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?

Cleartrip won Contextual Marketing game! Other brands fighting for "End of Year" sales. #Cleartrip is selling us 2026. I saw this ad in The Economic Times today, It’s a masterclass in understanding customer psychology, at least how I see it. Here's why: - The Simplicity: Stripped away 320+ days of the year. By showing only the days that matter - the long weekends, they’ve reduced the cognitive load for a busy professional. - The Anticipation: Marketing isn’t always about immediate conversion. By helping people visualize their 2026, Cleartrip occupies mental real estate before the holiday planning even begins. - The Utility: Instead of a generic Book Now CTA, they provide a QR code to sync a Long Weekend Tracker on their calendars. It moves from being an "ad" to being a "tool" - The Timing: Published on a Saturday morning. This is exactly when their target audience is sipping coffee and dreaming of their next getaway. Cleartrip isn't selling tickets here; they’re selling ideas to take a break Don't just sell a product. Sell the solution to a problem your customer hasn't even started stressing about yet. What do you think? Does it attract you and make you think? #Marketing #Advertising #2026

I used to think charging less would get me more clients. After my trip to the US I realised it just made them trust me less. when i was cheap, clients questioned everything. "why this approach?" "can we try something else?" "i'm not sure about this." so when i raised my rates, they trusted my decisions completely. same work. different psychology. so here's what i've basically realized about pricing: when someone sees a low price, their brain doesn't think "great deal." it thinks "what's the catch?" they start looking for problems. inexperience. desperation. corners being cut. low prices trigger fear of loss, not excitement about savings. but when they see premium pricing, something else happens. "if they can charge this much, they must deliver results." "other people are paying this, so the value must be there." "the risk of not solving this problem costs way more than the investment." premium pricing signals confidence in your work. think about it. rolex doesn't make better watches from a functionality standpoint. but the price tells you everything about what owning one means. same thing with services. a premium project isn't necessarily 10x better in execution. but the price signals experience, systems, proven results. and here's the shift that changed everything for me: i stopped anchoring clients to the price and started anchoring them to the outcome. not "this costs X" but "this will generate Y for your business, and the investment is X." when they're thinking about ROI, the price becomes secondary. your pricing isn't just a number. it's a signal to the market about who you are and what you deliver.

Lenskart recently got sued by Titan for something most marketers don’t even think twice about. Using a competitor’s brand name in hidden meta tags to steal search traffic. Yes, it was in the backend code. Yes, it worked. But it was also illegal. So when someone searches for your brand, your competitor might show up and get clicks instead, taking away the traffic. Under Section 29 of the Indian Trade Marks Act, this counts as trademark infringement. Lenskart admitted it, removed the tags, and got a legal warning. After spending 7+ years in digital marketing, I’ve seen this playbook being used across platforms- Meta Ads, YouTube tags, Google SEO… you name it. I’ve even seen agency briefs that suggest this as a "hack" to beat the competition. But let’s be clear: This isn’t smart marketing. This is legal risk. 👉 Don’t ride on another brand’s visibility. 👉 Don’t sneak their name in tags. 👉 Don’t let short-term traffic cost you long-term credibility. It’s high time marketers start focusing upon fair ways of managing business, because shortcuts like these might take you straight to COURT this time. What are your opinions on this lemme know… #digitalmarketing #lenskart #seo

𝟭𝟬 𝗥𝘂𝗹𝗲𝘀 𝗳𝗼𝗿 𝗛𝗶𝗴𝗵-𝗖𝗼𝗻𝘃𝗲𝗿𝘁𝗶𝗻𝗴 𝗪𝗲𝗯𝘀𝗶𝘁𝗲𝘀 🔥 Most product sites don’t convert. Here’s how to fix it: 𝟭/ 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱 𝘆𝗼𝘂𝗿 𝗯𝘂𝘆𝗲𝗿 Before designing, talk to real users. Figure out what they want, what stops them, and what triggers action. → Talk to 5 signups: “What made you try it?” → Exit survey: “What’s stopping you?” → Watch session recordings → Skim support chats → Bonus: Buy someone coffee for quick feedback ✅ Example: Users say: “I just want to send invoices and get paid.” → Don’t write: “Smart billing software” → Say: “Send your next invoice in under 60 seconds.” 𝟮/ 𝗡𝗮𝗶𝗹 𝘆𝗼𝘂𝗿 𝗵𝗼𝗺𝗲𝗽𝗮𝗴𝗲 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 Your layout needs: → Headline: pain point → Subheadline: curiosity → CTA: single action → Visual: product in action → Body: benefits > features ✅ Example: → “Hiring is broken.” → “Our AI recruiter finds top 3 candidates in 24h.” → “Try it free” → Demo video → “Save 10+ hours/week on screening” 𝟯/ 𝗠𝗮𝗸𝗲 𝘃𝗮𝗹𝘂𝗲 𝗰𝗹𝗲𝗮𝗿 𝗮𝗯𝗼𝘃𝗲 𝘁𝗵𝗲 𝗳𝗼𝗹𝗱 Most people won’t scroll. → What is this? → Who’s it for? → Why does it matter? → What should I do next? ✅ Example: → Don’t say: “AI-powered web builder” → Say: “Launch your landing page in 60 seconds” 𝟰/ 𝗙𝗼𝗰𝘂𝘀 𝗼𝗻 𝗼𝘂𝘁𝗰𝗼𝗺𝗲𝘀, 𝗻𝗼𝘁 𝗳𝗲𝗮𝘁𝘂𝗿𝗲𝘀 People don’t want “real-time sync.” They want fewer meetings, faster work. ✅ Example: → Don't say: “Real-time collaboration” → Say: “No more back-and-forth emails. Edit together live.” 𝟱/ 𝗔𝗱𝗱 𝗽𝗿𝗼𝗼𝗳, 𝗲𝗮𝗿𝗹𝘆 Trust builds conversion. → Logos → Quotes → Counters → Screenshots → Case studies ✅ Example: → “Trusted by 4,000+ teams at Meta, Notion, and Vercel” 𝟲/ 𝗥𝗲𝗺𝗼𝘃𝗲 𝗱𝗶𝘀𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻𝘀 Stick to one goal and cut everything else. → No blog links → No footer clutter → No secondary CTAs ✅ Example: If your goal is “Try for free,” everything should lead there. 𝟳/ 𝗨𝘀𝗲 𝗯𝗲𝘁𝘁𝗲𝗿 𝗖𝗧𝗔 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲 Avoid vague buttons. Make CTAs feel easy + specific. ✅ Example: → Don't say: “Start now” → Say: “Try for free” 𝟴/ 𝗗𝗲𝘀𝗶𝗴𝗻 𝗺𝗼𝗯𝗶𝗹𝗲-𝗳𝗶𝗿𝘀𝘁 60%+ of traffic is mobile. If it’s clunky, it’s broken. → Large tap targets → Sticky CTAs → Short scroll → Preview breakpoints ✅ Example: → Desktop: CTA beside video → Mobile: CTA pinned bottom → Preview with Lovable 𝟵/ 𝗧𝗲𝘀𝘁 𝗺𝗼𝗿𝗲 𝘁𝗵𝗮𝗻 𝘆𝗼𝘂 𝘄𝗮𝗻𝘁 𝘁𝗼 One version is only one guess. ✅ Example: → “The fastest invoicing tool for freelancers” vs. → “Send your next invoice in under 60 seconds” → Ship both with Lovable 𝟭𝟬/ 𝗗𝗼𝗻’𝘁 𝘀𝘁𝗼𝗽 𝗮𝘁 𝘁𝗵𝗲 𝗖𝗧𝗔 Conversion isn’t the goal. The activation flow right after is. → Pre-fill content → Show a 60s walkthrough → Highlight one key action ✅ Example: User signs up → edits sample invoice → sends in 1 click LFG

We analyzed 4 million recruiting emails sent through Gem. Most get opened. But only 22.6% get replies. Half those replies are "thanks, but no thanks." We dug into what actually works. Here are 8 factors that drive REAL responses: 1. Strategic timing beats everything else - 8am gets 68% open rates. 4pm hits 67.3%. 10am lands at 67% - Most recruiters blast at 9am when inboxes are flooded - Avoiding peak times alone can boost your opens by 7-10% 2. Weekend outreach is criminally underused - Saturday/Sunday emails get ≥66% open rates consistently - Why? Empty inboxes. Zero competition. Candidates actually have time - Yet few recruiters send on weekends. Their loss is your gain 3. Keep messages between 101-150 words - Shorter feels spammy. Longer gets skimmed - You need exactly 10 sentences to nail the essentials - Every word beyond 150 drops performance 4. Generic templates kill response rates - Generic templates: 22% reply rate - Personalized outreach: 47% increased response rate - Even adding name + company to subject lines boosts opens by 5% 5. Subject lines need 3-9 words - Include company name + job title for highest opens - "Senior Engineer Role at [Company]" beats clever wordplay - 11+ words can work if genuinely intriguing, but why risk it? 6. The 4-stage sequence is optimal - One-off emails are dead. Send exactly 4 follow-up messages - You'll see 68% higher "interested" rates with proper sequencing - After stage 4, engagement completely flatlines. Stop there 7. Get the hiring manager involved - Having the hiring manager send ONE follow-up boosts reply rates by 50%+ - Yet most recruiters don't use this tactic - Weekend advantage: Minimal competition for attention 8. Leadership involvement is a cheat code - Role-specific timing (tech vs non-tech) matters - Technical roles: 3 of 4 best send times are weekends - Engineers check email differently than salespeople. Adjust accordingly TAKEAWAY: These aren't opinions. This is what 4 million emails tell us. Most recruiting teams are stuck in 2019 playbooks wondering why their reply rates won't budge. Meanwhile, recruiters who implement these 8 factors see dramatically better results. The data is right there. The patterns are clear. The only question is: will you actually change how you operate? Or will you keep sending the same tired emails at 9am on Tuesday? Your call.

Six weeks ago, I went underground. Not off the grid. Just deep into the private Discord servers where sneakerheads spot fakes before they hit the market. The Slack channels where CMOs trade budget hacks they’d never tweet. The WhatsApp threads where collectors swap intel like it’s insider trading. I was lurking. Reverse-engineering how trust gets built in dark social. It seems like increasingly, we're seeing public feeds are for performance. And private chats are for proof. Back in 2010, Bitly found 69% of social shares happened in DMs and emails. Today, it’s closer to 90%. These spaces aren't controlled by algorithms, they're ruled by humans. Want in? Here’s how AI can help you: 1. Find the watering holes without wasting 100 hours: Tools like SparkToro reveal where your audience actually talks and track how those spaces shift over time. 2. Decode the language in minutes, not months: Drop top conversations into Microsoft Copilot or Google Gemini and ask: “What slang, inside jokes, or recurring complaints stand out here?” A skincare brand did this and found its audience was skeptical of clinical claims—so they pivoted to raw, unfiltered before-and-afters. 3. Pre-test content before you post: Use Perplexity to analyze which links get shared most in those communities. Run your hooks through ChatGPT and ask: “Would this grab attention in a thread full of X jargon?” Last month, a supplement brand nailed this. They scanned 500-plus Reddit, Inc. threads on workout fatigue, discovered that everyone hated the term biohacking, and switched their messaging to old-school muscle science. Engagement tripled. Your move this week: 1) Pick one niche community, whether it’s Discord, Slack, or a tight-knit Substack. 2) Use AI to extract three insider phrases and identify one unaddressed gripe. 3) Draft content that speaks their language, not yours. High impact means going beyond being data-driven to being community-fluent. And fluency starts with listening smarter. AI can help. #hicm #DarkSocial #SocialListening #AI

Netflix Is Going Physical — And It Might Just Rewrite the Experiential Playbook At Cannes Lions, Netflix unveiled more details about its boldest move yet in fan engagement: Netflix House — permanent, immersive venues launching this fall in Philadelphia and Dallas. Think “Stranger Things” escape games, “Squid Game” obstacle courses, “Wednesday” carnivals, mini-golf through your favorite titles, themed cocktails, exclusive merch, and yes — a TUDUM Theater to host fan events and screenings. But this isn’t just a cool activation. It’s a strategic pivot that’s worth unpacking: ✅ Strategic Intent: Netflix isn’t trying to build a theme park empire. This is about deepening emotional ties with fans, amplifying buzz, and future-proofing its brand beyond the streaming wars. These venues aren’t just fun — they’re fan conversion engines. ✅ A New Content Loop: Every attraction is designed to be shared — built for UGC, influencer walkthroughs, cosplay, TikToks, and viral moments. Fans become marketers. Data becomes feedback for future IP development. The venue becomes a living R&D lab. ✅ Not Just Eyeballs — Wallets: With exclusive merch, themed dining, and potential collabs (think Netflix x Funko or Netflix Bites F&B), the monetization flywheel is in motion. Even modest visitor volume could generate $25–30M/year per location — and that’s before you count the uplift in brand love or viewership. ✅ Global Signals: This could be the first step toward regional pop-ups, international localization (imagine a “Lupin” heist experience in Paris or “Money Heist” in Madrid), and even a Netflix-con-branded event model. It’s fandom scaled offline. 💡 Big Picture? Netflix is building something Disney mastered decades ago — real-world storytelling at scale. And if this works, it unlocks a new dimension: streaming IP that lives, breathes, and sells in the physical world. 📊 Our modeled impact: ⌙ ~1M visitors in Year 1 ⌙ 100M+ earned impressions ⌙ 10–15% churn reduction among local superfans ⌙ $5–10 lift in ARPU among engaged segments ⌙ Payback in ~3–5 years — with marketing ROI baked in 🎯 This isn’t about “content” anymore. It’s about building culture. Kudos to Marian, Greg, Josh, Mitzi, Emily, Nidia, Lauren, Jessica, Nikki and team. #Netflix #Cannes #Media #Licensing #ConsumerProduct

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?