The study, which surveyed 4,000 consumers worldwide, reveals that a significant portion of the customer base is prepared to switch providers if their communication expectations are not met. Specifically, 63% of consumers expressed their willingness to find alternatives if communication falters. This sentiment is even more pronounced among younger generations, with 72% of Millennials and 70% of Gen Z indicating they would change providers under such circumstances.

Communication satisfaction on the decline

The research highlights a growing disparity between the importance consumers place on communication and their satisfaction with it. Leigh Segall, CEO of Smart Communications, explains, “Customer expectations continue to rise, but many businesses are struggling to keep pace. Consumers are telling us they will switch providers when communications fall short or break down across channels.” This dissatisfaction is particularly acute in the insurance sector, where satisfaction has plummeted to just 50%.

Across all sectors surveyed, 85% of consumers stated that communication directly impacts their perception of a brand. However, only 52% of respondents rated their current communications as good or excellent, marking a 10-point decline from the previous year. The study identifies poorly written communications, broken form processes, and a lack of transparency in AI deployment as key factors contributing to this dissatisfaction.

AI skepticism on the rise

The research also sheds light on growing skepticism towards artificial intelligence (AI), particularly concerning its role in customer interactions. Consumer confidence in AI's ability to enhance customer experience has dropped to 56%, a decrease of 5 points from last year. Similarly, trust in AI to securely manage personal data has fallen by 6 points.

Amy Machado, Research Director at IDC, notes that the findings reflect a broader shift in customer expectations: “What we’re seeing here is a transition from digital adoption to digital expectation. Customers are no longer impressed by the presence of AI, they’re judging how well it works for them.” Machado adds, “The challenge is that many organizations are still trying to meet modern expectations with legacy systems and fragmented processes.”

The study reveals a generational divide in attitudes towards AI. While Millennials and Gen Z show higher levels of trust in AI, with 67% and 65% respectively believing it will improve customer experience, only 42% of Baby Boomers share this confidence. This divide is significant given that Baby Boomers control a substantial portion of financial assets, making them a critical demographic for businesses.

The importance of transparency and human oversight

The demand for transparency in AI usage is evident, with 82% of consumers worldwide stating that it is important for companies to disclose when AI is used in their interactions. This figure rises to 88% among Baby Boomers and reaches 90% in countries like Australia. Despite this demand, only 44% of consumers trust companies to use AI responsibly, with trust levels dropping to 30% among Boomers.

Segall emphasises the importance of transparency and human oversight in AI deployment: “The organizations that succeed will be those that simplify complex interactions, apply AI responsibly and transparently, and create experiences that build trust at every step.”

Data collection and form processes: A critical battleground

The study also highlights the impact of data collection and form processes on customer loyalty. Nearly two-thirds of consumers (61%) indicated they would end their relationship with a company if the data collection process was too difficult. This figure is even higher among Millennials (69%) and Gen Z (66%).

Disconnected systems are a major contributor to these issues, with 48% of consumers reporting that they need to repeat information when switching between channels and representatives. This gap between expectation and reality is a clear indication of how businesses have been falling short.

The research paints a picture of a systems problem masquerading as a customer satisfaction problem. Segall concludes, “The biggest drivers of customer churn aren’t complex; they’re operational, fixable, and often overlooked. Organizations that solve this will not only address the symptomatic downfalls their competitors are ignoring, but they will also see measurable returns.”

The comprehensive findings of the study are available through Smart Communications' new interactive web experience, offering detailed industry, regional, and demographic analyses.