-Personalization for websites.
-This presentation helps to understand the various components and concepts involved in personalization.
-Formulates certain approaches and strategies,in tuning-up personalization for websites.
-Explains on-site, real time, progressive personalization and related concepts.
-Understanding users on the basis of visitor, shopper and customer.
-Mapping user journey to personalization optimization.
This document discusses mobile marketing. It defines mobile marketing as marketing on mobile devices like smartphones, allowing location-sensitive personalized ads. It outlines the history from SMS to current push notifications and app-based ads. The document then describes how a company called Optimise tracks mobile activities across browsers, apps, and platforms using SDKs and IP matching. It lists the benefits of mobile marketing for advertisers and publishers and some challenges around privacy, security, and spam. Finally, it provides statistics on trends like mobile internet access surpassing desktop and time spent on mobile media exceeding other formats.
Google Analytics is a free web analytics service that provides statistics and analytical tools. It tracks data on user behavior, including sessions, users, pageviews, bounce rate, goals, and conversions. The document defines key Google Analytics terms and provides an overview of the Google Analytics interface and reporting features. It explains how to set up custom reports, dashboards, and segments. It also describes how to set up goals to track user conversions and customize campaigns to attribute traffic sources.
Gather relevant data about consumers and potential customers using content-ready Consumer Insights PowerPoint Presentation Slides. Go through the human behaviour trends and understand your clients better with the help of ready-made consumer insights PPT presentation templates. Get consumer insights from data, surveys, sales, focus groups, direct interviews, online data and more. Make informed decisions for your business using consumer insights PowerPoint presentation slideshow. This deck comprises of templates such as research methodology, consumer insight assumptions, key stats, data collection and processing, consumer insight capabilities, consumer insight components, tools for consumer insights, YouTube analytics, google trends, google analytics, and more. These templates are completely customizable. Edit colors, text, icon and font size as per your need. Add or remove content, if needed. Download consumer insights PPT templates to understand your customers better. Our Consumer Insights Powerpoint Presentation Slides team are a cooperative lot. They will respond to all your specifications.
Web analytics involves collecting data on visitor behavior on a website to analyze where visitors came from, what content they engaged with, and how the website experience can be improved. It provides key metrics like visits, pageviews, conversion rates, and referrers to understand traffic sources and optimize the site. Understanding web analytics helps businesses improve promotional campaigns, design effective websites, and increase revenue through higher conversions.
The document discusses various aspects of digital marketing. It begins by defining digital marketing and outlining some common digital marketing activities such as SEO, social media marketing, content marketing, and email marketing. It then discusses advantages such as the ability to reach a large audience at low cost, and limitations like dependence on internet access. The document also covers principles of marketing environment, drivers of the marketing environment, digital media industries, and ways to reach audiences through digital channels like learning about audience interests and using their language.
Digital Marketing for Lead Generation & SalesDigital Vidya
Interested in leveraging Digital Marketing to multiply your organizational revenue? You will find this deck on Digital Marketing for Lead Generation & Sales relevant and interesting. You can find about upcoming hands-on Digital Marketing trainings by Digital Vidya at http://www.digitalvidya.com
Google Analytics / Adwords Digital Marketing Presentation Katelyn Duckworth
This document provides an overview and agenda for a Google Analytics training session. It discusses setting up Google Analytics accounts and understanding key metrics like page views, visits, unique visitors, referrals, and bounce rates. It also covers how to use Google Analytics to improve marketing efforts by analyzing referral sources, campaigns, content pages, and optimizing for mobile and personalizing content. The document provides tips on using Google Analytics data to improve SEO, AdWords campaigns, and goal conversions. It emphasizes regularly optimizing campaigns based on analytics data.
This document discusses mobile marketing. It defines mobile marketing as marketing on mobile devices like smartphones, allowing location-sensitive personalized ads. It outlines the history from SMS to current push notifications and app-based ads. The document then describes how a company called Optimise tracks mobile activities across browsers, apps, and platforms using SDKs and IP matching. It lists the benefits of mobile marketing for advertisers and publishers and some challenges around privacy, security, and spam. Finally, it provides statistics on trends like mobile internet access surpassing desktop and time spent on mobile media exceeding other formats.
Google Analytics is a free web analytics service that provides statistics and analytical tools. It tracks data on user behavior, including sessions, users, pageviews, bounce rate, goals, and conversions. The document defines key Google Analytics terms and provides an overview of the Google Analytics interface and reporting features. It explains how to set up custom reports, dashboards, and segments. It also describes how to set up goals to track user conversions and customize campaigns to attribute traffic sources.
Gather relevant data about consumers and potential customers using content-ready Consumer Insights PowerPoint Presentation Slides. Go through the human behaviour trends and understand your clients better with the help of ready-made consumer insights PPT presentation templates. Get consumer insights from data, surveys, sales, focus groups, direct interviews, online data and more. Make informed decisions for your business using consumer insights PowerPoint presentation slideshow. This deck comprises of templates such as research methodology, consumer insight assumptions, key stats, data collection and processing, consumer insight capabilities, consumer insight components, tools for consumer insights, YouTube analytics, google trends, google analytics, and more. These templates are completely customizable. Edit colors, text, icon and font size as per your need. Add or remove content, if needed. Download consumer insights PPT templates to understand your customers better. Our Consumer Insights Powerpoint Presentation Slides team are a cooperative lot. They will respond to all your specifications.
Web analytics involves collecting data on visitor behavior on a website to analyze where visitors came from, what content they engaged with, and how the website experience can be improved. It provides key metrics like visits, pageviews, conversion rates, and referrers to understand traffic sources and optimize the site. Understanding web analytics helps businesses improve promotional campaigns, design effective websites, and increase revenue through higher conversions.
The document discusses various aspects of digital marketing. It begins by defining digital marketing and outlining some common digital marketing activities such as SEO, social media marketing, content marketing, and email marketing. It then discusses advantages such as the ability to reach a large audience at low cost, and limitations like dependence on internet access. The document also covers principles of marketing environment, drivers of the marketing environment, digital media industries, and ways to reach audiences through digital channels like learning about audience interests and using their language.
Digital Marketing for Lead Generation & SalesDigital Vidya
Interested in leveraging Digital Marketing to multiply your organizational revenue? You will find this deck on Digital Marketing for Lead Generation & Sales relevant and interesting. You can find about upcoming hands-on Digital Marketing trainings by Digital Vidya at http://www.digitalvidya.com
Google Analytics / Adwords Digital Marketing Presentation Katelyn Duckworth
This document provides an overview and agenda for a Google Analytics training session. It discusses setting up Google Analytics accounts and understanding key metrics like page views, visits, unique visitors, referrals, and bounce rates. It also covers how to use Google Analytics to improve marketing efforts by analyzing referral sources, campaigns, content pages, and optimizing for mobile and personalizing content. The document provides tips on using Google Analytics data to improve SEO, AdWords campaigns, and goal conversions. It emphasizes regularly optimizing campaigns based on analytics data.
This document discusses the use of artificial intelligence and chatbots in marketing. It outlines how chatbots can transform traditional sales and marketing funnels by allowing direct two-way conversations with customers. Examples are given of clothing and automotive brands using chatbots for personalized customer assistance and targeted campaigns. Statistics show growing markets for chatbots and their benefits across industries like e-commerce, insurance, and healthcare. The future potential of major companies developing chatbot technologies is also mentioned.
User experience issues -- Personalization vs. CustomizationVinay Mohanty
The difference between Personalization and Customization. Also explored are user experience issues with personalization. Case study of personalization features in GMail, Amazon, My Yahoo !
This document provides an overview of e-marketing, including its past, present, and future. In the past (Web 1.0), the internet was used to create and distribute content to consumers. Today (Web 2.0), the power has shifted to consumers, who produce and share content via social media. The future (Web 3.0) may include artificial intelligence and seamless social networking. The document also discusses e-marketing strategies, models, metrics and provides examples to illustrate concepts like balanced scorecards. It outlines the e-marketing planning process and types of plans like napkin plans and venture capital plans.
Web analytics is the process of analyzing visitor behavior on a website. It is used to measure web traffic, identify target markets, optimize marketing campaigns, and count visitors. The process involves defining goals, building key performance indicators, collecting data, analyzing the data, testing alternatives, and implementing changes. Critical metrics include visits, time on site, bounce rate, exit rate, conversion rate, and engagement. Web analytics works by tracking user activity via JavaScript and sending data to an analytics server for processing, storage, and reporting.
The book is NOW available for FREE till 23:59 IST TODAY.
Offer valid for first 100 clicks/buys.
ORDER LINK: http://amzn.to/2rxQfMN
AUTHOR LINK: www.avikbal.com/books
Best wishes for your online success.
Happy Reading. Delightful learning. Successful Practicing.
This document discusses segmentation strategies for creating profitable customers. It begins by renewing the understanding of why segmentation is important for driving higher profitability through understanding customer needs. It then discusses profiting through segmentation by understanding customers and developing targeting strategies. It emphasizes investing in tools, skills, and systems to operationalize segmentation. Finally, it stresses the importance of demonstrating segmentation strategies through testing, measurement, and gaining organizational buy-in to make segmentation efforts successful.
The e-commerce market in India is growing rapidly, with the number of internet users projected to reach 100 million by the end of 2011. The value of the Indian e-commerce market is approaching Rs. 46,000 crore with a yearly growth rate of 70%. Major companies like Walmart and Amazon are making moves into the Indian e-commerce space, which could significantly disrupt the existing market. Having an online presence and e-commerce website is becoming increasingly important for businesses to reach customers. Key considerations for businesses include whether their customers and competitors are online and if their products or services can be sold over the internet.
This document provides an overview of Google Analytics and how to use it to measure website traffic and goals. It discusses key metrics like pageviews, visits, traffic sources and conversions. It also covers how to set up tracking of goals and campaigns using techniques like link tagging and event tracking. The goal is to help users understand their website traffic and how to define business goals to improve performance.
Brief about how LinkedIn can be used as a B2B marketing & Lead Generation tool. I'm a freelancer, helping organizations increase their revenue by LinkedIn activities & high quality lead generation.
This document discusses customer segmentation and describes a customer needs-led segmentation approach. Traditional segmentation divides customers based on demographics but does not account for customer needs. The discussed approach identifies customer types based on their needs and priorities, defines successful customer outcomes, understands the customer lifecycle and preferred channels of engagement to develop new customer segments. Benefits of this approach include better customer insights, an aligned organization, efficient delivery, improved experience and increased revenue.
The Roles of Analytics in Digital MarketingT.S. Lim
An Introduction to Machine Learning. Boca Raton, FL: CRC Press, 1984.
Hartman, Kevin. Digital Analytics for Marketing Professionals: Marketing Analytics in Theory.
Coursera, n.d. https://www.coursera.org/learn/marketing-analytics/home/info.
Hartman, Kevin. Digital Analytics for Marketing Professionals: Marketing Analytics in Practice.
Coursera, n.d. https://www.coursera.org/learn/digital-analytics/home/info.
Kotler, Philip, and Gary Armstrong. Principles of Marketing. 15th ed. Upper Saddle River, NJ:
Prent
This document discusses the key factors affecting the growth and development of e-commerce. It identifies political, economic, social and technological factors as the main influencers. Political factors include government legislation and initiatives to support e-commerce. Economic factors incorporate the overall wealth and commercial health of a nation. Social factors involve things like education, income levels and lifestyle changes. Technological development, especially in information and communication technologies, is also a primary driver by making transactions more efficient.
The document discusses various electronic payment systems used for e-commerce transactions. It describes advantages and disadvantages of different systems including electronic cash, electronic wallets, smart cards, and credit cards. It provides details on how each system works, examples of implementations, and considerations regarding their adoption and success.
Five Talents has challenged a team to help the Mama Bahati Foundation (MBF) in Tanzania address security risks from transporting cash and assess options to incorporate mobile money. The team researched other Tanzanian MFIs' use of mobile money, evaluated the Musoni platform, and considered alternatives. They found that Musoni could help MBF securely disburse loans and collect repayments, though it may not reduce costs or ensure long-term sustainability on its own. Voluntary savings and loan associations (VSLAs) were identified as a potential complementary approach.
Web analytics involves collecting and analyzing digital data about user behavior on websites and mobile apps. It is important for measuring the effectiveness of marketing campaigns and ensuring websites meet their objectives, such as increasing sales for ecommerce sites. Google Analytics is a popular web analytics tool that tracks user data through a JavaScript code added to websites. It provides visualization tools and insights about key metrics like users, sessions, pageviews, bounce rate, and exit rate, broken down by dimensions such as channels, devices, and locations.
Ever wonder what SEO is and why it is important?
Check out this easy to understand presentation that breaksdown the SEO basics for the non techy business person.
Don't worry, there are lots of pictures...
Consumer behavior involves people's activities related to using goods and services. Consumer buying decisions are complex and influenced by culture, sociological factors, individual characteristics, product attributes, and the purchasing environment. Culture consists of values, attitudes, ideas and meanings shared by a group. It is learned and transmitted between generations. Social class is defined by income, occupation, and lifestyle, and influences consumption patterns. The socialization process teaches individuals the behaviors, values, and attitudes of their society through institutions like family, education, and religion. Reference groups determine aspirations and influence daily decisions through socialization, self-image development, and serving as teachers. Models of consumer behavior are developed through abstraction from real situations or by formulating general theories and applying them
Google analytic best website performance checker tool, get complete guide information on website with Google analytics tool for better results and for complete check on information.
1) The Parx brand owned by Raymond saw declining sales from 2012-2014 but then grew rapidly from 2015-2017 due to targeting millennials.
2) To attract millennials, Parx shifted to slimmer fits, casual styles, pop-up stores, and innovative supply models while closing unprofitable stores.
3) Parx also transitioned from traditional to digital marketing, launching college recruitment events and seasonal brand campaigns to engage millennials online.
AdWords: ottimizzazione, campagne potenziate e marchi registrati (WebReevolut...Chiara Francesca Storti
Google AdWords ed i tempi caldi del Forum GT presentati al Festival del Web Marketing - Roma 28 Giugno 2013 #WebReevolution
SERP e AdWords, campagne potenziate, bid con marchi registrati e normative vigenti, ottimizzazioni e successo delle campagna PPC.
This document discusses the use of artificial intelligence and chatbots in marketing. It outlines how chatbots can transform traditional sales and marketing funnels by allowing direct two-way conversations with customers. Examples are given of clothing and automotive brands using chatbots for personalized customer assistance and targeted campaigns. Statistics show growing markets for chatbots and their benefits across industries like e-commerce, insurance, and healthcare. The future potential of major companies developing chatbot technologies is also mentioned.
User experience issues -- Personalization vs. CustomizationVinay Mohanty
The difference between Personalization and Customization. Also explored are user experience issues with personalization. Case study of personalization features in GMail, Amazon, My Yahoo !
This document provides an overview of e-marketing, including its past, present, and future. In the past (Web 1.0), the internet was used to create and distribute content to consumers. Today (Web 2.0), the power has shifted to consumers, who produce and share content via social media. The future (Web 3.0) may include artificial intelligence and seamless social networking. The document also discusses e-marketing strategies, models, metrics and provides examples to illustrate concepts like balanced scorecards. It outlines the e-marketing planning process and types of plans like napkin plans and venture capital plans.
Web analytics is the process of analyzing visitor behavior on a website. It is used to measure web traffic, identify target markets, optimize marketing campaigns, and count visitors. The process involves defining goals, building key performance indicators, collecting data, analyzing the data, testing alternatives, and implementing changes. Critical metrics include visits, time on site, bounce rate, exit rate, conversion rate, and engagement. Web analytics works by tracking user activity via JavaScript and sending data to an analytics server for processing, storage, and reporting.
The book is NOW available for FREE till 23:59 IST TODAY.
Offer valid for first 100 clicks/buys.
ORDER LINK: http://amzn.to/2rxQfMN
AUTHOR LINK: www.avikbal.com/books
Best wishes for your online success.
Happy Reading. Delightful learning. Successful Practicing.
This document discusses segmentation strategies for creating profitable customers. It begins by renewing the understanding of why segmentation is important for driving higher profitability through understanding customer needs. It then discusses profiting through segmentation by understanding customers and developing targeting strategies. It emphasizes investing in tools, skills, and systems to operationalize segmentation. Finally, it stresses the importance of demonstrating segmentation strategies through testing, measurement, and gaining organizational buy-in to make segmentation efforts successful.
The e-commerce market in India is growing rapidly, with the number of internet users projected to reach 100 million by the end of 2011. The value of the Indian e-commerce market is approaching Rs. 46,000 crore with a yearly growth rate of 70%. Major companies like Walmart and Amazon are making moves into the Indian e-commerce space, which could significantly disrupt the existing market. Having an online presence and e-commerce website is becoming increasingly important for businesses to reach customers. Key considerations for businesses include whether their customers and competitors are online and if their products or services can be sold over the internet.
This document provides an overview of Google Analytics and how to use it to measure website traffic and goals. It discusses key metrics like pageviews, visits, traffic sources and conversions. It also covers how to set up tracking of goals and campaigns using techniques like link tagging and event tracking. The goal is to help users understand their website traffic and how to define business goals to improve performance.
Brief about how LinkedIn can be used as a B2B marketing & Lead Generation tool. I'm a freelancer, helping organizations increase their revenue by LinkedIn activities & high quality lead generation.
This document discusses customer segmentation and describes a customer needs-led segmentation approach. Traditional segmentation divides customers based on demographics but does not account for customer needs. The discussed approach identifies customer types based on their needs and priorities, defines successful customer outcomes, understands the customer lifecycle and preferred channels of engagement to develop new customer segments. Benefits of this approach include better customer insights, an aligned organization, efficient delivery, improved experience and increased revenue.
The Roles of Analytics in Digital MarketingT.S. Lim
An Introduction to Machine Learning. Boca Raton, FL: CRC Press, 1984.
Hartman, Kevin. Digital Analytics for Marketing Professionals: Marketing Analytics in Theory.
Coursera, n.d. https://www.coursera.org/learn/marketing-analytics/home/info.
Hartman, Kevin. Digital Analytics for Marketing Professionals: Marketing Analytics in Practice.
Coursera, n.d. https://www.coursera.org/learn/digital-analytics/home/info.
Kotler, Philip, and Gary Armstrong. Principles of Marketing. 15th ed. Upper Saddle River, NJ:
Prent
This document discusses the key factors affecting the growth and development of e-commerce. It identifies political, economic, social and technological factors as the main influencers. Political factors include government legislation and initiatives to support e-commerce. Economic factors incorporate the overall wealth and commercial health of a nation. Social factors involve things like education, income levels and lifestyle changes. Technological development, especially in information and communication technologies, is also a primary driver by making transactions more efficient.
The document discusses various electronic payment systems used for e-commerce transactions. It describes advantages and disadvantages of different systems including electronic cash, electronic wallets, smart cards, and credit cards. It provides details on how each system works, examples of implementations, and considerations regarding their adoption and success.
Five Talents has challenged a team to help the Mama Bahati Foundation (MBF) in Tanzania address security risks from transporting cash and assess options to incorporate mobile money. The team researched other Tanzanian MFIs' use of mobile money, evaluated the Musoni platform, and considered alternatives. They found that Musoni could help MBF securely disburse loans and collect repayments, though it may not reduce costs or ensure long-term sustainability on its own. Voluntary savings and loan associations (VSLAs) were identified as a potential complementary approach.
Web analytics involves collecting and analyzing digital data about user behavior on websites and mobile apps. It is important for measuring the effectiveness of marketing campaigns and ensuring websites meet their objectives, such as increasing sales for ecommerce sites. Google Analytics is a popular web analytics tool that tracks user data through a JavaScript code added to websites. It provides visualization tools and insights about key metrics like users, sessions, pageviews, bounce rate, and exit rate, broken down by dimensions such as channels, devices, and locations.
Ever wonder what SEO is and why it is important?
Check out this easy to understand presentation that breaksdown the SEO basics for the non techy business person.
Don't worry, there are lots of pictures...
Consumer behavior involves people's activities related to using goods and services. Consumer buying decisions are complex and influenced by culture, sociological factors, individual characteristics, product attributes, and the purchasing environment. Culture consists of values, attitudes, ideas and meanings shared by a group. It is learned and transmitted between generations. Social class is defined by income, occupation, and lifestyle, and influences consumption patterns. The socialization process teaches individuals the behaviors, values, and attitudes of their society through institutions like family, education, and religion. Reference groups determine aspirations and influence daily decisions through socialization, self-image development, and serving as teachers. Models of consumer behavior are developed through abstraction from real situations or by formulating general theories and applying them
Google analytic best website performance checker tool, get complete guide information on website with Google analytics tool for better results and for complete check on information.
1) The Parx brand owned by Raymond saw declining sales from 2012-2014 but then grew rapidly from 2015-2017 due to targeting millennials.
2) To attract millennials, Parx shifted to slimmer fits, casual styles, pop-up stores, and innovative supply models while closing unprofitable stores.
3) Parx also transitioned from traditional to digital marketing, launching college recruitment events and seasonal brand campaigns to engage millennials online.
AdWords: ottimizzazione, campagne potenziate e marchi registrati (WebReevolut...Chiara Francesca Storti
Google AdWords ed i tempi caldi del Forum GT presentati al Festival del Web Marketing - Roma 28 Giugno 2013 #WebReevolution
SERP e AdWords, campagne potenziate, bid con marchi registrati e normative vigenti, ottimizzazioni e successo delle campagna PPC.
Dr. Nahid Sarlak's innovation "Fixative of Polymerized Carbon Nanotubes Encapsulating Osmium Nanoparticles for Biological Tissue" won the TechConnect Global Innovation Award for 2013. The innovation was recognized for being in the top 20% of submitted technologies based on its potential positive impact on an industry sector. As an award winner, Dr. Sarlak is listed on the TechConnect Innovation Awards homepage.
Automating Machine Learning Workflows: A Report from the Trenches - Jose A. O...PAPIs.io
The document discusses automating machine learning workflows and feature engineering. It proposes domain-specific languages like Flatline and WhizzML to provide abstraction and automation. Flatline allows declarative feature engineering expressions. WhizzML provides abstraction, reusable procedures, and handles workflows and algorithms more efficiently by executing remotely on servers. Challenges remain around error management, resumable workflows, and optimizing data access across distributed executions.
Este documento describe un proyecto para promover desayunos saludables en un centro. Se explica que el proyecto consiste en una exposición sobre los alimentos que deben incluirse en el desayuno y una explicación de su importancia, seguida de una degustación de un desayuno equilibrado. Se detallan los pasos para organizar la actividad con los niños, incluyendo una breve explicación sobre los grupos de alimentos y un desayuno de ejemplo que incluye frutas, galletas, tostadas y leche.
An introduction to machine learning for particle physicsAndrew Lowe
Lecture slides for tutorial given to particle physics students at Eötvös Loránd University on machine learning basic theory [Note: these slides were exported from the original reveal.js HTML slide deck; some pages do not render well as PDF]
Illustrated with many live demos, this session presents the main challenges a developer faces when developing an IoT solution and how open source projects like the ones found at Eclipse IoT (but not only!) can help.
Vamp - The anti-fragilitiy platform for digital servicesQAware GmbH
Cloud Native Night November 2016, Munich: Talk by Olaf Molenveld (@magneticio, CEO at magnetic.io).
Join our Meetup: www.meetup.com/cloud-native-muc
Abstract: CD, (Docker)container and microservices interest has exploded the last year. Still there is a lot of focus on products and not so much on processes. But to achieve the holy grail of continuous innovation and improvement having the right automation workflows and integrations in place are essential. Vamp (http://vamp.io) is an open source solution that provides integration with container schedulers and programmable routing and provides automation and optimisation workflows to deliver valuable features like canary-releasing and micro scaling. In this talk we’re going to describe what is needed to make the most out of microservices and containers and how to use Vamp to deliver anti-fragile workflows on top of common container schedulers like DC/OS, Rancher and Kubernetes.
Creating Your First Predictive Model In PythonRobert Dempsey
If you’ve been reading books and blog posts on machine learning and predictive analytics and are still left wondering how to create a predictive model and apply it to your own data, this presentation will give you the steps you need to take to do just that.
Understanding Personalization Metrics - How to Measure SuccessCertona
In order to know if your personalization strategy is working, you need to understand how to measure success. Get to know the metrics that impact web personalization and how to improve performance.
The document discusses the open meteorological data provided by the Finnish Meteorological Institute (FMI). FMI opened its data in 2013, making basically all of its data freely available in machine-readable formats. The data portal follows INSPIRE requirements and provides metadata, data, models, and services. Various types of observational and forecast data are available, including weather, marine, and radar data as well as lightning strikes and model outputs.
The document is Jordan's position paper for the World Health Organization (WHO) addressing three topics: ensuring health coverage for all, combating non-communicable diseases, and improving health care services for aging populations. Jordan supports the WHO's goals of universal health coverage, prevention and control of non-communicable diseases, and expanding preventative care for the elderly. Jordan has taken steps domestically such as providing free preventative services and increasing public health spending to work towards these goals. Internationally, Jordan advocates for collaboration between countries to share resources and expertise to tackle these global health issues.
Personalization vs. Customization - Comparative StudyDevesh Jagatram
The document discusses personalization versus customization in user experiences. It provides an overview of personalization, explaining that personalization uses implicit user preferences and actions to tailor content, while customization allows users to explicitly specify their preferences. The document also presents case studies of customization features on My Yahoo! that allow users to customize their homepage layout and content, and personalization features on Amazon and Gmail that aim to anticipate user needs based on purchase and browsing histories.
Google Analytics allows you to analyze insights from your website for marketing purposes. It provides details on users, including their locations, devices, sessions, and conversions. To use it, create a Google Analytics account, then add the tracking code to your website. This allows Google Analytics to collect data. The interface has four main sections: Home provides an overview of users and activity; Customization allows customizing reports; Reports show details on audiences, acquisitions, behavior, and conversions; and Admin manages accounts and properties. Key metrics include sessions, users, revenue, and conversion rate.
This document provides a short review of different personalization schemes for web search engines, including rule-based personalization, market basket analysis, collaborative filtering, and user profile-based personalization. Each approach is described in 1-2 sentences and their benefits and limitations are outlined. Rule-based personalization uses predefined rules to classify users and content, market basket analysis identifies commonly visited page combinations, collaborative filtering predicts user preferences based on similar users, and user profile-based personalization tailors content to individual user profiles. While each approach provides personalized search results, they also have challenges including cold starts for new users, complex rule maintenance, and correctly identifying user interests.
Designing Outcomes For Usability Nycupa Hurst FinalWIKOLO
MarkoHurst.com :: My topic of discussion at the Feb 17 2009 NYC UPA.
Even as the pace of society, business, and the Internet continue to increase, many budgets and time lines continue to decrease. To compound this issue, there is a serious disconnect between business goals, user goals, and what visitors actually do on your site. UX practitioners need a simple and efficient way to reconcile these diverse needs while taking action on their data. Join us to learn about a new method for incorporating quantitative data such as web analytics and business intelligence into your qualitative user experience deliverables: personas, wireframes, and more. This presentation will include discussions of online business models, feedback loops for ensuring cross-discipline collaboration, and ongoing revisions.
The document discusses techniques for personalizing hypermedia presentations to improve online customer relationships. It outlines how systems can collect user data like demographics, interests, and goals to adapt content, presentation, and structure based on the user, their usage patterns, and environment. The goal is to dynamically tailor web experiences for individual users.
Slides for the plenary talk on "The Personalised University" presented at the IWMW 2000 event held at the University of Bath on 6-8 September 2000.
See http://www.ukoln.ac.uk/web-focus/events/workshops/webmaster-2000/sessions .html#sanders
Boosting Personalization In SaaS Using Machine LearningGlorium Tech
The document discusses personalization in software as a service (SaaS) using machine learning. It defines personalization and provides examples of use cases like personalized search, content ranking, marketing, and SaaS plans. The document also outlines a general two-phase personalization system architecture consisting of a feature store, personalization engine, and business logic/ranking components. It provides Dropbox as an example that uses various personalization techniques like personalized search, lifetime value, and churn scores to improve customer experience.
Why personalization important for fintech enterprises? JK Baseer
How does personalization can help to achieve 1:1 people based marketing through personalised contents and offers thus achieving seamless experience for end users and return on investment for every users who is onboarding the website or product.
Ps: Presentation prepared for a banking company.
Boosting Personalization In SaaS Using Machine Learning.pdfReza Rahimi
The document discusses personalization in software as a service (SaaS) using machine learning. It defines personalization and outlines a general personalization system architecture. Examples of personalization use cases at Dropbox are also provided, such as personalized search, lifetime value estimates, GUI rendering, Dropbox plan recommendations, churn scores, messaging, content ranking, promotions, and marketing. The key takeaways are that keeping customers happy is critical for SaaS success, personalization can help automate connecting and serving customers for better experiences, and machine learning enables personalization at scale.
The document discusses website analytics and choosing the right analytics tool. It recommends Visitor Analytics, which tracks privacy-friendly data in a straightforward way. Visitor Analytics allows users to see important metrics like visitors, page views, bounce rate, referrals, locations and more. It also supports tracking campaign URLs and user behavior insights from session recordings and heatmaps. The tool works across platforms and helps users understand website traffic and user performance.
Universal analytics tools allow tracking individual customers across devices by creating a unique identifier for each person. This helps analyze customer behavior based on device used and how behavior changes over time. Key metrics for analytics include unique visitors, new vs returning visitors, page views, average time on site, and bounce rate. Tools like Google Analytics are commonly used for tracking various digital marketing metrics. Setting goals and conversion rates in Google Analytics involves defining the goal, setting up the goal details and funnel steps, and accessing related reports.
The document discusses various topics related to e-commerce including online marketing strategies, website development, technical aspects, project design, and business intelligence. Some key points include:
- It lists several online marketing strategies such as affiliate marketing, lead generation, content marketing, and email marketing campaigns.
- Website development should follow standard practices like a catchy URL, easy navigation, security features, and mobile responsiveness.
- Technical aspects of an e-commerce system include security, scalability, availability, and fault tolerance.
- Project design can follow agile or waterfall methodologies and includes defining requirements, designing the database, and developing the web application.
- Business intelligence is important for analyzing online transactions
This document discusses contextual computing approaches to personalized search. It describes how contextual computing aims to understand each user, the context, and information being used to actively adapt searches. This allows moving from consensus relevancy for all users to personal relevancy determined for each individual, reducing search times. The document outlines techniques like query augmentation and result processing to personalize searches based on user models and context. It also discusses challenges like accurately modeling changing user interests over time and addressing privacy issues.
How To Promote Your Online Visibility Using Web Analytics. How To Promote You...Overalia
This document discusses key concepts for understanding and optimizing web analytics, including:
1. Defining objectives and identifying potential customers to focus analytics efforts.
2. Generating traffic through various acquisition channels like search engines, display ads, email marketing, and integrating campaigns in Google Analytics.
3. Segmenting data by user types, content, campaigns etc. to more easily measure and optimize performance. The overall goal is to improve conversion, retention and acquisition.
Google Analytics: MVPs and Game-Changing New FeaturesBrian Alpert
Part two of Seb Chan & Brian Alpert’s "Web Metrics and Google Analytics for Museums" workshop looks at some of the most significant recent changes to Google Analytics. With many improvements released over the course of the 2013-14, Google dramatically altered the landscape of the tool's capabilities. The presentation discusses such GA "MVPs" as Advanced Segmentation and Event Tracking, and provides an overview of some of the many new features, including Demographics and Interests reports, custom channels and content grouping, and the coming change to Universal Analytics. Case studies and slides showing best practices and "tips and tricks" are also included, as well as links to the valuable resources used to collect the information. Presented 4/2/14 at Museums and the Web 2014, Baltimore Maryland.
Google analytics and google data studioBrian Pichman
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Title: The Power of Predictive Analytics: Unlocking the Potential of Predictive Sites
Introduction:
In today's digital landscape, businesses are constantly seeking ways to gain a competitive edge and provide a personalized experience for their customers. One emerging trend that is revolutionizing the online space is the use of predictive analytics to create predictive sites. These websites leverage data-driven insights and advanced algorithms to anticipate user needs, deliver tailored content, and enhance the overall user experience. In this article, we will explore the concept of predictive sites and the immense potential they hold for businesses in various industries.
Understanding Predictive Sites:
Predictive sites are a new breed of websites that go beyond traditional static web pages or basic personalization techniques. They harness the power of predictive analytics, machine learning, and artificial intelligence to provide real-time, context-aware experiences for visitors. By analyzing vast amounts of data, including user behavior, preferences, demographics, and historical patterns, predictive sites can predict and anticipate user intent, making them highly dynamic and responsive platforms.
Key Benefits of Predictive Sites:
Enhanced Personalization: Predictive sites enable businesses to deliver highly personalized experiences to their customers. By understanding individual preferences, interests, and browsing behavior, these sites can present tailored content, product recommendations, and offers in real-time, increasing engagement and conversion rates.
Improved User Experience: Predictive sites anticipate user needs and provide intuitive navigation, seamless interactions, and relevant information. By adapting to user behavior and preferences, these sites offer a more fluid and efficient browsing experience, reducing friction and increasing customer satisfaction.
Optimized Content Delivery: Predictive sites leverage predictive analytics to optimize content delivery. They can identify the most effective content formats, layouts, and messaging to engage users and drive desired actions. This data-driven approach ensures that the right content reaches the right audience at the right time, maximizing impact and conversions.
Anticipating Customer Intent: Predictive sites can accurately anticipate customer intent based on historical data and patterns. By understanding user behavior and context, these sites can proactively provide relevant information, answers to frequently asked questions, or suggested next steps, improving customer engagement and reducing support inquiries.
Conversion Rate Optimization: With the ability to dynamically adapt and personalize the user experience, predictive sites have the potential to significantly increase conversion rates. By leveraging data insights and real-time optimization, these sites can deliver targeted calls-to-action, persuasive messaging, and seamless checkout processes, leading to higher convers
Similar to Personalization in e-commerce components & conceptuals by parkavi_vasan_divakar (20)
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Traffic Sources Analysis:
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2. HELLO!
I am Parkavi Vasan
(aka) Ravichandran Diavkar
2
Reach me @
https://www.linkedin.com/in/parkavivasan
3. Synopsis
3
Personalization
–(components, Objectives, Users concepts)
Classifications
-(one method of classifying, 1 to 1 , M to 1)
Levels of Personalization
-(element to experience level, reactance)
Connecting the components & elements
-(mapping users, process walk through, over view )
Personalization under Customization
-(explanation and example )
5. Personalization
5
Personalization is the process of tailoring content to individual users' characteristics or preferences.
It is a means of meeting the customer's needs more effectively and efficiently, making interactions faster
and easier and, consequently, increasing customer satisfaction and retention.
User
Business
Tomorrow’s
Internet
60% of customers
online prefer it if an
online store remembers
their interests, contact
details and purchase
information
[ ]
Personalization helps
businesses by increasing
conversion, inject users into
goal funnel, retention etc.
Personalization can already be
recognized as the dominant trend
in the industry. delivering
exceptional customer experience,
will turn into key driver.
6. Objectives & Measures
6
Conversion Metric
1. Orders, Goal, sing-up etc
2. Inject into sales Funnel
3. GMV etc.
Objectives
Conversion: Helps to increase conversion
User Experience: Enhance User Experience
Engagment: Increase effetcive engagement
Retention and Loyality
Engagement Metric
1. CTR
2. Page/Product Views
3. Time Spent etc.
User Experience Metric
1. Qulaitative & quantitative
2. Summatice & Formative
3. Usability feedbacks etc.
Retention and Loyalty
1. Return Frequency
2. Quality Conversion
3. r
Performance and Measure
7. Basic Components
7
Components Explanation Example
Inventory/Items
Inventories are the assets of a website that comprises all information
sets, such as html elements, text, images, audio, video etc. Ideally it
says “what you can” personalize.
Content, text, image etc.
Logics
Logics can be defined at two ends. The back end which involves the
data process, machine learning algorithm, CBR etc. And at front end it
is the concept that dealt with user- like cross sell, recommends,
complementary sell, feeds etc.
Using “Neighborhood models” at back end to find
similar users and items, to recommend “frequently
bought together” (cross sell) at front end.
Users
Users can be segmented on various parameters like traffic source,
demo graphics, logged- in status, buying /goal intention etc.
Traffic+ demographics: User who visit site via
search engine from Canada.
Triggers
It’s the coordination between other components which organizes and
run the show. The decision point of when to show, what logic to show
and to whom to show etc.
Showing personalized trending cricket news feed in
home page to user who has affinity towards sports
> cricket.
User
Logic
Triggers
Inventory
Personalization
8. Users
8 As users can be classified or
segmented on various basis like traffic
source, demo graphics, new/return etc. For
ease of understanding and working, let’s put,
user into strangeness and buying intention
bucket.
Technically, at the edge, personalization (on the
basis of real time/ progressive) can be surfaced to users
whose browsing history is available. Irrespective of any
segmentation (demo graphics, new/existing, Not logged-in
etc... And this is made possible through “cookies”.
Classifying user on the basis of strangeness (known
or unknown) to the site/personalization engine.
Users
Known Unknown
System/Site Intention
Visitor Shopper Customer
9. Intention-User
9
Visitor Shopper Customer/Buyer
Who they are
A visitor is the one who visit your site
and may or may not have an idea of
converting through your site, at the
moment. As similar to one who checks
out the shops and merchandizes in a
mall.
A visitor turns into potential shopper if he
shows interest (custom triggered event) to buy
or initiate the goal (of the site). As similar one
who enters shop and picks (custom event)
dress.
A shopper turns into customer by
entering into the conversion funnel
or completes the site goal (purchase).
What they do
(Custom Event)
Visit to site
By triggering any defined custom event- like
product views, filling forms,performing search
etc. can be attributed as shopper.
Progressing into Conversion Funnel
or activates the site goal(order/sign-
up etc)
Example
User Searching for “samsung phones”
and visit site as natural traffic.
Triggering events like visit to specific pages or
product views or sales funnel etc.
Performing cart addition or entering
checkout steps or Form Submission
etc.
11. The one of Tree type
11
Personalization
Mode Recommendation Method
On-Site Off-site
Instant Real time/Progressive Predictive
User Known User Unknown + Known Known (processed)
Level
Element
Product
Page
Experience
Page
Product
Element
Experience
Page
Omni- channel
Data
Generated &
collected
from User
Generated
from User
Processed Data
-Touch Points
-Emails
-App Notification
-3rd party space
Multi to 11 to 1
Data Generated Collected + Generated
Over the industry,
personlization is being talked or
infered differntly in varying
concepts and terms. I took a
method which equates to ceratin
usage process.
12. On-Site Personalization
12
Instant
-Instant are those types were
personalization is available instantly as
user lands on site. Happens only when the
user is “known”. Combination of collected
and generated data of user is used for
personalizing.
Ex-Recommended for you widget
Real Time/Progressive
- Progressive personalization works well
with New/Unknown Users. Where users
are initially identified by explicit mentions
(devices, demographics etc.) and
personalization happens gradually
through browsing patterns.
Ex- Recently Viewed Items Widgets
Predictive
-Predictive personalization involves
observing implicit behavior and the types
of activity a customer engages in past and
using those observations to determine the
likelihood of future explicit behavior.
2.Known user
Real Time Progressive
1.Unknown User
User
Genrated DataBrowsing
Collected Data
Observation +
Processing
Predective Personalization
Ex- “we thought you might be interested”
Showing travel offers for upcoming Christmas,
to a user who usually travel during Christmas.
13. Recommendation Method
13 1 to 1
Mechanism
Involves processing of one’s own on-site
behavior patterns and other data to
optimize Personalization. The scope of
personalization limits to that user.
With concept of “social proofs’, it Involves
processing similar behaviors and the types of
activities engaged by other users and using those
insights to Personalize with current user.
Multi to 1 (M to 1)
Example (widget) Inspired by your browsing People who viewed this also viewed
1 to 1
M to 1
Known User Unknown User
-Instant
ex-recommended for you
-Predective
ex-Frequently bought
together
-Real time/Progressive (collected data)
ex-People also viewed
-Real/Progressive (generated data)
ex-inspired by your browsing
Mappping the segments
1 to 1 M to 1
15. Levels of Personalization
15
Level Explanation Example
Element Level
Any web page elements like images, text, banners, html can be
personalized.
Keeping
Product/item Level
Here Products can be defined as combination of elements, which
defines the key object of site. As by combing elements they
provide core experience to user.
It can be the combination of image and text to
represent a product to buy (ecommerce) or a
article (in content site) or a profile synopsis in
matrimony site.
Page Level
Page personalization Combines element + product. Combination
of these(element & product) can align and turn, almost a whole
page into a personalized experience.
Amazon’s home page, facebook feed, my yahoo
etc.
Experience Level
It’s the overall UX impression the impacts user. Experience level,
will attributes from elements to page level.
As small as personalizing “Preferred payment
mode” or an entire page to reactance/magnetic
etc.
Level/scope of personaliztaion
Content
Page
Experience
Element
Product
Keeps Evolving
16. Deep dive into Experiences
16
Reactive/Responsive UX
In this experience almost entire
site will align to the “user” based
on his/her browsing history and
other sourced data. It may happen
through any combination- page,
elements, product etc.
Example:
www.amazon.in where almost all
the home page element are tuned
to user’s browsing history and
predictive interests. This is made
possible through various widgets
and elements like “Recommended
for you”, “You recently viewed”
and other category specific
suggestion
Captivate or Magnetic UX
This is a commonly used User Experience
design. The approach is to provide
attractive (magnetic) or likely experience
that goes well with most of users. This
approach shrinks the personalization and
give hands to generic template approach
to all type of users. Simply put, they can be
defined as the user experience which is
partly driven by business.
Example:
www.newegg.com Here the web page
elements are tuned to user-business
specific. Similar to amazon, they provide
user experience through web elements like
“trending now”, “best sellers”, “featured
products”, etc. which are common for all
users.
Immersive UX
Is a kind of avant-garde which focus
on specific concept(s) or core
value(s) of the site or organization.
This is extensively innovation driven,
focusing primarily on user
experience and constantly carrying
out experiments with risk involved.
This approach also streams in native
Ad-on Features to enhance the
complete suite of user experience.
Example:
www.filpkart.com provide intuitive
user experience through mobile
device, which is easy and on-the-go
for users. They also built extreme
native Ad-On features like “ping"
which engages socialized buying
experience.
For more info click here
18. User Journey
18
1 Known Unknown
Level of
personalization
Product + Page+
element + UX
--
Widget/Items
to show
Recommended for you,
profiles you might like
Best Sellers,
Trending
News etc.
Target 1 to 1 and/or M to 1 M to 1
Experience Reactance Magnetic
3 Known Unknown
Level of
personalization
Product + Page+ element + UX
Widget/Items
to show
More items to consider, frequently
bought, more people to connect (linkedIn)
Target 1 to 1 and/or M to 1
2 Known Unknown
Level of
personalization
Product + Page+ element + UX
Widget/Items to
show
You might like, similar items, people
who viewed this also viewed
Recommendation
method
1 to 1 and/or M to 1
Visit to Site as visitor
Triggering Custom Event
like page views, search,
filling form etc
Triggering Custom Event
like cart addition, sign-
up etc.
Dynamically optimize personalization
19. Walk Through
19
User
Strangeness Known
On-Site –P Instant
Page Home page
Level of
personalization
Product/Page/element/UX
Logic (say) Recommended for you-recommend
Data Used Collected + Generated
Experience Reactive/immersion
Custom
event
Visit to category page + product views
Triggers
Page Home page
LOP
Product + Page+
element + UX
Logic
Inspired By Your
browsing
Add to cart,
checkout process
order confirmation
Page Home page
LOP Product + Page+ element
Logic
Cross sell- Also
bought/recommended for you
Visitor
Shopper
Customer
Strangeness Unknown
On-Site –P Progressive
Page Home page
Level of
personalization
Non for 1st time visit of the session
Logic -
Data Used Generated
Experience Magnetic
Triggers
Page Home page
LOP
Product + Page+
element
Logic
Inspired By Your
browsing Add to cart,
checkout process
order confirmation
Visit to category page + product viwew
Page Home page
LOP Product + Page+ element
Logic
Cross sell- Also
Bought/recommended for you
Custom
event
Via Search Engine- logged-in user Via Search Engine Non-logged-in user
20. Hosting-Over view
20
% of personalization
Decide the type of
experience to be hosted
through site (reactance,
magnetic etc)
Methods & Kick start
Start with real time & instant,
such that all differnet user
types are covered. And
gradually build predective.
Elements to page
Based on site’s key metric
(purchase, sign-up etc)
choose the inventories to
personalize.
Set-up
Define rules, triggers action and
M to 1 and 1 to 1 functionalities
through 3rd party or in-house
capabilities and dynamically
host the inventories and logics
to personalization.
Optimize
Monitor and optimize the
performance of items by
constantly tuning the front end
& back-end logics, screen real
estate placement, triggers etc.
Measure
Measure the performance by
contribution share, page
level performance, or
engagement metrics (CTR,
impression), usability etc.
Personalization
Site and
components
22. Personalization under Customization
22 Customization
Is an explicit mention of interest or control over the segment.
“you’re what you say” simply it is the concept of self-profiling.
Like preferred mode of payment, delivery address, interested
category/section, gender etc.
Ex- Amazon user admin panel is an example. where you can
customize their preferences (what you like what you don’t etc).
Personalization
Is an implicit mention of interest. So “you are what you click
and/or what you buy” etc. Basically the prediction insight
from your behavior observations. It is the auto/system
profiling.
User
Age, Preferred
brand/category,
payment method
etc.
Customization
Personalization
With more
weightage to user
preference
Input from User
User
Preference: sports and science
Customization
Website feed
tunes to sports
Assume: Within sports if user spends more with “tennis”
then feeds get more refined to tennis updates.
Personalization
under Customization
Over View:
Example: