{"id":3490,"date":"2025-09-15T18:00:00","date_gmt":"2025-09-15T18:00:00","guid":{"rendered":"http:\/\/www.zoomlavilin.com\/?p=3490"},"modified":"2025-09-25T13:14:54","modified_gmt":"2025-09-25T13:14:54","slug":"how-smart-brands-are-delivering-netflix-level-personalization-with-ai","status":"publish","type":"post","link":"http:\/\/www.zoomlavilin.com\/index.php\/2025\/09\/15\/how-smart-brands-are-delivering-netflix-level-personalization-with-ai\/","title":{"rendered":"How smart brands are delivering Netflix-level personalization with AI"},"content":{"rendered":"
Remember the last time you got an email that started with \u2018Hey {First_Name}\u2019 and immediately felt like deleting it? That visceral reaction isn’t just about poor execution \u2014 it signals a fundamental shift in buyer expectations.<\/p>\n<\/p>\n
HubSpot research shows<\/a> that 78% of customers expect more personalization in business interactions than ever before. Yet only 47% of business leaders say their customer service experiences are highly personalized.<\/p>\n You can no longer rely on old-school personalization tactics like adding basic customer details to a holiday card or making a generic comment like \u201cI love what your company is doing\u201d in your outreach.<\/p>\n Buyers want to feel like their favorite brand understands their underlying needs and motivations. And they\u2019re doing business with those who prioritize deep connection.<\/p>\n These expectations have raised the bar. You know that \u201cHow did they know?\u201d moment when you\u2019re browsing Netflix and the algorithm picks your next binge-watch for you \u2014 and actually gets it right?<\/p>\n That\u2019s the new personalization standard that buyers are holding your brand to.<\/p>\n Reaching that level of resonance isn\u2019t possible with old marketing tactics. The good news is that we\u2019re in the age of AI, where traditional marketing strategies have evolved and opportunities for hyper-personalization are endless.<\/p>\n This is where playbooks like HubSpot\u2019s Loop Marketing<\/a> come in. Businesses need the right tools to adapt to a world where you have access to unlimited information and endless distribution channels \u2014 and AI to make sense of it all.<\/p>\n The Loop is the four-stage playbook that helps businesses evolve with customer habits. Here are the stages:<\/p>\n 1. Express<\/strong> who you are: Define your taste, tone, and point of view.<\/p>\n 2. Tailor<\/strong> your approach: Use AI to make your interactions personal.<\/p>\n 3. Amplify<\/strong> your reach: Diversify your content across channels for humans and bots.<\/p>\n 4. Evolve<\/strong> in real-time: Iterate quickly and effectively.<\/p>\n Each of these stages is important, but today, we\u2019re focusing on Tailor<\/em>.<\/p>\n When you combine AI efficiency with human authenticity, you can deliver customer experiences that feel one-on-one at scale. And knowing how to Tailor<\/em> your messaging effectively is how you get there. Here\u2019s the breakdown.<\/p>\n Tailoring is about making your content feel personal<\/em>, not just personalized<\/em>.<\/p>\n As a brand, you want to leverage your unified customer data \u2014 everything from call records to website behavior \u2014 to create genuine relevance. That means developing solutions that resonate with both prospects and existing customers.<\/p>\n According to a 2025 HubSpot survey<\/a>, a whopping 96% of marketers reported that personalized experiences have increased sales.<\/p>\n And that\u2019s a big reason why brands like Netflix, Spotify, and Amazon are at the top. They use data about your past behavior to predict your future preferences \u2014 whether that\u2019s a TV show, a playlist, or a product recommendation. The more you know about your target customer, the easier it is to meet (and exceed) their expectations.<\/p>\n Delivering that kind of one-to-one relevance starts with the data you use to power your strategy. Here\u2019s what that looks like in practice.<\/p>\n Most businesses are sitting on goldmines of customer data. Customer interactions live in help desk portals, intent signals hide in analytics, and behavior patterns are scattered across platforms.<\/p>\n The tricky part isn\u2019t gathering the data \u2014 it\u2019s making sense of it all. If you can\u2019t connect the dots, all of that good data goes unused.<\/p>\n Take this example: You\u2019re doing cold outreach to the VP of Product at a fintech startup. Sure, it\u2019s nice to know basic information like their industry and company size. But what if you also knew that the company just secured another round of funding and is preparing to expand into the SMB market?<\/p>\n That’s the difference between surface-level tracking and enriched intelligence. It\u2019s knowing exactly where each buyer is in their journey and using that context to guide your marketing strategy.<\/p>\n The key to nailing this is using the right tools<\/a> to bring those scattered signals together. Many of these tools are powered by AI to help you layer context \u2014 like firmographics, industry movements, and company news \u2014 into your existing contact records.<\/p>\n You can then pull data across your entire tech stack \u2014 your CRM, marketing automation, website analytics, even your sales team’s conversation notes \u2014 and compile these touchpoints into a single source of truth.<\/p>\n Once your data is unified, the next step is turning those insights into customer profiles you can actually act on.<\/p>\n With data at the foundation, you can turn your rich, contextual insights into real target audience segments. That means going beyond traditional demographics like \u201cMarketing Manager, 25-35, SaaS.\u201d<\/p>\n Today\u2018s top marketing campaigns are built around intent and timing instead of job titles and company sizes. Brands are zeroing in on hyper-specific audiences like “Companies showing expansion signals who\u2019ve engaged with competitive content in the past 30 days.”<\/p>\n Instead of using the static audience approach, use AI tools like ChatGPT or Breeze<\/a> to identify dynamic targets based on real-time behavioral patterns and intent signals.<\/p>\n Here\u2019s one approach: Choose a broad intent category (e.g., \u201cactively evaluating solutions\u201d) and layer in context clues (e.g., pricing page visits, competitor research, email engagement patterns, or subtle signals like increased website time-on-page).<\/p>\n Your prompt will look something like this:<\/p>\n \u201cFind contacts who have shown signs of active solution evaluation in the past 30 days. Include behaviors like pricing page visits, demo requests, or content downloads focused on product ROI.\u201d<\/p>\n The beauty of intent-based segmentation is that your messages land when people are ready to hear them, not when your campaign calendar says it’s time to send them.<\/p>\n True personalization is about meeting your customers where they are with messages that make them stop and think, \u201cWait, how did they know that?\u201d<\/p>\n Sprinkling \u201cHey {First_Name}\u201d personalization into an email is so<\/em> old playbook. If you truly understand your customers, you can connect your solution to their specific challenges and make your marketing feel more like advice from a trusted colleague.<\/p>\n This approach works across all channels. Take landing pages and CTAs as examples. Rather than using one-size-fits-all messaging, try creating variations that speak to different use cases.<\/p>\n<\/a><\/p>\n
The Next Chapter of Personalization<\/h2>\n
Tailoring a Custom-Fit Message<\/h2>\n
<\/p>\n
Gathering the Data That Matters<\/h3>\n
Moving from Insights to Customer Profiles<\/h3>\n
Finding the Intersection Where Personalization Meets Connection<\/h3>\n