Quantum Metric report flags widening customer feedback trust gap
Quantum Metric, the digital analytics platform, has published its 2026 Customer Voice Benchmark, identifying what it calls the "customer listening gap": a structural disconnect between the effort enterprises pour into gathering customer feedback and consumers' belief that anything will actually change as a result. The findings, drawn from a survey of 1,500 consumers and 750 digital leaders across the US and UK, combined with anonymised behavioural data from Quantum Metric's own platform, suggest a trust deficit that has measurable consequences for retention and revenue.
The headline numbers are stark. Half of consumers surveyed had not given any brand direct feedback in the preceding six months, even as 45% of digital brands reported increasing their investment in feedback channels over the same period. Meanwhile, 56% of consumers said they had already abandoned a brand that continued to disregard feedback they had previously provided. The report frames this as a compounding failure: brands spend more to hear less, while customers conclude the exercise is pointless.
From listening to action: a broken chain
The data on the enterprise side of the gap is equally pointed. Just one in four digital leaders said they have daily access to recent customer feedback, and 52% reported having no formal process for acting on the feedback they do collect. Fewer than one in five consumers view surveys as an effective channel for making their voice heard, and a third said they do not feel heard by digital brands at all.
The problem extends inside organisations too. The benchmark found that 51% of digital employees had stayed silent about a known broken internal tool because they did not believe raising it would lead to change, with 45% reporting that broken tools impede their ability to serve customers at least once a week. The listening gap, in other words, is not just a customer-facing failure, it is a cultural and operational one that degrades the feedback loop from both ends simultaneously.
Quantum Metric is using the report's publication as a platform to announce an upcoming product, Quantum Metric Voice of Customer (VoC), which the company says will connect direct qualitative feedback to the behavioural session data already captured in its platform. The aim, it says, is to let enterprise teams move from receiving a signal to quantifying its business impact and acting on it, all within a single workflow. A virtual launch event is scheduled for 16 September 2026.
The agentic AI read-across
The report surfaces a finding that carries broader implications beyond digital-team operations. Some 31% of consumers said they would skip a brand entirely if an AI assistant flagged known site or app issues before their visit. As agentic AI tools increasingly mediate the discovery and evaluation of brands, routing consumers toward or away from products based on aggregated signals, the cost of an unresolved, publicly legible customer complaint is no longer limited to that individual's churn. It extends to every consumer an AI agent advises away from the brand before a transaction even begins.
This elevates the customer listening gap from a CX optimisation problem into a question of competitive positioning in an AI-intermediated marketplace. Retailers, financial services platforms, and any enterprise operating at consumer scale now face a scenario where the speed of their feedback-to-action cycle directly influences the signals that agentic systems surface to prospective customers. Brands that can close the loop in days rather than weeks are, as the report notes, better placed to retain the customers AI is routing their way.
The convergence here is between behavioural analytics, agentic AI infrastructure, and consumer-brand trust dynamics, a combination that sits awkwardly in any single specialist vertical. That said, Quantum Metric's benchmark is primarily a product-marketing vehicle for its forthcoming VoC launch, and the macro claims, particularly around AI-mediated brand discovery, are directional rather than quantified in the report itself.