Tip 1: Service doesn’t sleep, so make sure yours is always on
The way we think about CX is transforming completely. Now, brands can harness the power of their customer data and insights garnered from a database of millions of similar interactions to automatically deliver service opportunities before they become needed.From updating a patient’s status in the waiting queue to sending a satisfaction survey to customers who have purchased a product with reported issues, this kind of proactive care benefits the organization and can delight the customer.Consumers today expect a seamless end-to-end resolution journey for their requests. If they don’t find it with your company, they’ll look for it elsewhere, and a loyal, potentially lifelong advocate for your brand slips through your fingers.Self-service channels are the best way to proactively meet customers wherever their journey begins. Research indicates that 65% of customers prefer self-service for simple matters, and most attempt to take care of issues themselves before contacting a live agent.Gartner reports that 56% of customers prefer to resolve their issues without contacting a customer service representative, but only 13% are wholly contained within self-service channels. This may be because most companies’ self-service options lack the intelligence and intuition to adequately assess and fulfill customer needs. Adapting the latest tools and channels is crucial as technology evolves to help your contact center remain competitive. This includes implementing intelligent self-service options that give customers the freedom and information to chart their courses.Here’s how you can achieve the highest level of intelligent self-service:- “Always on” means precisely that. Providing self-service options around the clock, with interactions contained in one channel, increases the likelihood of first contact resolution.
- Conversational AI and chatbots. Humanlike, empathetic virtual agents collect crucial data and sentiment, enabling more personalized interactions.
- Data-driven solutions. AI-driven analysis of previous interactions provides a blueprint for more effective, frictionless resolution paths for future interactions.
- Contextual understanding. Natural language processing (NLP) helps improve the customer journey by contextually comprehending how customers feel during interactions.
Tip 2: Learn from every interaction and adapt
To drive improvement in self-service, you must include the most valuable data source you have - human conversations. By leveraging AI and analytics, contact center leaders can use data from employee-assisted interactions to drive intelligent self-service.Unique tools like Enlighten XO build smart self-service channels by automatically generating insights from human conversations on any channel. Those insights transform self-service channels with a data-driven, empirical approach that continuously updates with every interaction.Enlighten XO discovers customer intents from human conversations, uncovering thousands of training phrases that pinpoint each customer’s needs at every touchpoint. The data-driven approach means more precision, new insights - and no more narrative guesswork.A data-driven strategy fuels the move to smarter self-service and includes different types of data, for example:- SEMANTIC DATA sheds light on the nuances of conversation and the context of questions to make it rich and meaningful.
- EPISODIC DATA enables brands to learn from past customer experiences intelligently to create more hyper-personalized connections and reshape customer conversations with self-service applications.
- PROCEDURAL DATA, which provides insight into the following best action or series of actions to achieve effective automation for customers’ needs.
Tip 3: Act, don’t just react
Self-service can be divided into reactive AI-powered chatbots and proactive conversational AI. While both involve automated conversations with customers, they seek to achieve different goals.Reactive chatbots automate interactions with customers who have already started to engage with you. They exist to satisfy increasing customer demand for smarter self-service and reduce agent escalations for simpler queries and needs.Proactive conversational AI is designed to reach customers before they engage with you—or, more often, reach customers seeking a resolution. Proactive conversations invite the customer to respond wherever they are—whether in a Google search, on YouTube, or even on your own website. And the issue resolution happens there, too. Imagine your washing machine has broken to paint a picture of what this might look like. You contact the manufacturer and receive an automated message designed to triage what is wrong. You may receive an automated phone call or a text message asking you to spin the machine’s drum around and describe what you hear. The message might also detail how to find the serial number on your machine.Armed with this information in advance, the technician who arrives at your door to repair the machine is more likely to have the correct part. By reducing customer effort and ensuring that the issue is fixed the first time, we can reduce costs and improve the customer and employee experience.Context is a crucial enabler of proactive communication. With context, even if a customer is not expecting to hear from you, they’re not surprised by the communication they receive.You can proactively create micro-moments of delight and lifetime loyalty by meeting customers where they are on the touchpoints of their choice. Combining AI-driven self-service with agents who are prepared and empowered to resolve any customer need successfully will create a proactive, smart, connected customer experience that will differentiate your brand and strengthen your customer relationships—today and tomorrow.When proactive conversational AI becomes ubiquitous, every customer experience will be virtually frictionless. Smart self-service will only continue to play a vital role in delivering effortless customer journeys when deployed as part of a fully integrated digital-first, AI-infused CX strategy.Tip 4: Empathy from agents goes a long way
As communication channels become less “human,” personalized customer interactions are even more valuable. Delivering a personal touch can help you stand out from competitors and build customer loyalty. And emphasizing empathy will also make work more rewarding for your agents by assisting them to feel like their work matters and is essential to your customers.According to the 2020 Salesforce State of the Connected Customer report, 68% of customers expect brands to demonstrate empathy during all interactions. It’s the biggest driver of customer trust, satisfaction, and brand loyalty.Studies have found that 71% of customers agree that if they perceive a brand puts profit over people, they will lose trust in that brand forever.Most contact center resources focus on self-service, and that’s as it should be. Most customers prefer solving their issues rather than talking to an agent.However, some matters cannot be resolved through self-service. Studies show that half of the customers who start with self-service are transferred to a live agent.Therefore, contact centers must apply empathy holistically throughout all processes. It’s important to use empathy to examine the customer journey and find opportunities for improvement. Having empathetic AI is also important to provide a more human experience overall.Regardless of the markets you serve and the size of your contact center, your customers expect to have a personalized experience and to feel understood during interactions. Personalization is the strongest driver of customer loyalty in most markets. It increases trust, satisfaction, and brand loyalty.An agent must be able to interact empathetically for the customer to feel understood. Ensuring empathy is at the forefront of your contact center training and processes is the best way to give that human touch to set your brand apart. Many customers say empathy is the most valued characteristic of call center agents.