Personalization Trends and Innovations

For years, true personalization in ecommerce felt out of reach, too complex, too reliant on massive data infrastructure But in 2025, it’s not just possible, it’s expected * Customer Data Platforms (CDPs) can now unify behavioral, transactional, and anonymous data to recognize visitors in real-time and dynamically segment audiences. * Generative AI builds on that foundation, automating hyper-personalized product recommendations, emails, and even entire storefronts tailored to browsing habits, purchase history, and preferences * Today’s ecommerce personalization means: individualized landing pages, AI chat that understands customer intent, and product suggestions that evolve with each click Brands are no longer optimizing for demographics, they’re creating a “segment of one” The results? Higher conversion rates, deeper customer retention, and a distinct competitive advantage But unlocking this requires more than tech; it demands a strategic approach to data, tools, and team readiness Are you leveraging personalization as a growth engine? 

Exciting breakthrough in LLM personalization! Google DeepMind researchers have introduced ComMer, a revolutionary framework that efficiently personalizes Large Language Models through document compression and merging. >> Key Innovation ComMer tackles a critical challenge in LLM adaptation by introducing a novel approach that compresses users' documents into compact representations before merging them for model input. This solves the traditional limitations of prompt engineering and fine-tuning approaches. >> Technical Architecture The framework operates in three sophisticated stages: - A compression phase using a frozen LLM with trainable compression embeddings and LoRA weights - A merging phase that aggregates document representations through mean pooling - A response generation phase utilizing a frozen LLM >> Under the Hood The system employs BM25 retrieval for document processing and uses a sophisticated LoRA configuration with rank 64 and alpha 16. The optimization leverages a cosine learning rate scheduler with 3% warm-up steps, using differentiated learning rates: 1e-4 for LoRA weights and 1e-2 for compression embeddings. >> Performance Highlights ComMer shows remarkable results in personalized skill learning tasks while maintaining computational efficiency. The framework particularly excels in constrained inference budget scenarios, making it ideal for high-throughput applications. >> Industry Impact This advancement represents a significant step forward in making personalized LLMs more accessible and computationally efficient, potentially revolutionizing how we approach user-specific AI applications.

Indian consumers don’t just want products, they want products made for them. I’ve been watching this shift happen lately. A few years ago, convenience was the biggest driver of purchase decisions. Today, it’s personalisation. We’re no longer satisfied with one-size-fits-all. We want eyewear that fits our face perfectly, beauty products curated for our skin, and fashion that carries our identity. And brands that understand this? They’re winning. + Lenskart.com isn’t just selling glasses, it’s using AI to suggest frames, offering virtual try-ons, and customising lenses to fit individual needs. + Tira isn’t just another beauty retailer, it’s helping consumers build personalised beauty profiles, recommending products tailored to their skin type, preferences, and routines. + Similarly, Titan Eyeplus is offering virtual try-ons that make buying eyewear feel effortless and personal. + Even Zara, known for fast fashion is leaning into personalisation, allowing customers to add embroidery, embossing, and printed text to select pieces. Personalisation isn’t a trend anymore. It’s the new expectation. The numbers prove it. According to McKinsey & Company’s Next in Personalization Report, 71% of consumers now expect brands to deliver personalised interactions. Furthermore, companies that grow faster generate 40% more of their revenue from personalisation than slower-growing counterparts. Consumers today want to feel seen. They want brands to recognise their individuality, their choices, and their needs. And the businesses that offer that will be the ones that thrive. What’s one personalised experience that has changed how you shop? #personalisation #retailtrends #consumerfirst

✨ Contextual Intelligence: The Next Frontier for AI Agents? ⬇️ I've been diving into some research on AI-driven personalization and came across a trend that many businesses are overlooking. The next frontier in creating standout experiences is all about contextual intelligence, understanding a client's real-time surroundings, history, and needs to deliver interactions that feel genuinely tailored to them. Personalization is no longer a luxury; it's an expectation. According to McKinsey, 76% of consumers feel disappointed when companies don't offer personalized experiences. Salesforce research shows that 62% of consumers might switch brands if they don't get it. But here's the catch: traditional personalization, like addressing someone by name or referencing their purchase history, just doesn't cut it anymore. Going Beyond the Basics: Why Context Matters Classic personalization leans heavily on historical data, like what users have browsed or bought. While useful, this only tells you who the customer was, not what they need now. Contextual intelligence changes the game by adding real-time factors: • Time of day • User's location • Persona • Targeted Voice • Current activity • Memory of previous interactions... By incorporating these insights, AI can make real-time adjustments that feel immediate, relevant, and personal. Why Context is Critical for Growth Adopting contextual intelligence isn't just about keeping up, it's about staying ahead. While many companies are still stuck in basic personalization, forward-thinking firms are creating experiences that make customers feel truly seen. There's also a huge privacy advantage. Contextual intelligence doesn't rely on invasive personal data. Instead, it uses anonymous signals like time, location, or device type, allowing businesses to stay compliant with privacy laws while still delivering relevance. And let's not forget the "wow" factor. When apps or websites effortlessly adapt to a user's immediate needs, it creates a sense of delight that builds deep loyalty. The future belongs to bespoke experiences that go beyond preferences and master the art of context.

When we talk about personalisation today, too often the goal is simple: sell more products, faster. But in the age of AI, we have an opportunity to do so much more. Personalisation shouldn’t just be about conversion rates—it should be about creating real value in people’s lives. That’s why I see personalisation as a journey, with four steps: 1️⃣ Identity-Based Personalisation The basics: you know my name, my address, my past purchases. This is the foundation—but it’s transactional. 2️⃣ Contextual Personalisation You understand the context I’m in. For example: a travel site suggesting hotels close to the conference venue I’m attending, not just “popular hotels.” 3️⃣ Interactive Personalisation Here, it becomes a two-way street. Think of Spotify playlists adapting as you skip songs, or Nike letting you co-create your sneakers. The customer actively shapes the experience. 4️⃣ Self-Learning Personalisation This is where the magic happens. The system learns, adapts, and becomes truly valuable—almost like a personal coach. Imagine a health app that not only tracks your workouts but gradually learns what motivates you, gives you the right nudge at the right time, and helps you become a healthier version of yourself. The ultimate goal? Not “selling more stuff,” but helping people live better lives. That’s the future of hyper-personalisation. Not just commercial, but meaningful.

The landscape of digital marketing is rapidly changing, with 2025 poised to be a significant year. Staying ahead means not just keeping up with trends but anticipating them and adapting your strategies. Over a decade of experience navigating the intricacies of this industry has taught me one thing: brands that innovate, embrace change, and keep their audience at the center of it all thrive. Trends in digital marketing for 2025 👇 👉 AI-Driven Personalization AI isn’t just a buzzword anymore—it’s the foundation of hyper-personalized experiences. From dynamic email content to tailored ad campaigns, leveraging AI tools will be the key to creating deeper customer connections. 👉 Voice Search Optimization With the continued rise of smart assistants, voice search is becoming integral to how people find information. Optimizing for natural language queries and local intent will separate the good marketers from the great ones. 👉 Interactive & Immersive Content Think AR filters, VR experiences, and shoppable live streams. Consumers crave interactivity, and brands that offer immersive experiences will build stronger engagement and loyalty. 👉 Sustainability Messaging Gen Z and Millennials demand transparency and purpose from brands. Marketing campaigns emphasizing sustainable practices and ethical choices will resonate deeply. 👉 Creator-Led Campaigns The creator economy isn’t slowing down. Brands that partner with micro and nano-influencers will see more authentic engagement and higher ROI than traditional ads. 👉 Zero-Party Data Strategies As privacy regulations tighten, collecting zero-party data directly from customers through interactive polls, surveys, and quizzes will be critical for building trust and personalizing marketing. 👉 The Rise of Niche Communities Large platforms are fragmenting into niche communities. From Reddit forums to private Discord servers, marketers must learn to engage in these micro-ecosystems authentically. 👉 Programmatic Advertising Evolution Automation in ad buying is getting smarter. With AI-enhanced programmatic platforms, advertisers can optimize campaigns in real-time, ensuring higher precision and better ROI. 👉 Social Commerce Boom Platforms such as TikTok, Instagram, and Pinterest are intensifying their e-commerce features, leading to a blurring of the boundaries between social media and shopping. Shoppable posts and live shopping will become even more impactful. 👉 Video SEO & Searchable Video Content As search engines get better at indexing video content, optimizing video for search (keywords, transcripts, thumbnails) will become a game-changer for discoverability. 2025 is the year of smarter, more human-centric marketing. Success lies in staying agile, embracing innovation, and keeping the customer at the heart of everything you do. Which of these trends do you think will have the biggest impact? Follow #socialJJ for more marketing posts. #digitalmarketing

Customer needs are evolving and they need more personal attention. How to scale personal attention? AI is the solution for brands to start offering personalization at scale. AI solutions are transforming how businesses engage with customers, making experiences more tailored, efficient, and impactful. Here’s a quick AI Personalization Checklist to ensure your strategy hits the mark: ↳ Understand Your Audience: • Analyze customer data for preferences, behavior, and trends. • Identify key segments and personas to tailor experiences effectively. ↳Use Data Wisely: • Leverage historical and real-time data for dynamic personalization. • Ensure data privacy and compliance with regulations like GDPR/CCPA. ↳Deliver Relevant Recommendations: • Implement AI to suggest products, services, or content based on individual needs. • Personalize marketing campaigns with customer-specific offers and messaging. ↳Optimize User Journeys: • Use AI to predict and address pain points in the customer journey. • Provide seamless multi-channel experiences across web, app, and support. ↳Continuously Adapt: • Monitor AI model performance and retrain as customer behaviors evolve. • Incorporate customer feedback for improved personalization. ↳Delight with Details: • Offer subtle yet impactful touches like dynamic visuals (e.g., Netflix thumbnails). • Ensure AI-driven solutions feel intuitive and human-centric. ↳Measure Success: • Track KPIs like engagement rates, conversion rates, and customer retention. • Use insights to refine and iterate your personalization strategies. Bonus: Check the popular use cases from the 8 product leaders in the deck below. 👇 Follow Lokesh Gupta and ProductHood School for more such resources. PS - Want to become better at building products. Join our membership.

2025 is the year of immersive experiences and hyper-personalized solutions. As the digital realm accelerates, UXers are entering new frontiers that merge cutting-edge technology with user-centric thinking. 5 trends I see shaping the design landscape: 1. AI-Driven Personalization The bar for tailored experiences has never been higher. AI-driven algorithms now learn from micro-interactions and deliver dynamic interfaces that adapt to user behavior in real time. The result? Seamless, “just-for-me” digital journeys. 2. Extended Reality (XR) Experiences Virtual Reality (VR) and Augmented Reality (AR) have matured beyond games. From remote collaboration to immersive e-commerce, XR blurs the boundaries between the physical and digital worlds, demanding designers rethink spatial navigation and 3D interaction. 3. Neuro & Biosensory Design Eye-tracking, EEG technology, and wearable sensors offer insight into user emotions and cognitive load. Designers can now adjust interfaces to match the user’s emotional state – making empathetic, “feeling-first” design a reality. 4. Voice & Zero-UI Interfaces The “invisible interface” is here. Voice assistants and gesture-based controls are gaining traction. By integrating conversation design and multimodal feedback, brands can deliver frictionless user flows. Fewer clicks, fewer screens. 5. Ethical & Sustainable Design Users expect experiences that respect privacy, champion accessibility, and reduce carbon footprint. Brands that Incorporate inclusive design principles and responsible data handling have the edge in building long-term trust and loyalty. The UX field is ready for an extraordinary evolution this year ruled by three key themes: 1. Innovation 2. Responsibility 3. Empathy What trends do you think will define UX in 2025 and beyond? Drop your insights in the comments! #UXDesign #EmergingTrends #DesignLeadership

💄 💫 The Future of Beauty is Closer Than You Think… Are You Ready? Imagine this: A selfie not only reveals your skin’s current state but recommends the perfect products tailored just for you. Sounds futuristic? It’s not. It’s happening right now. AI and tech are shaking up the beauty industry in ways we’ve never seen before. But here’s the real question for brands: How do you harness these innovations while staying true to your story? Here’s a peek at what’s changing: 🤖AI-Powered Personalization Take a selfie, and apps like Skin Genius analyze your skin and deliver product recommendations in seconds. Personalization is no longer a luxury—it’s the expectation. 🧪 Ingredient Discovery AI is uncovering ingredients faster than ever. Remember Bakuchiol, the plant-based retinol? AI helped bring it to light. What’s the next big thing? The answer might already be in the data.   💫 Smarter Formulations 3D bioprinting is fine-tuning ingredient stability and replacing animal testing. The result? Safer, more effective, and sustainable beauty products. 📲 Virtual Consultations No store visits needed— AI tools like L’Oreal’s Skin Genius diagnose skin concerns and recommend routines from the comfort of home. What’s Next? Deep DNA-based skincare. Smart devices adjusting to your skin in real time. Faster innovation fueled by big data. 🤓 So here’s the key question for brand owners to answer - How do we build brands that balance cutting-edge technology with emotional connection? The tech is exciting, but consumers still want to feel something—whether it’s trust in sustainable practices, the joy of hyper-personalization, or the pride of using something innovative. 💬 What innovation excites you the most, and how do you see it transforming the future of beauty? Let’s discuss—because the future isn’t just about innovation; it’s STILL about connection.

🚀 New Article: Personalization at Scale – How AI is Enabling Mass Customization From AIBO at Sony to healthcare startups like Diabilive and e-commerce platforms like Maxicoffee, I’ve seen how AI can create hyper-personalized experiences across industries. In my latest article—the fifth in my series on AI-driven product innovation—I explore how companies can now deliver tailored experiences to millions, in real time. 🔍 I dive into AI recommendation engines, smart automotive environments, and individualized healthcare, while also addressing the ethical dimensions that must guide this personalization revolution. 📖 Read the article below and join the conversation 👇 #AI #Personalization #MassCustomization #DigitalInnovation #CustomerExperience #EthicalAI #ProductDevelopment #Leadership