Retail & Merchandising

One image just disrupted a £22 billion fashion empire more effectively than a thousand sustainability reports. 🔥 This isn't an official SHEIN campaign gone wrong. It's artist Emanuele Morelli's AI creation—a haunting visualisation showing what fast fashion's "affordability" really costs us. The image speaks volumes: a SHEIN billboard where the model's flowing dress transforms into a cascade of textile waste. Art communicating what statistics alone cannot. 5 uncomfortable truths this image forces us to confront: 1. The scale of fashion waste is staggering → 92 million tonnes of textile waste produced annually  → The equivalent of one rubbish lorry of textiles dumped every second  → Most fast fashion items designed to be worn fewer than 10 times 2. The business model depends on our amnesia → Constantly changing trends keep us buying  → Ultra-low prices remove financial friction  → Digital marketing creates artificial scarcity and FOMO  → We're trained to forget yesterday's purchases 3. The true cost isn't on the price tag → Environmental damage from production chemicals  → Microplastics shedding into water systems  → Supply chain ethics compromised for speed and cost  → Communities near production sites bearing health consequences 4. Our definition of "affordable" is broken → When clothing is cheaper than a coffee, someone else is paying  → True cost spread across communities, environments, and future generations  → Psychological cost of constant consumption never factored in 5. Solutions exist but require systemic change → Circular fashion models gaining traction  → Rental and resale markets growing rapidly  → Consumer awareness rising but needs to translate to behaviour While SHEIN isn't the only culprit in the fast fashion ecosystem, Morelli's artwork throws a spotlight on an uncomfortable reality we've normalised. What we wear reflects our values more than our taste. What is your wardrobe saying about yours? Image: Emanuele Morelli ♻️ Found this helpful? Repost to share with your network.  ⚡ Want more content like this? Hit follow Maya Moufarek.

80% of your PDP visitors will never see the add to cart CTA. Here's why: - your price seems too high - your product does not look attractive - your PDP has too much info in initial folds This impacts your add to cart rate. And your conversions, revenue, profit. A visible add to cart CTA is key to a successful online business. Visible. But not placed "too early". Not before your visitor is ready to click on it. In this example, using Cetaphil's PDP, I've made 10 changes that make the add to cart CTA more visible and increase the conversion rate. 1. Add the "use case" of your product above the product name. What purpose it solves. Helps the visitor quickly understand if it's for them. 2. Add a 1-2 line benefit-driven summary of the product under the product name. This gets the user interested and reading further. 3. Optimize the price area by mentioning quantity, ml, units (if this is applicable to your product). This shows them value for money and justifies price. 4. Highlight a result the user can expect with numbers on the image. This should be proven by an actual study. 5. Add image thumbnails. Make sure the image gallery in a one-stop place to get all key information about the product. 6. Add a short summary in bullets before the add to cart. Keep the bullet points to 1 line on mobile. 7. Show the quantity and their price upfront and not under a drop-down. If you have more than 4 options, you can consider having a drop-down. Highlight savings for all options. 8. Optimize the add to cart area by highlighting the delivery time and rate. 9. Highlight product USPs or brand USPs below the add to cart in a visual format using icons. Make sure this info is unique and not repeated above. 10. Add an upsell section like "Complete your routine" or "Complete your look". This increases your AOV and helps the shopper find relevant products easily. Other UX/UI and CRO changes I did: - Added an information bar with shipping info - Added a cart icon in the logo bar - Reduced the image height 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. Start with one change, measure impact, and iterate for continuous improvement. If you have questions about CRO or web design, reach out to me on DM. #conversionrateoptimization

At airtel, I ran an iPhone giveaway marketing campaign three times, and to my surprise, none of them performed. Logically, you’d think offering a prize as attractive as an iPhone, especially during the launch period, would drive massive engagement. The assumption is that everyone would rush to participate, download your app, engage with the campaign, and complete the required actions. But what actually happened was the opposite. Engagement was shockingly, embarrassingly low. In contrast, campaigns that offered much smaller rewards—like a ₹1,000 or ₹500 voucher, or even just a free mobile recharge—generated higher participation rates, more app downloads, and greater overall engagement. But why does this happen? This outcome can be largely attributed to consumer psychology. When the reward seems too large or unattainable, people instinctively doubt their chances of winning. The concept of *perceived probability* comes into play here. When the prize is something as high-value as an iPhone, people immediately think, "What are the odds that I’ll actually win?" This skepticism causes them to disengage and not even bother trying, as they don't see the reward as realistically achievable. On the other hand, smaller, more attainable rewards feel within reach. A ₹1,000 voucher or a free recharge doesn’t carry the same sense of improbability. People feel like they have a real shot at winning something smaller, which encourages them to take the necessary actions, leading to better campaign results. In essence, psychology plays a far more critical role in shaping consumer behavior than we give it credit for.

🚨Amazon has built a really cool new ad tech to monetise Prime videos, but it’s not what you would have thought! 🚨 To appreciate this new ad tech we need to go back in time and look at some history. We would have all watched on movies and tv shows where products have been strategically placed to drive brand awareness and recall. The hit show Stranger Things had about a 140 brands featured in the 4th season with some estimates sizing it to $27million in brand placement value. And this is just one season of one show. As more and more people are disengaging with intercepting ads, brands and media producers are trying innovative ways to gets brands in front of eyeballs without being skipped. Now if a studio had to integrate with brands, it requires for them to coordinate before hand with the brands and figure out where to strategically place the products and shoot the content. Enter Amazon’s Virtual Product Placement Technology. Virtual product placement is an emerging technology that inserts a digitally rendered product, billboard, or logo into a movie or TV series after it has been filmed. Amazon collaborates closely with content creators when determining placement locations and available product categories for each participating title. All decisions are made in line with the artistic vision for each movie or series, with a shared goal that placements will not interfere with the story or affect the viewer’s enjoyment. Brands are expected to spend upwards of $125bn by 2026 on video ads, so it’s a pretty huge market they are going after. Stats also show that 63% of viewers say they feel the urge to buy a product when they see it featured in a TV show with GenZ leading the pack. In a specific case study, Bubly a sparkling water brand saw a 18.1% lift in aided recall, 6.8% lift in brand favourability, 16.5% lift in purchase. This ad format becomes even more powerful when you combine it with Amazons e-commerce marketplace where marketeers can do full funnel advertisements all the way from awareness to purchase. Secondly, with post production virtual product placement, the same product placement could be bid by different brands for e.g the scene having bubly could very well also have any other canned drink which ever fit into the category. I must say this is by far one of the most impressive ad tech I have come across in recent times and Amazon is truly Priming us to purchase.

Loyalty is failing. Gen Z & long-term commitment. 22% of Gen Z consumers consider themselves loyal to one brand is a clear warning for legacy loyalty strategies. Unlike previous generations, Gen Z doesn’t see brand loyalty as a long-term commitment, they’re loyal to moments, not just names. +43% increase in engagement and sales conversions among Gen Z Beauty brands offering "limited-edition drops" and collaborative experiences. +71% Gen Z say they would rather spend money on an experience than a product. >>Loyalty is FAILING, but why<< +Transactional systems feel outdated: Point-based rewards for repeat purchases don’t excite this audience. They expect more than discounts or free samples. +They’re brand-agnostic but experience-driven: Gen Z freely switches between brands if the experience, aesthetic, or values feel fresher or more aligned with their identity. +They buy into stories, not just products: They want to align with brands that represent something, social causes, cultural movements, or communities they relate to. >>DYNAMIC LOYALTY<< What’s this? as it name indicates its a system that rewards interaction, aligns with their values, and constantly evolves. And that is what your brand needs. → Create experience-driven loyalty programs: Offer early access to limited drops, invite-only events, or backstage content. Think like a fan club, not a punch card. +Example: A loyalty tier that unlocks tickets to a pop-up experience or an exclusive AR filter. →Let them co-create: Invite Gen Z customers to co-develop product ideas, designs, or campaign themes. Give them ownership in your brand’s creative journey. +Example: Voting on packaging designs or joining beta tester groups. →Align with their values: Sustainability, inclusivity, and social good aren’t nice-to-haves. they’re expectations. Use loyalty programs to reward actions too, like recycling, sharing causes, or supporting small creators. +Example: “Earn loyalty points by returning empties or attending a sustainability workshop.” →Deliver constant novelty: Rotate limited editions regularly. Use scarcity and surprise to create FOMO and buzz. +Gen Z doesn’t commit to a single brand, but they’ll keep returning if each visit feels fresh and share-worthy. →Go omnichannel but social-first. Should live across TikTok, Instagram, pop-ups, and web. Let them earn or unlock rewards through social engagement, not just purchases. +Example: A user gets exclusive content or perks for creating UGC with your brand. Bottom Line. Loyalty must be earned over and over through experience, relevance, and emotional connection. Think dynamic loyalty: a system that rewards interaction and go for it. Find my curated search of examples and get ready for your next HIT. Featured Brands: Balmain Benefit Chanel Charlotte tilbury Cerave Fennty L’Oreal OGX YSL #beautypackaging #beautybusiness #beautyprofessionals #experienceretail #luxuryexperiences #genz

Six years ago, I took over marketing at a company that went to 40 trade shows per year, and I cut that to 4. When I joined CoLab to lead marketing, we had zero conferences planned. I booked 2 the first year, and increased it to 6 the following year. What happened? Did my opinion on trade shows do a 180? Nope - the black and white pro - trade show vs. anti - trade show narrative is just an oversimplification. Most companies can go to at least a couple shows per year and get a positive ROI. Problem is - most companies are going to way more than a couple of shows per year and they have no idea which ones produce a positive ROI. You actually need a decent amount of rigor and discipline to figure this out. If you scale your conference spend too fast, you'll skip important retrospectives. It's easy to end up in the first scenario I described, where I had to cut trade shows by 90% in a year. Here's what you should do instead: 1) Start with a manageable number of conferences (no more than 1-2 per quarter, unless you have someone working on it full time) 2) Define success criteria going in: - You should have a qualified pipeline target - You should have tight definitions for what constitutes qualified pipeline, in the context of a conference - If you want to measure success based on other things (like establishing partnerships, moving in pipeline opps forward, etc.), figure those things out ahead of time too 3) After each show, do a retro and understand whether you achieved or missed your success criteria 4) If you missed, figure out why: - Is it a bad show for you? (e.g. not enough good fit ICP attendees) - Or could you make something of it, with some tweaks to your own execution? If it's the latter, you can go back again next year and test the new approach. Just like your email list, your trade show portfolio is something you should be constantly managing and "pruning" Most companies don't apply this level of rigor, which is why most trade show + conference programs are really, really wasteful. #b2bmarketing

The Evolving Face of the US Homebuyer The National Association of Realtors' (NAR) 2024 report provides a fascinating snapshot of the US housing market’s buyer profile that looks significantly different than it did just a few years ago. The data reveals a changing homebuyer. The average buyer age has climbed to a record 56, underscoring the impact of high housing costs and rising interest rates that have sidelined younger would-be buyers. For first-time buyers, the average age is now 38, nearly a decade older than it was in the early 1980s. These changes signal a more mature buyer who brings accumulated wealth and likely more significant financial security to the table. Additionally, a fifth of all home purchases were made by single women, a notable demographic shift reflecting both a societal change in homeownership goals and an economic shift in who can afford to buy. By contrast, single men comprised only 8% of recent buyers. This snapshot highlights what many are calling a “bifurcated housing market,” where those able to buy homes are increasingly established, wealthier individuals, often using home equity from previous properties to secure cash purchases or make substantial down payments. This market has been largely inaccessible to younger buyers, who continue to face affordability challenges, limited savings, and reduced opportunities for financial support in the form of lower mortgage rates. With affordability gauges near record lows, first-time homebuyers hold a mere 24% share of the market, down dramatically from the 40% share held in pre-Great Recession years. Rising prices and interest rates have compounded these barriers, leading to a market where nearly three-quarters of all buyers have no children under 18 at home, reflecting an older and more established buyer profile than in decades past. While this report offers a look back, the trends it captures underscore a potential turning point. Recent mortgage application data suggests that prospective buyers who had previously been priced out or sidelined may begin to re-enter the market as interest rates stabilize. If these sidelined buyers do return, particularly younger and more diverse demographics, the profile of the typical buyer could again start to shift, gradually increasing diversity in age, household composition, and race among homebuyers. At Havas Edge, we’re continually analyzing these demographic shifts to support brands in delivering timely, targeted strategies that meet the realities of today’s buyers and the anticipated resurgence of those who’ve been waiting on the sidelines. #RealEstate #Homebuyers #MarketTrends #HousingEconomics #ConsumerInsights

Demand Capture 101. This is actual data from a $60MM ARR SaaS company. Let’s break it down 👇   How a lead/account enters your pipeline is the biggest predictor of sales velocity metrics - win rates, sales cycle lengths, even ACVs.    Because how they enter your pipeline is a surrogate for buying intent & indicator of how far they are complete in the buying process.    Here’s how to measure it & use it to drive your revenue strategy:   1. Measure the Opportunity Source in Salesforce on the opportunity record.    Campaign Source = What campaign type did they convert on to move this opportunity into pipeline? (e.g. demo request, e-book download, cold call, trade show, etc.)   Source / Channel = What source or channel did they come from in order to convert? (e.g. LinkedIn ad, organic search, account intent data, ZoomInfo, etc.)    Using both of these data points combined will literally guide your strategy.    This shows you the optimal paths to *capture demand* and is easily measurable using software-based attribution.   2. Separate conversion sources between *Declared Intent* and *Low Intent*.    Declared Intent = The buyer declares intent to buy from you (e.g. Demo Request, Contact Sales) Low Intent = You assume the buyer has intent based on their digital behavior (e.g. ebook download, webinar attendee, trade show badge scan, intent data, etc.)    3. Calculate core sales analytics between the two sources.    Calculate conversion rates, lead-to-win rate, net new ARR, sales velocity, and more.    4. Visualize how much conversion intent matters to sales velocity and sales productivity.    149X higher lead-to-win rates for declared intent conversions   Declared intent = 26 “leads” to win 1 deal for $54k ARR Low Intent = 3,868 “leads” to win 1 deal for $130k ARR   18X greater sales velocity for declared intent conversions   Declared intent = $14.2MM annual sales velocity Low intent = $781k annual sales velocity 5. Recognize not all MQLs are created equal Measuring on MQLs incentivizes teams to get the most volume of MQLs for the lowest cost (low intent conversions), which is entirely misaligned with sales productivity and sales goals. Separate these into two Pipeline Sources (Declared Intent, Low Intent). Plan and build your goals for these two sources separately.   __   Now you know exactly HOW you want buyers to enter pipeline (capture demand) for maximum sales velocity & sales team efficiency. You also know exactly WHY buyers choose to take those paths to enter pipeline & WHAT triggers / channels / tactics move them to conversion. And with all of these insights, you can re-architect your strategy that optimizes for REVENUE. #revenue #sales #marketing #b2b #gtm p.s. Every SaaS company’s data looks like this, because it’s universal to how buyers buy. Most just don’t take the 3 hours of time to analyze their own data and see it for themselves.

While competitors sold mattresses at ₹10,000, we launched at ₹29,900. Amazon and Flipkart said it wouldn't work, because our price was 3X what sells on their platforms. Today, The Sleep Company is the fastest-growing mattress brand in India. People ask how we convinced customers to pay a premium for a mattress. The answer isn't about pricing. It's about understanding value. Indian customers are willing to pay ₹1 lakh for an iPhone, and ₹2 lakh for a Royal Enfield. It’s not because they're "affordable”, but because the value is clear. So, the real question isn't "Can they afford it?" It's "Do they believe it's worth it?" Most brands price like this:  Cost + Margin = Price But, we flipped it to Value-Based Pricing:  What's the transformation worth to the customer? = Price Our product wasn't just 3x the price, it also delivered 5x the outcome. And every touchpoint communicated that. But most of the brands end up making these mistakes: 📍Underpricing to "get traction"  📍Overpricing without differentiation  📍Changing prices too often Here’s what worked for us instead: 📌 The sweet spot wasn't the lowest. 📌 Focused on value perception - packaging, unboxing, communication reinforced "premium." 📌 Invested in experience - website, stores, after-sales. Premium pricing demands premium delivery. As a result: 📍₹60,000 became our best-selling price point 📍Customers didn't ask "Why is it so expensive?" They asked, "When's the next collection?" Premium isn't about charging more. It's about being worth more. And if you deliver on that, the market will pay.

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?