The Next Leap in CX won’t come from Bigger Data, but from Smarter Context: Systems that See, Sense, and Serve Instantly

What’s the one crucial element that empowers a brand to grow and improve engagement? You might find a lot of detailed answers to this on Google, but the simple answer is Customer Data. The more information you have on your target customers, the easier it is for you to engage with them.

What does customer data include? Conversation patterns, purchase patterns, what they are clicking on, and their behavioral patterns, all of these combined, give you an idea of your customer’s journey. Now, the question is, does it truly offer a real breakthrough these days? NO, it doesn’t.

Why?

Customers want speed, relevance, and personalization in every interaction. Thus, the real deciding factor is not having a lot of information, but having relevance and a smarter context. Businesses that can see what the customers are doing, sense their needs, and provide custom solutions are going to survive in the long run. This means that, for leaders, it is time to shift the focus to using data intelligently in real-time, rather than just collecting it.

Bigger Data is NOT enough! Here’s why

Did you know? Many brands sit on data silos that are of no use! Here are some statistics to support our statement.

• 70% of the customers want every company representative to know the context of their situation. [Zendesk]
• 85% of the customers would go above and beyond to do business with a company that offers personalized customer service. [Forbes]
• 91% of the customers will make a second purchase when they have a great service experience. [G2]

Customers won’t think twice about switching if they are not satisfied with a service. In simple terms, they don’t want you to know EVERYTHING! They want you to know the RIGHT thing about them. As an enterprise, you must compete on the customer experience, rather than on product or price.

Don’t underestimate the power of See, Sense, and Serve

1. SEE

Simply observe in real time. Check analytics, calls, chats, and social media interactions. This will help you with customer journey mapping.

2. SENSE

Figure out what the customer wants. This is where you use AI to analyze customers’ behaviour and emotions. Predict when they might churn. Update the context accordingly.

3. SERVE

This is where you act immediately. The right response can help you get customers and retain existing customers.

Remember to keep a balance between the use of AI-powered customer service and human interaction. The moment a human representative interacts with a customer, they should be aware of the situation so that the customer doesn’t have to repeat themselves.

Remember, smarter context always wins

As an enterprise, when you are capable of delivering faster responses that resolve a customer’s issue with less repetition, naturally, customer satisfaction spikes. This leads to higher customer loyalty. Happier customers mean more revenue. The best part? This whole process ensures higher operational efficiency. When there are fewer manual steps involved, it empowers the whole organization to work effectively towards a common goal.

From a CEO’s perspective - Four strategic steps

• Unify context - To put things simply, it is crucial to bring together all the elements into one real-time view, including customer data across CRM, apps, web, and support. Get rid of monolithic silos.
• Automating interactions - Not every interaction requires human intervention. Automate generic and simple interactions like updating a status. This will help you to reduce friction.
• Support your people - As we mentioned earlier, bring in a balance between human and AI. Your people should NOT feel like they will be replaced with AI. Instead, train your people to use AI as “co-pilots” that help them in planning next steps and analyzing customer history.
• Build a culture of trust and transparency - When it comes to using data, always ensure transparency and privacy. Offer an explanation for automated actions.

Potential challenges and how to overcome them

• Latency & speed - Make sure that the systems are not too slow, because that’s how you’ll lose customers. With light AI models and edge computing, you can create faster responses.
• Model drift issues - When you have used AI for a long time, remember these models tend to lose accuracy over time. Thus, changes in customer behaviour cannot be detected. Feed AI models continuously with fresh data.
• In-house resistance - It’s quite natural that your in-house staff might see AI as a threat, or they might not even trust the new system. Empower your staff with AI as a tool and train them.
• Stop overpersonalizing - Modern-day customers are aware of how data is used. Don’t invade their privacy with hyper-personalization. Get clear consent before bombarding them with promotional tactics.

In conclusion

Smarter context is not just about collecting more data or hyper-personalization. It is about using the collected data intelligently to observe customers’ situations, understand their emotions, and provide a helpful solution. The opportunity for the leaders is clear. You must invest in the context and relevance of data, not just its volume. As an enterprise, if you can master this, it will not only meet the increasing customer demands but also help them in raising their standards in terms of customer experience.