Are you making the most of your customer experience analytics?
Most business owners know how important it is to monitor metrics and collect essential insights throughout the customer journey. After all, the only way you can really ensure you’re adhering to your customer’s expectations is to listen to them and commit to constant optimization.
However, how we analyze customer interactions has evolved significantly in recent years. Businesses aren’t just reliant on surveys and quantitative metrics like “call waiting time” anymore.
Intelligent solutions have emerged to provide us with a clearer view of the customer. We can now evaluate everything from the sentiment in a customer’s tone of voice to their actions throughout the buyer journey.
Investing in the right strategy for customer experience analytics is how business leaders improve their ROI, boost customer loyalty, and even create more effective agents.
So, where do you begin? Here’s everything you need to know.
What is Customer Experience Analytics?
Let’s start with a quick refresher. Customer Experience Analytics is collecting, assessing, and acting on customer data, often from various touchpoints. The right CX analysis strategy looks at different points in the customer journey.
It examines how customers interact with your website, connect with agents in real time, and even use self-service tools and chatbots. The purpose of customer experience analytics is to provide businesses with all the behind-the-scenes data they need to understand their customers.
The more you know about your target audience, their pain points, and goals, the more you can craft a powerful “CX Strategy.”
The Key Customer Experience Metrics
While analytical tools can generate a lot of data, some of the core areas many businesses focus on include:
- CSAT: The CSAT score evaluates how happy customers are with you at every stage of their journey. Often, you’ll generate a score by sending out surveys asking customers to score their experience on a scale of 1 to 5. You then aggregate those scores to get an insight into customers' general sentiment towards your brand.
- NPS: Similar to CSAT, NPS scores are calculated through surveys, asking customers to rate how likely they’d be to recommend a company to someone else. The higher your NPS score, the more likely you are to convert clients into brand advocates.
- CES: Customer Effort Score looks at how difficult it is for customers to move through their journey with you. Usually, you’ll send customers a survey asking them to rank how easy their experience with your business was on a scale of 1 to 10.
- CLV: Customer Lifetime Value examines how much revenue each customer generates for your business on average over their lifetime. The higher your CLV, the more likely you will have satisfied, loyal customers who make multiple purchases.
- CRR: Customer retention rate measures the percentage of customers who prolong their interactions with your brand. You simply divide the number of paying customers you have left at the end of a period by the total number at the beginning of the same period.
Most customer experience analytics tools focus heavily on “direct customer feedback,” or the voice of the customer, with surveys and questionnaires.
However, they can also track indirect metrics that contribute to CX scores. For instance, you might monitor average handling times, customer reviews, average spend, or average waiting time.
The Benefits of Customer Experience Analytics
A complete strategy for leveraging customer experience analytics requires a lot of data analysis. There are plenty of different metrics and KPIs to manage. But while a full analysis does take time and work, it’s well worth the effort. Whether your goal is to reduce churn or improve your brand reputation, CX analytics will help you move in the right direction.
The biggest benefits of implementing the right strategy include:
1. Improved customer insights
Probably the most apparent benefit of customer experience analytics is improving your understanding of your customer. The more comprehensive your insights are, the easier it is to make the right decisions to improve customer service.
Analytical tools and AI systems can give you a behind-the-scenes view of every stage of your customer journey. They can show you which channels customers use so you know how to distribute your human resources. The right tools offer insight into your customer’s sentiment and perception of your brand and how it can change based on employee actions.
2. Reduced churn (and higher retention)
Customers abandon businesses for a host of different reasons. Finding out what’s most likely to drive your clients away from you is the best way to eliminate these problems. With customer experience analytics, you can discover what repeat problems customers face. This paves the way for the creation of better self-service resources and tools.
With sentiment analysis tools, you might even be able to pinpoint customers most likely to churn in the moment. This makes it easier to provide agents with guidance that can de-escalate a situation and boost your chances of retention.
3. Better agent training
Running a successful CX strategy requires more than just the right contact center tools and tech. You also need agents who are incredible at their job. Customer experience analytics can give you the insights you need to provide team members with more insightful training.
You can determine which skills to work on with your teams, from empathy to active listening. You can also figure out ways of empowering your agents through the customer journey. For instance, if you know customers are calling about a specific problem, you can provide each agent with an automated trouble-shooting guide to help them address the issue.
4. A competitive edge
Gartner’s research found customer experience drives 60% of all brand loyalty – more than your product prices and features. Customer experience analytics guide you to create experiences that set you apart from the competition.
You can use insights to segment your consumers and provide them with more personalized interactions based on their preferences. You can even use your data to power your sales and marketing campaigns, boosting your chances of higher conversions.
