Customer expectations are rising rapidly. How do you capitalize on this as an organization? According to Lou Reinemann, principal analyst at IDC, the answer is clear: collect and analyze customer data more intelligently and deploy artificial intelligence (AI) to personalize and improve customer experiences. At the Sprinklr Source24 analyst conference in New York, Reinemann spoke at length about the latest developments in Voice of the Customer (VoC) and Customer Success. “The power is in data unification and AI-driven insights,” he said.
A market in flux: data as the key to better CX
According to Reinemann, the customer experience market is at a tipping point. Organizations have vast amounts of customer data, but often don’t know how to manage it effectively. “What sets Sprinklr apart, for example, is their focus on unification,” he states. “They help companies break through data silos and share insights throughout the organization.”
The challenge? The range of CX solutions available is vast. “Every vendor uses the same buzzwords,” notes Reinemann. “For customers, it is difficult to determine who really adds value.” Yet that is exactly what is needed at a time when customers are becoming increasingly demanding. “The bar is high and it continues to rise.”
From structured to unstructured: the data explosion
Reinemann describes how the nature of customer feedback has changed. Where companies used to rely on structured data from surveys and forms, there is now an explosion of unstructured data. Think product reviews, social media conversations and online community forums.
“Customers are no longer just talking directly to a brand, but more importantly to each other,” he explains. “That provides valuable insights that are often hidden if you only look at traditional data.” Analysis of these unstructured sources, including sentiment and context, has become essential for organizations that take customer experience seriously.
Three data sources: direct, indirect and derived
A mature VoC strategy, according to Reinemann, rests on three pillars:
- Direct data – Surveys and interviews where customers provide feedback directly to an organization.
- Indirect data – Conversations and reviews on external platforms, in which customers share opinions without directly addressing the brand.
- Derived data (inferred) – Behavior that indirectly says something about customer satisfaction, such as “rage clicks” or leaving a Web shop without a purchase. “This can provide valuable insights, but also raises privacy questions,” he emphasizes.
The role of GenAI: from insight to action
Generative AI (GenAI) is playing an increasing role in collecting, analyzing and leveraging customer data. “AI allows us to analyze all data, not just a sample,” Reinemann said. “It accelerates gaining insights and discovers patterns that humans simply cannot see.”
GenAI also helps personalize customer interactions. Think personalized surveys with higher response rates or follow-ups that precisely match a customer’s previous interactions. Reinemann: “This leads to higher engagement and better customer relationships.”
Conversational CX: the future of customer interaction
According to Reinemann, one of the most exciting developments is the rise of “conversational CX. “We are moving from clicking to talking,” he says. Virtual assistants, bots and digital twins are enabling real-time customer conversations, with AI understanding context and responding to personal preferences.
Still, there is a caveat. “AI must be reliable,” cautions Reinemann. “A bad experience – for example, a chatbot that doesn’t understand what you mean – can drive customers away.” Human control therefore remains crucial when deploying AI.
Trust and privacy: the preconditions of success
Data-driven customer experience raises questions about privacy and transparency. Especially when it comes to derived data, some of which customers are not even aware is being collected. “Organizations need to communicate openly about this and provide human oversight,” Reinemann argues. “Trust is essential to build loyalty.”
What to look out for when buying AI-driven CX solutions?
For companies considering integrating AI and GenAI into their VoC strategy, Reinemann has a clear tip: opt for flexibility. “You want to be able to choose between different AI models, train your own data and switch easily as the market changes,” he says. He cites Sprinklr as an example of a vendor that facilitates this well.
Finally, the human eye remains indispensable
Despite all the technology, Reinemann remains keen on the human side of customer experience. Whether he orders a coffee himself or takes an Uber, his professional glasses remain on. “But in the end, it’s all about the simple things,” he laughs. “A warm greeting, a good product, that’s the core of customer experience.”
