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Panorama AI

Panorama AI

科技、信息和网络

Santa Monica,CA 287 位关注者

Drive results with the full picture. AI-powered, privacy-first personalization for retail.

关于我们

Launch AI-powered, personalized customer experiences and improve operational intelligence with industry leading predictive intelligence fueled by zero-party, first-party, and rich multimodal data. Panorama AI gives you the power of an enterprise data science team without the complexity or risk -- at a fraction of the cost. Drive revenue, engagement, and retention with intelligence designed to fuel your business.

网站
https://www.panorama.ai
所属行业
科技、信息和网络
规模
11-50 人
总部
Santa Monica,CA
类型
私人持股
创立
2022
领域
Artificial Intelligence、Machine Learning、Data Intelligence、Insights、Computer Vision、Large Language Model、Augmented Reality、Data Insights、Personalization、Data Privacy & Compliance、In-home & Lifestyle Insights、Predictive Analytics、Zero Party Data、First Party Data、Furniture & Home Apparel、Marketing Insights、Return on Ad Spend和Predictive Needs Engine

地点

Panorama AI员工

动态

  • 查看Panorama AI的组织主页

    287 位关注者

    ?????? ???????????? ???? ????????????: ???????? ????????????????, ?????????? ???????????????????? ?? Most retailers still focus on short-term conversions, but what if you could predict who your highest-value customers will be before you spend a dollar? This is the power of Predictive Lifetime Value (pLTV). Instead of optimizing for one-time purchases, brands using pLTV are: ? ?????????????? ?????????????? ???? ???????? & ???????????? – Prioritizing high-LTV segments for better ROAS ? ?????????????????????? ???????????? ???? ?????????? – No more throwing budget at low-value buyers ? ?????????????????????????? ???????? ???????????? – Serving the right offers, products, and messaging based on true customer value ? ???????????????????? ?????????????????? & ?????????????? – Knowing exactly who to nurture and when ? ??????????????-???????????????? ???????????????????????? – Not all LTV buckets should be treated the same; some channels (like prospecting vs. retention) may benefit from lower-LTV audiences ?? The results? ????% ???????????? ?????????????? ???????? ???????? ??????????, ???????????????? ??????????????????, ?????? ?? ????%+ ???????????? ???? ????????????-???????? ????????????. Brands that continue to optimize for short-term CAC efficiency will fall behind. The future belongs to those who maximize customer lifetime value. Are you still guessing, or are you predicting? Let’s chat. ???????? ???? ?????? ?????? ????-?????? ???????? ???????? ?????????? ????????! https://lnkd.in/eMr5EhRP

  • 查看Panorama AI的组织主页

    287 位关注者

    The Secret to Winning 2025? Knowing Your Most Valuable Customers—Before You Spend a Dollar. - What if you could see the future of your customer base? - What if you knew which customers would generate the most revenue before investing in ads, promotions, or discounts? That’s the power of Predictive Lifetime Value (pLTV): ?? Identify high-value customers: Focus your budget on the people who will actually drive long-term revenue. ?? Eliminate wasted ad spend: Stop guessing. Start optimizing. ?? Personalize at scale: Serve the right offer to the right customer at the right time. ?? Adapt in real time: Spot shifts in customer behavior before they impact your bottom line. Data-driven marketing isn’t optional in 2025—it’s the difference between winning and getting left behind. ?? Want to see pLTV in action? Try our risk-free pilot and experience the impact for yourself. https://lnkd.in/eMr5EhRP #eCommerce #PredictiveAnalytics #pLTV #ArtificialIntelligence

  • 查看Panorama AI的组织主页

    287 位关注者

    Real Results, Real Impact Ashley experienced a 161% increase in monthly META revenue after Panorama identified and implemented its top-performing PLTV segment, which scaled 5X larger than the existing segment options. How? Identifying High-Value Customers – We pinpointed audiences most likely to convert and drive long-term value. Optimizing Ad Spend – Every dollar went further by focusing on the right audience Reducing Wasted Spend – No more guessing or targeting low-potential audiences. When you know your best customers, every campaign works smarter. Are you ready to turn insights into ROI? Let’s make your marketing dollars count. #SuccessStory #Personalization #ROAS #DataDrivenMarketing

  • 查看Panorama AI的组织主页

    287 位关注者

    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

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  • 查看Panorama AI的组织主页

    287 位关注者

    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

  • 查看Panorama AI的组织主页

    287 位关注者

    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

  • 查看Panorama AI的组织主页

    287 位关注者

    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: 1?? Zero-party data—Ask your customers for their preferences and offer them exactly what they want. 2?? First-party data—Track what they do, buy, and search for on your platform. 3?? 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

  • 查看Panorama AI的组织主页

    287 位关注者

    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!

  • 查看Panorama AI的组织主页

    287 位关注者

    ?? 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

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  • 查看Panorama AI的组织主页

    287 位关注者

    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

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Panorama AI 共 1 轮

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US$4,000,000.00

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UP Partners
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