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Customer 360: How CIS Enables a Holistic Customer View (2024 Report) Introduction: The Customer Data Deluge - Navigating with CIS In today's data-driven world, businesses are drowning in a sea of customer information. Names, preferences, purchase histories - the volume is staggering. But what truly separates successful companies is the ability to transform this data into actionable insights. This is where the Customer Information System (CIS) Market comes into play, experiencing explosive growth as businesses seek to unlock the power of a unified customer view. Highlight a Key Statistic: Open with a compelling statistic about the market size (e.g., "The global CIS Market reached a staggering US$XX Billion in 2023") or a growth projection (e.g., "Grand View Research predicts the market to reach US$YY Billion by 2030, reflecting a CAGR of ZZ%"). Driving Forces: Briefly explain the factors propelling the CIS Market forward. Mention the growing need for customer centricity, rising competition, and the increasing adoption of cloud-based solutions. Benefits of CIS: Briefly outline the key benefits of implementing a CIS. This could include improved customer service, personalized marketing campaigns, enhanced customer loyalty, and data-driven decision making. Report Focus: Briefly outline the report's structure and key areas of examination. Will you be exploring specific industry applications, regional trends, or future advancements in CIS technology? A Compelling Conclusion: End the introduction with a captivating statement that leaves the reader eager to delve deeper. Emphasize the importance of CIS in today's competitive landscape or pose a thought-provoking question about the future of the market. 𝐂𝐥𝐢𝐜𝐤 𝐇𝐞𝐫𝐞, 𝐓𝐨 𝐆𝐞𝐭 𝐅𝐫𝐞𝐞 𝐒𝐚𝐦𝐩𝐥𝐞 𝐑𝐞𝐩𝐨𝐫𝐭 https://lnkd.in/dS5A3AwC Market Segmentations: Global Customer Information System (CIS) Market: #ByCompany Oracle SAP Itineris Hansen Fluentgrid Limited Open International Gentrack Ltd (Global) Milestone Technologies, Inc. Cayenta Advanced Utility Systems Engineering Group Indra Ferranti Computer Systems Northstar Utilities Vertexone IBM Global Customer Information System (CIS) Market: #ByType Cloud Customer Information System On-premises Customer Information System Global Customer Information System (CIS) Market: #ByApplication BFSI IT and Telecommunications Retail and eCommerce Government Energy and Utilities Others Stringent Datalytics #CISGrowth #DataDrivenBusiness #CustomerExperience #FutureofCustomerData #DataManagement #OmnichannelMarketing #CustomerEngagement #CustomerAnalytics

💡 Did you know that 86% of customers are willing to pay more for a better customer experience? In a world where customer expectations are skyrocketing, data analytics has become the secret weapon to meeting—and exceeding—those demands. But how exactly does data analytics shape the customer journey? Let’s break it down: 🔍 Understanding Customer Behavior Every interaction a customer has with your brand leaves a data trail. By analyzing this data, businesses can gain deep insights into customer preferences, pain points, and behavior patterns. Whether it's through web analytics, CRM systems, or social media monitoring, these insights help companies anticipate customer needs and tailor their services accordingly. 🎯 Personalization at Scale One-size-fits-all is a thing of the past. Today’s customers expect personalized experiences, and data analytics makes that possible. By segmenting customers based on their behavior, purchase history, and preferences, companies can deliver targeted marketing campaigns and product recommendations that resonate with each individual. Think about how Netflix suggests shows you might like—it's all powered by data. 🔮 Predictive Analytics: Staying Ahead of the Curve What if you could predict what your customers want before they even know it themselves? With predictive modeling, businesses can do just that. By analyzing past behaviors and trends, companies can anticipate customer needs, reduce churn, and increase satisfaction. Imagine knowing exactly when a customer might be ready for an upgrade or a new product—data makes that possible. 🛠 Real-World Applications Netflix, Amazon, and countless other companies have leveraged data analytics to create personalized, seamless experiences that keep customers coming back. Whether it’s through recommendation engines, A/B testing, or customer journey mapping, the possibilities are endless. ⚠️ Challenges and Considerations Of course, with great power comes great responsibility. As we harness data to enhance customer experiences, it's crucial to maintain customer trust by ensuring data privacy and security. Ethical data usage isn't just a buzzword—it's a cornerstone of sustainable customer relationships. 🚀 Looking Ahead The future of customer experience is bright, with emerging trends like AI-driven customer service and real-time personalization on the horizon. The companies that will thrive are those that continue to innovate and leverage data to meet—and exceed—customer expectations. I want to hear from you: How is your company using data to improve customer experience? What challenges have you faced, and how did you overcome them? Let’s discuss in the comments! 💬 👇

From Hype to Hyper-Personalization: Demystifying Predictive Customer Analytics In the age of big data, businesses are drowning in information. But what if you could harness this data to see into the future? Predictive customer analytics (PCA) is like having a crystal ball for your customer base. PCA uses historical data, statistical modeling, and machine learning to predict customer behavior. Imagine knowing which customers are likely to churn (cancel their service) or which ones are high-value prospects ripe for upselling. The Power of Prediction PCA unlocks a treasure trove of possibilities: 1. Reduced Customer Churn: Identify customers at risk of leaving and proactively address their concerns with personalized offers or support. 2. Increased Customer Lifetime Value: Pinpoint your most valuable customers and tailor experiences to maximize their spending and loyalty. 3. Targeted Marketing & Sales: Reach the right customers with the right message at the right time. Stop wasting resources on generic campaigns. 4. Personalized Product Recommendations: Predict what products or services a customer might need and recommend them proactively, creating a more satisfying experience. Beyond the Buzzword PCA isn't magic. Here's what you need to know: a. Data is King (and Queen): The accuracy of your predictions hinges on the quality and quantity of your customer data. Garbage in, garbage out! b. It's Not Mind Reading: PCA predicts probabilities, not certainties. Use it as a guide, not a gospel. Action is Key: Don't just collect data; use it! Develop strategies to act on your predictions and improve customer outcomes. The Future of Customer Centricity PCA is revolutionizing the way businesses interact with customers. As data collection and analytics become ever more sophisticated, we can expect hyper-personalization to become the norm. Imagine a world where every interaction with a brand feels designed just for you. Ready to Embrace the Predictive Future? PCA isn't just for tech giants. Businesses of all sizes can benefit from this powerful tool. By implementing a data-driven approach and focusing on customer needs, you can unlock a new era of customer engagement and loyalty. Read more: https://lnkd.in/dBpy4_5B

𝐂𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐉𝐨𝐮𝐫𝐧𝐞𝐲 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐌𝐚𝐫𝐤𝐞𝐭 𝐢𝐬 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐞𝐝 𝐭𝐨 𝐑𝐞𝐚𝐜𝐡 𝐀𝐭 $𝟒𝟕.𝟎𝟒 𝐁𝐢𝐥𝐥𝐢𝐨𝐧 𝐃𝐨𝐰𝐧𝐥𝐨𝐚𝐝 𝐅𝐑𝐄𝐄 𝐬𝐚𝐦𝐩𝐥𝐞 𝐏𝐃𝐅 𝐫𝐞𝐩𝐨𝐫𝐭: https://lnkd.in/dimhG46Z According to Next Move Strategy Consulting, the 𝐂𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐉𝐨𝐮𝐫𝐧𝐞𝐲 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐦𝐚𝐫𝐤𝐞𝐭 size is predicted to reach 𝐔𝐒𝐃 𝟒𝟕.𝟎𝟒 𝐛𝐢𝐥𝐥𝐢𝐨𝐧 with a 𝐂𝐀𝐆𝐑 𝐨𝐟 𝟏𝟗.𝟔𝟒% till 2030. The global customer journey analytics market is segmented on the basis of component, deployment type, data source, application, end user, and geography. By component, the market is classified into solutions and services. By deployment type, it is segmented into on-premise and cloud. On the basis of data source, it is categorized into web, mobile, email, social media, store & call center, and others. On the basis of application, it is divided into brand & campaign management, customer behavioral analysis & churn management, customer experience management, customer segmentation & targeting, and product management & others. By end user, it is divided into BFSI, IT & telecom, healthcare, retail & e-commerce, government & defense, media & entertainment, manufacturing, and others. North America dominates the global customer journey analytics market and is potently expected to remain dominant in the market throughout the forecast period. This is attributed to the rise in adoption of digital communication channels by businesses in the region, which has resulted in generation of vast amount of customer data. The customer journey analytics market includes several market players such as Oracle, Adobe, Acxiom, Salesforce, NICE, Quadient, sap server , Microsoft, Amperity, Google, Cisco, Teradata, Verint, GeneSYS Telecommunications Limited, and Kitewheel. These market players are adopting various strategies such as product launch and collaboration to maintain their dominance in the global customer journey analytics market. #customerjourneyanalytics #markettrends #globalinsights #globaltrends #marketgrowth #marketstrategy #marketinsights #marketstrategy 

🚀 𝗨𝗻𝗹𝗼𝗰𝗸𝗶𝗻𝗴 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗘𝗻𝗴𝗮𝗴𝗲𝗺𝗲𝗻𝘁: 𝗛𝗼𝘄 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗘𝗺𝗽𝗼𝘄𝗲𝗿𝘀 𝗗𝟮𝗖 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 In today's digital-first world, Direct-to-Consumer (D2C) companies are revolutionizing how brands connect with customers. But in a competitive landscape, offering great products isn’t enough—personalized, data-driven customer engagement is key to success. 🔍 Why Data Analytics Matters: Data analytics is the backbone of modern D2C strategies. By analyzing customer behavior, preferences, and purchasing patterns, D2C companies can: Segment Customers: Tailor marketing and product offerings to specific customer groups, increasing relevance and engagement. Predict Future Behavior: Use historical data to anticipate customer needs, allowing for personalized recommendations and proactive marketing. Personalize in Real-Time: Deliver timely, customized experiences that resonate with individual customers, boosting satisfaction and loyalty. 💡 Enhancing Customer Experience: Data analytics doesn’t just help with marketing; it transforms the entire customer journey: Product Development: Align products with customer needs by analyzing feedback and trends. Streamlined Journeys: Identify and fix pain points in the customer journey for a seamless experience. Sentiment Analysis: Monitor and respond to customer emotions and opinions, fostering positive relationships. Proactive Support: Anticipate issues and resolve them before they impact the customer experience. 📈 Driving Growth with Data: Optimized operations are crucial for scaling: Marketing ROI: Refine campaigns based on data-driven insights to maximize impact. Pricing Strategies: Analyze market dynamics and customer behavior to set competitive prices. Inventory Management: Predict demand accurately to maintain optimal stock levels. Customer Lifetime Value (CLV): Focus on high-value customers to drive long-term growth. At the heart of successful D2C strategies is a data-driven culture. By integrating analytics across the business, D2C companies can outpace competitors, build lasting customer relationships, and achieve sustainable growth. Ready to harness the power of data? Let’s connect and discuss how data analytics can transform your D2C strategy! #DataAnalytics #D2C #CustomerEngagement #BusinessGrowth #DigitalTransformation

We have the 5 Forces of Competitive Strategy -- but what about the 5 Forces of Customer Experience? They're related: (1) CX strategy is a competitive strategy, and (2) the place to start is to situate yourself in context - your competitors, dynamics, rationality, buyers, sellers, etc. This is a way to answer the question: "Where do I start when building a customer data & tech strategy?" For my new book "Customer 360," written with Andrea Lin, I propose this new 5 Forces of Customer Experience framework. The forces pivot around two axes: ->> The Business -- from the inside out, the ways you reach customers and the specifics of your technology stack. Front End --> Back End. ->> The Environment -- from the outside in, considerations are customer expectations and the realities of your world (laws, budgets, etc.). Inside (Customer) World --> Outside World. And finally, right in the middle, is: ->> The Data -- data as an asset and its limitations Now clockwise from the top: (1) Touchpoints - How do you reach customers, literally? There aren't all that many ways: websites, apps, messaging, ads. Channels of choice are dictated by what you offer - that is, your internal capacity to support the touchpoint - and consumers' preferences. (2) Expectations - What do consumers in your industry expect? This can be derived from competitive intel, syndicated research, testing. Customers bring assumptions to their interactions with you, set by their own #Disneyland, and you ignore these at your peril. (3) Environment - What are outside factors that impact your business? This force makes life interesting but forecasting difficult. Of course it affects competitors too, but you're in a different position to respond, either better or worse. Included here are the economy, politics, regulation, sentiment, even weather, which is changing everything. (4) Technology - What technology is available, and what can you use? The tech picture includes your existing (legacy) tech stack and contracts, and also what is available - state-of-the-art - and what you might use. Also your particular organization's ability to make use of said tech, which is a gate. (5) Access - What customer/account data do you have and how available is it? We all know the importance of customer data, esp. 1st party and Zero party, in the Customer 360 - but to be useful it must be accessible. How do we calculate Access? Voila the 3 Sub-Forces of Customer Data Access: ->> Availability - What data exists? Is it organized for use, e.g., using a #CDP like Salesforce Data Cloud? ->> Authority - What permission do you have to use it? This reflects rights as well as expectations. ->> Authenticity - How accurate and timely is the data? Inaccurate data is actually worse than no data at all for obvious reasons. For more on this - and many related topics - pre-order a copy of "Customer 360" from Amazon today at the link in the comments.

Excited to announce that Castled is partnering with Mitzu.io to create the first-ever warehouse-native retention and analytics engine for large B2C brands. 𝐓𝐡𝐞 𝐏𝐫𝐨𝐛𝐥𝐞𝐦 B2C brands store vast amounts of customer data in their cloud data warehouses, which they need to leverage to solve their retention and product analytics use cases. Currently, this process involves shuffling hundreds of millions of data points across your DWH, customer engagement tools, and product analytics platforms, leading to four major issues: 𝐃𝐚𝐭𝐚 𝐒𝐢𝐥𝐨𝐬: Traditional customer engagement and product analytics platforms operate in isolation, preventing a unified view of your customers for product and marketing teams. 𝐒𝐤𝐲𝐫𝐨𝐜𝐤𝐞𝐭𝐢𝐧𝐠 𝐂𝐨𝐬𝐭𝐬: These platforms charge based on the volume of data points ingested, causing costs to skyrocket as data consumption increases. 𝐋𝐢𝐦𝐢𝐭𝐞𝐝 𝐃𝐚𝐭𝐚 𝐔𝐬𝐞: Often, only a fraction of your customer data in DWH is used for retention and analytics purposes, leaving valuable customer insights untapped. 𝐋𝐞𝐚𝐤𝐲 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬: Data pipelines are often error-prone and cause delays, resulting in a suboptimal customer experience. 𝐓𝐡𝐞 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: 𝐂𝐚𝐬𝐭𝐥𝐞𝐝 + 𝐌𝐢𝐭𝐳𝐮 With Castled + Mitzu, your customer data never leaves your data warehouse. 𝐔𝐬𝐞 𝐂𝐚𝐬𝐞: 1) Analyse user behaviour and create granular cohorts, such as churning users, in Mitzu.  1) Send these cohorts to Castled for engagement across multiple channels like email, SMS, WhatsApp, push notifications, and in-app messaging All without copying a single piece of data right where your data lives.

🌐 The Power of a Customer Data Platform: Unlocking Value Across Every Interaction. In today’s digital-first world, delivering personalized and seamless experiences has become a key differentiator for businesses. This is where a Customer Data Platform (CDP) truly shines, bridging the gap between data and actionable insights to help brands connect with customers on a more meaningful level. What is a CDP? A CDP is a central hub that collects, unifies, and organizes customer data from various sources—web, mobile, CRM, social media, and more. Unlike traditional data management systems, CDPs build a real-time, 360-degree view of each customer, allowing teams across marketing, sales, and support to access consistent and comprehensive customer profiles. Why Does it Matter? Here are a few reasons CDPs are transforming the customer experience: 1️⃣ Personalised Engagement: By connecting disparate data points, CDPs enable businesses to tailor messaging, product recommendations, and content, creating a truly individualized experience. 🤝 🤝 2️⃣ Improved Customer Insights: CDPs provide deep insights into customer behaviors and preferences, helping teams identify patterns and predict future needs. ✅ 🛠️ 3️⃣ Data-Driven Decisions: With all customer data aggregated in one platform, decision-makers can leverage AI and analytics to make informed choices based on accurate, up-to-the-minute information. 📈 📊 4️⃣ Efficiency Across Departments: A CDP centralizes data, eliminating silos and ensuring that every department operates with the same knowledge of each customer, improving collaboration and alignment. 💥 🌈 Looking Ahead As data privacy regulations grow more stringent, CDPs also play a crucial role in maintaining compliance, giving customers control over their data while enabling brands to build trust. Investing in a robust CDP isn’t just about managing data—it's about transforming how we engage with customers and enhance their journey at every step. In an era where experience is the new brand currency, leveraging CDPs effectively could be the competitive edge every business needs. 💡 What are your thoughts on CDPs? Are you already leveraging one in your organization? Let’s discuss! #CustomerDataPlatform #CDP #DigitalTransformation #CustomerExperience #DataDriven #Personalization #MarketingTech #CX #CMO #CDO #Brands