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Going Beyond the GenAI Hype — Your Questions, Answered

We recently hosted a webinar all about how CX leaders can go beyond the hype surrounding GenAI, sift out the misinformation, and start driving real business value with AI Assistants. During the session, our speakers shared specific steps CX leaders can take to get their knowledge ready for AI, eliminate harmful hallucinations, and solve the build vs. buy dilemma.

We were overwhelmed with the number of folks who tuned in to learn more and hear real-life challenges, best practices, and success stories from Quiq’s own AI Assistant experts and customers. At the end of the webinar, we received so many amazing audience questions that we ran out of time to answer them all!

So, we asked speaker and Quiq Product Manager Max Fortis, to respond to a few of our favorites. Check out his answers in the clips below, and be sure to watch the full 35-minute webinar on-demand.

Ensuring Assistant Access to Personal and Account Information

 

 

Using a Knowledge Base Written for Internal Agents

 

 

Teaching a Voice Assistant vs. a Chat Assistant

 

 

Monitoring and Improving Assistant Performance Over Time

 

 

Watch the Full Webinar to Dive Deeper

Whether you were unable to tune in live or want to watch the rerun, this webinar is available on-demand. Give it a listen to hear Max and his Quiq colleagues offer more answers and advice around how to assess and fill critical knowledge gaps, avoid common yet lesser-known hallucination types, and partner with technical teams to get the AI tools you need.

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How Does Data Impact Optimal AI Performance in CX? We Break It Down.

Many customer experience leaders are considering how generative AI might impact their businesses. Naturally, this has led to an explosion of related questions, such as whether it’s worth training a model in-house or working with a conversational AI platform, whether generative AI might hallucinate in harmful ways, and how generative AI can enhance agent performance.

One especially acute source of confusion centers on AI’s data reliance, or the role that data—including your internal data—plays in AI systems. This is understandable, as there remains a great deal of misunderstanding about how large language models are trained and how they can be used to create an accurate, helpful AI assistant.

If you count yourself among the confused, don’t worry. This article will provide a careful look at the relationship between AI and your CX data, equipping you to decide whether you have everything you need to support the use of generative AI, and how to efficiently gather more, if you need to.

Let’s dive in!

What’s the Role of CX Data in Teaching AI?

In our deep dive into large language models, we spent a lot of time covering how public large language models are trained to predict the end of some text. They’ll be shown many sentences with the last word or two omitted (“My order is ___”), and from this, they learn that the last word in is something “missing” or “late.”

The latest CX solutions have done an excellent job leveraging these capabilities, but the current generation of language models still tends to hallucinate (i.e., make up) information.

To get around this, savvy CX directors have begun utilizing a technique known as “retrieval augmented generation,” also known as “RAG.”

With RAG, models are given access to additional data sources that they can use when generating a reply. You could hook an AI assistant up to an order database, for example, which would allow it to accurately answer questions like “Does my order still qualify for a refund?”

RAG also plays an important part in managing language models’ well-known tendency to hallucinate. By drawing on the data contained within an authoritative source, these models become much less likely to fabricate information.

How Do I Know If I Have the Right Data for AI?

CX data tends to fall into two broad categories:

  1. Knowledge, like training manuals and PDFs
  2. Data from internal systems, like issue tickets, chats, call transcripts, etc.

Luckily for CX leaders, there’s usually enough of both lying around to meet an AI assistant’s need for data. Dozens of tools exist for tracking important information – customer profiles, information related to payment and shipping, and the like – and nearly all offer API endpoints that allow them to integrate with your existing technology stack.

What’s more, it’s best if this data looks and feels just like the data your human agents see, so you don’t need to curate a bespoke data repository. All of this is to say that you might already have everything you need for optimal AI performance, even if your sources are scattered or need to be updated.

Processing Data for Generative AI

Data processing work is far from trivial, and outsourcing it to a dedicated set of tools is often the wiser choice. A conversational AI platform built for generative AI should make it easy for you to program instructions for data processing.

That said, you might still need to work on cleaning and formatting the data, which can take some effort.

Understanding the steps involved in preparing data for AI is a big subject, but you’ll almost certainly need to do a mix of the following:

  • Extract: 80% of enterprise data exists in various unstructured formats, such as HTML pages, PDFs, CSV files, and images. This data has to be gathered, and you may have to “clean” it by removing unwanted content and irrelevant sections, just as you would for a human agent.
  • Transform: Your AI assistant will likely support answering various kinds of questions. If you’re using retrieval augmented generation, you may need to create a language “embedding” to answer those questions effectively, or you may need to prepare and enrich your answers so your assistant can find them more effectively.
  • Load: Finally, you will need to “feed” your AI assistant the answers stored in (say) a vector database.

Remember: The GenAI data process isn’t trivial, but it’s also easier than you think, especially if you find the right partner. Quiq’s native “dataset transformation” functionality, for example, facilitates rewriting text, scrubbing unwanted characters, augmenting a dataset (by generating a summary of it), structuring it in new ways, and much more.

What Do I Need to Create Additional Data for AI?

As we said above, your existing data may already be sufficient for optimal AI performance. This isn’t always the case, however, and it’s worth saying a few words about when you will need to create a new resource for a model.

In our experience, the most common data gaps occur when common or important questions are not addressed anywhere in your documentation. Start by creating text about them that a model can use to generate replies, and then work your way out to questions that are less frequent.

One idea our clients use successfully is to ask human agents what questions they see most frequently. Here’s an example of an awesome, simple FAQ from LOOP auto insurance:

When you’re doing this, remember: it’s fine to start small. The quality of your supplementary content is more important than the quantity, and a few sentences in a single paragraph will usually do the trick.

The most important task is to make sure you have a framework to understand what data gaps you have so that you can improve. This could include analyzing previous questions or proactively labeling existing questions you don’t have answers for.

Wrapping Up

There’s no denying the significance of relevant data in AI advancements, but as we’ve hopefully made clear, you probably have most of what you already need—and the process to prepare it for AI is a lot more straightforward than many people think.

If you’re interested in learning more about optimal AI performance and how to achieve it, check out our free e-book addressing the misconceptions surrounding generative AI. Armed with the insights it contains, you can figure out how much AI could impact your contact center, and how to proceed.

Google Business Messaging is Ending – Here’s How You Should Adapt

Google Business Messaging (GBM) has long been one of the primary rich messaging channels for Android, but it’s now in the process of being phased out.

GBM is being sunsetted, but that doesn’t mean your customer experience has to suffer. This piece will walk you through the main alternatives to GBM, ensuring you have everything you need to keep your organization running smoothly.

What’s Happening with Google Business Messaging Exactly?

According to an announcement from Google, Google Business Messaging will be phased out on the following schedule. First, starting July 15, 2024, GBM entry points will disappear from Google’s Maps and Search properties, and it will no longer be possible to start GBM conversations from entry points on your website. Existing conversations will be able to continue until July 31, 2024, when the GBM service will be shut down entirely.

What are the Alternatives to Google Business Messaging?

If you’re wondering which communication channel you should switch to now that GBM is going away, here are some you should consider. They’re divided into two groups. Group one consists of the channels we personally recommend, based on our years of experience in customer service and contact center management. Section two deals with communication channels that we still support but which, in our view, are not as promising as alternatives to GBM.

Recommended Alternatives to Google Business Messaging

Here are the best channels to serve as replacements to GBM

  • WhatsApp: WhatsApp enables text, voice, and video communications for over two billion global users. The platform includes several built-in features that appeal to businesses looking to forge deeper, more personal connections with their customers. Most importantly, it is a cross-platform messaging app, meaning it will allow you to chat with both Android and Apple users.
  • Text Messaging or Short Message Service (SMS): SMS is a long-standing staple for a reason, and with a conversational AI platform like Quiq, you can put large language models to work automating substantial parts of your SMS-based customer interactions.

Other Alternatives to Google Business Messaging

Here are the other channels you might look into.

  • Live web chat: When wondering about whether to invest in live chat support, customer experience directors may encounter skepticism about how useful customers will find it. But with nearly a third of female users of the internet indicating that they prefer contacting support via live chat, it’s clearly worth the time. This is especially true when live chat is used to provide an interactive experience, readily available, helpful agents, and swift responses. There are plenty of ways to encourage your customers to actually use your live chat offering, including mentioning it during phone calls, linking to it in blog posts or emails, and promoting it on social media.
  • Apple Messages for Business: Unlike standard text messaging available on mobile phones, Apple Messages is a specialized service designed for businesses to engage with customers. It facilitates easy setup of touchpoints such as QR codes, apps, or email messages, enabling appointments, issue resolution, and payments, among other things.
  • Facebook Messenger: Facebook Messenger for Business enables brands to handle incoming queries efficiently, providing immediate responses through AI assistants or routing complex issues to human agents. Clients integrating with a tool like Quiq have seen a massive ROI – a 95% customer satisfaction (CSAT), a 70-80% resolution rate for incoming customer inquiries automatically, and more. Like WhatsApp, FB messenger is a cross-platform messaging app, meaning it can help you reach users on both Android and Apple devices.
  • Instagram: Instagram isn’t just for posting pictures anymore – your target audience is likely using it to discover brands, shop, and make purchases. They’re reaching out through direct messages (DM), responding to stories, and commenting on posts. Instagram’s messaging API simplifies the handling of these customer interactions; it has automated features that help initiate conversations, such as Ice Breakers, as well as features that facilitate automated responses, such Quick Replies. Integrating Quiq’s conversational AI with Instagram’s messaging API makes it easier to automate responses to frequently asked questions, thereby reducing the workload on your human agents.
  • X (formerly Twitter): With nearly 400 million registered users and native, secure payment options, X is not a platform you can ignore. And the data supports this – 50% of surveyed X users mentioned brands in their posts more than 15 times in seven months, 80% of surveyed X users referred to a brand in their posts, and 99% of X users encountered a brand-related post in just over a month. By utilizing X business messaging, you can connect with your customers directly, providing them with excellent service experiences. Over time, this approach helps you build strong relationships and positive brand perceptions. Remember, posts—even those related to customer service—occur publicly. Thus, a positive interaction satisfies your customer and showcases your company’s engagement quality to others. Even better, the X API enables you to send detailed messages while keeping the conversation within X’s platform. This avoids the need for customers to switch platforms, enhancing their overall satisfaction.

How to Switch Away From Google Business Messaging

Even though GBM is going the way of the Dodo, the good news is that you have tons of other options. Check out our dedicated pages to learn more about SMS, WhatsApp, and Facebook Messenger, and you’re warmly invited to consult with our team if you are currently using GBM with another managed service provider and are not sure what the best direction forward is!

8 Tips to Improve Customer Retention

Recruiting new customers costs seven to nine times as much as required to keep current customers from leaving. Besides the obvious foregone revenue, dissatisfied customers are not going to recommend you to the people they know, and they might even go out of their way to tell their friends and family about their negative experiences.

For all these reasons, it’s imperative not to let customers slip away – and one of the best ways of doing that is to implement an effective customer retention strategy.

Even a small increase in customer retention could substantially improve your bottom line, but customer retention can be extremely challenging. Having said that, enhancing customer retention can be challenging and generally requires an intentional strategy that many companies don’t choose to prioritize.

In this post, we will examine the big picture of why improving customer retention is important and offer advice that any customer experience team can use to keep its customers happy and loyal.

What Is Customer Retention?

“Customer retention” refers to any effort to keep a customer satisfied enough with you to keep them using your product or service.

Customer retention is an important aspect of business strategy and, done correctly, can help you gain a competitive advantage. Tragically, many businesses don’t invest enough in it – they spend vast amounts of time and money trying to bring in new customers while neglecting the ones they’ve already worked so hard to get.

But with the right approach and high-quality service, there’s no reason that excellent customer retention can’t be one of the things setting you apart.

Why Is Customer Retention Important?

We’ve already established that getting new customers is more expensive than keeping old ones, but it’s also worth pointing out that existing customers spend an average of almost 70% more than new customers.

Even better, loyal customers are far more likely to share their experiences with their social circles and purchase from your company again.

These customers are not only your best cheerleaders, they also help you better understand your brand in various other ways, like via CSAT and NPS (Net Promoter Score®) surveys. If you ask them, they will provide honest feedback about your product and customer service, allowing you to make the course corrections required to succeed. We’ll have more to say about all of this in the section on improving customer retention.

Calculating Customer Retention

Determining your current customer retention rate (CRR) is an important first step in improving customer retention.

The CRR measures how many customers are retained over a particular period (usually one year) and allows you to gauge the long-term profitability of your marketing and sales efforts. The math is pretty straightforward: we just need to divide the number of repeat customers by the total number of active customers over the same time period.

So, if we have 50 return customers and 200 active customers for the year 2023, our CRR would be 25%.

A related metric worth tracking is the cost per acquisition (CPA). The CPA measures the cost a company incurs to acquire one new customer (ideally, a new customer who becomes loyal to the company’s brand).

If you have both the CRR and the CPA, you should have a good chunk of the context needed to make smart, data-driven decisions. If you want to increase your retention rate, read the next section.

How to Improve Retention Rates

Now that we’ve made a strong case for trying to enhance customer retention, lets discuss specific strategies that’ll help you actually do it.

1. Good Values Build Good Relationships

Many companies have “mission” or “vision” statements that explicitly state the values they live by. Though these statements are sometimes viewed as hot air that only serves to give the marketing team something to put on the company website, the truth is that your processes, the quality of your products, and the way you treat your customers are all a reflection of them.

This is a long way to say that values are important, but you don’t have to take our word for it. When asked, many customers who stated they had a relationship with a brand indicated that it was due to shared values. This isn’t surprising – customers will naturally be attracted to brands that mirror their beliefs while enhancing their lifestyles, especially when they’re younger.

Building a brand that your customers can easily relate to will foster trust. This is key to creating strong relationships and, by extension, a successful business. Let your customers know what you stand for, and be sure to act on these convictions (by donating to worthy causes, for example). Having common values with your customers makes it easier to attract and retain them.

2. Empower Your Customer Service Team to Build Trust

As a CX leader tasked with building, operationalizing, and scaling your contact center, you undoubtedly think about human agents’ interactions with customers. An important element in that equation is how you empower your team of customer service representatives to build trust with your customers.

To achieve this, focus on comprehensive training programs that emphasize empathy, active listening, and effective problem-solving. For instance, role-playing scenarios can prepare agents to handle various customer concerns with confidence and care. Keep your team up to date on best practices and emerging trends with regular workshops and continuous learning opportunities, too.

Implementing a customer feedback loop can help your team understand and respond to customer needs more effectively. Encourage your agents to ask for feedback after interactions and use this information to improve service delivery. Monitoring key performance indicators (KPIs) such as customer satisfaction scores (CSAT), Net Promoter Scores® (NPS), and first-call resolution rates can provide valuable insights into how well your team is building trust.

That validation helps to reinforce your team’s hard work, deeping a healthy internal culture. Speaking of culture, creating an internal culture centered around customer love, advocacy, and even “customer obsession” is foundational to trust building.

But as a CX leader, you must also factor in ways to highlight your team members’ success in putting customers first. This could involve recognizing and rewarding team members who exemplify customer-first values. For example, a monthly “Customer Hero” award can highlight and incentivize exceptional service.

3. Make Yourself Transparent and Easy to Work With

A great way to stand out is by making it as easy as possible for customers to find what they need. If your documentation or website is complex or confusing, this is certain to become a problem at one point or another. Clear, concise information, on the other hand, can help enhance customer retention.

Take the issue of refunds. If a customer is looking for a refund, they’re obviously dissatisfied. How much worse will they feel if they must then struggle to find a way to contact you, only to be faced with a maze of robotic voices endlessly repeating a menu of options?

If your agents are sympathetic and your information is easy to navigate, a refund needn’t be the end of a professional relationship. More broadly, it pays to invest the time required to make your content easy to follow and your agents easy to contact.

4. Meet Your Customers Where They Are

Customers love great offers and discounts, but they also love when they can get help solving problems with as little friction as possible.

A good way to do this (and improve customer retention simultaneously) is to provide support through the channels that make the most sense for your customers. There are a few other advantages to this omnichannel approach:

  • It enables you to respond very quickly to incoming queries, which can be a huge advantage for reasons already discussed above.
  • By integrating with technology like large language models, you can personalize your replies at scale and even offer services like real-time translation.
  • You can drive faster resolution times, contributing to customer satisfaction and retention.

5. Prioritize Quick Turnarounds

As a general rule, people have never enjoyed waiting around. But now that we’ve grown accustomed to 30-minute DoorDash deliveries and same-day shipping from Amazon, it’s only gotten worse.

For this reason, it pays to focus on replying to issues as quickly as possible.

Note, however, that this doesn’t necessarily mean you have to resolve an issue right off the bat. Many customers will feel less anxious and frustrated simply by knowing they’ve been heard and someone is working on a solution. Respond immediately, even if it’s just to say, “We’re sorry you’re running into issues, and we’re committed to getting you up and running again as soon as possible.”

You can also take this initial message as an opportunity to manage expectations about how long it will take to find a solution. Obviously, some problems are relatively straightforward, while others are more substantial, and you can communicate that to the customer (assuming it’s appropriate to do so). It’s never fun to hear that you’ll have to wait a week to get some issue sorted out, but it’s far worse to find that out after you’ve already made a bunch of plans that are difficult to change.

6. Be Sure to Personalize Your Communications

Artificial intelligence has a long history of delivering personalized content. You’re probably familiar with Spotify, which can discover patterns in the music and podcasts you enjoy and use algorithms to recommend songs and artists that align with your tastes.

With the power of generative AI, platforms like Quiq are elevating this to unprecedented levels.

Once upon a time, only human agents could analyze a customer’s profile and tailor their responses with relevant information. Now, a well-optimized generative language model can achieve this almost instantaneously – and on a much larger scale.

For a contact center manager focused on enhancing customer experience, this is a significant step forward.

7. Let Customer Data Work for You

Customer data can help determine your customers’ needs, and surveys are an effective way to gather that data — including NPS (Net Promoter Score®) surveys. Some of the benefits of conducting customer surveys include:

  • They’re a great way to interact with your customers
  • Customers tend to give honest and open feedback
  • These customers will be more likely to give feedback in the future if they see changes implemented based on prior concerns
  • Survey feedback can result in positive adjustments to your products, services, or processes
  • Surveys show your customers that you value their opinions and are willing to do whatever it takes to make them happy.
  • It can help ensure you’re pursuing the right targeting strategy
  • They can help you identify dissatisfied customers before they leave and create campaigns or offers to win them back

Of course, surveys aren’t the only way to do this; you can also treat customer complaints that come through other feedback channels in a similar manner.

Regardless of how you choose to proceed, interacting with your customers in this productive, proactive way is a great opportunity. Seventy percent of customers who complain will purchase your product again if their complaints are favorably resolved.

8. Reward Loyalty

Though nothing beats exceptional customer service, thoughtful gestures go a long way. In addition to standard discounts and other offers, think of things that will make your customers feel good about using your product.

A thank you note or any positive acknowledgment can keep your customers coming back, thus enhancing your customer retention rate.

Building Customer Relationships

Customers are the foundation of any business. But it’s not enough to just get customers, you must also ensure that you invest in improving customer retention. You can do this by using the strategies presented in this post to build world-class relationships with your customers.

To find even more such strategies, check out our free ebook on resolving common customer-service pain points. It’s got excellent advice on dealing with angry or frustrated customers, elucidating their expectations, and more. With it, you’ll have everything you need to send your customer retention rates into the stratosphere!