Hello. Very good morning. So this is Lakshmi RN gta. I'm working in the Starbucks as a senior data engineer. So today we are going to talk about hyper personalization, transforming digital experience through advanced data analytics and ai. So the, firstly, the hyper personalization represent a paradigm shift in customer experience operating on the principle of dynamic identity recognition. So the concept that consumer preferences exist in constant contextual facts rather than their fixed attributes. So this approach leverages real time data analytics, AI and mission learning to deliver precisely tailored experiences. Organizations implementing hyper personalization strategies achieve substantial improvements in conversation rates, customer retention and operational efficiencies through algorithm architecture. President engagement systems and signal intelligence ecosystems. So the inquiry demonstrates how organization es incognitive computing frameworks, multi-dimensional attribution attribute systems and privacy, enhancing computation to balance improved customer experiences with ethical consideration and. Ultimately achieving this measurable business value to more precise targeting, enhanced customer journeys, and strengthen relationship durability. Okay, next the next we'll go with what the concept framework. The the very first thing is algorithm edition architecture. So the Salesforce customer 360 platform processes, 80 plus billion AI predictions dialed through algorithmic edition architecture where AI systems continuously recalibrate customer interactions based on micro feedback loops. These clients there 20% in conversation rates and 27% higher average order values. Hardwar Business School research identifies four pillars underlying this transformation. Integrated data ecosystems, talent hybridization, ethical governance, and continuous experimentation. Companies expecting these characteristic percent higher shareholder returns by fundamentally changing how decisions propagate through organizations. Okay, and the next one is the precision engagement systems. A prominent software companies experience platform employs computational contextualization process in environmental, behavioral, and historical variable simultaneously explaining how a pharmaceutical company achieved 8% higher perception earlier and through. Patient specific adopt to messaging organizations with unified customer data platforms achieved personalization maturity scores 2.8 times higher than fragmented architectures by ably cross contextual consistency across touch points. And the next one, the mechanism based value creation. A streaming services recommendation system influence 75% of the content stream through preference cascade modeling. So the tracking, how initial choices create ripple defects across the preference I heard is, so this explains there 90% retention rate work, 8.5 billion annually as a system minimizes such friction while maintaining perceived choice anatomy. An e-commerce company applies elastically fingerprinting, identifying unique price sensitivity patterns at individual levels, explaining their 28% increase card conversation as prices aligned with the individual willingness to pay thresholds. A digital audio platform utilizes a multimodal preference interference to extract insight from seemingly unrelated behaviors. Driving 3.0 times higher customer engagement through computing relevance effects where each person's interaction increases the accuracy of subsequent experiences. The financial institutions develop financial behavior, twins as simulations of individual making, explaining why organization transitioning to AI has a core competency, realize. 22% operational efficiency by preemptively addressing like service needs. So retailers, employees behavior compounding. Understanding how past packages create future poten propensities expanding at 24% increase in digital sales by targeting micro edition points where purchase in trends, intent criticizes. Healthcare provides, implement behavior notes architecture in identifying psychological barriers to optimal health behaviors. How one consortium user reduce appointment no shows by 30% through contextual amplification where AI identifies factor overlooked in the standard protocols. Okay, next. We'll go with technical. What is that? What is the technical infra infrastructure of this one? The technical foundation of hyper personation relies on sophisticated signal intelligence ecosystems, so it is integrated framework that collect process and activate data in real time, enabling genuine individualization beyond traditional segmentation approaches. And then in here the first one is multi-source data orchestration. The foundation layer employs the Signal Fusion architecture systematically integrating heterogeneous data systems to create comprehensive customer understanding. The Twilio segments research across 3,450 business leaders found that made sure organization collective data for data from 6.2 different sources versus. 2.34 less sophisticated ones. This multi-source approach enable enables dimensional identity resolution, connecting fragmented customer interactions into coherent profiles. A leading beauty a leading beauty retailer implemented this concept by capturing 80 distinct behavioral signal through its loyalty program, increasing repeat purchases rates by 65% through more accurate preference recognition. While 65% of organization reduce third party cookie dependencies dependence, 72% increase investments in privacy, compliment, complement alternatives. Those successfully navigating this transition achieve 75% higher satisfaction scores through consent based intelligence framework that respect privacy preferences while maintaining personalization quality. And the next one is like real time processing frameworks. So this real time processing framework, the automation implement contextual trigger systems that respond immediate situational factors, each archive. Two x the higher response rates. This reflects the concept of movement, relevant computing, delivering experiences at precise decision points. A financial services company applies this by processing location data and transition history by context advice, increasing mobile engagement by 35% through timely interventions. So data integration is challenging with 83% of organizations. Say setting it as their primary obstacle. The healthcare leader, unified data architecture, centralizing 70 plus data sources and reducing preparation time from weeks to hours, improving medication a by 25% through more timely interventions. And then the algorithmic, the next layer is algorithmic intelligence layer. The machine learning forms that the core intelligence layer with companies implementing advanced ML reporting a 35% average increase in conversion rates. This reflects a concept of algorithmic vision optimization, continuously improving choice architecture. Through automated experimentation. A media company employs 16 distinct ML models contributing to a 12%. Increase in per guest spending through what experts call experience orchestration, coordinating multiple personalization dimensions simultaneously. Deep planning models enable pattern recognition at scale with organization implementing these capabilities, achieving 2.5 x higher engagement rates, digital audio platforms, neural networks, process. Acoustic futures to create recommendations reducing churn by 20% through preference prediction, understanding future desserts before customers recognize themselves. Okay, and next real time implementation strategies. So by transforming data insights into personalized experiences requires latency optimized delivery systems. So the framework, it was that minimized the gap between signal detection and experience delivery according to head sales softwares analysis of 500 plus marketing initiatives, organizations implementing real time personalization achieve 35% higher conversation rates through the what exports term? Temporal romance maximization. So delivering content precisely well, customer. Receptively peaks, companies with a major capabilities deliver experiences within 1.8 seconds of trigger during event versus industry averages exceeding 10 seconds capitalizes. In on the attention decay principle. The concept that personalization effectiveness diminishes exponentially with the delay, the out of strategies. The first one is. The content orchestration systems. So the Dynamic Content Assembly represent the most visible implementation access aspect. Employing modular content architecture, so breaking experiences into independently personalized components and charges. Analysis of 18 1 18 50 Growth Market has found that companies with sophisticated delivery infrastructures experience. 28% higher engagement rates through contextual context adaption, automatically adjusting message string based on situational factors. A hotel chains implementation enables personalized delivery across 18 brands through identity anchored experiences, maintaining consistent recognition, and despite fragmented customer journeys. So this approach yields a 25% improvement in direct booking rates by employing distribution channel optimization intelligently steering customers toward warn booking parts. And the next one, adoptive pricing systems. So this dynamic pricing mechanisms optimize offers through willingness to pay elastically model. So determining. Individual price and security thresholds, companies implementing AI driven pricing experience outage revenue increases of 10% by addressing the perception of succession value gap, aligning prices, individual value perception, and airline realtime engine analyzes millions software combinations daily. So incorporating one 50 plus variables to improve eel management by 6% through demand forecasting position. Accurately predicting fluctuations in travel intent. A retail corporation address 1.2 plus million price points daily, improving margin by 1.8% points while increasing market share by 3.0 points through competitive response. Elastically, understanding how specific customer segments react to competitor pricing. The next one, the cross channel experience architecture. This de the consistently experiences across touch points through cross contextual identity resolution, the maintaining recognition as customers travels, channels, organizations achieving this capability report customer lifetime values, 2.5 times higher than those who those with fragmented approaches. A department store chains unified framework maintenance profiles for 43 million customers. Reconciling identify ident identities across eight plus channels with 90% accuracy, increasing repeat purchase rates by 30% through friction elimination, removing barriers created by disjointed experiences. And the next one, decision system. The real time interaction management systems like Millisecond Edition about optimal content through edition velocity architecture. The frameworks optimized for speed critical choices. Organizations implementing these capabilities achieved 2.8 x higher marketing, ROI. So the next one, next topic is advanced AI applications. So by using ai artificial intelligence has fundamentally transformed personalization capabilities through cognitive computing frameworks. The systems that stim simulate human taught process to anticipate needs and preferences according to tech novio market analysis, the global. AI-based personalization market is projected to grow by 7.43 USD billion from 2025 to 2029 with a c year of 23%. The growth reflects the transition from rules rule-based personalization to autonomous welding systems capable of continuous self-improvement. Next first one is like anticipatory intelligence. The Medallia research shows organizations implementing sophisticated forecasting achieve a 30% reduction acquisition cost through precision targeting, efficiency, eliminating wasted expenditure on low probability conversa conversions. The financial services corporation analyzes approximately $1.2 trillion in annual transaction using models. Incorporating 8,000 plus variables per customer predicting churn with 92% accuracy. Eight. Tele communications companies implementation s 7,000 plus customer attributes in the real time through attribute correlation discovery. Identifying obvious relationship between seemingly unrelated variables. This increased camp time response rates by 35% by addressing micro movement perceptivity ly matching efforts to psychological states where customers are most receptive. Value intelligence. The lifetime value forecasting enables pre organization through future value projection, allocating resources based on potential, rather that historical value. So companies implementing AI driven CLB forecasting achieve a 25% increase in high value tension through precision investment allocation, optimizing resources towards highest written relationships. A coffeehouse company's platform analyzes 400 plus billion data points annually through consumption pattern modeling, identifying subscale. It signals that predict spending trajectory. This approach increased high value retention by 15% by enabling preemptive value protection, addressing satisfaction risk before the impact behavior. So the next one is linguistic intelligence. So the natural language processing enables unprecedented customer understanding through semantic intent extraction, describing meaning beyond literal expression. Organizations implementing NLP powered personalization achieve 38% higher satisfaction scores through conversational context preservation preservation. Maintaining understanding across fragmented interaction. Voice recognition systems enable personalized experiences through local identity verification, authenticating users through unique speech PLA patterns, a bank's voice biometrics, authenticates 4.7 million customers monthly with 95% accuracy through multifactor local analysis. Examining over a hundred speech characteristics simultaneously. This reduce handling time by saving $25 million annually through friction minimized authentication, eliminating cumbersome verification process. Next one, emotional intelligence. Sentiment detection systems represents an emerging front tide through effective computing. So the technologies that recognize and respond to human emotions, companies implementing emotion detection achieve net prompter scores 18 points higher by addressing emotional context misalignments, that disconnect between customer emotional states and generic responses. Next privacy and ethical consideration. As personalization capabilities advanced or the organizations much navigate the trust utility tension. So the balancing enhanced experiences with the privacy protection seven production, 75% of consumers express concern about data usage with a 40% reporting avoiding brands due to privacy issues. The study identified the personalization paradox. Consumer simultaneously desired pilot experiences while expressing anxiety about the about the necessary data collection, creating a fundamental challenge for implementation. So here the first two are, first one is trust based governance. The organization now. With the average of 5.2 distinct privacy regulations with multinational enterprises navigating more than 14 separate frameworks. This regulatory complexity has catalyzed the concept of privacy by design and embedding protection mechanisms into system architecture rather than applying them react retroactively. So in the United States, so 70% of the companies have restructured process for CCPA, CPRA through jurisdictional personalization frameworks. Geographically specific approach organizations with prior to compliance issue, 35% higher trust scores transfer through transparency, first design, prioritizing clear communication about data practices. The next one is geographic privacy adoption. The regional compliance architecture addresses international to via variation through regulatory localization, adopting data practices to geographic requirements. According to George, mark mark, 68% of global enterprise have implemented specific frameworks for different regions and American technology companies app. Tracking transparency fundamentally altered the landscape with only 18% of users opting into tracking this prompt of the customer goods corporation to develop first party data transformation strategies, systematically replacing third party data with consent tech direct relationships. So the next ethical AI systems, so explainable AI approaches make decisions transfer. Interpretability mechanisms translating complex algorithms decisions into understandable explanations. So organizations implementing these frameworks issue trust codes 50% higher than those with OPAC systems. The bank developed narrative narrative explanation, generation for recommendation systems, increasing acceptance rates by 30% through comprehension gap resolution, addressing customer uncertainty about recommendation reasoning. Their approach creates 18,000 plus unique explanation combinations through decision logic transition, converting mathematical models into natural language. I. So next inclusive design, the organizations implementing formal methodologists achieve the 40% higher satisfaction among diverse segment segments through demogra demographic performance parity, maintaining consists quality regardless of user characteristics. The LinkedIn fairness toolkit reduce gender by asked by 12% through counterfactual testing, evaluating outcomes when only protected characteristics, chance. Their approach includes validation across 27 dimensions, increasing diverse applications rates through accessibility, enhanced personalization, adoptive experiences for users with different abilities and needs. Next, privacy preventing technologies. So the organizations implementing these techniques achieve 35% higher, 35% higher trust scores through data minimization architecture. So using only essential information for specific purposes. If finance purposes, if finance companies. Differential privacy implementation, reducing privacy risk by 70% while maintaining recommendation ance within 5% of non-private baseless through privacy utility optimization. Finding the ideal balance between protection and personalization. There are three methodologies. Guiding adoption includes federal learning, the 45% of organizations. Dis distributing computation across devices to avoid centralizing sensitive data. Differential privacy. These are 40% data of adoption, adding calibrated noise to protect individuals while maintaining a aggregate insights on device processing. Which is 60% adoption. So keeping personal data on user devices through edge computing personalization Next. The ROM measurement and business impact. So the quantifying the business impact of ization requires the attribution intelligence frameworks, so sophisticated measurements, approaches that isolate true value creation. So according to according to apps Flyer organization implementing advanced frameworks achieve 35% highend marketing our way through signal isolation methodology. So distinguishing personalization effects from background conversation noise, the customer journeys now span off average of 7.3, touch points across 4.2 distinct cha distinct channels, creating what experts term attribution complexity, the challenge of accurately crediting influence across fragmented interactions. There is a different industries. We have several impact on this. The first one is financial services impacts. So it has four 24% higher conversion rights through targeted financial product recommendations and personalized financial guidance. So the next for retail Go, if you see the retail growth, so which is increased, like 20% increased purchase, got increased frequently frequency through customer specific product offerings and pilot shopping experiences. So if you, if we can see like travel industry, so it increased 25, 20 6% higher bookings values through destination specific offers and personation travel packages. Then attribution attribution intelligence, so that what was measurement frameworks yield 35% or 35% higher marketing our way through signal isolation methodology. So distinguishing personalization effects from black room conversion noise. So next the measurement architecture models. So here out of this, like the first one is multidimensional attribution. So the multidimensional attribution systems provide visibility into conversion influences through touchpoint valuation, modeling, assigning proportional credit across customer journey stages. BGS 2024, global Consumer personalization Survey. Indicates organizations implementing sophisticated attri attribution models achieved return 2.5 times higher than basic approaches through casualty identification. So the dis distinction, correlation from true influence, the multitask attribution frameworks enable friction conversion, credit dividing value, cross contributing touchpoint based on influence magnitude. So this provides. Visibility into three times more conversion influences than lost touch models by solving the terminal bias problem. Overvaluing the final interaction while ignoring earlier influences. So the next one, the casual validation frameworks. So incrementally the testing incrementally incrementality testing provides the rigorous validation through control, experimentation, design. The measuring lift again, as true control groups, companies implementing systematic testing achieve RA 3.2 times higher than correlation based measurement By addressing attribution inflation incorrectly climbing credit for conversation conversions that would occur naturally. A coffeehouse company conducts more 400 incrementally incre tests annually demonstrating. Personalized recommendations yield 2.5 x higher conversion rates contributing to a 5% increase in same store. 5% increase in the same store sales through preference match discovery. Connecting customers with our previously previously unconsented option organizations typically identify that 25 per 25 to 38% of conversions. Previously contributed to marketing would occur ar organically revealing significant investment optimization opportunities through more accurate measurements. Next the customer journey in intelligence, the customer journeys now span an average of 7.3 touch points across 4.2 distinct channels. The creating what experts term attribution complexity. The challenge of accurately accurately creating influence across fragmented interactions. Organizations with comprehensive measurement achieve outcomes 2.8 times higher than those with limited metrics. The generally analytics frameworks, the gene based gene based attribution identifies 28% more conversion influences than traditional models by solving the interaction F blindness. Failing to recognize how touch points amplify each other. An insurance company tracks over eight 50 distinct journey patterns, increasing personalized comp com completion rates by 25% through friction point personalization, the targeting interventions at abundant pr. Organizations with comprehensive measurements achieve outcomes 2.8 times higher than those who limited metrics through holistic impact visibility, understanding effects beyond immediate immediate conversion. Next the relationship value architecture, so the customer lifetime value, if frameworks measures long-term impact through relationship durability modeling quantifying how the personalization sentence the customer connections BCG found that eight 68% of consumers develop stronger brand loyalty when receiving consistently personalized experiences with 60% willing to pay premium prices. Relationship impact presents the most significant value driver with the long-term loyalty, contributing 2.3 times more lifetime value than initial conversation improvements through compounding preference, satisfaction, where each positive personalized interaction increases future receptivity. A beauty retailer measures 19 distinct relationship metrics, increasing customer return retention by 24% through loyalty, trigger identification, pinpointing specific personalization element that strengthen relationships. The next organization enable implement systems. GAR Nation implementing agile testing methodologies achieved to time to market three times faster through rapid learning cycles. Quickly interacting based on continuous feedback. The high performance conduct seven point seven, seven times more tests than low performance. By adopting experimental mindset cultivation, treating all First Nation as a hypothesis requiring validation, a financial services company developed 40 plus personalized journey. E 28% improved computation, completion rates through micro movement intervention design. Precisely targeting the points within complex per processes. Customers with hyper personal experiences demonstrates 2.2 x higher net pro prompter scores through x. Expectation, experience, alignment, closing gaps between customer hopes and actual experiences. So then see next we can see like how the future of hyper personalization. So it has a two point five x returns for organizations who, with the sophisticated attribution models and the 35% higher RY through at once attribution frameworks. And a 22% revenue uplift average across customer lifecycle. So the hyper personation has emerged as a critical competitive differentiator across industries. The fundamentally transforming how organizational engage with the customers through surface care, technology, access, and ai. Do what frameworks in as organization. Navigate the complex balance between enhanced experiences and privacy considerations. Those implementing comprehensive attribution frameworks, ethical AI governance, and the specialized organization structures demonstrate superior. Venous outcomes. So moving forward, the hyper robustness will continue evolving toward AM means indigenous with privacy, preserving technologies and cross-functional collaborations models by coming increasingly essential elements of successful customer engagement strategies that create measurable venous impact across the entire customer lifecycle. So the hyper personalization as emerged with the critical competitive differentiator across industries, fundamentally transforming how organization engage with the customers through sophisticated technology, extra and AI develop frameworks. The multi-factor value creation mechanisms underlying successful implementation from real-time data orchestration to relationship durability modeling. As organizations navigate the complex balance between enhanced experiences and privacy considerations, those implementing comprehensive attribution frameworks framework ethical AI governance and specialized organization structures, demonstrate superior business outcomes. The article highlights how concepts lie. Preference Cascade modeling, conceptual trigger systems and privacy by design. Frameworks create sub sustainable comp competitive advances through a improved customer understanding and experience delivery. Moving forward, the hyper person will continue evolve toward ambient intelligence with the privacy preserving technologies and cross-functional cross-functional collaborative use. Now collaboration modeling becoming increasingly essential when Microsoft successful customer engagement strategies that create measurable business impact across the entire customer life cycle. So that's how about the hyper personization. So thank you. Thanks for giving you this opportunity.