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Customer Engagement

Sales Teams Lament Building AI on Broken Data Foundations

Around 46% say data quality issues directly affect their ability to perform effectively, indicating that the limitations are not peripheral but embedded within everyday workflows. AI is not fixing sales execution. It is exposing the data problems sales teams never solved.

AI Readiness Gap Is Slowing CX Transformation

Generative AI is delivering measurable gains across customer experience, but only a minority of organisations are prepared to scale agentic AI, exposing a widening gap between ambition and execution.

Trust Breakdown is Down to Brands Prioritising Efficiency Over Genuine Value

Only 5% of shoppers in APAC fully trust AI-generated brand content, says Klaviyo's Germaine Tay. "The first warning sign is usually a drop in engagement quality," she explains why AI overuse is eroding trust, and what brands need to change now.

Turning Feedback into a Strategic Brand Signal

"Consumers view a brand response as a signal that the company cares, and silence drives churn." Alchemer CCO Ryan Tamminga explains how AI is turning passive feedback into a real-time driver of retention and revenue.

Do QR Codes Have an Accountability Issue in Marketing Use Cases?

Widespread use has produced a set of performance indicators for tracking clicks and engagement. These metrics describe interaction rather than outcome. Without a clear link between scans and business impact, QR codes remain positioned as a channel that performs visibly but not necessarily measurably.

Fraud Prevention is Now a Core CX Problem

As ecommerce fraud becomes more sophisticated, CX teams are on the frontlines. Breanna Moreno explains why fraud prevention is no longer just a security issue, and how brands can protect both revenue and customer experience.

Only 35% Contact Centre Leadership Reports Clear Long-term AI Strategy

On paper, readiness looks strong. Around 85% of CX leaders say their organisation is prepared to implement AI. That confidence narrows when measured against execution: only 34% feel fully prepared, while a significant share remains in testing or early-stage deployment.
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