🎁 Christmas left us with October's Data Report as a gift! Elena Neira leads this month’s editorial and analysis of the Spanish market: 🌎 Localise the Storytelling, Globalise the Distribution! What was once seen as a risky move—sacrificing Anglo-Saxon dominance to spotlight productions from other regions—has turned out to be a golden goose for global streaming strategies. 🗝️ Key Insights 1. Netflix: The Goose's Flight or the Aerodynamics of a Leader: Netflix strategically cross-promotes content with shared elements, driving higher performance across its platform. 2. The Irony of IPs: While The Walt Disney Company built its empire around intellectual property, its latest streaming hits suggest a growing disconnect between content ownership and audience success. 📈 Our analysis includes the top 100 titles from Netflix, Amazon, HBO Max (Spain), and Disney+. Want to know how this data can boost your business? Contact us for more information!
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IBM Certified Data Scientist| Driving FMCG Success with Data Analysis, Marketing Mix Optimization, and Market Research.
Have you ever wondered how Netflix knows your next binge-worthy show? Or how Spotify nails your vibe with its playlists? Data Analytics is the secret sauce revolutionizing the Media & Entertainment industry, transforming how we create, deliver, and consume content. 🎯 From personalized recommendations to revenue-boosting insights, the power of data is reshaping the future of entertainment! 💡 Check out this carousel to discover the game-changing role of analytics in one of the most dynamic industries. 👉 Swipe through to learn more, and let’s discuss how analytics shapes your world! #DataAnalytics #Media #Entertainment #Innovation #LinkedInCarousel
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Data Analytics & AI Specialist | Empowering Businesses to Make Informed Decisions & Elevate Customer Experience
𝐄𝐯𝐞𝐫 𝐰𝐨𝐧𝐝𝐞𝐫𝐞𝐝 𝐰𝐡𝐚𝐭 '𝐦𝐚𝐤𝐢𝐧𝐠 𝐝𝐚𝐭𝐚-𝐝𝐫𝐢𝐯𝐞𝐧 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬' 𝐫𝐞𝐚𝐥𝐥𝐲 𝐦𝐞𝐚𝐧𝐬? It’s all about letting insights and analytics pave your strategic path. For instance, sports streaming services analyze viewer habits to tailor content and keep fans engaged, even when their favorite team isn't winning. Similarly, when you scroll through Netflix, your recommendations are precisely shaped by data to suit your viewing tastes. Data-driven strategies are transforming industries by enhancing user experiences and optimizing service offerings. Interested in learning how you can use your data to improve decision-making and drive your business forward? Reach out to me directly!
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I help startups scale with ads | 2x monthly ad conversions for 5 businesses, each over a 90-day period, reducing customer acquisition cost
This insight led Netflix to develop ‘House of Cards,’ helping them surpass $1 billion in quarterly revenue for the first time. By examining the movies and shows their customers were watching, the Netflix team uncovered a key insight: Kevin Spacey films and political drama series were both hugely popular. This analysis drove the production of 'House of Cards,' which became a massive hit and a must-have experience for many subscribers. This story illustrates a powerful lesson: analyzing meaningful data drives massive breakthroughs. Surface-level metrics like page views and bounce rates provide limited insights. Dig deep to find your diamonds. Segment your customers into your most avid users and the rest, then compare them. Are there demographic differences such as gender, age, or location? What behaviors set them apart? Do the most avid users use a specific feature, product, or service more frequently? And more… Data is powerful, but you need the right infrastructure and team to maximize its potential. Invest in these, and you’ll uncover your own 'House of Cards' insight. Do you understand the power of marketing analytics? If so, how do you make the most of it?
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📊 Digital i data featured in Ben Keen's illuminating presentation at the British Screen Forum Conference ⭕ Ben revealed the key pivots taking place in the industry as the viewing revolution comes full circle. 💲 The economic realities of the market are driving renewed interest to tried-and-tested strategies - but the most successful players will adapt these tactics in an agile and flexible manner to fit the modern media landscape. 📺 Advertising models grow in prominence on global streaming platforms with Digital i data illuminating Netflix's journey to reaching 70 million active ad-supported users. 🎥 As Digital i data shows, licensed content is regaining importance both for streamers and for audiences. Meanwhile, producers are reimagining the global distribution rights model to maximise revenue in a world of reduced budgets and tight margins. Discover how these key industry shifts affect your content and your target market: https://lnkd.in/etFFZDUP #britishscreenforum2024 #britishscreenforum
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"📈 Marketing Enthusiast & Creative Thinker | B.Com Graduate | Passionate About Data-Driven Strategies and Continuous Learning"
🎬 Case Study: How Netflix Uses Data to Lead the Entertainment Industry 🎬 Netflix has redefined how we consume entertainment by harnessing the power of data. 📊 Through deep analysis of viewing habits, user preferences, and behavior patterns, Netflix doesn't just recommend content—it creates original shows and movies tailored to what its audience loves. This data-driven approach has been a game-changer, helping Netflix grow its global subscriber base to over 230 million 🌍. The company's success highlights the importance of leveraging data to make informed decisions and stay ahead in a competitive market. Key Takeaway: In today's digital age, data is more than just numbers—it's a tool for crafting personalized experiences and driving business growth. How is your organization using data to stay ahead? 🚀 #DataDriven #Netflix #BusinessStrategy #DigitalTransformation
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🎬 Exploring the World of Netflix: Insights from Data 📊 The magic of Netflix isn't just in its shows and movies; it's also in the incredible stories hidden within its data! 📈 Using a rich dataset, I analyzed key metrics like viewer preferences, genre popularity, and content performance. Some highlights: Viewer Trends: What genres keep audiences binge-watching? Content Insights: How does release year influence viewer ratings? This deep dive showcases how data drives decisions in the entertainment industry, from content creation to personalized recommendations. 🌍✨ 🔗 What are your thoughts on the role of data in shaping the entertainment experience? Let me know in the comments! #DataScience #Netflix #Analytics #StorytellingWithData
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This research from Bain and Co paints multi-screen behavior as a problem for marketers but I see opportunity — especially for B2B. Imagine knowing what media your ICP consumes while passively skimming their feeds, inboxes, and communities. Or picture finding out majority of your ICP are sneaker heads, love watching cooking and travel shows, or obsessed with DIY projects. How would that insight influence your approach B2B marketing? What would you try? The idea of tapping into the lifestyle commonalities among customers may sound as unserious and unsophisticated as "blogging" once was but I anticipate someone will prove this a viable approach soon enough. The fragmentation of our audiences on the internet will make it so.
An Attention Problem A few days ago I posted about a piece on N+1 that was written back in December, that garnered a lot of interest because it highlighted how Netflix was developing more and more content focused on a category it calls "Casual Viewing". This translates to content that people half watch while they are doing other things. To investigate the topic of inattention, I went looking for some recent data and stumbled across some work Bain did in June 2024 to coincide with Cannes- it didn't get picked up very much, but it should have done because it contains some fascinating factoids. Massive implications here with respect to media costs, reach and the ability of advertising to garner attention when people aren't even paying attention to content.
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How does Netflix always know what you want to watch?🤯 It's all about Predictive Analytics!🔥 Hear from Sunmeet Sethi, as he explains the game-changing tech Netflix uses to predict your next binge-worthy show. From personalized covers to spot-on recommendations, you’ll get an insider look at the powerful algorithms shaping your viewing experience. Curious about how data is shaping entertainment as you know it?🎬 Don’t miss out – watch now and discover more about predictive analysis!⬇ . . . #futurense #futurenseuni #netflix #iim #data #predictiveanalytics #entertainment
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An Attention Problem A few days ago I posted about a piece on N+1 that was written back in December, that garnered a lot of interest because it highlighted how Netflix was developing more and more content focused on a category it calls "Casual Viewing". This translates to content that people half watch while they are doing other things. To investigate the topic of inattention, I went looking for some recent data and stumbled across some work Bain did in June 2024 to coincide with Cannes- it didn't get picked up very much, but it should have done because it contains some fascinating factoids. Massive implications here with respect to media costs, reach and the ability of advertising to garner attention when people aren't even paying attention to content.
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Global Fractional◇Freelance Consumer Insight & Strategy Leader | ex. Kraft, Mondēlez, Campbell's, Kruger, Unilever
👩💻👩💻👩💻👩💻👩💻👩💻👩💻👩💻👩💻👩💻👩💻 This is a big problem for advertisers. Not sure what you do about this. 🤷♀️ I for one avoid commercials. Sorry 🤭. I PVR my shows or stream. When I watch live TV, I switch channels when the commercials come on or am on my phone, half listening. So what's the solution? Yeah, you could day digital ads, but reach is limited, plus many of us GenX + aren't heavy SM users. IDK 🤷♀️. I tried to think about a solution, but my brain hurts too much trying to come up with something🤦♀️? Thoughts? ⬇️ #advertisingavoiders #whatsabrandtodo? #attention #researchgeek 🤓
An Attention Problem A few days ago I posted about a piece on N+1 that was written back in December, that garnered a lot of interest because it highlighted how Netflix was developing more and more content focused on a category it calls "Casual Viewing". This translates to content that people half watch while they are doing other things. To investigate the topic of inattention, I went looking for some recent data and stumbled across some work Bain did in June 2024 to coincide with Cannes- it didn't get picked up very much, but it should have done because it contains some fascinating factoids. Massive implications here with respect to media costs, reach and the ability of advertising to garner attention when people aren't even paying attention to content.
