Marketing

Amazon just pulled off the biggest power shift in advertising since Google took over search, and most marketers are sleeping on it.   Netflix, Spotify, and Roku have opened their ad inventory to Amazon's DSP, putting purchase data from over 300 million shoppers directly behind your streaming campaigns.   I've been in digital marketing for over two decades, and I haven't seen a consolidation moment like this since the early days of Google Ads.   You will learn:   — Why Netflix, Spotify, and Roku collapsed their walled gardens and handed Amazon control of streaming ads  — How Amazon's first-party purchase data outperforms Google and Facebook targeting in a cookieless world  — The way programmatic advertising works inside Amazon DSP and why one remote click can close a sale  — How to know if your brand is ready for Amazon DSP and what to build toward if you're not there yet

Markiplier just broke Hollywood's playbook, and most studios still don't understand what happened. His horror film Iron Lung opened this weekend to $21M worldwide. On a $3M budget. Self-financed. Self-distributed. Virtually zero marketing spend. Let that sink in for a second. No studio backing. No bank financing. No distribution deal. He wrote it, directed it, starred in it, and released it under his own Markiplier Studios. When it came time for theatrical distribution, he didn't go hat-in-hand to distributors. His fans called theaters directly and demanded they screen it. The result? All three major US theater chains. 3,000+ venues in the US and Canada. 1,200+ screens internationally. Opening weekend? He rivaled Disney's Send Help for first place, a film with a $40M budget. He beat Melania's theatrical release as well. 7x return on budget in three days. Here's what the entertainment industry needs to reckon with: The traditional model assumes you need studios for financing, agencies for packaging, distributors for access, and massive marketing budgets for awareness. Markiplier needed none of it. He had something more valuable, a direct, loyal audience built over a decade on YouTube. This isn't a one-off anomaly. It's a preview of where entertainment is heading. MrBeast is building a content empire. Ryan Trahan just launched a feature. KSI, Logan Paul, and others are expanding into media businesses. The creator-to-studio pipeline is real, and it's accelerating. The question for traditional entertainment companies isn't whether creators can compete at the box office. Markiplier just answered that. The question is: what's your strategy when the talent doesn't need you anymore?

In a MAJOR ruling for European copyright law, the Munich Regional Court has sided with Germany’s music rights society GEMA against OpenAI, finding that the company’s ChatGPT model unlawfully used copyrighted song lyrics in its training and responses. The decision, issued this morning, marks the first major European court judgment holding an AI company liable for using protected works without a licence. I got into AI through being Director of Legal Affairs and Regulatory Compliance in IMRO, the Irish counterpart of GEMA - and I know the people in GEMA - so this is very interesting to me. The case centred on GEMA’s allegation that OpenAI trained ChatGPT on its repertoire of German song lyrics, allowing the chatbot to reproduce works by artists such as Helene Fischer and Herbert Grönemeyer. The court agreed, concluding that the model’s ability to reproduce lyrics word for word demonstrated that the works had been used in training. It ruled that OpenAI is liable for copyright infringement and prohibited ChatGPT from reproducing lyrics from GEMA-represented artists unless a licence is obtained. The court also held that the European Union’s Text and Data Mining exceptions cannot shield generative AI systems that “memorise” and reproduce copyrighted material. This reasoning undermines one of the primary legal defences AI developers have relied upon in Europe. While damages will be determined in a separate proceeding, the court’s finding of liability alone sets a powerful precedent. OpenAI has announced plans to appeal. The 42nd Civil Chamber of the Munich Regional Court had indicated its position in September, when it observed that the model’s outputs could not be explained without training on copyrighted material. The final judgment confirmed that assessment. For the wider AI sector, the ruling suggests that AI companies operating in the European Union may need explicit licences for any copyrighted content used in model training or risk litigation. The decision also has regulatory implications. It aligns with growing momentum within the EU to enforce transparency and rights-holder protections under the AI Act and the Copyright in the Digital Single Market Directive. The GEMA v OpenAI ruling diverges sharply from Bartz v Anthropic in the United States. In Bartz, Judge Alsup found that AI training on copyrighted material could qualify as fair use, meaning no licence is required when the use is deemed transformative and non-substitutive. He viewed training as an analytical process that teaches the model general patterns rather than reproducing expression. The Munich court took the opposite view, holding that using protected works in AI training without permission constitutes reproduction requiring a licence. This illustrates the growing divide between the U.S. model, where fair use can exempt AI developers from licensing duties, and the European approach, which treats copyright as an enforceable economic right demanding prior authorisation.

The ABCs of Greenwashing 🌍 Greenwashing weakens trust and slows down meaningful progress. When companies present overstated or unverified claims, it creates confusion across markets, misleads stakeholders, and reduces pressure for real change. The cost is not only reputational, it also undermines the credibility of sustainability efforts more broadly. As sustainability becomes a business priority, the risk of misleading communication continues to increase. The pressure to report progress has led to claims that are not always backed by substance. Recognizing the signals of greenwashing is essential to ensure integrity in reporting, communication, and strategy. The ABCs of Greenwashing is a practical reference that outlines common red flags, from vague wording and selective data to unverifiable targets and weak transparency. These signs often appear in sustainability reports, websites, product labels, and corporate campaigns. There is a growing demand for better sustainability communication. However, clarity must come with accuracy. Narratives that focus on ambition without showing results raise concerns. Authentic communication requires alignment between commitments, measurable progress, and public disclosures. Expectations are shifting. Stakeholders, regulators, and investors expect more than general statements. Claims must be supported by credible data, meaningful metrics, and consistent reporting. The absence of independent verification or full scope analysis is no longer seen as acceptable. Regulatory frameworks are evolving to address this. New directives and standards are increasing pressure on companies to validate their statements with clear evidence. This shift will affect how sustainability is communicated, measured, and governed across sectors. Avoiding greenwashing requires clear internal structures, cross functional accountability, and regular review of communication practices. Sustainability performance must be integrated into operations, not added as a marketing layer. This is not a communication issue alone. It is a strategic and operational matter. Claims must reflect business decisions, investment priorities, and outcomes that can be tracked over time. The ABCs of Greenwashing is a reminder of the need for precision, transparency, and consistency. Improving the quality of sustainability communication is essential for building trust, reducing risk, and advancing long term business goals. #sustainability #sustainable #business #esg #greenwashing 

The most expensive mistake in business is assuming your customers will never change. Last year, something shifted in Indian retail. Gen Z (377 million) overtook millennials (356 million) to become our largest consumer group, influencing $40-45 billion worth of apparel and footwear purchases. But they're not shopping at the stores we built for them. [Et Retail] Brands watched their growth collapse in just 12 months. → ZARA fell from 40% to 8% growth, [Et Retail] → Levi Strauss & Co. crashed from 54% to 4% growth [Et Retail] → H&M dropped from 40% to 11% growth [Et Retail] Here's why the growth has slowed down: 📌 Gen Z discovered new brands like Freakins and Bonkers Corner, offering trendy clothes at ₹500-800 📌 They chose self-expression over brand loyalty 📌 70% of their shopping moved online, heavily influenced by Instagram 📌 They demanded inclusive sizing (XS to XXL) and unisex options that legacy brands ignored Take FREAKINS, which clocked ₹25 crore in FY2023, or Bonkers.corner, clocked ₹100 crore. [The Economic Times] [Et Retail] These brands understood what Gen Z wanted: crop tops, baggy clothes, Korean pants, and oversized tees at prices that let them experiment with three different outfits daily. Body positivity isn't a marketing campaign for this generation. It's how they think. When they couldn't find the sizes or styles they wanted at premium stores priced at ₹1,200-1,500, they simply went elsewhere. Myntra saw the shift and launched FWD with ₹500 price points. The result was explosive: 100% year-on-year growth and 16 million Gen Z users, who now represent one in three e-lifestyle shoppers. [Et Retail] Legacy brands bet that Gen Z would "grow up" and pay premium prices. Instead, 377 million young Indians chose values over logos. The most expensive mistake in business? Assuming your customers will never change. What changes in your customer base have surprised you recently?

We talk a lot about how brands can connect to women. But here’s where I think the conversation goes wrong: Women are not one group of like-minded consumers. The category of “women” comprises 4 billion people with different preferences, professions, purchasing habits, and personal lives. So how can brands connect with women? Authenticity. I'm talking about the kind of authenticity that comes from truly understanding, representing, and serving the people your brand reaches. Why does this matter? Let's look at the numbers first:  • Women are overseeing $32 trillion in spending globally.  • By 2028, 75% of discretionary spending will be controlled by women. These aren't just statistics—they're a wake-up call for brands trying to connect with women. Brands historically miss the mark when they focus on women as "consumers," rather than as people. Take Dove's work with the CROWN Act, a movement and legislation aimed at prohibiting race-based hair discrimination in workplaces and schools. By bringing attention to how women of color—particularly Black women—have historically been told how to wear their hair at work, Dove drove meaningful change that extended far beyond marketing. The result for Dove (and its parent company Unilever) hasn't just been products sold, but actual legislative change—all because they stood for something that impacts the day-to-day life of their consumers. The key to the consumer paradigm: You cannot effectively serve women if you don't represent them at every level of your organization. Women continue to hold relatively few leadership positions in industries primarily serving women. The fashion and beauty industries, for example, are dominated by male leadership. When brands get it right, it shows. A few examples? FERRAGAMO appointed a female CEO back in 1960—long before it was trending—and that commitment to women in leadership has been woven into their DNA ever since. It’s not a campaign. It’s who they are. Or formula company Bobbie, which doesn’t just have consumers, they have devoted brand ambassadors, families, and loyal subscribers. True representation isn't about optics—it's about women making decisions at all levels—from product development to marketing to the C-suite. Maybe we need to retire the word "consumer" altogether. Because if we're talking about real, authentic connections, shouldn't we instead be focusing on people as human beings. It's no longer about thinking what you “should” create to get them to buy—it's about genuinely making that woman’s life better because you know exactly who she is. And your company’s leadership reflects that. 

A very easy way to improve your Amazon ads efficiency by at least 10% Let’s say you’re spending ₹4–5 lakhs/month on Amazon ads. Your ACoS looks okay. Conversion rate seems fine. But your gut tells you—you’re still wasting some money on irrelevant traffic You’re not wrong At Atomberg, we had found that some of our Amazon spend was going toward search terms that had no business seeing our ads: - “cheap fan” -“rechargeable fan” - “usb fan under 1000” None of these users were in-market for a ₹3,000+ BLDC ceiling fan. But we were still showing up. And paying for those clicks. And it’s not just us. I’ve seen 6–7 brands' Amazon ad accounts across categories over the last few years—same problem, every single time The fix? N-gram analysis Takes less than an hour. You don’t need to be a performance marketing expert. But the results compound What’s N-gram analysis? It’s breaking down every search term into its word components—1-grams, 2-grams, 3-grams—and then identifying patterns that consistently drive waste… or conversion. Example: “cheap rechargeable fan for hostel room” turns into: 1-grams: cheap, rechargeable, fan, hostel, room 2-grams: rechargeable fan, hostel room 3-grams: fan for hostel, etc. When you do this across all your search terms, you start seeing the real picture. Why this matters more than just checking your search term report: Search terms ≠ keywords a) One keyword can trigger 100s of different queries. Some convert. Most don’t. You need to find the patterns. b) Waste is diluted across low-volume terms. Maybe “rechargeable fan for hostel” spent ₹300. You ignore it. But what if 12 other queries with “rechargeable” spent ₹6,000 in total with zero conversions? c) Long-tail is infinite. N-grams are finite. You can’t negate every bad search. But you can block the core terms—“cheap”, “usb”, “mini”—once and be done with it. d) It helps you scale campaigns too. You can find goldmine phrases like “white ceiling fan”, “silent BLDC fan”, “fan for living room”—with 5x+ ROAS. Those became exact match campaigns What you should do: a) Pull last 3 months of search term data b) Break them into unigrams, bigrams, trigrams c) Create a pivot with spend, orders, ROAS by N-gram d) Negate high-spend, low-conversion N-grams (e.g., “cheap”, “rechargeable”) e) Boost high-ROAS ones (e.g., “bldc”, “ceiling fan white”) f) Add exact match campaigns g) Rinse and repeat monthly Try it. Guaranteed to improve efficiency at whatever scale you are operating If you want to read an expanded version of the post, link is in the first comment

Brad Pitt’s new F1 film is a masterclass in how brands can show up in culture. A $300 million budget. Real F1 tracks. And luxury brands fighting to sponsor a team that doesn’t even exist. It’s entertainment, sport and marketing all blending together... and it’s re-writing the playbook for how brands embed themselves into culture. Here’s what makes it stand out: • A fictional F1 team, APXGP, filmed during real Grand Prix weekends. • Brad Pitt, trained in a modified F2 car, driving alongside actual F1 drivers. • Lewis Hamilton co-producing to capture the authentic essence of the racing world. • Real brands like Mercedes-Benz AG, SharkNinja, IWC Schaffhausen and Tommy Hilfiger actively sponsoring a fictional team. • Actual drivers, including Max Verstappen and Carlos Sainz, making cameo appearances. • All set for release in cinemas June 2025, followed by streaming on Apple TV+. This isn’t just clever product placement, it’s narrative integration at its best. Real brands woven into a fictional story, filmed in real-time at actual events. And it’s a glimpse of where brand marketing is heading. The film isn’t even out yet, and here we are talking about the brands already. That’s how you build long-term equity. This is the new standard in marketing: • Culture first, commerce second. • Stories over traditional advertising. • Integration, not interruption. If your brand isn’t part of the stories people care about, good luck buying their attention. Learn from this. Build worlds people want to be part of. Create stories they’d miss if they disappeared. And find ways to turn up in that culture and be part of the narrative. Rather than looking for ways to interrupt them.

Haldiram understood something that no one else did: a product isn’t just what it tastes like—it’s how it makes people feel. And that’s where the magic began. Bhujia was common. Every corner of Rajasthan had someone selling it. But Haldiram didn’t just want to sell bhujia. He wanted it to mean something. So, he gave it a name that would stand out in the crowded bazaars. Not just any name—Dungar Sev, after Maharaja Dungar Singh of Bikaner. Think about it. A simple snack, suddenly infused with an air of royalty. What was once just fried sev became a symbol of status, a delicacy that carried the weight of a Maharaja’s name. The people of Bikaner didn’t just buy bhujia anymore. They bought Dungar Sev. And unknowingly, they bought into an idea—a brand. At the time, words like ‘branding’ and ‘marketing strategy’ weren’t common parlance in India. There were no MBAs, no advertising agencies plotting out product positioning. But Haldiram did what modern marketers today struggle to achieve: he gave an everyday product a unique identity and a powerful story. Naming the bhujia after royalty wasn’t just clever. It tapped into something deeply psychological—the human desire for exclusivity. People weren’t just eating a snack. They were consuming something elite, something tied to the grandeur of a kingdom. But Haldiram didn’t stop there. He understood something even more profound: consistency builds trust. As the demand grew, he ensured that no matter where his bhujia was sold, it tasted the same, had the same texture, and carried the same name. And just like that, an unorganized market started getting shaped by a singular force—brand recognition. An iconic Indian-born brand

7 out of 10 of my projects start with fixing what most people ignore. This includes: - making copy easier to read - making images informational - making product name impactful Simple, but yet forgotten. In this post, using URturms example, I'll be sharing 11 underestimated changes that can increase your website sales. 1. Adding breadcrumbs. Important if you drive ad traffic to the PDP directly. They take shopper to the parent category page. Reducing bounce rate. 2. Adding a badge. Like "Bestseller", "Most Loved", "Few Left". This reassures the shopper that they're making the right decision. 3. Making images easier to swipe. Add a sneak peek of the next image along with navigation dots that show the count. Cap them at 8. 4. Making the product name impactful. Add key USPs. Show your current product name to 10 people. Do they understand what it is? 5. Add a short description below product name. Keep it in 1 line. Highlight it's most important feature here. 6. Consider adding an offer close to price. This motivates the shopper as they see some potential savings or benefit. 7. Highlight key product strengths in bullets or with icons. Avoid sentences. Keep this before the add to cart CTA. 8. Keep your add to cart CTA full width. Don't combine it with quantity or another CTA next to it. Make sure it's readable and prominent. 9. Highlighting shipping time or return policy below the CTA. This solves for common questions - when will I get it? can I return it? 10. Cross-selling complementary products. Like bottoms with tops. Earrings with necklace. Do this close to the add to cart CTA. 11. Adding 'Benefits' to your accordion. This gets a higher click through rate, while helping shoppers understand why they should buy this. Other UX/UI changes I did: - Removed quantity button - Made the information bar non-moving - Removed log-in, moving search next to cart - Changed the font for product name and CTA - Increased font size in places for better readability Found this useful? Let me know in the comments! P.S. If you want to maximize your PDP’s potential, start by understanding your visitor's behavior and the gaps. Get heat maps for your site (Microsoft Clarity is free). Observe what they like to (and don't like to) interact with.