Why do so many beautifully designed websites, ads and digital experiences still fail to convert?

In this episode of The Digital Marketing Podcast, Daniel Rowles is joined by Kramer Reeves, CEO of EyeQuant, alongside neuroscientist Professor Peter König, one of the company's founders and a leading expert in visual attention and cognitive science. Together, they explore how neuroscience and AI are reshaping the way marketers, designers and brands understand attention.

The conversation dives into the hidden mechanics behind how people actually experience digital content. From subconscious processing and visual saliency through to cognitive overload and design clarity, this episode challenges many of the assumptions marketers make about what users notice, understand and act on.

The discussion also explores how AI-powered predictive attention modelling can help teams test creative assets before launch, reducing guesswork and improving performance across websites, ads, landing pages and social content.

If you work in UX, creative, digital marketing or conversion optimisation, this episode offers a fascinating blend of neuroscience theory and highly practical design advice.

Why the human brain is poorly adapted to navigating modern web experiences

What happens cognitively in the first few seconds after landing on a webpage

Why designers often view their own work very differently from first-time users

How "system one" thinking drives most user behaviour online

What visual saliency means, and why it matters for conversion

How cluttered creative and overloaded messaging dilute attention

Why visual hierarchy, contrast and scale shape user behaviour

The importance of creating a clear visual storyline through a page or ad

How AI models can predict where users are most likely to look

Why neuroscience is becoming increasingly important in modern marketing and UX

How EyeQuant uses predictive attention modelling to help brands optimise creative before launch

Why objective testing is becoming essential in an AI-generated content landscape

Attention is highly selective. You cannot make everything on a page the top priority simultaneously

The brain processes visual information subconsciously long before conscious reasoning begins

First impressions are heavily influenced by saliency and visual contrast

Designers are often too familiar with their own creative to judge it objectively

Reducing visual noise can significantly improve clarity and conversion potential

Motion, scale and contrast naturally attract human attention because of evolutionary wiring

Effective design is not just about aesthetics. It is about guiding behaviour

AI-driven predictive testing can dramatically speed up optimisation workflows

Clear intent and defined outcomes are becoming increasingly important inputs for creative analysis

Objective attention data helps teams move beyond subjective design debates

📥 Access the show notes, tools, and links at: https://targetinternet.com/resources/design-that-sticks-applying-neuroscience-to-predict-attention

What happens when a global brand hands over its creative control to unfiltered customer feedback? In this episode of The Digital Marketing Podcast, Daniel Rowles speaks with Emily Barfoot, Head of Dove Beauty at Unilever, about a bold and unconventional campaign built on Reddit conversations.

At a time when trust in polished marketing is eroding and AI is reshaping how content is discovered, Dove leaned into one of the internet's most unpredictable platforms. By amplifying genuine, unedited user reviews, both positive and negative, the brand not only drove awareness but also delivered measurable commercial impact. This episode explores how marketers can rethink control, embrace transparency, and tap into community-driven credibility.

How Dove identified an organic Reddit conversation and turned it into a multi-channel campaign
Why Reddit's "unpolished" nature makes it a powerful platform for trust and insight
The strategy behind publishing the first 50 real user reviews without editing or filtering
How Dove balanced positive and negative sentiment to build credibility
The role of social listening in shaping campaign direction and optimisation
How Reddit content was extended into out-of-home, influencer, and experiential marketing
Why transparency and respecting platform culture were critical to success
How the campaign delivered over 260 million impressions and triple-digit growth in the product category
The importance of many-to-many marketing in modern brand building
How Reddit insights fed directly into product innovation and development

Authenticity is not a tactic. It is a strategic commitment that requires letting go of control
User-generated content can outperform traditional creative when it reflects real experiences
Reddit is not just a media channel. It is a rich source of customer insight and product feedback
Brands must respect platform norms and community expectations to earn participation
Balanced sentiment, including negative feedback, increases trust and credibility
Social listening should be continuous and actionable, not just observational
Experiential marketing can amplify digital engagement when it creates shareable moments
AI-driven discovery makes community-led content more valuable than ever
Strong products and existing brand trust are essential before taking transparency risks
Marketing success increasingly depends on enabling conversations, not controlling them

📥 Access the show notes, tools, and links at: https://targetinternet.com/resources/reddit-marketing-case-study-with-dove-turning-real-reviews-into-real-growth

As AI rapidly reshapes how customers discover, evaluate, and engage with brands, marketers are being forced to rethink the fundamentals of the customer journey. In this episode of The Digital Marketing Podcast, Daniel Rowles speaks with Rachel Thornton, CMO of Adobe Enterprise, to explore what this shift really means in practice.

Recorded just ahead of Adobe Summit, Rachel shares exclusive insights into Adobe's latest thinking, product direction, and how enterprise marketers should adapt to an increasingly AI-driven landscape. From evolving user expectations to the rise of AI as the primary interface, this conversation goes beyond the hype to examine the real implications for strategy, data, and customer experience.

How AI is transforming the traditional linear customer journey into something far more dynamic and unpredictable
Why discovery and consideration are being reshaped by AI-powered interfaces and assistants
What Adobe is announcing at Summit and how it reflects broader industry shifts
How CMOs should rethink customer engagement in an environment where AI intermediates interactions
The growing importance of first-party data and real-time personalisation
How enterprise organisations are adapting their tech stacks to support AI-led experiences
The challenges of maintaining brand consistency when AI is part of the customer interface
What marketers often misunderstand about AI and where to focus instead
How internal teams and workflows need to evolve to keep pace with change

The customer journey is no longer linear. It is fluid, fragmented, and increasingly influenced by AI-driven touchpoints
AI is becoming the primary interface between brands and customers, which changes how influence and trust are built
Marketers need to prioritise high-quality, structured data to enable effective AI-driven personalisation
Speed and adaptability are now critical competitive advantages in digital marketing
Organisations must rethink not just tools, but also teams, processes, and skills
There is a growing need to balance automation with authentic brand voice and human oversight
Experimentation is essential. Waiting for certainty in AI adoption is likely to result in falling behind

📥 Access the show notes, tools, and links at: https://targetinternet.com/resources/the-changing-customer-journey-in-an-ai-first-world-insights-from-adobe-cmo