6 Effective Ways to Maintain a Winning Customer Service Strategy

It’s no secret that a strong customer service strategy is the cornerstone of a successful business. Even if your products or services are exceptional, if the customer experience is tainted with one poor interaction, customer loyalty can be lost.

A stellar customer support strategy is meant to enhance the consumer experience as they interact with your brand. Whether they’re curious about the product and have questions, are making a purchase, or need to return something, the steps to accomplish this should be easy and engaging.

But it’s not enough to simply create a strategy and let it run its course. A company must be constantly working to maintain and improve the customer experiences for continued revenue growth. Let’s explore some of the most effective ways to sustain your customer service strategy.

6 Ways to Maintain a Strong Customer Service Strategy

We all know that consumer relations are an important area for businesses to gain a competitive advantage, improve employee and customer engagement and, perhaps most importantly, retain loyal customers. HubSpot recently found that only a 5% increase in customer retention has the potential to increase revenue by 25-95%.

It’s incredibly important to retain customers, not only because it’s more expensive to acquire new ones, but because repeat purchases have an overwhelmingly positive impact on a business’s bottom line. Here are six ways your organization can maintain your customer relationship strategy to improve the consumer experience and, in turn, retention rates and sales:

1. Continue to Communicate With Customers
From surveys and reviews to VOC and other tracking methods, organizations should be constantly communicating and collecting data to determine customer satisfaction long after they have made a purchase. In HubSpot’s “The State of Customer Service in 2020” report, they concluded that companies with high growth are more likely to understand their customers’ thoughts and sentiments about their brand. Some of the most successful strategies included tracking customer happiness and collecting direct feedback through a satisfaction survey.

Finding this information doesn’t need to be difficult or costly, simply continue to reach out to buyers throughout the customer journey and after-sales process. Ask them to complete quick surveys and monitor reviews to make positive changes and ensure customers feel heard.

2. Close the Feedback Loop
On the topic of feedback, it’s not only important to collect it; companies must also work to acknowledge it. When a customer reaches out to explain their negative experience or writes a less-than-stellar review on social media, there’s an opportunity to improve how they view your brand. According to CMS Wire, closing the loop means a company directly responds to customer feedback, no matter if it’s positive or negative.

Continue and end the conversation by offering to make changes or ask the customer to try their brand again while providing them with a discount to reduce churn. At the same time, if a customer leaves a positive review and a brand responds with a thank you, this can increase brand loyalty and turn passive consumers into promoters. Reaching out to consumers this way is proactive customer service.

3. Create a Longstanding Program
There’s no better way to increase customer and employee engagement than by encouraging them to interact and become brand promoters. Creating long-term programs dedicated to understanding the consumer, are great opportunities to receive and study feedback and turn it into action.

Customer-facing programs, like rewards and referrals, make existing customers feel like their individual experience is important, and introduces new consumers to the product or service in an exciting way from a trustworthy friend.

4. Invest in Self-Service Solutions
In the same 2020 HubSpot report, the company was surprised to find that building self-service solutions is a low priority (No. 10 out of 12 options) among businesses. Self-service solutions essentially help customers help themselves. Just like how a self-checkout at the supermarket can help shoppers who are in a rush and only need a few items purchase them quickly, tools like chatbots and other automation can create a better experience for online shoppers.

They can receive answers to their questions quickly, saving both them and the organization time. As customer expectations continue to grow and service teams must do more, self-service tools help everyone have a better experience and be more efficient.

5. Use Automation to Create a Personal Experience
Maintaining your customer service experience is all about continuously improving the interactions consumers have with your brand, and a big part of that is personalization. At a high level, this means knowing their customer history and personalizing interactions to treat them like a person and not just a transaction number. More specifically, it can also be about providing them with unique offers and opportunities that they would like.

Of course, getting to know a customer personally takes a lot of time and effort. It’s impractical to expect a customer service team to understand the intricacies of each customer, but that’s where having a unified customer data platform and automation can help. Smart chatbots with access to unified customer data can be used to a business’s advantage. While artificial intelligence of this nature isn’t a replacement of your people-savvy staff, they are an easy way to make customers feel heard and make their experience more immediate, without sacrificing personalization.

6. Improve Your Digital Customer Service
As more customers than ever make purchases online, it’s important for companies to improve their digital customer service strategy in hand with their in-person interactions. On top of utilizing automation and self-service tools that can quickly collect data and diagnose problems, digital systems must be integrated with other information stores for seamless customer experience.

Customers require access to support in whatever medium is most convenient to them in the moment. For instance, if they are shopping on your mobile app for the first time and have trouble navigating, there should be an effortless way to contact customer service within the app, vs. having to switch devices or channels. Today’s customers expect an easy and hands-off experience, and digital tools can help businesses achieve this by providing a seamless process for resolving problems.

Strive to Improve Your Customer Service Strategy

As you work to maintain an excellent customer service strategy, you should expect to make changes to your processes along the way. As you receive customer feedback and data, you may uncover untapped opportunities to improve their experience and use their advice to the benefit of your organization.

Customer service technology can help you maintain and improve your approach to customer service. Kustomer empowers your service team to deliver an exceptional and personalized brand experience driven by unified data and customer insights.

There’s an unlimited number of opportunities to impress customers and deliver an experience beyond their expectations, and the right tools help you capitalize on them. We are always keeping up with the latest trends to provide the solutions our partners need, to create, execute and maintain an exceptional customer service strategy. Request a demo today to schedule your quick 15-minute introductory call and learn how Kustomer can help your business thrive.
 

Kustomer Is Excited to Make Its Debut on the CRM Customer Engagement Gartner Magic Quadrant

Kustomer Is Excited to Make Its Debut on the CRM Customer Engagement Gartner Magic Quadrant TW

Last week, the research and advisory firm Gartner published the CRM Customer Engagement Magic Quadrant and Kustomer was announced as a new entrant. The leadership team here at Kustomer couldn’t be more excited. Gaining entrance into this Magic Quadrant is a huge accomplishment and recognizes all of the hard work that the Kustomer team has put into making a stellar product since our inception in 2017. This debut underscores Kustomer’s important role in the space, as we continue paving the way for the next generation of customer service CRM, driving intelligent and scalable experiences.

This is Gartner’s third installment of the CRM Customer Engagement Magic Quadrant, which is defined as: “The market for software applications used to provide customer service and support by engaging intelligently — both proactively and reactively — with customers by answering questions, solving problems and giving advice.”

Each year, Gartner analyzes the market and reviews the most relevant providers and their products and services, placing no more than the top 20 leading vendors in the Magic Quadrant. The process is fairly grueling as Gartner goes in-depth on criteria such as:

Market Presence and Momentum

This category covers vendor market recognition and company growth, and includes areas such as:

  • References: Minimum of 15 references have to be provided that cover an array of clients from different geographical locations.
  • Functional Breadth: Gartner reviews each vendor across seven categories of functionality such as real-time intelligence, automation of engagement, and case management.
  • Market Awareness: Each vendor has to be a recognized player in the industry as demonstrated by potential clients shortlisting them or having a meaningful presence at industry leading events.

Ability to Execute

This category covers vendor product depth as well as financial health and ability to execute a go-to-market strategy across areas such as:

  • Product/Service: Eleven critical capabilities are analyzed here such as case management, digital engagement and usability.
  • Overall Viability: Vendors are examined on their overall financial health and their ability to demonstrate continued investment in the product.
  • Sales Execution/Pricing: Vendors are reviewed on their ability in a variety of go-to-market activities.

Completeness of Vision

This category covers vendors market understanding, ability to innovate, and their geographic strength across areas such as:

  • Market Understanding: Vendors are assessed on how well they understand customer needs and are able to translate those into product functionality.
  • Offering (Product) Strategy: This examines how a vendor approaches product development with an emphasis toward differentiation, functionality and methodology.
  • Innovation: This reviews the vendor’s innovation practices and their ability to be preemptive in pushing away new market entrants.

After evaluating Kustomer across these categories, analysts at Gartner noted, “Kustomer provides a modern customer service platform, connecting interactions and platform-based events. B2C organizations looking to move away from traditional customer service tickets and case management in favor of more first contact resolutions should consider Kustomer. Reference customers indicated that Kustomer delivers on the fundamental essentials with a high degree of reliability and usability.”

Kustomer’s strongest assets highlighted in the Magic Quadrant were:

  • Conversations: Companies looking to move from a case management-only system to a 360-degree view of the customer with conversations at the center.
  • Modernization: Modern platform connecting to many external systems.
  • Reliable and usable: A system with a high degree of reliability.

Kustomer is thrilled to be included in the latest CRM Customer Engagement Magic Quadrant. Says Kustomer CEO Brad Birnbaum, “Kustomer is a modern CRM for customer service, focused on the customer to follow their entire service journey and optimize every experience. The next generation of customer service CRM does more than just manage support conversations. Kustomer is a company’s single record of customer truth, managing and contextualizing data to drive smarter processes that scale your business, not your headcount. We are honored to make our debut in the Magic Quadrant and be recognized by Gartner for our innovative approach to customer service CRM.”

The full report with in-depth findings can be found here.

 

Kustomer Recognized in the June 2020 Gartner Magic Quadrant for the CRM Customer Engagement Center

Kustomer Recognized in the June 2020 Gartner Magic Quadrant for the CRM Customer Engagement Center TW

Evaluation based on ability to execute and for completeness of vision

New York, NY – June 11, 2020 — Kustomer, the omnichannel SaaS platform reimagining enterprise customer service to deliver standout experiences, announces today that it has been named in Gartner’s Magic Quadrant for the CRM Customer Engagement Center (CEC) report, published on June 4, 2020 by the research and advisory firm. This is the first time that Kustomer has been recognized in the report and we believe this recognition underscores the company’s important role in the space, where they are paving the way for the next generation of customer service CRM, driving intelligent and scalable experiences. Vendors in the report were evaluated on seven ability to execute criteria and eight completeness of vision criteria.

According to the report, “consolidation of customer service functionality is redefining the CRM CEC. Artificial intelligence and increased investment in digital engagement are top priorities on vendors’ roadmaps. We researched 16 vendors to help application leaders navigate this increasingly complex landscape.”

Further, “the current reshaping of the customer engagement center (CEC) market is characteristic of the consolidation of the customer service technology market. Customer service and support organizations must deliver consistent, effortless, intelligent and personalized customer service to their customers. The ability to orchestrate customer requests with assisted service, as well as with self-service, is one of the four pillars of great customer service within a leading customer service and support operation. The four pillars of great customer service are: getting connected, process orchestration, resource management, analytics and insights.”

“Kustomer is a modern CRM for customer service, focused on the customer to follow their entire service journey and optimize every experience. The next generation of customer service CRM does more than just manage support conversations. Kustomer is a company’s single record of customer truth, managing and contextualizing data to drive smarter processes that scale your business, not your headcount,” said Brad Birnbaum, CEO and Co-Founder of Kustomer. “We are honored to be named in the Magic Quadrant for the CRM Customer Engagement Center and to be recognized by Gartner.”

Gartner “Magic Quadrant for the CRM Customer Engagement Center,” Brian Manusama, Nadine LeBlanc, 4 June 2020

Gartner Disclaimer
Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s Research & Advisory organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

About Kustomer
Kustomer is the omnichannel SaaS CRM platform reimagining enterprise customer service to deliver standout experiences. Built with intelligent automation, Kustomer scales to meet the needs of any contact center and business by unifying data from multiple sources and enabling companies to deliver effortless, consistent and personalized service and support through a single timeline view. Today, Kustomer is the core platform of some of the leading customer service brands like Ring, Glovo, Glossier and Sweetgreen. Headquartered in NYC, Kustomer was founded in 2015 by serial entrepreneurs Brad Birnbaum and Jeremy Suriel, has raised over $174M in venture funding, and is backed by leading VCs including: Coatue, Tiger Global Management, Battery Ventures, Redpoint Ventures, Cisco Investments, Canaan Partners, Boldstart Ventures and Social Leverage.

 

Why Personalized Customer Service? Because Consumers Demand It

The modern customer wants to buy a product, but they don’t want to be treated like a transaction. They’re expecting an experience—and if that experience is a positive one, then a one-time purchase often becomes a lifelong interaction with a company that understands their wants, needs, pain points and history. Unfortunately, most companies are still living in the early-digital Dark Ages, treating their customers like tickets in a queue rather than individuals with real desires and concerns.

According to a recent Kustomer survey, three-quarters of consumers aged 25 to 34, expect personalized communication from retailers, while only 60% aged 65 and older agreed with this notion. This means that personalization is becoming the new norm, especially with the younger generation, and will only continue to grow.

But instead of marshalling their vast stores of data to proactively identify and engage specific customers, many companies are still relying on outdated customer service models that waste their money and customers’ time. This misguided approach frustrates customers—and can hurt a businesses’ bottom line. Poor customer service costs companies $62 billion a year, and lack of personalization prompted 41% of Americans to switch brands in the last year alone.

On the flip side, companies that truly know their customers—everything from their previous purchases, customer service conversations, and preferred channels of communication—often experience double-digit growth, and nearly half of customers spend more when their experiences are tailored to their particular wants and needs.

To retain customers in an increasingly saturated and competitive digital marketplace, companies must learn to quickly and seamlessly address customer needs and concerns as they arise. In other words, they need to use real-time data to give them a 360-degree view of their customers—and then use that data to deliver relevant, personalized, helpful interactions that make the customer feel seen and heard. This approach will transform customers from flashing lights on hold to real people. And when customers are treated like people, they’re more likely to become not only repeat purchasers, but your most loyal cheerleaders.

To learn how to achieve personalized support in three simple steps, download our full personalization guide.

 

The Connected Customer Experience: Leveraging Data to Drive Hyper-Personalized Experiences and Build Trust

To say we’re living in a customer-centric age is an understatement: companies who fail to prioritize the customer experience are outpaced by their CX-leading competitors by nearly 80%. Additionally, more than half of companies have experienced a serious drop in consumer trust, resulting in an estimated missed $180 billion in potential revenues, according to this Accenture study. There are numerous reasons consumers lose trust in brands they once knew, loved, and purchased from frequently, but 71% of consumers say poor customer service contributes to that trust erosion.

Unfortunately, many tactics that once served an organization well in engendering a customer-first culture simply fail to keep up with the enormous increase in both customer data, and use of connected devices. Two and a half quintillion bytes of data are created each day at current pace, and Gartner predicts there will be more than six connected devices per person as early as 2020. This device proliferation and increase in data results in an overwhelming number of touchpoints that must be tracked and connected to the customer’s buying journey. It’s a tall order, but the organizations who will win are those who can use all of this data to scale the customer experience quickly, efficiently, and effectively, and all on the customer’s terms. It’s not just enough to collect data: it needs to be the right data that can be acted on in the moment.

Working with the customer where they’re comfortable

The digital age has changed where, when, and how customers interact with a brand. What was once a simple cycle of seeing an ad, making a purchase, and repeating, has shifted into a looping journey with the potential for numerous friction points that can turn a customer away from a brand all too quickly. McKinsey describes this journey through four critical areas: consideration, evaluation, purchase, and post-purchase experience. Instead of assuming a consumer will immediately be faithful to the previous brand purchased, McKinsey states that today’s buyer continues to consider new brands available to them. McKinsey adds the element of the Loyalty Loop, which fast tracks future purchases, but in order for a brand to effectively qualify for this shortcut, they must have fostered lasting loyalty with the customer. And 95% of consumers say customer service is important in their choice of brand loyalty. In other words, helping a customer find the answer they need quickly is a significant indicator of whether or not a brand has continued ownership of that customer’s wallet share.

An additional complication is the increase in possible touchpoint locations: digital searches, email, social media, website, and more. In fact, 31% of millennial customers looking for help reach out to a company via Twitter. It’s important for an organization to connect all relevant touchpoints to a unified customer profile in the event of a customer service interaction, or they run the risk of further fracturing the experience and the relationship.

Brands must be willing to look critically at their existing systems to evaluate if they’re truly prepared to handle the significant amounts of data, devices, touchpoints, and the unified view necessary to provide a seamless customer experience. Tools driven by AI and machine learning are the only way to ensure a business can scale to keep pace.

The expectations for customer agents have never been higher; below are ways that AI magnifies data to bolster a support team so they can create optimal customer experiences.

Automate processes and tasks

KPMG has estimated that the service cost reduction with Robotic Process Automation (RPA) is as great as 75%. With the average cost of service centers continuing to rise — voice is $12 per contact, and live chat is $5 per contact — shifting resources to self-service through automation and a knowledge base can result in huge savings. Automation tools can decrease costs to just 10¢ per contact.

It isn’t simply the dollars and cents saved, however, that make automation so impactful to an organization. In one use case, automation can vastly improve worldwide organizations needing to route certain language speakers to agents who can communicate in that language. Additionally, by routing common questions and needs to a self-service portal or base that can both quickly and effectively solve a customer’s problems, agents are freed up to more quickly take on the more complex, nuanced issues that customers face.

While skeptics might be concerned about customers valuing human interaction above all else, according to this report from Statista, 88% of US consumers expect an online self-service portal. In fact, bringing numerous types of customer data touchpoints into one place — and from any resource — creates a more seamless, personalized experience for that customer. This method allows for both speed and a personalized approach to be achieved, and on the customer’s terms.

Augment existing agent support

When a customer dials into a service call center, provides significant information regarding who they are and why they’re calling, and is then directed to an agent for further assistance, the worst possible scenario is that customer then having to repeat all of that information…again. When considering a customer may have also reached out through email and even social media, it becomes even more crucial to use data in the right way. Much like being retargeted by an ad for a product you purchased yesterday, today’s customers are smart and expect organizations to be intelligent with their data. If, after interacting with a chatbot and providing all relevant data, a customer’s issue is escalated to a human agent, the customer expects an agent to already have the necessary context to properly manage the issue. That context should include relevant information like shipping number, previous conversations from both online and offline sources, and previous purchases made, combined into a unified customer profile.

Not only does the full customer data view aid with escalating issues directly, it can even be used to provide recommendations to the agents before even interacting with the customer. Through AI technology, an agent can be given an automated recommendation for how to best handle the customer’s request, eliminating both time and mismanagement; thereby improving the quality, time, and ease of service for both the customer and the agent.

When AI is used to capture data for context, the technology and the human agent become critical partners in providing the right customer experience. It empowers an agent to be a true specialist, who can change the customer’s outcome in a way automation cannot. The marriage between the two is what elevates the customer experience to a level that promotes long-term loyalty.

Proactively boost future outcomes

As a part of the new expectations customers have for service-related interactions, customers expect their preferred brands to be proactive in handling potential issues. For an organization this can be as simple as customer communication that informs of impending weather that will impact a shipment, or as sophisticated as predicting volume needed quarters in advance based on real-time interactions. In order to accomplish this, however, all relevant data must be gathered in a location where it can be acted upon quickly.

One use case could even enable leads and managers to get ahead of issues in-the-moment. For example, as a call is happening, the voices can be translated into text, then analyzed and graded in real time to measure key indicators that identify a call going south. Instead of arbitrarily choosing which calls to QA, or to QA all calls after-the-fact (and risk missing the ones requiring assistance), AI and machine learning can alert a team lead exactly when to jump in and improve the customer interaction as it occurs.

Antiquated technology looks reactively at improvement; the best customer experience requires proactive use of data as the touchpoint interaction occurs, rolling it into the most personalized experience possible.

Customers who have a good experience are three and a half times more likely to repurchase, and five times more likely to recommend to friends and relatives than those customers who have a poor experience. And 59% of respondents to the Microsoft State of global customer service report say that customer service expectations are higher than they were last year. In order for an organization to scale to meet the growing demand, they must provide a seamless omnichannel experience that connects all touchpoints, automates tasks and processes for maximum efficiency, and proactively uses real-time customer data to further create the best experience. Doing so will empower your agents, and build the trust your customers need to remain loyal for years to come.

Connecting all the data to relevant touchpoints and driving a hyper-personalized experience will change how your customers experience you and your product. Tune into our webinar with guest speaker from Forrester where we break down how you can create an elevated customer experience.

 

Leveraging Artificial Intelligence for Customer Service Without Losing the Human Touch

Customers have high expectations when it comes to the level of service they demand from brands. While the American Express Customer Service Barometer found that Americans are willing to spend up to 17% more on businesses with excellent customer service, the top reason most customers switch products or services is because they feel unappreciated by the brand. In fact, 33% of Americans are inclined to switch to a different company after a bad experience.

Unfortunately for companies, the cost of human support is high. Introducing artificial intelligence (AI) into operations is one way companies can control costs while improving their service abilities and maintaining the human touch that makes customers feel appreciated and valued.

What Is AI Customer Service?

While AI and machine learning may at first appear to threaten the customer service industry, they actually have the power to make customer service agents’ jobs less time-consuming and more fulfilling.

Integrated AI can instantaneously retrieve the data an agent needs, while the agent or support team deals directly with the human side of customer service. This eliminates the need for human agents to run multiple systems simultaneously to address customer inquiries. Rather than employ agents to work 24/7 in a call center, AI can be used to field and classify calls and messages so human agents are then able to work more reasonable shifts with increased efficiency and reduced physical and mental stress.

Through intuitive machine learning that constantly works to improve itself, AI allows companies to be present to the very best of their abilities along every step of the customer journey.

How Are AI and Machine Learning Being Used in Customer Service?

There are plenty of reasons why AI and automation should be loved, especially when it comes to customer service capabilities. Here are a few ways the technology is already being used:

Chatbots

Everyone has had the experience of needing a simple question answered by a brand, only to dread having to jump through customer service hoops just to get someone on the phone who may or may not have the answer. Conversational chatbots can make these conversations more seamless. Not only do conversational platforms help cut costs, they also can help your customer service scale and enable your agents to have more meaningful and productive conversations. By using chatbots to aid your live chat operations, your business will be able to engage customers in real time without the need for an around-the-clock staff.

Amazon, for instance, uses chatbots that leverage the data the company collects on all of its customers and their past orders. By allowing chatbots to access information about the customer’s past preferences, you can have the chatbot interact with customers up to the point where an agent is needed. Once the conversation is transferred to an agent, they can pick up where the chatbot left off.

Eventually, you can train your chatbot to not only acquire customer information, but also recommend the actions customers and agents should take next. If a customer simply needs a common question answered about a product they already purchased, the chatbot can direct them to a FAQ rather than contact an agent. This saves the human agent’s time and allows them to make better use of it dealing with more complex customer queries. All chatbot interactions can be automatically tagged in your AI system so they’re easy to track and reference, and can be used to improve future recommendations.

Robotic Process Automation

Robotic process automation (RPA) can be used to handle the necessary, but routine tasks that keep support agents from interacting with customers in meaningful ways. By taking care of low-priority, mundane tasks, RPA helps customer service agents reclaim time in their days that would be better spent handling high-value customers or fully addressing complex questions without feeling rushed.

RPA works across multiple systems to track user actions within an application to complete and perform tasks ranging from automatically replying to emails to routing conversations. The improved efficiency from saved time on menial tasks also saves companies money. Aside from cutting costs, RPA has the power to increase revenue by speeding up the rate at which customers are able to make purchases through your company.

Agent Specialization

In the past, automated phone systems performed data dips, moving customers through a phone tree where they were asked to “press 1 for a current reservation,” “press 2 for reception,” “press 3 to make a new appointment” or something similar. The flaw in this system is that the information collected was never handed off to the agent, and the customer would have to repeat themself once they were connected with a human. AI eliminates this unnecessary process — if a customer is calling about a product that’s discontinued, for example, there might not be a need for a human agent to talk to the customer only to relay that same information. This saves time for both parties by supporting your human customer service agent and saving the customer from exasperation.

Using AI to capture information about the customers and pass along only the absolutely necessary parts of that information allows agents to have more meaningful conversations and become more knowledgeable about the areas of the business that matter.

If a customer still wants to talk to a human even after discovering their product is discontinued, the agent can immediately begin the conversation by offering recommendations for other products the customer may like. AI doesn’t eliminate the need for humans, as many people incorrectly assume when they hear talk of using AI in customer service. Instead, it augments the human team and allows them to be better at their jobs.

Monitor Support Operations

When you use AI to monitor support operations, you can predict when conversations may start to turn from positive to negative. This insight allows managers to intercede accordingly, and no longer requires them to randomly audit customer service calls to regulate quality.

AI can also help monitor which responses result in reopened tickets. If response A, for instance, tends to resolve inquiries quickly, but response B results in the ticket repeatedly being opened, the system can recommend you eliminate response B in order to set your agents up for success. Managers and executives can use the data generated by AI to oversee customer service operations in a more clear, efficient way, improving day to day operations for everyone involved.

What Are the Advantages of Automated Customer Service?

Customer satisfaction is directly linked to the service experience, and so it’s important to make sure the customer journey is as seamless as possible. Integrating AI into your customer service isn’t about replacing humans. Rather, it is about arming your customer service agents with the information they need to have purposeful conversations with your customers, and using data to personalize your customers’ experience with your brand.

Incorporating AI customer service not only improves your relationships with your customers, it builds trust and increases brand loyalty. This means more repeat customers, and more word of mouth referrals for your business.

When you build an incremental strategy to roll out AI in your organization and optimize according to data collected, success is sure to follow. Using AI to build a more complete view of a customer’s relationship with the brand helps companies meet high expectations for exemplary service, and come across as anything but artificial.

Kustomer Offers AI Business Solutions

The Kustomer platform stands out among customer service solutions for the comprehensiveness of available customer data and its business process automation that is driven by branchable, multi-step workflows and custom business logic. Kustomer IQ is a groundbreaking new service that integrates machine learning models and other advanced AI capabilities with the Kustomer platform’s powerful data, workflow and rules engines to enable companies to provide smarter, more personalized, automated customer experiences with increased efficiency.

Kustomer IQ integrates machine learning, natural language processing, predictive analytics, deep learning and multi-dimensional neural network mappings as a part of its AI suite. Natural language processing involves the interactions between computer and human language, and dictates the extent to which computers are able to process and analyze large amounts of natural language data. Natural language processing is used along with text analysis, computational linguistics, and biometrics in sentiment analysis, also known as opinion mining, which helps companies keep a finger on the pulse of their target audience’s interests and values.

Companies that employ the AI suite are then able to use their own data to train Kustomer IQ’s predictive machine learning models, automatically customizing them to address their own business needs. With each new interaction and piece of data, these models learn and self-tune increasing their predictive accuracy and improving the decision making of both the models themselves and the customer service organizations using Kustomer.

Through Kustomer IQ, companies will be able to automate manual, repetitive tasks and essential processes of their customer service experiences. In addition, Kustomer IQ changes the way companies manage knowledge during a service inquiry by surfacing relevant insights and predicting future outcomes to enhance customer self-service, facilitate real time intervention through recommendations, and streamline proactive outreach. By automating everything and providing the right information at the right time, Kustomer IQ frees up agents to focus on more complex and emotional customer interactions, resulting in reduced costs and faster resolution of calls.

Features of Kustomer IQ include automated conversation classification, queues and routing, customer sentiment analysis, automatic language detection, suggested agent shortcuts, customer self-service, conversation deflection and workforce management. If you’re interested in learning more about Kustomer IQ and how it can help elevate your business’s customer service capabilities, download our ebook, explore our website and get in touch today.

Kustomer offers real-time, actionable views of customers, continuous omnichannel conversations, and intelligence that automates repetitive, manual tasks to make personalized, efficient and effortless customer service a reality.

 

Customer Service for the Digital Age

Customer Service for the Digital Age Blog Header

From transactions to experiences, see how today’s customers are changing customer service

The digital age has forever changed the way companies do business. Direct-to-Consumer brands now make up 40 percent of the manufacturers, cutting out middlemen and offering personalized, nimble services and products to their customers. Amazon has redefined our notions of speed, convenience and selection, and companies like Airbnb, WeWork and Car2Go have revolutionized the economy allowing users to exchange the downsides of ownership for the upsides of sharing.

Meanwhile, companies like Birchbox and StitchFix have built up sizeable customer bases—and built-in loyalty—through subscription box services, and companies from Glossier to Parachute are joining the $50 billion pop-up industry, creating customer experiences that unite brick-and-mortar shopping experiences with the nimbleness of online shopping. The result? A business landscape where convenience, personalized service and customer experience are king.

New Generation, New Customer Expectations

But the digital revolution has affected more than just the way that businesses interact with customers. It has also changed what customers expect from businesses. More than three quarters of Americans now own smartphones and communicate regularly through social media platforms like WhatsApp, Instagram and Facebook. Modern-day consumers live in a world of interconnected platforms, instant communication, and personalized experiences—and they’ve come to expect the same from brands. And, as millennials become key customers and Generation Y gives way to Generation Z, expectations for quick, easy and customer-centric customer service will only grow.

Already, nine out of ten customers say they prefer to contact a company through messaging, 70 percent of customers say speed a top priority in their shopping experience, and 64 percent say that reducing the effort it takes to engage with a business is a key concern. Ultimately, however, the millennial customer is looking for more than just a product—however good it is, or how speedily it’s delivered. They’re looking for a customer experience, a lifelong interaction with a brand that is more about relationships than transactions.

Out With Old Customer Models, in With the New

In this new business landscape, businesses cannot rely on old models of customer interaction and support. To survive in the world of Amazon and eBay, where inventory is endless and speed is the rule, they must distinguish themselves by finding proactive and creative ways to build long-term relationships with customers over time. And to do this, they have to find new ways to identify and track the changing needs, experiences and expectations of their customers, providing fully-integrated, personalized, 360-degree support over the customer’s lifetime.

Moving from Transactions to Relationships

To provide this kind of support, companies must stop seeing customer interaction as a transaction and start seeing it as an ongoing conversation. Customers are not reducible to tickets, or to emails in a queue. They are complex human beings with a variety of motivations, and they bring a unique history to every customer service interaction.

Unfortunately, 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. In this model, there’s no way to store, share and track the customer’s history and past conversations, so customers are forced to repeat their issue to each new service agent. And this is no way to build a relationship!

Imagine if every time you met a new person, you had to tell them your name and life history all over again. It would be exhausting and insulting—and yet, it’s what companies expect customers to do each time they call with a question or problem. No wonder customers rank having to repeat information as their number one customer service complaint!

Know Your (Whole) Customer

To attract, satisfy and keep new customers, companies need to know who their customers are, where they’ve been and what they need. Understanding the context of a customer’s call—from the number of times they’ve ordered a certain product to the issues and conversations they’ve had with agents in the past—allows companies to deliver a more efficient, more personalized, and more proactive service.

Creating an omnichannel system that collects all of the customer’s history in one place transforms the customer service interaction, allowing agents to quickly identify problems, suggest solutions, and preempt future issues. Seeing that a customer has a long history of buying a certain product, for example, can allow an agent to suggest other products they might enjoy, while knowing what prompts a customer to engage with customer service can help the company direct them toward the best platform for resolving their issues. This approach doesn’t just save time by eliminating the need for unnecessary repetition. It also allows companies to build customer histories that ensure proactive, personalized and conversational service—and long-term customer loyalty.

In the modern business climate, the companies that will succeed are the ones that meet people where they are: anytime, any place, and on any channel. But the most successful companies will go beyond offering efficiency and access to a whole new philosophy of customer engagement, building systems that allow them to understand and serve the whole customer. See how Kustomer is setting the standard for customer service in the digital age in this on demand webinar.

 

CIOReview: A New Model for Holistic Customer Engagement

Kustomer is featured as one of the 20 most promising CEM solutions by CIOReview

In the B2C landscape, companies have several customer service and support vendors to choose from and selecting the right one means everything when their objective is to retain customers and grow the business. Kustomer helps companies engage with their clients holistically and efficiently through a next-generation omnichannel customer platform for the people-first enterprise. Read more about Kustomer and why they are listed among the 20 most promising CEM solution providers for 2019, by the CIOReview here.

Deliver effortless, personalized customer service.

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