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Richard Shotton, a behavioural science expert, shares why brands must overcome the research gap, and understand the “whole truth” about consumers.

Automation in paid media offers efficiency and scalability, but over-reliance on AI-driven ad platforms can lead to hidden costs, lack of transparency, and reduced strategic control. Are marketers sacrificing long-term strategy for short-term convenience?

Explore five overlooked myths, from data biases to brand identity risks, and discover how businesses can strike the right balance.

The future of AI-generated content and its impact on creators hangs in the balance. The core issues are whether training AI on copyrighted material is infringement, and if AI-created content can be copyrighted.

Most businesses treat CRM as a service function rather than a growth driver, says Karan Gupta, Founder at MarTech Nexus. When done right, CRM can drive incremental CLV and revenue growth. But when done poorly—or merely as a “campaign factory”— the impact is minimal or hard to measure.

AI-driven voice modification and accent neutralisation offer clarity but raise concerns about bias and transparency. Should brands disclose AI-modified voice, and what are the long-term effects on trust and diversity?

The hardest part of transformation is always about shifting mindsets, managing resistance and fostering adoption among users and stakeholders who may or may not be welcoming of change.

The key to humanising the journey isn’t just personalisation—it’s about making every interaction feel timely, relevant, and genuinely customer-centric.

Shared goals, clear priorities, and constant communication will ensure cross-functional success with internal and external partners.

The future of Retail Media Networks (RMNs) lies in clean-room-powered data collaboration, while innovations in shoppable media, interactive ads, and omnichannel attribution will redefine engagement and measurement in CPG advertising.