Call Center Metrics

Agent churn: It’s not you, it’s your employee engagement strategy

Jeff Gallino, CTO and founder of CallMiner

It’s no secret that contact centers are infamous for their high turnover rates, which average 45 percent year-over-year—more than double the average for all U.S. occupations. What most companies don’t realize, however, is that this doesn’t have to be the status quo. Identifying the signs an agent is about to check out and having solutions in place to change the outcome can dramatically reduce agent churn well before they decide to give their notice.

If retention isn’t motivation enough, research shows that an astonishing 77 percent of employees worldwide are not engaged, which, according to Gallup, can cost upwards of $605 billion in lost productivity per year. There’s incredible value in spotting non-engagement signs and addressing the lack of productivity that often lead to agent turnover early. This can ensure strong employee engagement and stop the turnover cycle. Not only will it save billions in lost revenue, it will promote better customer experiences through an organization’s No. 1 advocate—its employees.

Warning Sign 1: They go into silent mode

One of the primary indicators of an unengaged employee is silence. Silence is commonly caused by a lack of agent training, but this isn’t only applicable immediately after onboarding. Agents require extensive knowledge of your company’s products and services; however, many employees miss out on new product information because organizations neglect to offer continual education programs.

Employee silence can also happen outside of customer interactions, as managers of unengaged agents tend to notice an increase in the amount of time between each call. Although this doesn’t usually stem from a lack of company knowledge, it’s a telltale sign an employee is experiencing a lack of motivation. Distant employees are comfortable with doing the bare minimum to get by and will likely keep their heads down, and calls quietly recording, to purposely limit the number of customers they interact with.

Warning Sign 2: Under (but not terrible) performance

Decreased performance in areas such as average handle time (AHT), call volume, and following a script could all point to a lack of engagement that, if not fairly addressed, can lead to lower NPS scores, turnover, and even compliance risks.

Sometimes, however, quantifiable performance metrics aren’t the sole indicator of an agent’s performance—as agents aren’t at-fault for many of the disruptions that happen during the call. Companies need to take training, tools and technical factors into consideration when it comes to gaps in an agent’s performance and use contextualized scoring methods to accurately and thoroughly understand where performance issues are occurring and the root cause.
Warning Sign 3: Inconsistent feedback on their work

According to research by Gallup, less than 21 percent of employees strongly agree their employee implements fair evaluation processes. Contact center agents handle dozens of calls per day, but many outbound surveys and manual quality management reviews only account for three to five percent of an agent’s interactions—leading to ill-informed assessments of their overall performance.

In addition to being inaccurate and irregular, many legacy feedback systems are impersonal. Call center feedback usually only involves reprimanding, despite the employee’s desire to be recognized for exceptional service. The lack of effort put into celebrating successes usually causes agents to feel unappreciated and less likely to advocate for the business.

How to Stop the Cycle

Proper training—during and after onboarding: Before sending your agent out on their own, how do you know you’ve given them the proper training to handle the influx of problems they’ll face out on the floor? To keep up with the fast-paced environment of the contact center, they need to stay informed, especially if your products and services are constantly evolving. Each one of your employees is unique and despite what’s suggested by legacy employee education programs—their training processes should be as well. Speech analytics data can help managers offer personalized training programs in accordance with agents’ specific needs, even after onboarding.

Tools to optimize performance: Aside from training, contact center operators need to ask themselves whether their agents have the resources they need to succeed. While two-thirds of customers dial in with a problem, some caused by lack of self-serving options on other channels, they expect your agent to be able to solve, lack of resources is one of the biggest factors leading to job-related stress. It’s impossible to guide each of your representatives through every single interaction—but tools and customer engagement analytics software can take information in real time and apply historical data to provide your agent with better insight and guide them through the call based on the context of the conversation.

Real-time feedback: Agents should always know where they stand when it comes to their performance. A discussion a week, a month, or a year later about a specific interaction with a customer will not help anyone succeed. Having an analytics tool removes any sense of unfairness that’s usually associated with random selection by providing an inclusive and holistic view of your caller engagement data, ensuring a stronger voice of your employee. It also helps with coaching by automatically scoring 100 percent of your agents’ customer interactions to pinpoint the exact areas they need to both improve customer experiences in real-time and add business value in the long run.

While employee turnover is one of the biggest problems companies face today, employee engagement is just as impactful to your business’s bottom line, as those with highly-engaged workforces outperform their peers by nearly 150 percent. All problems associated with the warning signs of an unengaged employee point to a similar source—the company’s inability to fully understand the needs of their employees from both a personal and professional perspective. Similar to how analytics and artificial intelligence work to strengthen customer loyalty, these tools and concepts can help personalize your organization’s approach to agent management—offering a fully-developed employee engagement strategy that involves critical coaching and feedback procedures. In doing so, companies can foster a positive work culture and keep employees from feeling as though they are ‘just another number’.

4 Contact Center Technology Trends to Pay Attention To

Knowing the tech trends that have been overtaking the market is different from actually making moves to adopt those trends. Don’t be like so many other contact centers out there that lag behind when it comes to customer expectations and contact center trends. Instead, stay on top of the newest technologies and solutions to improve the customer experience now and in the future.

Here are 4 contact center trends to know now and as you move into the new year.

  1. Migration to the cloud.

The cloud itself isn’t a new technology, but more and more contact centers are realizing the importance of migrating their system to the cloud. If you stick with your on-premise contact center system, you’ll limit your ability to manage several locations and to add more communication channels.

  1. Full adoption of omnichannel.

Just like with the cloud, omnichannel isn’t exactly a new idea, but now contact centers are actually taking the steps to make it a reality (instead of just educating themselves about its benefits). The silos that exist between billing, customer service and support have to be broken down, as do the separations between your assisted service and self-service channels. Slowly rolling out omnichannel solutions only keeps data siloed (and customers annoyed) for longer; instead, find the right technology that will let you marry all of your channels at the same time.

  1. Smarter IVR solutions.

IVR is one of those technologies that’s always seeing new innovations and improvements. These include:

  • Better personalization based on context to resolve more issues within the IVR
  • Identifying customers from caller ID to reduce the number of necessary identification steps
  • Speech recognition to determine level of stress beyond curse word cues
  1. Better testing methods for chat bots.

Chat bots are now being used by contact centers for first line interactions, which means you also need more advanced ways of measuring outcomes. A/B testing, which has traditionally been used just with digital marketing, is now used to optimize chat bots so they can continue to offer more advanced support.

By combining a willingness to be adaptable with a culture of constant improvement, your contact center can continue to keep up with technology changes, now and in the future. You’ll also set yourself up as a strong competitor in the industry while retaining both your workforce and your customer base.

What’s on Your Supervisor Screen? Agent KPIs to Watch

In your day-to-day contact center operations, everything under the sun can be measured, reported on, and popped to your screen. When you’re bombarded by data, only the most-used KPIs deserve a spot on your agent desktop. How do you know which KPIs are the most valuable to your team, contact center, and business?

A Key Performance Indicator (KPI), also called a metric, is a value that you can measure, one that shows just how effective your business is at achieving its goals. If your top business goal is to boost customer satisfaction, for example, you’ll probably want to keep an eye on KPIs such as call abandonment rates, survey responses, average handle time, and so forth. Contact centers use metrics to collect specific data from every interaction, service, queue, agent, survey, and more.

In any contact center, the real-time metrics that supervisors use on a daily basis generally fall into common categories, such as these:

  • Agent metrics
  • Campaign-specific metrics
  • List metrics
  • Service metrics
  • Skill metrics
  • Team metrics

Nestled in each category, there can be dozens, if not hundreds, of metrics, and the ones that matter really depend on your company’s goals.

Your Agents, At-a-Glance

Do you know what your agents are doing, right now? Supervisors need dashboards and wallboards with real-time KPIs that signal which agents and teams need to be monitored. And when there are 50+ KPIs to choose from, how do you know which ones are the most important? The more metrics you add to a dashboard, the less useful a dashboard becomes. In this blog, we will focus on some of the most-useful real-time agent metrics for contact center supervisors to watch.

Agent State

An agent’s state indicates whether or not the agent can handle an interaction. It may seem basic, but this information is very useful to the supervisor monitoring a team of agents working both in-house and remotely. Agent State provides an at-a-glance look at whether agents are ready, not ready, busy, idle, or doing after-call work. For agents in the Not Ready state, this metric also provides the reason (e.g., lunch, break, meeting, etc.).

Agent State shows what every logged in agent on your team is doing right now. If all your agents are busy, you know why the queue is filling up with calls, or why callers are still on hold. Likewise, if all your agents are ready yet the queue is backed up and customers are not being helped, you have reason to suspect your services are not running.

Time in State

Time in State is how long (in minutes and seconds) an agent has been ready, not ready, and so forth. Generally, supervisors will know what duration is acceptable for service calls, chats, breaks, and after-call work, and the Time in State metric will give them a cursory view of who’s working as expected, who’s slacking, and who needs help. For example, the supervisor may want to check in on an agent who’s been in the Not Ready state for 24 minutes, with no reason given.

ACW Time

After-call work (ACW) consists of all the tasks that agents must do before they can complete the interaction, tasks such as setting a disposition, creating contacts, writing notes, setting follow-ups, and more. These tasks are important but tedious. Agents in the ACW state cannot handle a new interaction until this work is done.

ACW Time can show you which agents and teams are not accepting new interactions because they’re still working on the old. High ACW time can indicate it’s time to relieve your agents of this type of work and automate the tasks instead.

Sentiment

Displayed as faces that are happy, neutral, or angry, sentiment provides a quick glimpse at the general mood and satisfaction level of your customers, in real time. It’s not the sentiment of your agents. Happy faces mean happy customers, and angry ones spell low customer satisfaction and poor reviews.

When agents chat with a customer, for example, the system is utilizing Natural Language Understanding and other cognitive technologies to assess the customer’s satisfaction level. Positive keywords, statements, and expressions become happy faces in the supervisor’s monitoring screen and in the agent’s active interaction. Sentiment is also saved in interaction records and chat transcripts such as this.

The sentiment of an unhelpful chat session would immediately appear on the agent’s screen within the chat as well as on the supervisor’s screen. A slew of angry faces in the supervisor’s list view of active agent interactions means the supervisor should monitor those agents and step in to help.

Customer Satisfaction

Customer Satisfaction (CSAT) is the average result of surveys where the customer satisfaction question has been answered. The best way to know how your customers feel about your service, agents, products, or anything else, is to ask them.

Net Promoter Score

Net Promoter Score (NPS) is the percentage of points for all surveys where a response was given for the contact satisfaction question. The percentage is calculated out of the number of interactions, where surveys exist, by subtracting the percentage of promoters (values 9 and 10) by the percentage of detractors (values 0 to 6).

You want to have a high NPS at all times. Customers are more likely to respond positively to a contact satisfaction question if they had a good experience with a knowledgeable, helpful agent. For contact centers, NPS is key way to measure success

Contact Center Driven by Insights

Agent metrics provide detailed information about agent performance and customer satisfaction. These KPIs provide the insights you need for improving agent engagement and elevating the customer experience.

After all, customer experience hinges on empowering agents with the right training, tools, and service model. Bright Pattern’s omnichannel contact center software helps empower agents with unique tools that facilitate better conversations, boost agent performance, and deliver higher returns in customer satisfaction and agent engagement. Having a unified and powerful agent desktop that displays important KPIs helps to keep supervisors focused on teams and agents focused on customers.

You can learn more about how monitoring agent metrics can help improve agent engagement and customer service by downloading the Bright Pattern e-book.

6 Contact Center Technologies to Delight the Customer

Sometimes you have to rethink how you service clients in order to continue improving the customer experience. These six contact center technologies are sure to enhance each customer’s journey, which helps retain them, improves word-of-mouth marketing and elevates your reputation.

  1. Call-Back

If a caller wants to speak with a live agent even though there’s a long wait time, let them opt to get a call back when an agent is available. Allowing the customer to continue with whatever they were doing, instead of having to hang on the phone for several minutes, will keep them happy and let both the customer and the agent deal with the issue efficiently.

  1. Contact Routing Software

Contact routing software passes customers along to the right agent quickly. This technology encompasses all communication routes, including chat, email and voice. Instead of speaking with an agent and then being put on hold to be transferred, the software gets the customer to the correct agent the first time

  1. Interactive Video

When customers call to speak with a live agent via their mobile device, interactive videos play ads, entertainment or promotions during hold time. Not only does this keep the customer’s attention, but it may answer one of their questions or tell them about a product or service they might want.

  1. Two-Way Social Media Conversations

Brands have known for a while that they need a presence on social media, but now customers want a two-way conversation. It’s no longer acceptable to give customers a place to go just so they can provide feedback or learn more about you. Your agents have to actually respond now, quickly and in a personalized way.

  1. Unified Communications

“Omnichannel” has been a buzzword for a long time, but not enough companies are truly embracing it yet. The best customer experience is when the agent can be reached on any device and access up-to-date purchase, service and communication history. Going into a conversation and already having context is imperative.

  1. Voice Response Software

The days of having to listen to lengthy menus and submenus, trying to remember the different numbers to punch in your phone, are gone. With integrated voice response software, the customer can access the right self-service selection by speaking in a natural way.

Contact centers that want to compete need to embrace digital transformation and modern technology.

Customer Journey KPIs Every Contact Center Should Track

 

The customer journey can be a difficult thing to map and understand. With so many touchpoints along the journey, the map isn’t predictable and linear, yet it’s still necessary to monitor and analyze. These Key Performance Indicators (KPIs) will help you gain insight from the customer journey and move on to improve it.

Customer Effort Score (CES)

Even if a customer prefers self-service to live agent support, they don’t necessarily want to put a ton of effort into solving their own issue. Self-service shouldn’t be a difficult-to-implement alternative to normal customer support. Instead, it should meet the needs of the type of customer who seeks out self-service via quick, easy-to-find answers and the ability to make changes sans agent assistance.

Customer Satisfaction (CSAT)

Some of the most important customer journey touchpoints will occur when the customer interacts with a support agent. CSAT is the measure of the customer’s satisfaction before, during and after they contact customer service. If CSAT scores are dropping, it may be time to look closely at agent productivity, ticket management and self-service options.

Net Promoter Score (NPS)

The NPS will tell you if your customers are going to recommend your products and services to others. You have to go deeper here, though – why will your customers recommend your products and services, or what it is that’s keeping them from doing so?

Customer Churn / Retention Rate

Customer support teams for subscription-based products and services have to pay special attention to retention rate. If you see a lot of customers leaving around renewal time, it’s necessary to figure out why you lost them. What part of the customer journey is causing customers to change their mind? There’s a snag somewhere.

Customer Success

Customer Success isn’t a single KPI, but instead a customized KPI program based on your specific business, customers and goals. A Customer Success strategy may include Up- and Cross-Sell Rates; Average Revenue per Customer; or Rate of Adoption, which starts with defining beginner, intermediate and advanced customers or users. You may also want to include Retention Rate, NPS and CES in your customer success KPIs. Think of Customer Success as an overarching customer journey strategy based on what success means for you.

Customer journey KPIs may be difficult to track, but they come with a big benefit – often, improving one will have a positive impact on another.

3 Contact Center Metrics Improved by Predictive Analytics

Predictive analytics predict future events by combining various techniques that analyze historical and current patterns. Predictive voice analytics can have a major positive affect on integral contact center metrics, including customer retention, follow-up call success and quality assurance.

Customer Retention

One of the customer service industry’s main goals is customer retention, and experts believe that it costs more to acquire a brand new customer than to keep an existing customer. Predictive voice analytics, which analyze the customer’s voice during customer-agent interactions, can determine if the customer is at high risk for ending their relationship with the company altogether. It can then inform the agent that they need to put more focus on retaining the customer. On the flip side, predictive voice analytics can also tell which agents aren’t doing enough to keep the customer coming back. This is more effective than random checking for quality assurance, which can take a long time to identify poor-performing agents.

Follow-up Call Success

Often, the first contact with a customer isn’t the one that has a positive outcome (i.e. a sale); it’s the follow-up call that proves to be more advantageous. However, it’s difficult to know which customers are a priority for follow-up contact. Instead of leaving it up to your agents to determine which customers are worth a follow-up call, predictive analytics can analyze past interactions and study voice features to determine if the customer’s tone and behavior predicts a favorable outcome during the next interaction (like making a payment or finalizing a sale). Predictive analytics can create a ranked list of customers, organized by their likelihood to say “yes.”

Quality Assurance

Predictive analytics are a richer way of assessing quality assurance than traditional methods. Routine QA testing often ignores customer patterns, and it is also unable to learn in real-time. Predictive analytics, however, can analyze all types of data, both structured and unstructured, to give a well-rounded view of agent behavior and how it impacts the customer. All customer-agent communication is assessed in-the-moment, allowing the contact center to get an accurate view of agent performance immediately instead of having to wait several weeks.

Contact centers can’t just gather metrics to assess their current performance and then call it a day. They must also use what they’ve learned from the past to create goals for the future. Predictive analytics can help shape those goals realistically.

 

 

5 Contact Center Trends to Watch

Contact centers have a lot of contradictory goals to juggle: focusing on both employee and customer happiness; modernizing while still utilizing helpful legacy systems; and upholding security while being open-minded enough to evolve. Contact centers are almost always in some sort of transitional phrase, with late-2017 being no different. Here are five trends you should either be familiar with or keep an eye on moving forward.

1. Omni-channel, not multi-channel, service.

Some contact centers mistakenly think that offering multi-channel service means they’re immediately able to deliver omni-channel support, but the two are quite different. Omni-channel services takes those multiple channels and seamlessly integrates them. Agent-customer interactions can be switched to a different channel mid-communication without losing any relevant data.

2. New digital channels.

Customers want convenience, which means being able to interact with customer support when they’re on-the-go. Emerging digital channels have to be adopted by contact centers, including mobile apps and web chat. These channels must be adaptable and easy to use, too, and they have to make it simple for customers to troubleshoot on their own and, when needed, get in touch with a live support agent.

3. Additional performance metrics.

Most contact centers have strategies in place to measure voice and call quality, but since digital channels are still relatively new, measuring them isn’t as commonplace. Understanding how agents perform on digital channels, including mobile, live chat and social media, can help to increase agent productivity and improve the customer experience.

4. Dependence on the cloud.

Though many contact centers have switched over to the cloud, others are still relying on their antiquated legacy systems. According to Customer Think, reliance on the cloud is about to increase dramatically, particularly over the next four years. More contact centers will move to the cloud, allowing them to scale globally, improve their data security and increase their efficiency.

5. Two-way conversations on social media.

The ways customers want to connect with brands on social media has changed – they now want to engage in a back-and-forth conversation with support instead of just observing the content a brand posts. Contact centers will need to train agents in how to chat with customers on social media platforms, both publicly (like on a Twitter thread) and privately (like on Facebook Messenger).

 

5 Tips for Root Cause Analysis in the Contact Center

The best way to solve a problem is to dig deep and find out where it started in the first place. Often, what you see of a problem is a symptom, not the cause. Here are five steps you can take to improve your contact center’s root cause analysis.

  1. Consider acoustic issues.

Root-cause analysis should take acoustic factors into account. For example, if the call has long periods of silence, this could point to a problem with the system. If the contact center agent can’t access data quickly enough or if there are problems with IVR, a slow system may be the problem.

  1. Flag conversations that are abnormally long.

Speech analytics will let you sort through calls based on parameters like duration and repeated calls. You can also find calls where specific keywords are mentioned, like those that are normally associated with a complaint. This will let you know which calls need the most attention.

  1. Monitor data in real time.

Accessing real time data can help you spot and stop issues early. If a new sales or marketing strategy launches and then phone calls start coming in within an hour or two, you’ll know that there’s a problem with the launch that must be fixed. Real time data lets you identify trends as they emerge, giving you the opportunity to stop a problem in its tracks.

  1. Sort problems into categories.

As you start to uncover the main problems customers are having, you can segment them into categories, such as product defects, customer education and marketing communication. Then, you can meet with specific teams to come up with targeted strategies to solve the problems.

  1. Understand the context of the situation.

Relying on word count frequency isn’t enough – the terms and phrases that are being used have to be understood contextually, too. Knowing the context of a problem instead of just the hard data will allow you to pinpoint the situation that caused or contributed to it.

Knowing the average number of complaints your contact center receives on a weekly basis is just a start. You have to figure out the root cause of the complaints in order to effectively tackle them and prevent them in the future. Root cause analysis is a way to solve prominent issues instead of merely putting a Band Aid on them.

3 Contact Center Metrics Worth Tracking

Analytics reporting systems churn out a ton of data for contact centers to work with. Having all of that information at your disposal can sometimes be a hindrance, though, particularly if you don’t know what to look for. Relevant data should never go under-utilized because less important analytics are in the way.

What is the Real Potential of Contact Center Data?

The data with the most potential will help the contact center take the pulse of their own performance and compare it to that of their competitors. It will help create new performance goals to work toward. It will also identify any gaps that need to be filled and weaknesses that need to be fixed.

Which Key Performance Indicators (KPIs) Should We Track?

Contact centers have the ability to track upwards of 25 metrics at a time. Without being diligent about which metrics will genuinely make a difference, quantity can easily trump quality. Here are three KPIs that matter for practically every contact center:

  1. Customer Satisfaction

Customer Satisfaction is an excellent barometer for determining how well a contact center is doing. A Customer Satisfaction survey can find out why a customer may be dissatisfied, giving the contact center the opportunity to fix any recurring problems. Customer Satisfaction analytics are also affected by several other metrics, including Call Quality and Handle Time.

  1. First Contact Resolution (FCR)

FCR is another big influencer on Customer Satisfaction. Often, when Customer Satisfaction scores are too low, improving FCR could solve a large part of the problem. Offering incentives to agents, improving training programs and developing helpful knowledge bases may all improve FCR.

  1. Agent Satisfaction

When agents’ needs are being met, there is less absenteeism and turnover, plus higher rates of FCR. This also positively affects customer satisfaction. Aim to measure Agent Satisfaction twice a year and to mentor and train employees whenever the data deems it necessary.

Putting it All Together

Knowing which data is important will help you answer the most important question: how well is your contact center performing? The Aggregate Service Desk Performance metric grades a contact center’s overall performance. By combining data from the other KPIs, a combined score is determined. While each important KPI should be monitored separately, the aggregate score is a good all-inclusive metric for learning if the contact center’s performance is rising or dropping over time.

Consumers “unfriend” social media for customer service, new survey finds

Consumers “unfriend” social media for customer service, new survey finds

By Micha Catran

If you’ve spent any time on social media – Twitter and Facebook especially – you’ve likely seen posts from consumers less than happy with their recent customer experience. And sometimes a social post can be the quickest way to get a response from a company.

Yet, surprisingly, social media is among the last places consumers want to go for customer service, according to a new survey commissioned by NICE and the Boston Consulting Group (BCG).

The NICE/BCG 2016 Consumer Experience Report offers a snapshot into the attitudes and behaviors of more than 1,700 consumers between the ages of 18 and 65 across the U.S., the U.K., the Netherlands, France, and Australia.

And the decline of social media wasn’t the only note worth taking for brands looking to improve their customer service. Let’s look at some of the major findings and what they mean for customer service in 2016 and beyond.

Social media customer service drops off

Daily, weekly, and monthly use of social media channels doubled between 2011 and 2013, yet those same categories declined between 2013 and 2015. At the same time, the number of respondents who never use or are not offered social media customer service rose from 58 percent in 2013 to 65 percent in 2015.

Respondents who do not use social media cited a number of reasons why: It takes too long to address issues, said 33 percent. It has limited functionality, reported 32 percent. It isn’t feasible for complex tasks, according to 30 percent. Social media was the channel with the highest percentage of abandons in both 2013 and 2015, with the number rising from 32 percent to 42 percent over that period.

Americans have low customer service expectations compared to the rest of the world

The survey asked respondents to rank 25 customer service factors as essential, non-essential, or exceeds expectations. Australians and Europeans thought it essential that they be automatically routed to the correct customer service agent without being transferred multiple times, and that their service provider rep be aware of their past three to five interactions with the company to tailor service to their needs. Americans, on the other hand, said all of those actions would “exceed expectations.”

In total, Americans surveyed ranked only 15 out of 25 factors as essential, while other countries’ respondents expected anywhere from 21 to all 25 attributes.

While American respondents don’t seem to mind waiting for multiple call transfers or repeating their information, having issues resolved immediately was cited by other countries and all industries, genders, and ages as the top factor in a perfect experience, valued by 51 percent of respondents.

Other important factors include reps knowing what consumers need and providing an immediate solution, forwarding information and actions from department to department, and knowing what consumers already did through a self-service channel.

Other customer service findings of interest

Respondents expressed decreased satisfaction and success since 2013 across the board with all contact channels (except for mobile apps), particularly Interactive Voice Response (IVR) (down 20 percent) and social media (down 23 percent).

Churn rates vary amongst different age groups. While 78 percent of baby boomers will leave a provider due to a customer service issue, only 54 percent of millennials will do so.

There was a sharp increase in customer skepticism about the effects of their feedback, with only 25 percent believing that service providers took action based on their feedback, down from 40 percent in 2012.

What the results mean for brands looking to improve customer service

This year’s survey provides further proof that customer service is becoming more complex and more critical for a company’s success. When an organization can create a perfect experience, there are many dividends. As the report’s findings make clear, ample room for improvement creates many opportunities for businesses to set themselves apart.

Every day, we see companies adopting technology to better anticipate their customers’ journey. By leveraging advanced analytics to better understand customers both as individuals and as a collective, they can align their service organization with customer expectations in order to really make a difference.

Micha Catran, Global Vice President and General Manager at NICE, has expertise in portfolio management and new product development across analytics, customer experience, customer journey solutions for the telecommunications, banking, insurance, health care and hospitality markets.

Mr. Catran is responsible for growing NICE Customer Journey and Voice of the Customer market-leading position and ensuring continuous innovation and agility to meet the needs of customer experience and service firms around the world. Before joining NICE, he was a Director of Contact Centers in a leading Telco in Israel. Mr. Catran holds a L.L.B in Law and B.A. in Economics from Haifa University in Israel.