioritized customer experience since their inception. In fact, customer experience is becoming more important than price and product when it comes to loyalty. Ensure that during busy seasons, when your inquiries and orders quadruple, you can continue to make customers feel just as valued as on the slowest day of the year. By preparing early, you can put the right tools, staff and strategies in place to not only deliver the perfect holiday gift, but also the perfect holiday customer experience.
Get a Little Help From Your Robot Friends
When resources are thin, technology can make a huge impact on your team’s efficiency. Oftentimes the most tedious tasks on an agent’s plate are manual and repetitive, and may not require human intervention. Luckily AI can handle simple tasks like tagging and routing conversations to the most appropriate agent. And consider the power of chatbots during peak shopping periods. They are growing in popularity with both businesses and consumers. In fact, 67% of consumers prefer self-service over talking to a company representative.
Chatbots can be used to collect initial information, provide responses to simple questions, and even complete standard tasks like changing a booking or answering an order status question. While there is always fear of losing personalization when using AI and automation, with the right platform, businesses can actually do the opposite. For instance, if a business leverages customer data properly, chatbots could ask personalized questions based on an individual’s purchase or browsing history. These interventions save time for both the customer and agent, and increase the time spent on the actual issue rather than information gathering and low-level support.
Be Available Wherever Your Customers Are
Omnichannel support shifts perspective from ticket resolution to customer relationship building, which is incredibly valuable during the holiday season, when companies have the opportunity to attract an entirely new cohort of customers. Individuals have the freedom to move between channels throughout their engagement, and are guaranteed consistency, so each conversation starts where the last ended. Agent collision never occurs when communication channels are integrated, because agents can view the conversation and maintain context even as customers engage through multiple channels. If executed properly, omnichannel support provides a consistent experience for customers at every touchpoint after acquisition.
Ensure you have the right technology in place to integrate your combination of communication channels in order to capture the free flow of conversations across platforms and display the data in a single screen. A best-in-class solution should create a unified home for all your customer data, regardless of the source, not only the data generated from customer conversations.