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Amazon's Profit Playbook We all love Amazon's deals, but how do they make money beyond discounts? 1. Matchmaker Fees: Amazon isn't a giant store - they connect brands with you, like a shopping mall. For each sale, they take a commission, fee for

Myntra's Profit Playbook Myntra isn't just a discount haven! They're a business mastermind with a sneaky way to turn a profit. wanna peek? 1. Commission Champs: Myntra doesn't own everything. They connect brands with you, like a shopping mall. Fo

Instagram Shops vs Facebook Marketplace: Where to Sell Your Jewelry? Selling jewelry online is competitive, and choosing the right platform can make a huge difference. Instagram Shops and Facebook Marketplace are two popular options, each catering t

🚀 Looking for a Developer Co-Founder! Hey everyone, I’m building a marketplace for buying & selling digital assets like apps, games, and websites—an untapped space in India with massive global potential. While platforms like Flippa exist, they hav

Launched in late 2024, Jarvis is that cool new kid on the block that's shaking up advertising for brands selling on Zepto. Imagine a tool so smart that it's already blasted out 15 billion ad impressions and has generated advertising revenue equivalen

A specialized e-commerce platform for plumbing and electrical products, connecting manufacturers, distributors, professionals (plumbers and electricians), and end customers. The platform will offer discounted products directly from manufacturers, byp

Reliance Communications: Advertising Strategy & Effectiveness 🚀 1. Core Strategy : -Mass Appeal : Focused on affordability + accessibility for all income groups. -Taglines That Stick : “Har Indian ka phone” → Emotional connection with the masses.

𝗜𝗻𝘁𝗲𝗿𝗻𝗮𝗹 𝗩𝘀 𝗲𝘅𝘁𝗲𝗿𝗻𝗮𝗹 𝗺𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴: ↳ Internal marketing engages employees by aligning them with the company's mission and culture. It includes employee training, internal communication, and rewards programs to motivate s

Hi Everyone! if is looking for project. Please DM me! Salary Depends on experience. What We're Looking For: • 5+ years of industry experience applying machine learning methods (user modeling, personalization, recommender systems, search, ranking, na