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

In this episode of The Digital Marketing Podcast, Daniel Rowles is joined by Kendall Breitman from Riverside for a practical conversation about how marketers can use video without needing a full production team, a huge budget or a complicated workflow.

Together, they explore why video has become so central to modern marketing, how brands can use it to strengthen SEO and answer engine optimisation, and why authentic, human-led content is outperforming overly polished corporate production. The discussion also dives into practical ways to build a video strategy from webinars, podcasts, customer conversations and expert interviews, then repurpose that long-form content into clips, blog posts, newsletters and more. It is a useful episode for any marketer looking to make video simpler, smarter and more sustainable.

Why video is becoming essential for SEO, AI overviews and discoverability across search and social platforms

How authentic, human-centred video is replacing overly scripted and expensive marketing production

Why social media works better when brands behave more like people than polished corporate entities

How marketers can use customer interviews and user conversations as both research and content

Why webinars, podcasts and expert interviews can become the foundation of an entire month of content

How long-form content can be repurposed into medium-form YouTube videos, short-form social clips, blogs, newsletters and gated assets

Why medium-form video is often overlooked, despite being highly effective for search visibility and website engagement

The most common mistake brands make with video: failing to record valuable conversations and insights in the first place

How video testimonials and advocacy content can support trust, social proof and brand visibility

Where AI is genuinely helping video production, from transcripts and clips to editing support and audio clean-up

Video works best when it feels useful and human, not overly produced.

A single long-form recording can power a much broader content strategy than a series of disconnected short-form posts.

Customer conversations are valuable twice over. They generate insight for the business and content for the brand.

Video strategy should be tied to business goals, whether that is awareness, education, trust or loyalty.

Searchable, practical content such as straight-to-camera answers and product walkthroughs can deliver strong SEO and AEO value.

AI should support storytellers, not replace them. The best use of AI is reducing friction so people can create more authentic content.

Brands that build confidence in video now will be better placed as the format becomes even more central to digital marketing.

The future of video is likely to be more accessible, more efficient and more human, not less.

📥 Access the show notes, tools, and links at: https://targetinternet.com/resources/practical-video-marketing

What happens when you combine practical digital marketing experience with behavioural science? In this episode, Daniel Rowles is joined by Phil Agnew, host of the Nudge podcast and a specialist in behavioural science, to explore eight psychology experiments and principles that can help marketers create more effective campaigns, stronger customer experiences and more persuasive messaging.

Phil shares the original studies behind concepts such as social proof, loss aversion, anchoring and the peak-end rule, then shows how they can be applied in real marketing scenarios, from Reddit ads and SaaS websites to loyalty programmes, pricing pages and customer journeys. The result is a highly practical episode for marketers who want to sharpen their thinking and make better decisions in a world full of noise, automation and increasingly generic content.

Social proof: why it still works, why specificity matters, and why implying popularity can be more powerful than simply claiming it

Loyalty and endowed progress: how giving customers a sense of momentum can make them more likely to complete a journey and stay engaged

Loss aversion: why messages framed around what people stand to lose can outperform those focused only on gains

The pratfall effect: how showing a flaw, when paired with clear competence, can make a brand or person more likeable

Distinctiveness: why standing out matters even more in an AI-saturated content landscape

Anchoring: how the first number, comparison or frame people see can radically shape how they judge value

The peak-end rule: why customers often remember the emotional high point and the ending of an experience more than everything in between

Visible effort: why people value products, services and content more when they can see the work behind them

Real examples from digital marketing: including Reddit ad testing, website messaging, social proof banners, pricing psychology and travel search UX

Behavioural science is most useful when it is translated into practical tests, not treated as abstract theory

Social proof works best when it feels natural and contextual, rather than overly promotional

Small shifts in wording can have a major effect on click-throughs, conversions and retention

Customers do not always judge experiences rationally. They remember moments, contrasts and endings

Showing some humanity or imperfection can make brands feel more credible and relatable

Distinctive positioning is becoming more valuable as AI makes average content easier to produce at scale

Helping customers feel progress, momentum or visibility into effort can improve engagement and loyalty

Marketers should revisit core psychological principles before chasing every new platform or tool

📥 Access the show notes, tools, and links at: https://targetinternet.com/resources/8-psychology-experiments-for-marketers