UX Design For Streaming Services

📺 Retention Zone Ep. 66 with Frank van Oirschot 🎙️ (Ex Machina Group Livery Video) about a critical challenge facing streaming platforms today: how to transform engagement into lasting retention. Frank brings decades of experience developing engagement technologies since the mid-90s and offers fascinating data-backed insights on what actually works: 💡 When fans engaged with second-screen applications for shows like "The Voice," they became measurably more loyal subscribers 💡 A single missed notification in a game show led to not only immediate drop-off but reduced likelihood of viewers returning for future episodes 💡 Sports content engagement is happening everywhere EXCEPT on rights holders' platforms - a massive missed opportunity One statistic that particularly stood out: Gen Z viewers are juggling SEVEN different activities simultaneously while consuming content. This isn't just a challenge - it's an opportunity for platforms that understand how to harness attention in this fragmented landscape. Frank offers innovative solutions through: 1️⃣ Alternative content versions with specialized commentary 2️⃣ AI-powered personalization using video language models 3️⃣ Less controlling approaches that enable creator-driven engagement The most exciting opportunity? How these engagement touchpoints generate rich data that, when processed through AI, transforms retention strategy from reactive to predictive. This isn't just about keeping subscribers - it's about creating deeper, more valuable relationships with your audience. ➡️ Read the full article below. Retention Zone is presented by Cleeng Hosted and produced by Carlo De Marchis: A guy with a scarf Gilles Domartini Benedicte Guichard Alexis Gaï Kirstin White Hjalmar Koedijker Alex Regan Joachim Bergman Kamila Palka Simo Enzo Bermond Kübra Güven #MediaRetention #StreamingStrategy #EngagementMetrics #AIinMedia #Retention #Churn

Most companies try to scale by sprinting after new buyers and wonder why their churn spikes. I give them the Sustainable Growth Framework instead. Three focus areas. Total alignment. Real momentum. After helping subscription businesses grow and retain their members, I’ve learned this: scaling isn’t about speed. It’s about direction. Here’s the framework that keeps your growth steady and your subscribers loyal. 1. Relationships over transactions Don’t chase one-time buyers. Build long-term trust. When you focus on relationships, you create members who stay not because they have to, but because they want to. 💡 Example: If you’re a fitness app, build habits with your members. Send progress updates, celebrate milestones, and personalize recommendations. Growth happens when people feel seen, not sold to. 2. Freedom over friction Don’t lock people in. Make it easy to leave or stay by choice. Subscribers value autonomy. When you respect that, they reward you with loyalty. 💡 Example: If you’re a streaming service, a clear cancel button and transparent pricing signal confidence. The trust you gain outweighs the short-term retention dip. Ease builds credibility. Credibility builds staying power. 3. Outcomes over offerings Don’t pile on features. Deliver results that matter. Your best subscribers don’t want more. They want better. Example: 💡 If you’re a learning platform, don’t add hundreds of new courses. Focus on completion rates, results, and community feedback. Outcomes drive word of mouth far more than volume ever will. The magic? Only you know who your best subscribers are. Serve them well, and growth follows naturally. Because in subscription businesses, scale isn’t about adding more. It’s about deepening what works. +++++++++++ 👋 I'm Robbie, I'm a consultant, author, and speaker covering all things subscription businesses. +++++++++++ 🛎 Tap the bell under the banner on my profile to catch the next post. ++++++++++++

Netflix knows you're about to cancel your subscription before you do. Because churn rarely happens overnight. It happens in patterns. You watched 15 hours last week. This week, only 4. You used to open the app daily. Now it's once every few days. You started shows but stopped finishing them. Your "Continue Watching" row keeps getting longer. Most companies see customers. The best companies see behaviors. And that's what makes CRM so fascinating. Think about the different users Netflix serves at the same time: • A new subscriber exploring the platform • A binge watcher consuming content every day • A casual user who watches only on weekends • A customer whose watch time has suddenly dropped • Someone who hasn't opened the app in two weeks Sending the same communication to all of them would be a retention disaster. Instead, each segment needs a different trigger. A recommendation for the active user. A personalized reminder for the casual viewer. A re-engagement nudge for the inactive customer. The smartest growth teams don't ask: "What campaign should we send?" They ask: "What behavior are we seeing, and what action should we trigger next?" Because the message isn't the strategy. The segment is. In a world where acquiring customers gets more expensive every year, the brands that win won't necessarily have the biggest marketing budgets. They'll be the ones that understand customer behavior better than everyone else. That's the real power of CRM, understanding people better. What's one brand that makes you feel it understands your behavior as a customer? #marketingstories #marketing #crm #marketingmanager #brandmanagement #retention #netflix #CRM #ABCD

Sometimes, you just gotta rip the bandaid off and start from scratch. Back in summer 2011, I was Head of Mobile at Netflix. As the PM, all phone and tablet apps were my purview, and usage was skyrocketing across dozens of UIs from Apple to Android, mini phones to phablets, iPads to tablets, etc. But, the app I inherited was just the existing desktop app (w/ white bkgd below) riddled with 100s of bugs and feature requests for those multitude of UIs. No easy swiping of titles, horizontally or vertically. Browsing was beyond challenging on any touch interface. I made the unpopular decision to halt all work on the old app and built an all-new universal app for all interfaces with our small eng team. My team invented the “Continue Watching” row, which all streaming apps later copied, and focused on creating a beautiful browsing experience, getting users into content as fast as possible. The more streaming a user did, the higher likelihood they would retain as a member = both were/are key metrics to optimize for all Netflix PMs. In our A/B test, we put ~200k users in the old app and ~200k in the new app. Usually it would take a few months to see statistical significance. In only a few weeks, we saw a massive jump in both metrics (streaming hours and retention) and turned it on for ALL members THIS week 14 years ago, a few days before millions of iPads, tablets, and phones were gifted and activated nationwide, many of which came with Netflix pre-installed. Summary: there are multiple ways to move the needle on a product, and one of those is to simply start from scratch, take the interim pain of unhappy users on an old app, and give the world what it truly wants. Happy holidays! 🎄

👉 The Affordability Crisis Just Rendered Your Loyalty Program Obsolete. With inflation and economic uncertainty, customers are becoming ruthlessly price-sensitive. If your retention strategy still relies on generic, high-cost discount programs ("Spend $100, get $5 in points"), you are training your users to love the discount, not the brand. This transactional relationship is a financial drain and will fail under pressure. The old model of simply outspending the competition on Customer Acquisition Cost (CAC) is dead. The only way to achieve sustainable, crisis-proof growth is through an aggressive, strategic pivot to efficient retention. The Solution: AI-Powered Customer Loyalty As an expert of scaling companies like Roku and IMVU, I believe the current economic environment demands a shift from reactive loyalty to proactive, predictive retention using Lean AI. We must stop rewarding customers who would have purchased anyway and focus resources on those at risk. The AI Advantage is Clear: - Prediction over Points: Machine learning models calculate a real-time Propensity-to-Churn Score for every user. - Hyper-Personalized Value: When a user crosses the churn threshold, AI triggers a customized value proposition (e.g., exclusive access, premium service, or a targeted cash-equivalent reward)—maximizing LTV while minimizing the Cost of Retention. This approach transforms a lost customer into a highly profitable, re-engaged super-fan. A Roadmap for Growth Leaders: Four Pillars of AI Retention In my new article, I outline the non-negotiable strategy for building this efficient retention engine: 1. Build a Unified Customer Data Platform (CDP): AI is only as good as the clean, 360-degree data fueling it. 2. Product-Led Retention: Use AI to accelerate the "Aha!" moment during onboarding. 3. Continuous Automation: Automate experimentation to find the optimal reward, incentive, and timing. 4. Prioritize Exclusive Access: Build an emotional moat through community and VIP experiences, not just just price cuts. The companies that survive and dominate the next decade are the ones that strategically deploy AI to build unshakeable, hyper-personalized relationships. Read the full analysis and technical roadmap here: 👇

🎯 The New Battleground for OTTs: AI-Led Content Discovery is the Differentiator By Vishal Arya | Architecting the Future of AI & Entertainment In a world where content is abundant, but attention is limited, the greatest challenge for Over-the-Top (OTT) platforms is not streaming; it’s ensuring the right stories are surfaced at just the right moment. Whether managing 10,000 titles or a million, the harsh reality remains: your best content remains unseen until it is discovered. Welcome to the age where discovery isn’t a UX feature—it’s an AI product. Here's how next-gen tech is rewriting the playbook: 🔍 1. AI-Generated Metadata: The New Fuel for Discovery Engines Forget static tags. Today’s LLMs extract sentiment, tone, narrative arcs, and character dynamics—transforming raw content into rich, machine-readable signals. 💡 Real-World Impact: A short-video platform used GenAI to auto-suggest titles and summaries. When creators adopted these, CTRs jumped 7.1%, while average watch time rose 4.1%. Metadata isn’t just a label—it’s a conversion driver. 🤖 2. Multimodal Recommendation Systems: Beyond Clicks & Views Modern recommendation engines blend text + vision + audio embeddings to capture a user’s content preferences more holistically. 🎥 Think: Transformers that understand mood, tone, setting—not just genre or actor. 🔐 3. Cross-Platform Behavioral Modelling: Breaking the App Silo In super-aggregated OTT ecosystems, federated learning is the secret sauce. It enables shared personalisation across apps—without sharing user data. 🎞 4. AI-Driven Media Optimization: From Upload to Upsell Predictive AI now scores content for genre affinity, retention risk, watchability, and trend fit. 🧠 Platforms are using this to auto-select thumbnails, assign content badges (“must-watch,” “comfort content”), and even sequence UI placement dynamically. 🔥 Result: One global streamer saw 35% higher engagement and 22% better retention with predictive content scoring + automated UI asset testing. 🕹 5. Gamified & Mood-Based Discovery: Swipes. Quizzes. Emotions. Next-gen OTT UX is borrowing from gaming and social. AI-powered interfaces respond to real-time behavior with interactive cards, quizzes, mood filters, and emotion-based content sorting. 🎮 Edutainment Win: Platforms with gamified discovery saw 18% longer sessions, better content depth exploration, and higher rewatch ratios. 🧠 Final Word from the C-Suite: The content itself isn’t king anymore. Discovery is. In an AI-first world, attention is earned by platforms that understand behavior, context, and emotion in real time. At the heart of the next OTT revolution is a new stack: agentic AI, dynamic metadata, real-time UX, and semantic intelligence. If you're still relying on legacy recommender engines, you’re already behind. The winners are turning their discovery engines into intelligent, evolving ecosystems.

🎁 Disney+ and Hulu Just Raised the Bar on Subscriber Engagement: With churn pressure growing and subscriber attention harder to hold, Disney is making a strategic move: perks as a retention and engagement lever. The newly launched “Always-On” Perks program offers Disney+ and Hulu subscribers rotating benefits—think discounts with DoorDash, adidas, and Duolingo; sweepstakes for Lollapalooza and Comic-Con; and early access to Disney exclusives. ✅ Real-world value beyond content ✅ Cross-platform bundling incentives ✅ Rotating perks that drive repeat platform visits This isn’t just a loyalty program—it’s a rethinking of how to embed a subscription brand into a subscriber’s everyday life. 👀 Smart move? We think so. Our full breakdown explores how this approach could signal the next wave of retention strategy for high-volume streamers and beyond. 📌 Read more here: https://lnkd.in/eGbjhTcs #SubscriptionStrategy #Streaming #Retention #DisneyPlus #Hulu #SubscriberEngagement #RecurringRevenue #SubscriptionEconomy #SubscriptionInsider

What Netflix can teach you about client retention Netflix knows you're about to cancel before you do. They track everything: When you pause mid-episode, how long between logins, and what genres you skip. The moment your engagement drops, they send you that perfectly timed email with "shows you might like." Result? They retain most of the subscribers year over year. Now compare that to how most valuation professionals handle client relationships: → Radio silence between project deliveries  → No idea if clients are satisfied until they ghost you  → Finding out about problems when it's too late to fix them  → Losing clients to competitors without seeing it coming  → Zero tracking of engagement or satisfaction signals Here's what Netflix does that valuation experts should copy: ✅ Monitor engagement patterns - Netflix tracks viewing habits, you should track client interaction patterns ✅ Predict churn before it happens - They know when someone's losing interest, you should spot the warning signs too ✅ Proactive intervention - They send targeted content, you should send targeted value ✅ Personalized follow-up - They recommend based on behavior you should tailor communication based on client needs ✅ Consistent touchpoints - They maintain regular contact, not just when selling something new The difference between Netflix and failed streaming services isn't content quality. It's their obsession with subscriber retention. The same principle applies to valuation work: - Your technical skills might get you the first project. - Your retention system determines if you get the next five. Smart valuation professionals don't just deliver great reports. They build systems that keep clients coming back and referring others. At Syntelligence Fintech, we’ve supported valuation professionals on 1000+ cases, handling all the backend work, so your clients stay satisfied, return for future projects, and refer others. Drop a DM to see how we can do the same for your practice.