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How does 149.8% increase in click-through rate, 4.6% increase in conversion rate and a 6% increase in average order value (AOV) sound? That's what PUMA was able to achieve using #GCP #BQML for advanced audience segmentation. Have a look at PUMA's sharing below 👇

The Critical Role of AI-Powered Targeting in Hitting the Right Chords In today’s market, personalization is more than just a buzzword; it’s an absolute necessity! With countless products and services at our fingertips, customers expect brands to truly understand their unique preferences and deliver tailored experiences. Unfortunately, traditional customer segmentation methods just can’t keep up with these evolving demands. Enter AI-powered segmentation, which is revolutionizing how businesses connect with their audiences. Here’s a closer look at how it works: 1. Real-Time Data Processing AI has an incredible ability to analyze vast amounts of customer data in real time. This means businesses can serve up highly relevant content precisely when customers are most likely to convert. Just think about Amazon they seem to know my shopping habits a little too well! Since I’m all about snagging those fall clothes, their recommendations are always spot on, presenting me with fantastic options that fit my style and budget. Honestly, it’s not me; it’s their stellar targeting that keeps me hitting “Add to Cart!” 2. Predictive Analytics AI also excels at predicting future customer behavior by analyzing past interactions. This capability allows businesses to anticipate customer needs and create hyper-personalized marketing strategies. Take Netflix, for example. They analyze my viewing patterns to recommend shows that match my eclectic tastes (which can be a bit cringe-worthy, ranging from K-dramas to the gritty world of Mirzapur). Thanks to their AI, I often find myself binge-watching shows I didn’t even know I wanted. 3. Integration of Multiple Data Points AI can consolidate data from various sources such as social media, purchase history, and customer service interactions providing a holistic view for more accurate segmentation. Spotify does this brilliantly, pulling together insights from my listening habits, social interactions, and user feedback. This allows them to create customized playlists like “Discover Weekly,” which honestly feel like they were crafted just for me. It’s like having a personal DJ who knows my taste even better than I do! If you’re considering integrating AI segmentation into your high-level marketing strategy, it's crucial to identify key areas where your conclusions have been based on basic demographic analysis. Replacing these basic assumptions with AI customer segmentation data is essential for maximizing the benefits of artificial intelligence tools. By leveraging AI, you can transform your marketing efforts, enhance customer engagement, and ultimately drive better business results. #CustomerSegmentation #Personalization #MarketingStrategy #AITargeting

🚀 Transform Your Lead Targeting with AI-Powered Predictive Analytics! 🚀 Hey everyone, ready to revolutionize your approach to targeting leads? Today, we’re diving into the incredible power of AI and predictive analytics. Let’s unlock the future of marketing together! 🔮 What is Predictive Analytics? Predictive analytics uses AI to analyze patterns in your historical data and predict future behaviors. This means you can anticipate what your customers want before they even know they want it! 📊✨ Top Tools to Watch: IBM Watson: Provides insights that not only predict buying patterns but also suggest optimal times for customer engagement. Adobe Analytics: Uses AI to forecast trends and customer reactions, keeping your campaigns ahead of the curve. Google AI Predict: Offers real-time predictions to dynamically tailor your marketing strategies. Why This Matters for You: 🔍 Shift from Reactive to Proactive Marketing: Enhance customer satisfaction and increase retention. 🔍 Boost Conversions: Drive higher conversions by anticipating and meeting customer needs. 🔍 Maximize ROI: Tailor your marketing efforts to be more effective and efficient, reducing waste and increasing return on investment. How to Get Started: Integrate AI Analytics Tools: Sync these tools with your existing data systems to gain actionable insights. Refine Your Marketing Messages: Use insights to personalize offers based on predicted customer behaviors. Continuously Test and Refine: Keep your campaigns effective by leveraging AI-driven feedback. Predictive analytics is more than just a tool—it’s your gateway to more strategic, informed, and successful marketing efforts. Embrace the power of AI and start predicting your customers' needs today! 🌟 For more insights on using AI to drive your business forward, make sure to: 📩 DM 📞 Text: 619-701-5291 📧 Email: Alex@BSMvault.com Let's harness the power of AI together! Don’t forget to like, share, and follow for more tips on enhancing your mortgage marketing strategy. 💪 #MortgageMarketing #AI #PredictiveAnalytics #LeadTargeting #DigitalMarketing #BusinessGrowth #AIinMarketing

"As a next step to composable commerce, we often see customers looking at how to do personalization within headless ecosystems. In our approach, personalization generally falls into three main categories supported by one or more personalization platforms: customer grouping, product affinity, and targeting." #newblog #headlesspersonalization #personalization #composablecommerce https://lnkd.in/gn5p-NdM

Title: Data Science in Marketing: Targeting and Engaging Customers with Precision Data science has revolutionized marketing by allowing companies to engage and target consumers with previously unheard-of levels of precision. Data science is transforming marketing in the following ways: client segmentation: With the use of data science, marketers are able to examine enormous volumes of consumer information to find relevant client groups based on traits like behavior, preferences, and buying habits. Using this segmentation makes it easier to create customized marketing plans for every group. Predictive analytics is a tool that marketers may use to estimate future trends, assess client lifetime value, and identify which consumers are most likely to make a purchase or churn by utilizing past data. Proactive and focused marketing campaigns are made possible by this insight. Recommendation Systems: Recommendation engines, which make recommendations for goods or information based on a user's prior behavior, preferences, and similarity to other users, are powered by data science. Campaign Optimization: Using data analytics, marketers can instantly improve their efforts. They can modify methods for optimal impact by examining campaign performance indicators like click-through rates, conversions, and engagement. Customer experience Mapping: By examining touchpoints across several channels (website, social media, email, etc.), data science assists in outlining the complete customer experience. This makes it possible for marketers to pinpoint problems, enhance communication, and provide smooth experiences. Social Media Analysis: Social media data analysis offers insightful information about the attitudes, inclinations, and patterns of consumers. Marketers can utilize this information to better target their messaging, find influencers, and interact with consumers. Attribution Modeling: Sales and conversions can be linked to particular marketing touchpoints with the use of data science. This attribution modeling makes it clear which campaigns and channels have the biggest impact. Real-Time Personalization: Based on unique user behavior, marketers can employ sophisticated machine learning algorithms to tailor adverts, email campaigns, and website content in real time. Fraud Detection: Data science is essential in spotting and stopping fraudulent activity, giving clients a secure and reliable environment. Optimized Ad Targeting: Marketers may reach the most relevant audience and increase conversion rates and return on investment by optimizing ad targeting through the analysis of consumer data and behavior.  #talentserve

"As a next step to composable commerce, we often see customers looking at how to do personalization within headless ecosystems. In our approach, personalization generally falls into three main categories supported by one or more personalization platforms: customer grouping, product affinity, and targeting." #headlesspersonalization #personalization #composablecommerce https://lnkd.in/gn5p-NdM

🚀 Experience the First, Integrated Best-of-Breed Audience Activation Stack Three renowned audience technology providers have joined together to offer a seamless tool suite to serve publishing and media brands. ONEcount's purpose-built Customer Data Platform (CDP), complemented by Upland PostUp's world-class Email marketing solution and Specialized Fulfillment Services (SFS) offers the convenience of a "single vendor" experience while accessing the expertise of industry veterans. Key Market Differentiators:   ·     A true CDP that is designed to handle all types of data from all of your data sources ·     An intuitive, Drag-and-Drop Form/Landing Page/Pop-up Builder that your team can build and deploy campaigns in a matter of minutes ·     Segmentation, targeting and analytics tools that include your biggest revenue-producing tool—Google Ad Manager (GAM/DFP) ·     Artificial Intelligence (AI) capabilities to identify actionable segments, subject-line assistant for headline rendering and campaign deliverability ·     The ability to target banner ad campaigns at audience segments for better engagement and higher ROI ·     The ability to report on banner campaigns both from Google and from sponsored e-newsletters within a single report ·     The ability to develop custom reports for internal and external use within the platform without having to use third-party tools and data lakes ·     Direct, SQL access to your underlying engagement data ·     Sophisticated paywall and gating technologies fully integrated with your fulfillment solution ·     A fulfillment company with extensive paid publication experience for both audited and non-audited publications ·     Fulfillment services with a real, dedicated account manager ·     Email distribution from a team that works with the top names in publishing ·     In-house Email deliverability experts For more details on this integrated offering, visit: https://lnkd.in/eTcUk8bd To request a demo, click: https://lnkd.in/ex58H6vy #customerdataplatform, #audiencemarketing

Sharing the most advanced predictive marketing tool Emma's been finding audiences for campaigns manually and rule-based We spoke two months ago, and she was honest: → "I’m drowning in manual analysis and fragmented data." → "I can't keep up with all the negative targeting." → "Our ad spends are rising and campaign ROI is declining." → "It's challenging to understand customer behavior accurately." She’s spending hours on spreadsheets. And the worst part? It’s draining her growth. So, we created the most advanced predictive segmentation tool for her In just a few days, here's what makes it special: ➝ Unify customer data across all touchpoints. ➝ Use AI/ML to prepare segments such as top spenders, at-risk and high purchase propensity customers in next 6-12 months. ➝ Automate campaign audience creation for precise, personalized outreach. ➝ Measure incremental revenue, ROI, and other KPIs to continually optimize. ➝ Optimize Ad Spend by reaching the right audience at the right time. ➝ Easy Integration with existing systems—no need for in-house experts. Now Emma has more time to focus on strategy. No more manual analysis, rule-based targeting or guesswork. She is seeing 2-3x sales and response uplift, significant retention improvements, and dramatic increase in marketing ROI. Want access to the same tool Emma is using? Comment "tool" and I'll send it to you. (Must be connected) 🚀

Artificial intelligence is revolutionizing marketing by enabling companies to create personalized ads that effectively target specific demographics. By utilizing AI for personalization and targeting strategies, businesses can drive higher and faster results than previously thought possible. This technology allows for the creation of advertisement campaigns tailored to individual customer behaviors, interests, and demographics, ultimately leading to increased consumer satisfaction, accurate data processing, and efficient marketing campaign optimization. Implementing AI in personalized marketing strategies also allows for the creation of individualized content, personalized email marketing, and interactive customer service experiences using virtual assistants and chatbots. #AI #PersonalizedMarketing #DigitalMarketing Incorporating AI in marketing has become essential for businesses looking to stay ahead of their competition and connect with customers on a deeper level. With AI tools, companies can analyze data to know when and where to place ads, create personalized advertisements at scale, and continuously improve email marketing based on customer behavior. By focusing on personalization and targeting strategies, businesses can develop innovative campaigns that speak directly to a large audience, foster customer engagement, and stand out as industry authorities. Utilizing advanced chatbots and personalized content can transform how businesses reach and engage with consumers in today's competitive market. #AIInMarketing #CustomerEngagement #InnovationMarketing

What are the benefits of an ID-Graph? An accurate ID-graph offers multiple benefits for companies by increasing conversions rates, optimising media efficiency and improving attribution. Data Enabler An ID-graph helps to consolidate data from multiple sources into a single, unified view of each individual, improving data accuracy and enabling comprehensive reporting and analytics. It can de-duplicate profiles and link customer interactions across devices and channels. For example, Web analytics software like Google Analytics 4 or Adobe Analytics can use the ID-Graph profile ID (Universal marketing ID) as a user id representing persons instead of devices. Profile Building Integrating diverse data points, an ID-graph builds rich, detailed customer profiles. This enables personalized experiences, predictive analytics, and effective lookalike modeling. For instance, combining purchase history with web behaviour helps tailor marketing efforts to individual preferences. Activations An accurate ID-graph enhances multi-channel activations by increasing reach, enabling precision targeting, and ensuring consistent messaging across all touchpoints. Behavioural triggers, such as cart abandonment, can activate timely and relevant campaigns. Attribution Tracking multiple touchpoints across the customer journey, an ID-graph enables accurate multi-touch attribution models. This helps identify the most effective marketing tactics by determining the influence of various channels, campaigns, and interactions on customer decisions. Data Monetization By leveraging ID-graphs, especially publishers and retailers can significantly boost their revenue from advertising and data monetization services. The ability to provide precise targeting, enriched audience segments, and accurate attribution not only enhances the value of their advertising inventory but also opens new revenue streams through data licensing for audiences or data collaboration with advertisers.