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English language Visionary Marketing Podcasts
Visionary Marketing
98 episodes
6 days ago
Visionary Marketing publishes interviews with experts, marketers, innovators, Web and business experts on the subjects of innovation and marketing
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All content for English language Visionary Marketing Podcasts is the property of Visionary Marketing and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Visionary Marketing publishes interviews with experts, marketers, innovators, Web and business experts on the subjects of innovation and marketing
Show more...
Business News
Technology,
Business,
News,
Marketing
Episodes (20/98)
English language Visionary Marketing Podcasts
Web writing : words retain all their magic

Whereas artificial intelligence is reinventing Web writing, the written word has never been more valuable. Selim Niederhoffer, a copywriting trainer and bestselling author, has recently been exploring how marketing professionals can still succeed amidst “enshitification“, online influence, and automation. Meet an expert who remains confident in the power of words.



Copywriting in the age of AI: why words retain all their magic



Niederhoffer is adamant: despite GenAI, the written word retains its magic — image produced with Midjourney



Human vs. AI



Selim, a seasoned copywriter and author is keen on using what he calls “magic words.” Ask him why and his answer might surprise you in this age of sheer automation. “I’ve already been thinking about magic words for years. I want to dig deeper, show real examples and, most importantly, explain why they actually work.”







Pen and paper



His approach remains resolutely traditional.




“I genuinely work with a pen and paper.”




This approach reveals something fundamental about Web writing: it works when you truly understand the psychology behind it, not when you just mechanically apply copywriting techniques. Selim bases his work on well-established principles of persuasion.



Selim Niederhoffer still believes in the virtues of word magic in Web writing — image produced with Midjourney


“When there’s a principle of persuasion, there’s usually a word that goes with it. Take urgency or scarcity, for example. If something’s rare, that means limited places, running out of stock… that sort of thing. That’s how I build my word cluster.



The research then extends to field observation. “I look at what my clients are using, what’s going on at Burger King, McDonald’s, Nike. I check out the major brands too – what they’re doing on YouTube, on LinkedIn.”



Eventually, Selim identified 55 magic words but trimmed them down to 50. It’s an approach that perfectly shows what still sets humans apart from machines: the ability to critically analyse and curate with discrimination.



However, it’s worth adding nuance. Selim can’t conceal that he genuinely “loves” ChatGPT. As we’ll see later, this raises some legitimate questions.



Thank you! the ultimate magic word



Among the 50 words he’s analysed, the first is also the simplest: thank you! For Selim, this should be essential for every business. “How many times have you walked out of a shop where the sales assistant just didn’t seem to have noticed you? Whether you bought anything, or didn’t doesn’t make any difference, once the transaction’s done, you’re out the door.”



Yet some brands know how to thank their customers. “Nespresso or Apple, for example: the Nespresso employee comes out from behind her counter, she hands you your product. Thank you for your visit. Have a nice day! That’s how it should be.”



For Selim, saying “thank you!” is more than just being polite, it’s a way of life. “You can go further: thank you for your visit, thank you for subscribing to the newsletter, thank you for your comment.
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2 weeks ago
10 minutes 29 seconds

English language Visionary Marketing Podcasts
The Truth About the Environmental Impact of AI

Commentary on the environmental impact of AI often swings wildly between doom-and-gloom catastrophism and blind techno-optimism. But where’s the truth in all this? On July 24, 2025—the symbolic date of Earth Overshoot Day—we sat down with Yves Grandmontagne, founder and editor-in-chief of DCMAG (Data Centre Magazine*), to get his take on AI and its real environmental impact. It is worthy of note that Yves and I explored Silicon Valley’s infrastructure innovators together through extensive press tours some time ago. This provided us with firsthand insight into the tech industry’s approach to these challenges. The current annotated transcript of our interview is a summary of our thorough, nuanced, and let’s admit it, quite lengthy discussion. You are therefore encouraged to treat this article as your starting point for diving deeper into this extremely complex topic.



Exploring the Real Environmental Impact of AI



What’s the real environmental impact of AI? An employee keeps watch over the cooling units at Orange’s data centre in Val de Rueil in Normandy, France — Photo antimuseum.com


* DCMag is only available in French



This post summarises what turned out to be an incredibly rich hour-long conversation. The sheer complexity of this topic forced us to dig into multiple technical, economic, and environmental angles—making any kind of comprehensive analysis near inconceivable.



Drawing on his deep expertise in the data centre and AI sectors, Yves Grandmontagne gives us some much-needed factual perspective on a debate that’s often polarised between doomsday scenarios and over-the-top techno-optimism. To tackle this properly, we decided to take recent quotes—both positive and negative—and fact-check them with our expert.



Yves’s analysis helps us cut through the noise and understand what’s really at stake in this technological breakthrough.











Environmental Impact of AI: Reality Check Time



TLDR: Environmental Impact of AI



The electricity consumption issue is more nuanced than you think* – AI will represent 20-30% of data centre consumption (not twice that number), and only 2-4% of overall electricity consumption




* Energy efficiency gains are actually remarkable – Over the last decade: number of data centres x2, floor space x4, but energy consumption up only 6%



* Beware of dubious comparisons – Comparing a ChatGPT query to Google search is methodologically flawed (completely different technologies and services)



* Water consumption varies massively by geography – Huge issue in the US, but Europe has been using smarter closed-loop systems for ages



* Tech innovations look promising – New technologies (direct liquid cooling, immersion cooling) are slashing water and energy consumption



* AI might actually be part of the solution – Can optimise energy mix management and electricity transport, which is currently our main bottleneck



* Let’s get some perspective here – Data centre impact remains pretty marginal compared to the chemical industry (32% of French energy consumption) or agriculture




*All numbers by Yves Grandmontagne at Data Centre Magazine



Bottom line: The impact is “real but massively overstated”—we need to put things in c...
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3 weeks ago
23 minutes 27 seconds

English language Visionary Marketing Podcasts
Is the AI Bubble About to Burst?

Will the AI bubble burst or is GenAI here to stay? The artificial intelligence industry is experiencing unprecedented financial euphoria. Yet, the current situation is very confusing. AI investments are reaching dizzying heights. Let’s mention OpenAI’s $40 billion funding round at $300 billion valuation and Mistral AI’s €1.7 billion funding round. Yet, some commentators are very critical of the situation. For instance, Ed Zitron predicts that the AI bubble will burst in Q4 2025. All this is fueling intense, rather than rational, debate. I wanted to confront these concerns with the expertise of Bernhard Schaffrik, Principal Analyst at Forrester Research. His analysis is insightful and nuanced. In his mind, there will be some sort of correction, but at the same time, GenAI is too popular to disappear.



When Will the AI Bubble Burst?



Is the AI bubble about to burst or is GenAI here to stay? Forrester’s Schaffrik predicts corrections but says GenAI is too popular to go — photo by Forrester.com



Forrester’s Bernhard Schaffrik is recognized as one of the most insightful experts in artificial intelligence. He provides a nuanced analysis that transcends simple financial considerations. His perspective on the AI bubble burst scenario offers first-hand insights for understanding where this transformative technology is truly heading.







The AI Bubble: Financial Reality, Technological Continuity



The question of a potential AI bubble burst cannot receive a univocal answer. As Bernhard Schaffrik rightfully points out, it all depends on one’s perspective. This duality of vision probably constitutes one of the keys to understanding the current situation and the likelihood of an AI bubble burst.



Like us, Schaffrik righfully points out that the main issue with AI is societal and philosophical — image generated with Adobe Firefly



“It’s almost impossible to get a one-sentence response from an analyst. Allow me two sentences. Number one is, of course, it always depends on the role or the profile you’re asking. If we are talking about financial investors, then yes, there are strong signals of this being a bubble because there is so much money being pumped into it—more than $120 billion US dollars in capital expenditure on AI infrastructure alone, just by the Magnificent Seven tech providers. So that bubble could burst,” explains Forrester’s expert.



This assessment gains particular relevance when considering Google’s $9 billion AI data center investment in Oklahoma for advanced AI training infrastructure.



This financial perspective, however, tells only part of the story. Technological adoption follows a different logic from financial markets, as Schaffrik confirmed during our exchange about the AI bubble burst potential.



“But now, if you put yourself in the shoes of enterprise decision makers, tech decision makers, also AI users, there are many who would say, ‘I don’t care if that bubble bursts, the technology is there, and it won’t go away.’



“Regardless of the amounts all the financial transactions surrounding the AI industry, people are actually using this technology. And they like what they are seeing.
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1 month ago
27 minutes 5 seconds

English language Visionary Marketing Podcasts
AI Agents, Beyond the Hype

The world of artificial intelligence is evolving at breakneck speed, and nowhere is this more conspicuous than in the emergence of AI agents. As organizations grapple with separating genuine innovation from marketing hype, we sat down with Ed Keisling, Chief AI Officer at Progress Software, to cut through the noise and understand what AI agents really mean for businesses today. Ed brings a unique perspective, having taken on his new role in February 2025 at a time when the industry is proclaiming this as “the year of agents.” His insights reveal both the tremendous potential and the current limitations of this transformative technology. As always, time is of the essence.



AI Agents, Beyond the Hype



Preogress Software’s Ed Keisling did a great job debunking the myths surrounding AI Agents and showing what the future holds beyond the hype – photo Progress Software.


The Rise of the Chief AI Officer: A Strategic Imperative



The creation of Chief AI Officer roles across the technology industry signals more than just a trend—it represents a fundamental shift in how businesses view artificial intelligence. As Ed explains, “AI needs to be a strategic pillar of a business to drive innovation and growth. It really reflects the pace at which technology is evolving, and having somebody that is accountable to follow all these latest updates and really look at it through the lens of new risks and opportunities.”







This observation resonates with the broader digital transformation patterns we’ve witnessed over the past decade. Just as Chief Digital Officers emerged to guide organizations through the digital transformation revolution, Chief AI Officers are now stepping up to navigate the AI transformation. The role isn’t merely about implementing technology—it’s about strategic thinking, risk assessment, and identifying genuine business opportunities in a rapidly changing landscape.



AI agents: the promise with tools like Manus is that they would behave like your favourite dog. Go search, Rover…! — photo by antimuseum.com


Defining AI Agents: Beyond the Buzzwords



One of the most persistent challenges in the AI space is the confusion surrounding terminology. AI agents, in particular, have become an overloaded term that means different things to different people. Ed provides valuable clarity by positioning agents on a spectrum of AI capabilities.



“When generative AI came out, it was generally reactive,” Ed notes. “We would go to ChatGPT, provide a prompt, and it would generate a response based on its training patterns. Agents are moving along that spectrum in terms of capabilities—they have the ability to perceive their environment, access to audio, video, documents, and crucially, the ability to reason, plan, and learn from their actions.”



Unfortunately, Rover isn’t always willing to search in the right direction… — photo by antimuseum.com



Traditional automation relies on strict rule-based systems—the digital equivalent of if-then-else logic. Chatbots, while more sophisticated, remain predominantly reactive. AI agents represent a step toward proactive, reasoning systems that can adapt to changing circumstances.




AI agents represent a step toward proactive, reasoning systems that can adapt to changing circumstances




The evolution doesn’t stop there. Ed introduces the concept of “Show more...
1 month ago
28 minutes 14 seconds

English language Visionary Marketing Podcasts
Voluntourism: Changing the World from Your Hotel

In an era of overtourism, where mass travel increasingly strains destinations worldwide, Christopher Hill offers a compelling alternative with his voluntourism/volunteer travel business, Hands-Up Holidays. As a founder and managing director of this company, Hill has built a business model that demonstrates how travel companies can be forces for good rather than exploitation. His approach to volunteer travel challenges the conventional wisdom that luxury and social responsibility cannot coexist.



Voluntourism: When Volunteer Travel and Luxury Coexist For Mutual Benefit



Voluntourism is a portmanteau expression combining “volunteer” and “tourism” — Photo from Hands Up blog post on Earth Day Eco-Luxury Inspiration (Mexico – conservation of turtles in Baja California by Christopher Hill)


What makes Hands Up Holidays’ philosophy particularly noteworthy is its commitment to controlled growth, prioritising quality experiences over scale. Rather than pursuing rapid expansion that could compromise his mission, Christopher Hill maintains personal oversight of every client interaction, proving that sustainable business practices can create more meaningful outcomes for travellers and communities alike.







Operating across over 30 countries, Hands Up Holidays represents a fascinating case study in how the apparent contradiction between luxury accommodations and volunteer work can enhance both experiences.



Here is the account of our interview.



What kind of work are your clients doing during their volunteer travel?



We offer a great variety of projects. Our most popular initiatives are building projects, which can range from small-scale but highly tangible endeavours like constructing or installing eco-friendly stoves in village homes to larger undertakings such as helping build houses or renovating school classrooms.



Beyond construction, we focus heavily on wildlife conservation projects, where families might care for elephants or participate in sea turtle protection programs. The third major area involves educational support, particularly serving as reading partners in local schools. Each project is carefully selected to ensure meaningful impact while being suitable for family participation.



Nayara Tented Camp – The tented camp was built on stilts and a lot of space was left between tents to plant trees and palms between them. Thousands of trees and indigenous bushes have been planted to reforest and repair damage done by cattle farmers. Energy and water conservation measures are in place. The majority of the team is from the local town, and free transport and health services are provided.


What triggered your shift from London finance to voluntourism?



It was quite a dramatic shift, and in true dramatic fashion, I experienced my own road to Damascus moment in South Africa. This happened about six years into my career in London’s financial sector. During a trip there, beyond the traditional safari experiences and stays at beautiful lodges throughout Cape Town and the Garden Route, I participated in building a house for a family in one of the townships. This experience was genuinely life-changing in two fundamental ways.



First, it enabled me to interact authentically with local people,
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3 months ago
20 minutes 29 seconds

English language Visionary Marketing Podcasts
AI Sales Enablement: 20% Time Savings for Sales and 50% for Marketing

AI is radically transforming the B2B sales landscape and accelerating the shift towards intelligent sales enablement. At a major B2B event which took place in Paris in July 2025, I met with Stephane Renger, co-founder and managing director of Salesapps. The leading European sales enablement vendor has placed AI at the heart of its innovation strategy. In this interview conducted at the event, Stephane explains how AI agents are revolutionising commercial efficiency whilst maximising security and privacy. A fascinating dive into the future of AI-powered sales enablement that’s redefining commercial performance standards.



AI Saves Time for Sales and Marketing Teams




AI-powered sales enablement : Stephane Renger is the co-founder and General Manager of European sales enablement company Salesapps.








How is AI transforming sales enablement and sales in general?



Stephane Renger: At Salesapps, we’re working on AI agents with the goal of bringing greater efficiency to sales teams, while maximising data privacy and security.



Specifically, what do these AI agents do?



S.R. We developed three types of intelligent agents for our AI-powered sales enablement solution.




* The ‘company profiler‘ AI agent analyses the targeted business regarding its strengths, weaknesses, products, competition, news…,



* The ‘individual profiler’ agent describes the buyer’s profile: background, interests, pain points… Then we use content enrichment agents with metadata to generate sales presentations and pitches,



* Finally, our ‘conversational agent’ restructures meeting minutes and reports.





Once again, this major B2B event took place in the prestigious premises of the Parc des Princes in Paris, with a focus on AI-powered sales enablement.




What are the efficiency gains from the implementation of AI within sales enablement?



S.R. They are quite blatant, mainly in terms of time savings. Thanks to AI, salespeople quickly access information that used to take hours to research.




For a complete sales team, there is at least 20% time saving, which equates to one working day every week. Marketing teams and content managers can save up to 50% of their time.




Is this an opportunity for getting rid of salespeople?



S.R. No, it’s not. Salespeople only spend one third of their time actually selling. Two thirds are devoted to paperwork, CRM, preparation. Automation frees up their time from what isn’t their core business.



Are certain sales roles more threatened than others?



S.R. It depends mainly on the products being sold. The buyer only spends 5% of their time with the salesperson, 80% of the purchasing process happens on the web. So the remaining 5% must involve a complex buying process to require human intervention. In other cases, self-service is way sufficient, even in B2B.



In a nutshell, Sales Enablement becomes AI-Powered Sales?



S. R. For the past two years, we’ve been talking more about ‘AI-powered sales enablement’ than traditional Sales Enablement. This concept is more immediately understandable and evokes innovation in the commercial approach. Worthy of note, for English-speaking markets, we keep that term ‘sales enablement’, but for French-speaking markets,
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4 months ago
18 minutes 31 seconds

English language Visionary Marketing Podcasts
The Future of Developers in the Age of AI

Are AI and developers the world’s best friends or is artificial intelligence a threat to the future of programmers? As artificial intelligence models are becoming increasingly sophisticated, many questions are raised about the future of developers across the industry. Will AI replace programmers entirely, as Eric Schmidt and Dario Amodei are predicting? Will junior developers be facing extinction, as Steve Yegge surmised in a now-famous blog post? Or are we witnessing the dawn of a new era in which technology amplifies human creativity rather than replacing it? I interviewed Nathaniel Okenwa, Developer Evangelist at Twilio, to pick his brains about this question, and his conclusion is that, in the future, software development will undoubtedly remain human-driven even though many changes will occur. The video recording of that interview is available at the end of this blog post.



Developers and AI: the Path to the Future of Coding







With nearly a decade of hands-on programming experience and a unique perspective on developer community engagement, Nathaniel Okenwa brought both technical depth and strategic insight to this conversation about the evolving landscape of software development.







Spreading the Gospel of Developer Tools



“My parents celebrated when I got that job title of developer evangelist,” Okenwa said. “I speak and meet with developers, online or in person, and I talk about the tools and the technologies they’re using. A part of this job is being with the community and then spreading the good news of Twilio as well.”



AI and programmers, a love-hate relationship? — image antimuseum.com



For those unfamiliar with the company, “Twilio is a customer engagement platform and one of the providers helping businesses with their customer support, communication tools, and APIs.”



The Junior Developer Dilemma



The elephant in the room for the Tech industry is the fate of junior developers. Steve Yegge’s provocative piece ‘The Death of the Junior Developer’ has sparked intense debate, suggesting that AI won’t make inexperienced developers smarter but will enable experienced programmers to eliminate the need for juniors altogether. A daunting perspective for young programmers.



Nathaniel offers a more nuanced perspective that challenges this binary thinking .




Often, a company doesn’t hire junior developers for their current capabilities. They recruit them because they’re investing in what they will become in the future. Junior developers need to exist if we are going to have mid-level senior developers, developer leaders, and architects at a later time.




Nathaniel is right. Programming isn’t just about syntax and algorithms; it’s about developing problem-solving instincts, understanding business contexts, and learning to translate human needs into technological solutions.



‘If you want to create the next generation of builders, then I don’t think junior developers are going to disappear in the long term. We may forget how important they are for a little bit, but they will definitely make a comeback later on.’



The Eric Schmidt Prophecy: Six Months to Obsolescence?



The urgency of these questions intensified when Eric Schmidt,
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4 months ago
27 minutes 53 seconds

English language Visionary Marketing Podcasts
Luxury Brands Maximize Experiences in Sports Events
How do luxury brands maximize experiences in sports events? I attended the 2025 Monte-Carlo Masters, which showed a strong presence of elite brands fighting for high-end customer engagement. Brands such as Rolex, Sergio Tacchini, and Replay can be found advertised almost everywhere at the famous tennis tournament. These brands use the values of this tennis tournament’s identity, which are class, prestige, excellence, and exclusivity, to reinforce their brand image. In this article we will be looking into the strategy behind bougie companies and their connection to the Monte-Carlo Masters Tennis Tournament. 
Luxury Brands Maximize Experiences in Sports Events
Sports Sponsorship in Luxury Branding
Luxury brands have had a history of gravitating towards sports such as tennis, golf and equestrian sports because these sports emphasized precision, elegance, and tradition. Brands saw that it seemed like a good fit for their deluxe identity due to the traditional affluent audiences that these sports offered.
Only the best of the best athletes competing at these events align with the values of the most luxurious brands that they are the best of what they do. These brands are able to prolong their exclusivity while opening up visibility to sports viewership.
As brands become bigger and sports viewership grows, stylish brands are opening up to collaborations with bigger sports that may not have as much class or prestige, such as football and basketball. 

Strategic Brand Positioning at the Monte-Carlo Masters
What once was known as the Monte-Carlo Masters is now known as the Rolex Monte-Carlo Masters. Rolex has positioned themselves front and center at a prestige tournament. Not only are they in the title of the tournament, they are on the logo and can be found everywhere at the tournament itself.
Another brand that has strategically positioned itself is Sergio Tacchini. Being at the tournament itself, it is impossible to miss; every ball kid and many employees working for the tournament wear a piece of clothing from Sergio Tacchini. Just being at the tournament, you are constantly being advertised to, whether you realize it or not; everywhere you look, you are reading another brand name.
Other brands, such as Maserati and Emirates, help back the elitist and prestigious image of the tournament.
Monaco, home of the tournament, is known for its wealth as well as its opulent residents, one more reason to advertise an elegant brand, as the target market is mainly wealthy individuals. “According to the World Population Review, Monaco is the richest country in the world in terms of GDP per capita and is regarded as the “billionaires’ playground.”
Celebrities and top-level athletes being at the tournament make being at the event feel like it’s only for those of wealth, class, and elegance. 
Brand and Customer Experiences 
Some of the most exclusive experiences at the Monte-Carlo Masters are sponsored by posh brands. VIP lounges and luxury suites are curated for high-end customers and guests.
Additionally, behind-the-scenes access, meet-and-greets with athletes, and fancy gifting moments allow brands to showcase their exclusivity even more to only those that can afford them. Hospitality packages include gifts, discounts, special access, and events made to feel extraordinarily classy. 
The Société des Bains de Mer (SBM), which is responsible for venues at the event, creates gourmet dining opportunities as well as private lounges mimicking luxury brands.
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6 months ago
6 minutes 23 seconds

English language Visionary Marketing Podcasts
GenAI Prompting Guide for Aspiring Experts
If you are dying to understand the various GenAI prompting methods, how AI interacts with your prompt, and why this is key to optimising your results, this free prompting guide was made for you. This manual describes GenAI chatbots and the different methods of prompting. It was put forward by Frederic Cavazza, a digital transformation expert, consultant and speaker with over 25 years of experience.
A Free Prompting Guide for Aspiring GenAI Experts
I’ve known Frederic Cavazza for years and I’ve even had the pleasure of working on a few engagements with him. As we were on our way to a GenAI client workshop a few months ago, he showed me this guide and I thought to myself: “This is exactly what I’d like to share with my readers and students”.
Hence this translation and adaption of Frederic’s prompting guide, with his kind permission. I tried his tricks myself and I can guarantee that the mega prompt he describes at the end of the guide is really something you should test, copy, paste, adapt and keep in your own prompt library.
A GenAI Guide about the Art of Prompting
Artificial intelligence is booming, and chatbots like ChatGPT are radically transforming the way we interact with digital tools, changing the way we work. This guide aims to introduce you to the art of ‘prompting’, a key skill for engaging effectively with these artificial intelligence platforms and making the most of their potential.
If you’re researching a topic on the Web and you type in a simple key phrase, the result may not be very compelling. On the other hand, if you structure your search well, you’ll get more relevant answers. And so it goes with artificial intelligence tools like chatbots or digital assistants.
The more structured the prompt, the more relevant the outcome
GenAI Prompting?
The way you ask AI chatbots questions or give them instructions is conducive to more or less convincing results. This is what is called ‘prompting’, i.e., the art of formulating clear and precise instructions to guide the work of artificial intelligence models.
In essence, a well-structured prompt is like a well-formulated search query. When done properly, it shall provide relevant results.
There is no one-size-fits-all prompt methodology, as use cases differ from one user to another. However, we recommend you use one of these three methods based on your needs.
Three Recommended GenAI Prompting Methods
These three methods are entitled RTF (Role, task, format), CRAFT (Context, role, action, format, tone of voice) and COAT-SITES (context objective, acumen, task, specimen, impediments, tone of voice, encoding, scrutiny). Each technique works best depending on expected results. RTF was made for quick results, CRAFT, for simple questions with more accurate results and COAT-SITES, for clear cut questions and extensive results.
So, what are these methods about? Here they are in more detail.
1. RTF Method
With RTF, the prompts specify the role, task and format that AI should adhere to. It consists in a simple, “you are…, you must…, your answer must…” Role indicates who the AI bot should impersonate, providing a contextual framework. Task, gives AI the precise action or problem to be solved, guiding AI towards the expected objective. And Format specifies the type and structure of the outcome.
2. CRAFT Method
Should you be looking for more accurate results, it might then be a good idea to expand your prompt to incorporate more context. The CRAFT method is therefore what you would have to resort to. CRAFT implies providing specifics to the AI chatbot in your prompt such as, “I’m in charge of…, you are… you have to…, your answer should include…, choose the following tone of voice.”
With the CRAFT method,
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7 months ago
7 minutes 32 seconds

English language Visionary Marketing Podcasts
AI Search : Breaking Up With Your Traditional Search Engine
How is AI Search changing the Internet and what role are we playing in this transformation? In this article, I discuss the current state of adoption of AI-powered search engines. By reflecting on the perspectives of Kevin Roose, Matteo Wong and Joanna Stern, this piece explores what we gain—faster, more organized access to information—and what we risk losing—the diversity of sources, depth of content and our curiosity to go beyond a single answer.
Breaking Up With Your Traditional Search Engine
Is it time to ditch Google and your other favorite search engines? In the past few years, AI has disrupted numerous industries in the digital sector, but arguably one of the most noteworthy shifts has been in the online search market. Think of the last time you searched the internet for information—did you sift through pages of websites, or did AI place the answer at your feet? 
The decades-long reign of Google might just be challenged by this new age of conversational and contextually aware search power. 
Three Voices on AI Search: Roose, Wong and Stern
To examine this idea more deeply, this piece will consider three different articles written by Kevin Roose, Matteo Wong and Joanna Stern. As the conversation surrounding AI evolves, their observations offer unique points, from skepticism to adoption, reflecting the considerable development of AI capabilities and increasing adoption by users. 
By breaking down their findings and looking at the numbers of adoption, I will explore the current and future landscape of AI-powered search. So whether you’ve already hitched your ride to the AI bandwagon or are still clinging to your Google tabs, here’s a glance at where our process of search, the internet, and information is headed. 
Kevin Roose: Continuing with Caution
In February 2024, Kevin Roose wrote an article for The New York Times titled “Can This A.I.-Powered Search Engine Replace Google? It Has for Me.” As you might have guessed from the title, Roose’s experience was a positive one, but not without some hesitation.
To test his theory, Roose gave up Google, instead opting for Perplexity, an AI search engine founded by former OpenAI and Meta researchers. Roose’s several-week adoption of Perplexity left him sufficiently convinced AI search engines were a valid competitor against traditional web browsers, but adjustments were needed if they are going to win the race. 

The information retrieval and contextual understanding offered by AI proved more useful for the majority of his work. However, due to AI’s limitations, Google was not obsolete. Acknowledging the absence of credible sources, real-time updates, and the occasional lack of truth AI provided, Roose found his usage of AI had certainly become more prominent, but most successful when used alongside Google.
The article suggests the adoption of AI will not be a bold movement, but a gradual and natural shift in user behavior. Still indecisive on the effects AI will have on journalists, publishers and others who create the internet landscape, Roose stated, “I’ll have to weigh the convenience of using Perplexity against the worry that, by using it, I’m contributing to my own doom.” 
Matteo Wong: Exploratory Search
Roose is far from the only one to have concerns about the growing popularity of AI. The Atlantic’s Matteo Wong placed a heavy critique on AI in his article “The Death of Search.” Wong’s piece focused less on the way in which a person uses AI and more on the way that AI changes our relationship with information.
 
In his view, the concern is not AI’s credibility or factua...
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7 months ago
8 minutes 20 seconds

English language Visionary Marketing Podcasts
Chores to AI, Thinking to Humans
Let AI handle the chores, and humans do the thinking: such should be the future of content marketing. In this piece, I try and debunk a few myths. Firstly, generative AI  can be creative — and often is. Secondly, AI doesn’t necessarily make us stupid; we don’t need it for that. And thirdly, becoming a prompting Guru isn’t necessarily the key to producing great content. The question of AI’s role in content marketing is actually more strategic than technical: it’s about why and for whom we create content. This is the major issue at stake for today’s and tomorrow’s marketers. In this presentation, I urge readers not to outsource their thinking to AI, and rather offload the chores of low-value tasks to machines. Unfortunately, it should be noted that they aren’t always doing a good job with that.
Chores to AI, Ideas to Humans
TL; DR

* Ms Bernard is an SEO agency avatar who adds links to Visionary Marketing on “her” website. Her “work” raises some fundamental questions. 
* Criticisms aimed at AI often miss the mark and overlook fundamental issues: why we write, for whom, for what purpose…
* We also dismiss a few myths such as ‘AI can’t be creative’, ‘AI makes us stupid’, and ‘mastering prompting is a silver bullet’.
* Hence, the question of AI’s role in content marketing is more about strategy than it is about tech.
* In this presentation, I urge content creators (and readers alike) not to outsource their reasoning and to leave the chores to AI.


AI and Marie Bernard, the e-commerce Queen
Let me introduce you to Ms Marie Bernard. This pretty young woman, somewhat artificial in appearance, exists only in Midjourney’s archives and on the website of “her” SEO agency. This supposed e-commerce expert found herself embroiled in a semantic mix-up that was both amusing and revealing.
Taking inspiration from one of my articles, this visionary author mixed up ‘snow globe’, an expression used by one of my expert interviewees as a metaphor, and ‘snowball effect’. Thank God, she inserted a link to Visionary Marketing so that I could correct that fatal mistake. Far from being trivial, this anecdote raises a few fundamental questions. Who is writing? For whom? How? And for what purpose? In fact, it even poses bigger questions such as “what is humans’ place in society, and what sort of society do we want for our children and children’s children?”
AI Information Overload 
Content about generative AI is so ubiquitous that we have gone past information overload. AI content analysts are skirmishing via X (formerly Twitter) and LinkedIn posts, mainly on the technical front (this AI is better than that one), creativity (AI produces interesting ideas or rather, is dull and inferior to humans), and usage (“download my ultimate prompting guide!”). Yet all these debates (and sadly others that are less prevalent, like the poorly documented issue of energy consumption) fail to address other key questions: who are we creating for, why, and for whom do we work — or more broadly, what kind of society do we want in the future? 
Generative AI at the Heart of the World’s Issues 
AI, and in particular generative AI, have generated most of the noise on social media, blogs, newsletters, and chat around the pub. Traditional economy seems to be ignoring the phenomenon or treating it as incidental — a recurring habit when it comes to digital innovations, but online debates live on unabated.  
Whether and how we should use generative artificial intelligence is now a central question in our modern societies, and that’s understandable. Machines have been able to play around with text since the 1950s, but computing power and large-scale training on such a vast and decent dataset — despite criticisms —...
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7 months ago
29 minutes 40 seconds

English language Visionary Marketing Podcasts
Is disruptive innovation overhyped?
Isn’t the notion of “disruption “, aka disruptive innovation, used and abused by analysts and technology experts? And by dint of abuse, aren’t we in the process of deluding ourselves? At a time when some are fretting about the volatility of the business generated by ‘unicorns’ or even centaurs, it is perhaps worth asking whether we have not entered an innovation bubble, yet accentuated by that of generative AI, marked by the correction of technology values and a return to more traditional values. Yet it may be too early to find out about the reality of such disruptive innovations. Here are my thoughts about the subject with a few references to sources and books I found interesting.
Disruption: Is Disruptive Innovation Overhyped?

The so-called GenAI revolution
While some have been claiming that we are living in a bubble of innovation (here, here and here for instance and here and here with AI), it has to be said that not everyone always agrees. Especially with the advent of the so-called GenAI revolution.
As I felt like tackling the topic of disruptive innovation, I thought it would be interesting to revisit an article by Joanne Jacobs from a few years ago about this subject: ‘Are we in a disruptive bubble?‘.
In this piece, she explains what role disruptive innovation is playing in contemporary markets. She argues that disruption is not just a fad, but something more profound.

Forget all about unicorns, here come the centaurs! Bessemer Venture Partners – State of the Cloud 2022The hype surrounding disruptive innovation is overwhelming. Here is what I found here and there:

* Disruptive innovation is deemed to impact businesses and employment . with all-out automation a major source of job destruction;
* Integration of productive innovation is supposed to have enabled some companies to reinvent themselves ;
* Organisations are said to be reshaped through the introduction of collaborative networked business approaches ;
* Profound changes in traditional markets (as for banks for Show more...
8 months ago
18 minutes 58 seconds

English language Visionary Marketing Podcasts
Ethical growth hacking is not an oxymoron
Growth hacking can often be perceived as toxic, but you can sit back and relax, it is possible to practise ethical growth hacking but it requires time and energy, growth hacking expert Frederic Canevet explained to Visionary Marketing. In a nutshell, it may be a little harder than you think, but it is well worth the effort. Fred, who ate his own dogfood to sell his bestseller on the subject, tells us everything we should know about whte hat growth hacking.
Ethical Growth Hacking Is Not an Oxymoron

Could you mention historical examples of growth hacking?
Frédéric Canevet: There are two tale-telling cases that illustrate the controversial practices of growth hacking perfectly:

* In America, Airbnb got its start by exploiting data from Craigslist. The company developed an automated system to extract property listings and contact owners, offering them the chance to earn $500 a week by listing their accommodation on Airbnb.
* In France, the founder of Telecom operator Free Mobile Xavier Niel, back in the days of the Minitel, created a tool to send automated mass messages to Minitel users. Lonely hearts messaging services on the Minitel being most profitable at that time, he launched a competitor to a leading dating service and diverted their traffic through targeted messages. Although this practice earned him legal action and a lost court case, the profits generated helped him build his initial fortune, notably through a network of sex shops linked to this Minitel business.

Can Growth Hacking Be ethical and responsible, though?
FC: Yes, it’s feasible but it requires time and effort.
How should our vision of growth hacking evolve overtime?
FC: Our approach has to evolve considerably in the face of today’s economic challenges. In a tense economic climate, we can no longer afford traditional marketing with its long-term plans. This is precisely what inspired growth hacking in Silicon Valley, where startups had to, as the time-honoured slogan went, “live or die“. In a world tending towards the end of consumerism, at least in Europe, the challenge is to do more with less.
There are three levels of growth hacking.

* “White hat” represents legal and ethical practices, similar to the “Fosbury flop” in athletics – a revolutionary innovation, but one that abides to the rules. This approach is based on business cycle analysis using the AARRR method: Acquisition, Activation, Retention, Recommendation and Revenue.
* “Grey hat” is sitting in the middle. For example, automation on LinkedIn, although prohibited by the platform, is still widely practised. I have personally experienced the risks of resorting to this approach when I was suspended for managing two separate profiles.
* Finally, “Black hat” encompasses strictly prohibited practices: i.e. creating fake accounts, identity theft, or unauthorised recovery of personal data. These methods may seem tempting in the short term, but prove disastrous for a company’s reputation and long-term survival.

How can we guarantee efficiency while remaining ethical?
FC: Sending mass unsolicited messages in LinkedIn serves no purpose. Instead, effectiveness lies in forging true connections. The strategy I adopt lies in the daily publication of high added value content, demonstrating real expertise. It’s not an aggressive sales approach, but rather inbound marketing based on trust.
In fact, email spam is a no no. You send 10,000 emails and what you get is a 0.5% open rate and a slightly lower click rate. All in all,
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8 months ago
9 minutes 22 seconds

English language Visionary Marketing Podcasts
AI in retail: shrinking queuing times today, headcount tomorrow
AI is redefining retail for good, bringing in the kind of automation and professionalism once implemented in the manufacturing industry. In this case, it’s mostly revolving around data-driven marketing decisions and in-store retail media capabilities. As shown by Axians, a VINCI group company, AI isn’t a mere toy for undergraduate students who are failing their tests and need better inspiration. It’s a robust, state of the art high-tech engine for growth and better in-store management. Yet, as often with technology, there are two sides of the same coin. The other one is more ominous, though, depicting a future of retail where layoffs will continue to rise, mostly for those retailers who missed that boat of AI-driven customisation. Here is the account of our discussion with Hugo Rocha Gonçalves, Axians’ head of Smart RetAIl, at Tech for Retail 2024. 
AI in retail: shrinking queuing times today, headcount tomorrow
You’re in charge of the smart retail solution at Axians. What is it?
Hugo Gonçalves. We developed the Smart retAIl concept to address the main challenges that the retail industry is facing today. There is a strong need to better understand in-store consumer behaviour, profile and shopping habits. We provide this knowledge to improve store efficiency, and to enable data-driven decision-making.
Can you describe the process of Smart RetAIl?
H.G. We are using AI and computer vision to accomplish this. 

* The first step is to understand how the stores are organised, what the shop floor looks like, and also how we can capture this data anonymously — for obvious GDPR compliance reasons — to fuel a data-driven decision process. 
* After capturing this anonymised data through computer vision, there are a couple of things we need to understand. Such as footfall, who are the buyers, when they are buying, and their paths through the store. We need to map, with the help of AI, the hot and cold zones within the store. Within these zones, we can understand if people are proper shoppers or if they are merely passers-by, and how much time they spend doing their purchases.

In a sense, this is some sort of heat map within the store
H.G. This is precisely what it is. And with this heat map, we can also understand what products people are looking at, how much time they spend. With AI we are taking this to a new level. This new level includes product tasting and testing. Two good examples are chocolate tasting, where we need to understand through computer vision when a customer is tasting something, which is very important in chocolate stores, and perfume stores. With this technology we can detect if the customer is testing the perfume and then understand if he or she will buy it or not afterwards.
This means you are automating the work of market researchers who used to observe in-store consumer behaviour
H.G. Indeed. It used to be very tedious work to have someone watching hours and hours of video, trying to understand customer behaviour, customisation, and buying habits. Now we have AI that can process 24 hours of video, covering all the opening hours of a given store. We can process all this data and obtain valuable insights as well as data enriched by AI and computer vision.
So you are capturing a flow of images through in-store cameras, how is it working?
H.G. This entire process demonstrates the beauty of machine learning and AI. No need to resort to supplementary intrusive devices in the stores. We are using existing in-store CCTV cameras. We subsequently apply AI image processing, frame by frame, on the existing footage. The data is recognised and categorised by the AI automaticall...
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11 months ago
18 minutes 32 seconds

English language Visionary Marketing Podcasts
Data-Driven AI Is the Future of Customer Experience
Data-Driven AI is the future of customer experience, François Ajenstat told us at a recent interview. François is Chief Product Officer at Amplitude, the company behind a digital analytics platform aimed at helping B2B and B2C businesses build better products, websites and ecommerce experiences through behavioural data. François stressed the significance of data-driven AI within analytics but also delivered a clear warning: Don’t fall in love with what you have built! Focus on delivering second-to-none customer experiences instead. He emphasised that implementing chatbots without purpose isn’t beneficial, noting that too often, in this new world, businesses rush to add chatbots but it doesn’t make “anybody happier. No. People are still frustrated.”
Data-Driven AI Is the Future of Customer Experience
AI Integration and Implementation in analytics, what does it mean?
François Ajenstat. While AI capabilities have existed for years through statistics and machine learning, generative AI has opened new possibilities. We’ve integrated this through “Ask Amplitude,” allowing natural language queries with visual responses. Thus, users can simply ask questions about their most engaged users and receive actionable insights.
I could ask the system, “Who are my favourite readers, for instance?”
Absolutely. And you’d get the answer in a flash and the system would suggest what actions you should take and how you should engage them. Alternatively, it could help you visualise the journey of those users.
This is what you call the 3 key aspects of Data-driven AI Implementation
F.A. Indeed, we focus on three different areas with a massive potential impact.

* Simplification first: removing complexity through natural language interfaces. We’ve had speech-to-text capabilities for years, but users often found this feature intimidating. There used to be a learning curve before you could use it properly. Now it’s a lot easier. You just ask a question in natural language and it brings the result for you automatically.
* Augmentation is the second area: it’s about enhancing human capabilities rather than replacing them. A great example of that might be if you’re analysing some data and you want to understand the outliers* or what the key drivers are. Help me understand the root cause of this problem. This is where you can unleash AI to really drill into the data on your behalf and come up with insights. So we’ve added those capabilities in our product. We’ve also added what we call a data assistant, which will tell you automatically where there are data quality issues or improvements.
* Last comes Automation: this is where you find workflows and you ask AI to execute tasks on your behalf. It could be about automatically engaging users. It could be around guiding those users by delivering the right content, images, text, based on given use cases. Enabling 24/7 execution of routine tasks while allowing marketers to focus on strategy. The key thing is to engage the user at every single touch point and use AI to make every interaction a little better so you can drive a better outcome.

*Outliers (statistics): a data point on a graph or in a set of results that is very much bigger or smaller than the next nearest data point.
Do you think that AI is made for beginners or super experts like Steve Yegge?
F.A. Every time new technologies emerge, it causes fear, uncertainty,
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11 months ago
16 minutes 55 seconds

English language Visionary Marketing Podcasts
Protecting your privacy and avoiding cookie pop-ups
Ever heard of cookie pop-ups? It’s true that it’s hard to escape them. Following the 2011 Cookie Directive, sites have finally complied. But rather than deleting cookies, they have installed cookie pop-ups, which throw annoying messages at you and prevent you from surfing the web. They’re useless, mostly because they don’t really improve data confidentiality. Their main purpose is for sites that track your data for advertising purposes to cover their tracks and pretend they’ve become virtuous. Here’s how to get rid of them.
How to get rid of the cookie pop-ups
You’re all familiar with those messages that warn you when you’re visiting a website stating that your data will be used, and that your consent is required to do so.

50 times a day you click, but not to get rid of cookies, but rather the cookie pop-ups.
Internet users’ knowledge of cookies

Thanks to Statista, we can see that more than half (73%) of internet users in the United States are somewhat or completely unknowledgeable about cookies. Using this knowledge, websites take advantage by simply having a cookie pop-up, forcing users to click through to access the content.
Europeans are highly exposed to cookies
What are the countermeasures against cookie pop-ups?
So, what is there to do to reduce these repetitive, irritating messages? A content blocker sometimes won’t be enough to protect you from these cookie pop-ups. This list is not exhaustive and may evolve. Don’t hesitate to suggest additional solutions, which we’ll add to our benchmark.
Firefox for those who still use it
Let’s start with this extension for Firefox. Developed by Alessio Capponi, the No Cookie Wall extension claims just 26 users.
Brave, the brave Web 3 browser that takes care of cookie pop-ups for you
Brave, one of our favorite browsers, has also taken to blocking cookie pop-ups. Here’s what Brave has to say about it in the release of the latest version of the Web3 browser: “You know those annoying cookie consent notifications that pop up every time you visit a new website?”.
Newer versions of Brave can hide them and, if possible, block them completely. Simply update to the latest version of Brave.” If you miss the prompt to block cookie consents the first time, you can visit brave://settings/shields/filters and easily enable/disable the EasyList-Cookie List option.

Safari or the hunt for cookie pop-ups
Safari (exclusive to Apple products) has an even more radical option: block all cookies. It’s so violent that when we activated it this morning, we lost much of the content of this post, which we had to recreate. Handle with care. Because it also deletes session cookies, which are essential if you want to remain connected to a site. This is my case here on WordPress. I’m there most of the day and I don’t want to log in again 20 times a day.
Edge on the verge of an anti-cookie pop-ups meltdown
On Edge (Microsoft): Edge is Microsoft’s new browser, also available on Apple hardware. It’s very fast, extremely well designed, and includes Web3 subtleties such as a Wallet.
What’s more, it lets you try out GPT4 coupled with Bing (aka Bing AI. Nice, but…). So here’s the CookieBlock extension, straight from Zurich. CookieBlock is a browser extension that lets you automatically delete cookies that don’t respect your privacy.
Using advanced machine-learning technology, it classifies cookies into four distinct categories.
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12 months ago
6 minutes 32 seconds

English language Visionary Marketing Podcasts
GENAI and Content Marketing: Learning from experience
Is GenAI content marketing-friendly? Adobe organised a round-table discussion during their Experience Makers conference in Paris at the end of last year. The debate brought together a few digital experts. During this debate, I mentioned that there were limitations associated with GenAI image production and that they weren’t technical. Others contended that it was just a matter of prompt engineering. In my opinion, proper prompting may be recommended, but the limitations of GenAI image generation tools extend far beyond that. Such is my point, which I substantiate in this piece with insights derived from a two-year practice of such online tools while editing this very website.
GenAI and Content Marketing Lessons From Experience
This debate on GenAI and content marketing was an opportunity to take a step back and think about images and how they can illustrate and differentiate our brands. Here we look at how generative AI was used to illustrate the Visionary Marketing news website.
This debate was organised by Adobe at the Louis Vuitton Foundation in Paris. The main topic was GenAI and its impact on content marketing. This discussion turned out to be an opportunity for me to take stock of a year’s experience of using generative AI to produce images for Visionary Marketing.
GenAI and Content: Excitement and Second Thoughts
At first, as we discovered Midjourney and its clones, at the end of 2022 we all were very excited. And boy! Did we have fun producing images for all intents and purposes. Then came a moment when one needed to hold our horses. It was indeed high time to take a step back from it all to ponder over the use of GenAI with regard to content marketing. As I explained during the debate, it reminded me of these HDR filters I discovered when I started using Adobe Lightroom 12 years ago. At first, I resorted to them on almost a daily basis. Five years on, in hindsight, I removed all these HDR pictures.
Thus, here are a few thoughts on the use of these tools which, in my view, are more than ever, worth investigating. Yet, one should look at them in the context of the widespread use of GenAI tools by both Web users and the Media.

* Firstly, what was initially pleasurable, at a time we felt like trailblazers, ends up being repetitive and bland. We come across too many of these pictures in the Media and on the Internet. Some of my readers pointed this out to me. My co-author even said he can’t understand why I don’t make more use of my own photos, whereas I am a photographer. He’s both right and wrong, and I’ll come back to that later. In the meantime, I insist that the featured image of this post is an original (and deliberately cryptic) photo by yours truly.
* Secondly, these pictures, often produced in haste, end up looking the same. They are also often rather garish, with saturated colours that are very characteristic of virtual images. They’re also rather banal and sometimes vulgar. I realise that this is a personal and biased statement. After all, though, when it comes to images, there is no such thing as objectivity.
* There’s also a general trend towards ‘heroic fantasy’ images, a genre I have nothing against. Even though it’s not to my liking. Regardless of personal tastes, this does seem to add fuel to the fire of the trivialisation of images. To this one may add sci-fi-like illustrations, which are sometimes quite successful, but also confer a déjà vu aspect to your content.
* Lastly, a feeling of unease about images that are very realistic but at the same time are not. It’s a phenomenon known in the digital world as the...
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1 year ago
7 minutes 17 seconds

English language Visionary Marketing Podcasts
Influencer Marketing: Average European Spend at €3.5m Annually
The state of influencer marketing in Europe 2024 is a survey conducted by Kolsquare, a leading European influencer marketing agency. It provides a particularly interesting perspective on influencer marketing budgets, how influencer marketing is handled and its future trends. Besides, its comparison of Europe’s main markets for IM is clearly enlightening. It’s one of the first if not the first of its kind and it sheds light on the way that businesses are conducting marketing with Key Opinion Leaders, at least for business to consumers. One of the most striking takeaways from this study is the sheer size of the average European influencer marketing budget which is evaluated at a whacking €3.375 million annually. 
European Businesses Spend nearly €3.5m Annually on Influencer Marketing
Methodology of the 2024 Influencer Marketing Survey
This 2024 European Influencer Marketing (IM) survey was conducted by Kolsquare and NewtonX. It involved 385 decision makers representing medium to large organisations across various sectors (Beauty and fashion, IT, SaaS and Telecommunications, Retail food and beverages, entertainment …). All respondents had more than two years of experience in influencer marketing. The sample is relatively large for that kind of B2B survey with five countries surveyed (France, Germany, Spain, Italy, and the United Kingdom) and approximately 80 respondents in each of these countries.
The European influencer marketing landscape
Thanks to this survey, we now have evidence that the influencer market is really significant with €3.375 million spent on influencer marketing by European businesses annually, and Germany topping the list at €5.74 million per annum. Micro influencers (10,000 to 100,000 followers) being the most popular partners for the surveyed European businesses. Respondents’ expectations on growth are very optimistic with 54% of them expecting to increase their influencer marketing budget next year. Unsurprisingly, the influencer marketing landscape has shifted towards three main platforms: Instagram, TikTok, and YouTube.
More than ever, influencer marketing is here to stay with 27% of respondents saying that it will become more important in the marketing mix. And even 6% stating that it will become the most important part of the overall marketing spend.
UK marketers seem less prone to spend huge chunks of their budgets on influencer marketing with a yearly average of £848,000 (still a whopping €1.02 million!) Brands are also declaring that they will become more selective in the influencers with whom they work (56%). Ethics is topping the list of preoccupations in Italy and France, but less in the UK and not that much at all in Germany.
Indeed, Germany is described by Kolsquare as “the big spender”, but not very keen on ethical considerations. Unlike the French and Italians, who said to be prioritising corporate ethics when selecting influencers.
This emphasises a significant shift in the market, whereas four or five years ago we were stressing the fact that ethics weren’t really on French influencer marketing managers’ priority list.
Social network usage by marketers and Key Opinion Leaders
When it comes to social network usage by influencer marketers, the shift towards Instagram, TikTok and YouTube is significant. However, Facebook has not disappeared from the IM landscape completely, as it is still the platform of choice in the UK.
X has slipped down the ladder and further down one can find niche platforms such as Twitch, Pinterest, Snapchat and a flurry of Chinese platforms that are clearly less attractive to European marketers. What is surprising, though is that LinkedIn is definitely not part of this list,
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1 year ago
8 minutes 16 seconds

English language Visionary Marketing Podcasts
Cyber threat Landscape Europe, 2024
The Cyber threat landscape in Europe is quite worrying. A recent survey by Cloudflare was conducted amongst 4,261 IT executives responsible for cybersecurity in Europe. 24% of the sample is made from small enterprises (150–999 employees), 24% from medium-sized businesses (1,000–2,500 employees) and 52% from large organisations (above 2,500 employees). All major European countries were surveyed by Cloudflare in their study entitled Shielding the future: Europe’s cyber threat landscape. The report paints a rather bleak picture but stresses that solutions exist… as long as leadership teams understand what new Cyber threat countermeasures like Zero Trust are about. All in all, this will require all management teams, not just IT, to better understand the ins and outs of such dangers.
European Cyber threat Landscape: a bleak picture but there is still hope

The sample of this survey is quite comprehensive given its high profile and B2B orientation.
Some of the takeaways from this report on the European Cyber threat landscape include:
– All kinds of businesses are impacted by cyber threats with 72% of respondents reporting at least one incident in the last 24 months,
– 84% of respondents reported more incidents compared to past years. With a staggering 43% of those organisations experiencing 10 or more attacks in the past 12 months,
– Attackers are resorting to a variety of methods, with phishing and Web attacks on top of the list,
– A remarkable low number of respondents (29%) state that they are well prepared for future incidents, therefore leaving 71% out of that picture,
– Over half of respondents anticipate that their organisation will dedicate more IT budget to cybersecurity,
– There is a growing concern that “adding numerous point solutions is not the answer“. With nearly half of respondents ranking “simplifying and consolidating their cybersecurity stack” as one of their top three priorities,
– Moving to zero trust security could help but 86% of respondents reported that their leadership teams do not yet fully understand this model.
It seems that an increasingly dangerous cybersecurity landscape is causing more and more aggravation within organisations. The growing complexity of open networks with access to increasing amounts of money is too big a temptation for most cybercrooks to resist. Besides, the staggering complexity of IT, networking and especially cybersecurity solutions such as zero trust explain why there are so few companies that are ready to implement such solutions. However much sense they may make.
However much I hate the idea, it seems that too much openness of such systems isn’t making our lives easier.

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1 year ago
4 minutes 7 seconds

English language Visionary Marketing Podcasts
NotebookLM by Google: Artificial Voices, Real Concerns
Content creation with artificial intelligence is already old hat as it’s been going on for a few years and, unfortunately, slop is now populating the Internet at an increasing pace. Yet, when I received this message from a good friend of mine last week regarding Google’s new app entitled NotebookLM, I was shellshocked. I tried it and tested it and felt immediately overwhelmed. Having slept over it for a few days, I’m just recovering, so here are my impressions. 
NotebookLM by Google: Artificial Voices, Real Concerns
The other day, a friend of mine sent me a message about Google’s new NotebookLM AI application. As I always do that kind of thing, I tried and tested it immediately. The catchphrase for NotebookLM is “Think Smarter, Not Harder” and Google presents it as “The ultimate tool for understanding the information that matters most to you, built with Gemini 1.5”.
NotebookLM: made to ‘understand’ information?
I wonder about that. Is it really a tool made to “understand information”? This sounds a bit dubious. 
The aim of NotebookLM is to turn a piece of text, a video, a web link into a conversational podcast. It is semi customisable and not quite finished. But it gives you an idea of what the future has in store for us, content creators. 
On the one hand, the technology is great and works fine, barring a few glitches, on the other hand, it’s a window on a very weird and dark future  (once again, it’s not the tool that is the problem but the people using the tool, as Bradbury remarked). 
For my initial test, I selected one of my English pieces about artificial intelligence (AGI). I copied and pasted my text into the window and hey presto! a few seconds later, a proper conversational podcast between an American man and woman was available. Here it is 
I must admit I couldn’t believe my ears when I heard this podcast produced from a mere piece of text. It was both brilliant and daunting. I immediately thought that anybody could produce an audio conversation out of anybody’s blog piece and I suppose that some of the laziest of content creators will do just that.
When I looked into the podcast in greater detail, I spotted that there were a few glitches here and there and especially the quote by Ray Bradbury which is definitely not taken from Fahrenheit 451. It’s clearly mentioned in my text. 
Man | 01:24.308
It’s like that line from Fahrenheit 451. I’m not afraid of robots. I’m afraid of people, people, people.
Woman | 01:28.691
Yeah.
Well… nope, sorry (and by the way, I hate your “yeahing” at me). This was taken from Bradbury’s 1974 letter to Brian Sibley. It’s clearly stated and the link to the source file is explicit. 
One more test
This very morning, I went back to the application and tried it once more. I inserted a YouTube video and it failed a couple of times. So I gave up and copied a web URL and it worked wonders. This time I used my fraud and AI piece with Fujitsu. 
I tried to customise the podcast but I couldn’t change the American voices nor the tone of voice which isn’t consistent with mine. I tried to turn it into a more professional, less casual, tone of voice. This didn’t work as planned. But my instructions aimed at making the podcast more factual and to focus on the numbers were executed correctly by the AI. 
That said, when you listen to the entire podcast, especially towards the end you will realise that the AI is adding quite a lot of content to it and making its own commentary. 
A few worrying signs
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1 year ago
9 minutes 20 seconds

English language Visionary Marketing Podcasts
Visionary Marketing publishes interviews with experts, marketers, innovators, Web and business experts on the subjects of innovation and marketing