Panorama AI

Ready to win 2025? Here’s how Predictive Lifetime Value (PLTV) insights can guide your marketing strategy: ► Identify High-Value Customers: Know exactly who drives the most revenue so you can double down on quality leads. ► Target Efficiently: Spend smarter. Allocate your ad budget where it matters most, boosting ROAS and cutting wasted spend. ► Personalize at Scale: Deliver offers, recommendations, and messaging that truly resonate—no more guesswork. ► Adapt Quickly: Monitor shifting patterns, seasonal spikes, or new product launches through the lens of PLTV data. Start the new year with a roadmap based on insights, not intuition. Ready to see it in action? Try our risk-free PLTV trial and set the stage for a record-breaking 2025. #eCommerce #2025Planning #PredictiveAnalytics

What if you could understand your customers from every possible angle? That’s where multimodal data comes in—and it’s about to revolutionize personalization. So, what exactly is multimodal data? It’s data collected from multiple customer touchpoints, combining different types of inputs to give you a full 360-degree view of your customers. Here are some real-world examples straight from the playbook: 📊 Review sentiment—Analyze customer feedback to understand satisfaction and pain points. 💬 Chat interactions—Track what customers are asking in support chats to personalize future offers. 📞 Call sentiment analysis—Use AI to gauge customer mood and experience during support calls. 📷 Photos and videos—A retailer like ASOS tracks product photos uploaded in reviews to recommend related items. 🛒 Behavior across apps and sites—Amazon collects search queries and purchase intent data across its entire ecosystem to provide hyper-relevant product suggestions. Imagine this: A customer searches for "best living room sofa" but hasn’t added anything to their cart. Using multimodal data collectors —like browsing behavior, previous purchases, and review interactions—you send them a personalized guide on how to choose the perfect sofa. 🔑 The best part? Multimodal data allows for real-time personalization, so you can adjust messaging and offers based on every interaction—no matter where it happens. In 2024, brands that master this will create personalized experiences that feel seamless, intuitive, and deeply connected to what their customers want. Are you ready to leverage multimodal data to drive personalization? ♻️ Repost if you’re excited about the future of data-driven marketing! #MultimodalData #Personalization #CustomerExperience #AI #DataDrivenMarketing #DigitalTransformation #CustomerInsights #FutureOfMarketing #MarketingInnovation

Do you still send the same emails to every customer? 🚨 It’s time to stop. Here’s why: Customers want relevance. Brands that use zero-party and first-party data are outpacing the competition. Hyperpersonalization isn’t just a buzzword—it’s the future. 💡 The brands that collect and leverage customer data smartly—think Amazon, ASOS, and Netflix—are creating personalized experiences that feel like a VIP treatment. 🔑 Here's how to start: Ask your customers what they really want - think quizzes, surveys, questionnaires, etc. (that’s zero-party data). Track their shopping behaviors and preferences (first-party data). Combine both for a holistic view that drives real engagement. In 2024, personalization isn’t optional—it’s the only way to cut through the noise. How are you using data to connect with your customers? ♻️ Repost if you’re ready to leave generic marketing behind. #PersonalizedMarketing #CustomerEngagement #FirstPartyData #ZeroPartyData #Hyperpersonalization #MarketingInnovation #CustomerInsights #DigitalMarketingTrends #FutureOfMarketing

Why Data is the Future of Retail (And How to Win With It) If you’re in eCommerce and not leveraging data, you’re falling behind. Here’s why: Brands like Amazon and Walmart have mastered the art of using zero-party and first-party data to personalize every customer interaction. But what if I told you any brand could do the same? 3 steps to personalize like the retail giants: 1️⃣ Zero-party data—Ask your customers for their preferences and offer them exactly what they want. 2️⃣ First-party data—Track what they do, buy, and search for on your platform. 3️⃣ Multimodal data—Go beyond clicks—use videos, images, and search data to understand your customers at a deeper level. 🚀 Personalization is the real differentiator in 2024. The brands that know their customers will win. What’s your biggest data-driven marketing challenge? P.S. Share this post if you agree that the future of retail is personalized. #DataDrivenMarketing #RetailTech #eCommerceGrowth #CustomerExperience #PersonalizationStrategy #MarketingTrends2024 #FirstPartyData #ZeroPartyData #DigitalTransformation

Let’s be real—customers today are overwhelmed by generic marketing messages. 🔑 The key to standing out? Personalization. And we're not talking about just using their name in an email. Here’s the formula to use in 2024 to drive better results: 1. Zero-party data—Ask customers directly what they want (they’ll appreciate the transparency). 2. First-party data—Track behavior to offer relevant products at the right time. 3. Multimodal data—Leverage every interaction (clicks, video views, etc.) for hyper-relevant offers. By combining these 3 types of data, we create a personalization flywheel that keeps spinning—more data, more relevant offers, and ultimately, more conversions. Let’s focus on what really matters this year: knowing our customers better than anyone else. What personalization tactic will you focus on in 2024? ♻ Repost to share the secret to personalization success!

📢 Exciting News! Our CEO, David Fisch, will be speaking on a panel at the FUTURE OF LICENSING: XTracks Executive Summit next Thursday, Sept 12 in Beverly Hills, CA! This exclusive event brings together senior licensing and toy executives to explore game-changing topics, including: ➡ AI and its transformative power in licensing ➡ Future commerce ➡ E-commerce technologies ➡ Entertainment brand trends Dave will join industry leaders to discuss AI's impact on licensing and share insights on AI strategy and workflow integration. If you're attending, don't miss out on this opportunity to learn, connect, and grow! #LicensingSummit #AIinLicensing #FutureCommerce #EntertainmentBrands #ExecutiveSummit #NetworkingOpportunities https://lnkd.in/gd3nyqdi

First-party data is transforming how retailers connect with their customers. As privacy regulations tighten, relying on first-party data is not just a smart move—it's essential. This data allows businesses to personalize experiences, build stronger customer relationships, and drive growth while staying compliant. The future of retail lies in understanding and utilizing the data you collect directly from your customers. Want to stay ahead in the data game? Dive into the full article to learn how first-party data can revolutionize your strategy. #FirstPartyData #DataPrivacy #CustomerExperience #RetailInnovation #DigitalMarketing https://lnkd.in/gzdnD_8k

How do brands like Amazon, Wayfair, and Shopify extract the maximum value from their data strategies? They identify a specific use case for data, then collect it to reach the finish line 📈 → But how does that actually work in practice? Here’s a quick breakdown of how leading brands approach their data strategies: 1. Define the goal Does your brand want to improve personalization, targeting, or maybe CX? (For this example, let’s focus on CX.) 2. Expand on the goal What does a good CX look like from end to end? How does your current CX experience differ from your ideal one? 3. Establish sales cycles Conduct user research to determine journey stages, what info customers seek at each stage, and how your brand can deliver those resources. 4. Establish buyer personas Dive deep into your customer cohorts—how they view your brand, how their lifecycle needs differ, and the resources they need to convert. 5. Collect your supporting data Reinforce the foundation you’ve built with supporting data. Pro tip: ensure full transparency into where the data came from, how it was managed, and where it will have the most impact. 6. Execute your data strategy Ensure your internal teams clearly understand the data, its purpose, and how to use it to achieve your initial goal. TLDR: You don’t have a data strategy without aligning on a strategy first. Before you even think about collecting data, ensure it has a solid foundation to stand on ⚡ Interested in learning more? Shoot us a note—always happy to chat about data strategy!

Panorama AI has engaged with over 15 retailers in recent weeks and identified a common pitfall in developing a data strategy: ❌ Many teams place too much emphasis on data collection rather than focusing on execution. While both data collection and storage are vital components of any data strategy, the true value lies in having a clear end goal for action. Without this focus, businesses risk simply accumulating data without purpose, leading to several issues: 1) Compliance challenges when data isn't leveraged to improve customer experience 2) Increased burden on infrastructure due to unnecessary data collection and storage 3) Lack of clarity on how to utilize the data effectively To avoid turning data collection into a black box, Panorama AI advises brands to start with a specific use case for the data, then collect it with the end goal in mind. For more insights into how Panorama AI is helping businesses optimize their data strategies, connect with us today!

Is your business still relying on third-party data? It's time to rethink your strategy. Our latest blog post breaks down why third-party data is becoming increasingly unreliable and how evolving privacy laws and accuracy issues are impacting its effectiveness. Explore alternative data strategies that not only enhance personalization but also protect your brand from legal and security risks. Read the full article below and learn how to future-proof your data strategy. #DataPrivacy #AI #PanoramaAI #MarketingStrategy https://lnkd.in/dcPUe9_5