How Flink Agents will transform live streaming with AI

🧬 Still using static personas from 2020? That’s not your audience anymore. I’m using AI to create living, breathing audience profiles — built from real-time data, not dusty assumptions. ⚡ Capture live behaviour + evolving intent ⚡ Serve personalised content in the right moment ⚡ Go from demographics to dynamic psychographics In my article, I show how AI creates responsive content strategies that connect more deeply: 👁️🗨️ https://lnkd.in/e95xuKyZ Are you still marketing to an archetype — or to a real person? 👤💡 #AudienceSegmentation #Personalization #AIforCX #ContentRelevance

The future of advertising in 2030 will look very different and Ad Age’s latest series breaks down what’s ahead. 📌 Key shifts to watch: - Gen Z is more willing to share data if it means personalized offers and convenience. - The Super Bowl will still matter — but costs could soar close to $10M per spot. Agencies are moving toward outcomes-based pricing, focusing on client results over hours billed. - Creators will continue evolving into media networks of their own, shaping entertainment and consumer trust. - Changing demographics, AI search adoption, and shifting loyalty expectations mean marketers need to prepare now for entirely new consumer relationships. Great piece Parker Herren. Link in the comments. 🔗 #creatormarketing #influencermarketing #AI #creators #superbowl

In a connected world a creator who can not just Speak multiple languages but has a culture itself that is "global" and inclusive is how to capture the demographics big companies struggle to even be ignored by. Can your brand streamer communicate in Russian and Japanese to chat? Can your product ambassador convince the difficult French audience to participate and stick around? Reach out to see how AI and SEO and working with the right creators can get your product and brand in front of an actual global audience not just global bot farms.

Advertising is more effective when it connects with people through their passions, not their profiles.💡 In this blog post, Brian Danzis, Seedtag’s Global CRO, shares how our Neuro-Contextual AI, Liz, goes beyond demographics to understand the interests, values, and real-time intent that define each person. By recognizing what truly drives audiences, Liz enables brands to create more relevant, respectful, and engaging advertising experiences. Full blog linked in the comments. ⬇️ #NeuroContextual #AdTech #ContextualAdvertising #AIAdvertising

Traditional customer classification by demographics—age, gender, income—offers a static view. But in a world being reshaped by AI, that’s just the starting point. Behavioral classification, powered by AI, unlocks dynamic insights: how consumers browse, buy, engage, and evolve. It’s not just who they are—it’s how they behave. AI doesn’t just segment—it learns, predicts, and personalizes at scale. This shift from static profiles to adaptive understanding is transforming how brands connect with their audiences. The future of consumer intelligence is behavioral, predictive, and AI-driven. Are your insights keeping up? #AIinMarketing #ConsumerIntelligence #BehavioralSegmentation #Personalization #DigitalTransformation #CustomerExperience

Using AI to Predict Buyer Behavior Most marketing teams still rely on gut instinct or broad demographics to guide their strategy. But AI is making it easier to actually predict what buyers are likely to do next based on data. By analyzing browsing patterns, purchase history, and engagement, AI can help spot when a customer is ready to buy. That kind of insight lets you personalize offers, time follow-ups better, and avoid wasting spend on cold leads. Instead of relying on assumptions, AI finds real patterns on how people behave so you can act on signals instead of speculation. Bottom line: If you know what your audience is likely to do next, you can remove a lot of the guesswork involved in deciding how to target them.

Replacing costly audience testing with AI-generated respondents sounds revolutionary, and it is, in part. Synthetic respondents can model demographics, personas, and evolving tastes, offering rapid feedback for content, marketing, and recommendation systems. But research shows they flatten nuance, skew positivity, and miss lived experience. Read our blog to learn more about synthetic respondents and how they’re shaping the streaming industry: https://lnkd.in/dw-CeBUn

Smart signage has evolved beyond simple content display. Leveraging AI and real-time sensor data, these intelligent screens now deliver hyper-relevant messages by dynamically adapting to audience demographics and environmental cues. This new era of digital signage is defined by its dynamic, data-driven, and highly personalized approach.

🚀 Scrape OTT Watch History for Smarter Behavioral Research In the fast-evolving world of #DigitalEntertainment, understanding viewer behavior is key. By #ScrapingOTT watch history, businesses can gain actionable insights into #ContentPreferences, binge patterns, and engagement trends. 📊 Leveraging #OTTDataAnalytics allows marketers, researchers, and streaming platforms to: Identify trending shows & movies 📺 Understand audience demographics & preferences 👥 Personalize recommendations for higher engagement 🎯 Inform smarter #ContentStrategy & investment decisions 💡 With #OTTBehavioralResearch #DataDrivenDecisions are no longer optional—they’re essential for staying competitive in the #StreamingIndustry. 💡 Want to unlock the full potential of your #OTTData? Start analyzing watch history patterns today and transform insights into growth! Source: https://lnkd.in/e4EbgB8B #OTTDataScraping #WatchHistoryAnalysis #BehavioralResearch #OTTAnalytics #StreamingInsights #ContentStrategy #DigitalResearch #USA #UK #UAE #China #Canada #OTTScrape

Surveys are noisy. People are tired of being asked about their preferences. And bots? They don’t make the data any cleaner. 🆘 That’s where AI-powered synthetic data steps in. 🤝 Instead of relying on broken inputs, it builds a statistical reconstruction of the population—behaviors, attitudes, demographics, all without PII. The result? You can model, attribute, and understand audiences with granularity while preserving privacy. Ray Kong dives into this fascinating shift on the latest episode of AI: Machine-Made Marketing by Advertising Week 🎙️ 👉 https://lnkd.in/gQ86NTDE #AW360 #AI #SyntheticData #SyntheticPopulation #TheFutureofMarketing