The document discusses various web metrics used to analyze websites and search engine results, including hits, click-through rates, page views, visits, unique visitors, referrers, conversion rates, abandonment rates, and loyalty, frequency, and recency. It also covers algorithms like PageRank and HITS that are used to determine the importance and authority of web pages. Finally, it summarizes the results of a study analyzing the types of results, domains, and use of shortcuts on search engine result pages from Google, Yahoo, MSN, and Ask.com.
Search Marketing is one of the core aspects of Digital Marketing. Paid or Organic, it is not about the competition between the two...but the way both are utilized in sync to drive SERP traffic onto your website.
The document provides an agenda for a web analytics training day. The objectives are to understand web analytics and how to use analytics tools to understand website visitors and enhance online performance. The agenda includes explaining what web analytics are, why they are useful, demonstrating site-focused and market-focused analytics tools like Google Analytics, browser plugins and SEO analytics software, and how to use analytics packages. Practical exercises are also included to allow participants to apply the concepts.
This document provides an overview of search engine optimization (SEO), including how search engines work, how to optimize a website for search engines, and potential pitfalls to avoid. It discusses how search engines index websites, use keyword relevance to determine search rankings, and evaluate over 200 factors. The document also outlines techniques to optimize on-page elements like titles, descriptions and internal links, as well as off-page elements like external links, and warns against black hat SEO tactics that try to artificially manipulate rankings.
The document provides an overview of creating an analytics plan for a website. It discusses establishing goals and key performance indicators, collecting and analyzing data through tools like Google Analytics, testing changes through A/B and multivariate testing, benchmarking against competitors, creating regular reports on metrics and actions, and gaining support for analytics from leadership and cross-functional teams. The overall purpose is to help organizations make more data-driven marketing and content decisions to improve outcomes.
Web Analytics Training Day was hosted by Andy Atkins, an internet marketer with over 10 years of experience. The objectives of the training were to understand web analytics and how to use the data to focus business growth efforts. The agenda covered what web analytics are, why they are useful, site-focused and market-focused analytics, and how to use analytics packages. Attendees learned about Google Analytics, browser plugins for quick snapshots, and paid SEO software for more robust competitor and keyword data analysis over time. The training emphasized using analytics tools relevant to business objectives and not being afraid to pay for the right tools.
The document provides an overview of web marketing strategies to drive traffic, provide relevant content, and improve conversions. It discusses using tools like Google AdWords, Google Analytics, and Google Keyword Tool to research keywords, optimize pages, and drive natural and paid search traffic. It also covers using social media like YouTube, LinkedIn, Facebook and Twitter to share content and build backlinks to further improve search rankings and drive more visitors to convert. The overall message is that web marketing has become more complex with the rise of social media but offers great opportunities if the right mix of strategies around content, keywords, links and traffic sources are used.
Prior Version of slides from the internet marketing/seo training days delivered by MBL Solutions for Business & Enterprise North East. NOT for use for attendees after Oct 2010.
http://www.pointit.com - This presentation gives an overview of SEO fundamentals. You'll learn the definition of SEO, crucial factors in SEO, and where to start your SEO project.
Search Marketing is one of the core aspects of Digital Marketing. Paid or Organic, it is not about the competition between the two...but the way both are utilized in sync to drive SERP traffic onto your website.
The document provides an agenda for a web analytics training day. The objectives are to understand web analytics and how to use analytics tools to understand website visitors and enhance online performance. The agenda includes explaining what web analytics are, why they are useful, demonstrating site-focused and market-focused analytics tools like Google Analytics, browser plugins and SEO analytics software, and how to use analytics packages. Practical exercises are also included to allow participants to apply the concepts.
This document provides an overview of search engine optimization (SEO), including how search engines work, how to optimize a website for search engines, and potential pitfalls to avoid. It discusses how search engines index websites, use keyword relevance to determine search rankings, and evaluate over 200 factors. The document also outlines techniques to optimize on-page elements like titles, descriptions and internal links, as well as off-page elements like external links, and warns against black hat SEO tactics that try to artificially manipulate rankings.
The document provides an overview of creating an analytics plan for a website. It discusses establishing goals and key performance indicators, collecting and analyzing data through tools like Google Analytics, testing changes through A/B and multivariate testing, benchmarking against competitors, creating regular reports on metrics and actions, and gaining support for analytics from leadership and cross-functional teams. The overall purpose is to help organizations make more data-driven marketing and content decisions to improve outcomes.
Web Analytics Training Day was hosted by Andy Atkins, an internet marketer with over 10 years of experience. The objectives of the training were to understand web analytics and how to use the data to focus business growth efforts. The agenda covered what web analytics are, why they are useful, site-focused and market-focused analytics, and how to use analytics packages. Attendees learned about Google Analytics, browser plugins for quick snapshots, and paid SEO software for more robust competitor and keyword data analysis over time. The training emphasized using analytics tools relevant to business objectives and not being afraid to pay for the right tools.
The document provides an overview of web marketing strategies to drive traffic, provide relevant content, and improve conversions. It discusses using tools like Google AdWords, Google Analytics, and Google Keyword Tool to research keywords, optimize pages, and drive natural and paid search traffic. It also covers using social media like YouTube, LinkedIn, Facebook and Twitter to share content and build backlinks to further improve search rankings and drive more visitors to convert. The overall message is that web marketing has become more complex with the rise of social media but offers great opportunities if the right mix of strategies around content, keywords, links and traffic sources are used.
Prior Version of slides from the internet marketing/seo training days delivered by MBL Solutions for Business & Enterprise North East. NOT for use for attendees after Oct 2010.
http://www.pointit.com - This presentation gives an overview of SEO fundamentals. You'll learn the definition of SEO, crucial factors in SEO, and where to start your SEO project.
This document provides guidance on evaluating information found on the web. It discusses evaluating the author, date of publication, purpose and bias, relevance, authority and reliability, supporting evidence, and currency. Key factors to consider include who published the information, when it was published, why it was created, and whether it is objective. Signs of unreliable sites include wanting to sell something, unclear authorship, out-of-date information, less reliable domain extensions like .com, asking for personal information, and landing on Wikipedia. Reliable sources tend to come from government bodies, academic institutions, and professional organizations.
This document discusses link building strategies for building a website's authority. It explains that links are a vote of trust and reference from external sources that can boost authority and engagement. The most important factors for links are relevance, reputation, context, and quality over quantity. Both standard and advanced organic link building techniques are covered, such as creating useful content, tools, and resources and developing business relationships. The document warns against cheap or automated link building methods and emphasizes focusing on quality links from high-authority domains and pages that are contextually relevant.
Introduce the concepts and value of the content inventory and audit and get practical,
tactical tools and experience in conducting an audit, extracting insights, and
presenting the findings.
A comprehensive overview to help small business owners plan their web design project. Download the companion workbook here: https://roundpeg.biz/2017/11/website-workout-plan/
When you designed your website, you didn't set out to create something people would hate, but all too often that is the end result. Discover the most common mistakes and how to avoid them.
This document discusses how SEO strategies have shifted from a focus on page views to quality content and engagement. It notes that the value of a page view has declined while competition and importance of off-page factors have increased. The document recommends focusing on quality over searchability by creating content that engages audiences and develops ongoing relationships. It provides examples of metrics like newsletter signups, social media followers, and time on site that better measure engagement and influence compared to page views alone.
- The document provides tips and best practices for search engine optimization (SEO) including focusing on content, keywords, HTML, usability, design, page speed, links, blogs, social media, web analytics, reporting, and contact information.
- Key aspects discussed are optimizing content, titles, meta descriptions, keywords, HTML elements, links, page speed, designing for usability and responsiveness, using blogs, social media, and web analytics to improve SEO.
- Tips provided for each area include choosing relevant keywords, optimizing elements like titles and descriptions, improving page speed, creating engaging content, and using analytics to measure performance.
The document provides criteria for evaluating websites, including authority, purpose, currency, accuracy, and coverage. For authority, it is important to evaluate the author's credentials and expertise. Purpose determines whether the site aims to inform, promote, or influence. Currency checks if the information is up-to-date by looking at dates. Accuracy has no guarantees as websites rarely have editors, so citations are important. Coverage determines what topics are included and how comprehensive the information is.
This document provides guidance on search engine optimization (SEO) and optimizing a website for visibility. It discusses what SEO is, optimizing content on web pages, tracking goals and conversions, and creating an SEO plan. Key aspects include choosing keywords, analyzing website readiness, tracking metrics over time, and tailoring the approach for different business types and sizes. The overall message is that good SEO aligns with good user experience, and content should appeal to audiences rather than focus solely on keywords.
Deminar: Link Optimization using the Searchmetrics SuiteSearchmetrics
Even the best content will fail if the internal link structure of your site is not user centric.
With the Searchmetrics Link Optimization tool, you can analyze your entire internal link structure and receive targeted recommendations to optimally link your pages.
View the deminar on demand to answer the following:
Are my pages readily accessible to users and search engines?
How can I improve the flow of "link juice" through my site?
How can I use internal links to improve the topic authority of my pages?
http://www.searchmetrics.com/news-and-events/deminarlink-optimization-using-searchmetrics-suite/
This document discusses web analytics and analytical techniques. It begins with some definitions of key terms related to web analytics, such as pageviews, visits, unique visitors, referrers, and conversions. It then covers topics like qualitative user research methods, testing and experimentation, and analyzing social, mobile, and video data. The document provides examples of metrics for blogs, Twitter, and video analytics. It emphasizes testing hypotheses and measuring multiple outcomes to drive continual improvement of the online experience.
This document provides an overview of search engine optimization (SEO) strategies and tactics. It discusses both on-page optimization techniques like keyword optimization of titles, headings, and content, as well as off-page techniques like link building. Paid search strategies like Google AdWords are also covered. The goal of all these approaches is to generate targeted traffic and conversions for websites.
Mohsin Khan presented on search engine optimization (SEO). The key points included:
- Search engines use spiders to crawl the web, index content, and search indexed databases to return relevant documents for user queries. Ranking algorithms consider on-page and off-page optimization factors.
- SEO is important because 85% of internet traffic is referred by search engines, and users rarely view results past the first page. SEO provides cost-effective traffic and a measurable ROI.
- An SEO strategy involves keyword research, on-page optimization of titles, headings, links etc., and off-page optimization through relevant inbound links. Basic tips include using descriptive titles, HTML
The panelists discussed their experiences redesigning university press website. They emphasized the importance of thorough planning, including analyzing traffic, defining goals and functionality, and user testing. Key steps included determining requirements, selecting a content management system, customizing designs, addressing challenges like mobile accessibility, and performing user acceptance testing. Lessons included budgeting for consulting help, using front-end frameworks, and conducting user research to inform the redesign process.
A professional PPC and SEO company, specialising in Pay Per Click Management, Search Engine Optimisation & Social Media Optimisation. We make your ROI our focus & provide a tailored Search Engine Marketing solution for all.
10 Ways to Be Strategic with Web Analytics - Presentation for RootsTech Feb 2011Jimmy Smith
This is a presentation I made at FamilySearch RootsTech conference February 2011. It is now 9 years later yet the content is just as true, relevant, and insightful.
Introduction to digital marketing for beginners | Digital marketing startup g...Deep Mehta
This document provides an introduction and overview of digital marketing. It begins with the presenter's background and defines digital marketing as marketing in the digital era using internet and other digital technologies. The agenda then outlines discussing what digital marketing is, the basics of key digital marketing services, key performance indicators for each service, common challenges for startups, conducting market research and developing a web strategy. The document dives deeper into various digital marketing tactics like search engine optimization, social media marketing, email marketing, paid advertising, and conversion rate optimization. It provides guidance on the purpose and best practices for each channel and discusses how to address typical hurdles startups face with digital marketing.
Performing an SEO Audit- Pubcon Vegas 2013Selena Vidya
For more information on SEO audit services from Orthris: http://orthris.com/consulting-services/seo-audits/
Walkthrough on high level items for SEO audits from onboarding to technical. From Pubcon Vegas 2013.
Digital Marketing Course Week 6: Search Engine Optimization (SEO)Ayca Turhan
Sixth week slides of eMarketing Course at Hacettepe University taught by Ayca Turhan. Topics covered within the presentation include:
Search Engine Optimization Strategies
For more please visit: www.aycaturhan.com/man423
The document provides an overview of using Google Analytics for small businesses. It covers key metrics to measure like top keywords, referring websites, content popularity and bounce rate. It discusses setting up accounts and tracking codes, as well as setting up goals and conversions. Additional topics include new vs returning visitors, custom dashboards, and resources for learning more about Google Analytics.
This document provides guidance on evaluating information found on the web. It discusses evaluating the author, date of publication, purpose and bias, relevance, authority and reliability, supporting evidence, and currency. Key factors to consider include who published the information, when it was published, why it was created, and whether it is objective. Signs of unreliable sites include wanting to sell something, unclear authorship, out-of-date information, less reliable domain extensions like .com, asking for personal information, and landing on Wikipedia. Reliable sources tend to come from government bodies, academic institutions, and professional organizations.
This document discusses link building strategies for building a website's authority. It explains that links are a vote of trust and reference from external sources that can boost authority and engagement. The most important factors for links are relevance, reputation, context, and quality over quantity. Both standard and advanced organic link building techniques are covered, such as creating useful content, tools, and resources and developing business relationships. The document warns against cheap or automated link building methods and emphasizes focusing on quality links from high-authority domains and pages that are contextually relevant.
Introduce the concepts and value of the content inventory and audit and get practical,
tactical tools and experience in conducting an audit, extracting insights, and
presenting the findings.
A comprehensive overview to help small business owners plan their web design project. Download the companion workbook here: https://roundpeg.biz/2017/11/website-workout-plan/
When you designed your website, you didn't set out to create something people would hate, but all too often that is the end result. Discover the most common mistakes and how to avoid them.
This document discusses how SEO strategies have shifted from a focus on page views to quality content and engagement. It notes that the value of a page view has declined while competition and importance of off-page factors have increased. The document recommends focusing on quality over searchability by creating content that engages audiences and develops ongoing relationships. It provides examples of metrics like newsletter signups, social media followers, and time on site that better measure engagement and influence compared to page views alone.
- The document provides tips and best practices for search engine optimization (SEO) including focusing on content, keywords, HTML, usability, design, page speed, links, blogs, social media, web analytics, reporting, and contact information.
- Key aspects discussed are optimizing content, titles, meta descriptions, keywords, HTML elements, links, page speed, designing for usability and responsiveness, using blogs, social media, and web analytics to improve SEO.
- Tips provided for each area include choosing relevant keywords, optimizing elements like titles and descriptions, improving page speed, creating engaging content, and using analytics to measure performance.
The document provides criteria for evaluating websites, including authority, purpose, currency, accuracy, and coverage. For authority, it is important to evaluate the author's credentials and expertise. Purpose determines whether the site aims to inform, promote, or influence. Currency checks if the information is up-to-date by looking at dates. Accuracy has no guarantees as websites rarely have editors, so citations are important. Coverage determines what topics are included and how comprehensive the information is.
This document provides guidance on search engine optimization (SEO) and optimizing a website for visibility. It discusses what SEO is, optimizing content on web pages, tracking goals and conversions, and creating an SEO plan. Key aspects include choosing keywords, analyzing website readiness, tracking metrics over time, and tailoring the approach for different business types and sizes. The overall message is that good SEO aligns with good user experience, and content should appeal to audiences rather than focus solely on keywords.
Deminar: Link Optimization using the Searchmetrics SuiteSearchmetrics
Even the best content will fail if the internal link structure of your site is not user centric.
With the Searchmetrics Link Optimization tool, you can analyze your entire internal link structure and receive targeted recommendations to optimally link your pages.
View the deminar on demand to answer the following:
Are my pages readily accessible to users and search engines?
How can I improve the flow of "link juice" through my site?
How can I use internal links to improve the topic authority of my pages?
http://www.searchmetrics.com/news-and-events/deminarlink-optimization-using-searchmetrics-suite/
This document discusses web analytics and analytical techniques. It begins with some definitions of key terms related to web analytics, such as pageviews, visits, unique visitors, referrers, and conversions. It then covers topics like qualitative user research methods, testing and experimentation, and analyzing social, mobile, and video data. The document provides examples of metrics for blogs, Twitter, and video analytics. It emphasizes testing hypotheses and measuring multiple outcomes to drive continual improvement of the online experience.
This document provides an overview of search engine optimization (SEO) strategies and tactics. It discusses both on-page optimization techniques like keyword optimization of titles, headings, and content, as well as off-page techniques like link building. Paid search strategies like Google AdWords are also covered. The goal of all these approaches is to generate targeted traffic and conversions for websites.
Mohsin Khan presented on search engine optimization (SEO). The key points included:
- Search engines use spiders to crawl the web, index content, and search indexed databases to return relevant documents for user queries. Ranking algorithms consider on-page and off-page optimization factors.
- SEO is important because 85% of internet traffic is referred by search engines, and users rarely view results past the first page. SEO provides cost-effective traffic and a measurable ROI.
- An SEO strategy involves keyword research, on-page optimization of titles, headings, links etc., and off-page optimization through relevant inbound links. Basic tips include using descriptive titles, HTML
The panelists discussed their experiences redesigning university press website. They emphasized the importance of thorough planning, including analyzing traffic, defining goals and functionality, and user testing. Key steps included determining requirements, selecting a content management system, customizing designs, addressing challenges like mobile accessibility, and performing user acceptance testing. Lessons included budgeting for consulting help, using front-end frameworks, and conducting user research to inform the redesign process.
A professional PPC and SEO company, specialising in Pay Per Click Management, Search Engine Optimisation & Social Media Optimisation. We make your ROI our focus & provide a tailored Search Engine Marketing solution for all.
10 Ways to Be Strategic with Web Analytics - Presentation for RootsTech Feb 2011Jimmy Smith
This is a presentation I made at FamilySearch RootsTech conference February 2011. It is now 9 years later yet the content is just as true, relevant, and insightful.
Introduction to digital marketing for beginners | Digital marketing startup g...Deep Mehta
This document provides an introduction and overview of digital marketing. It begins with the presenter's background and defines digital marketing as marketing in the digital era using internet and other digital technologies. The agenda then outlines discussing what digital marketing is, the basics of key digital marketing services, key performance indicators for each service, common challenges for startups, conducting market research and developing a web strategy. The document dives deeper into various digital marketing tactics like search engine optimization, social media marketing, email marketing, paid advertising, and conversion rate optimization. It provides guidance on the purpose and best practices for each channel and discusses how to address typical hurdles startups face with digital marketing.
Performing an SEO Audit- Pubcon Vegas 2013Selena Vidya
For more information on SEO audit services from Orthris: http://orthris.com/consulting-services/seo-audits/
Walkthrough on high level items for SEO audits from onboarding to technical. From Pubcon Vegas 2013.
Digital Marketing Course Week 6: Search Engine Optimization (SEO)Ayca Turhan
Sixth week slides of eMarketing Course at Hacettepe University taught by Ayca Turhan. Topics covered within the presentation include:
Search Engine Optimization Strategies
For more please visit: www.aycaturhan.com/man423
The document provides an overview of using Google Analytics for small businesses. It covers key metrics to measure like top keywords, referring websites, content popularity and bounce rate. It discusses setting up accounts and tracking codes, as well as setting up goals and conversions. Additional topics include new vs returning visitors, custom dashboards, and resources for learning more about Google Analytics.
The document provides an overview of search engine optimization (SEO) including definitions of key terms like search engines and SEO. It describes how search engines work by using spiders to index web pages and rank them in search results. It also outlines important ranking factors for search engines and discusses the differences between paid search engine marketing and organic SEO. Basic tips for SEO optimization techniques are also provided.
Introduction to Search Marketing - Search Engine OptimisationRhys Downard
In this SlideShare we look at Search Engine Optimisation as part of Search Marketing. We consider the elements that can affect SEO as well as looking at some basic tools and strategies
This document provides an introduction to search engine optimization (SEO) including what SEO is, why it is important, and how search engines work. It discusses key on-page and off-page optimization strategies like optimizing titles, content, links, and site architecture. The document also outlines the process for an SEO audit including analyzing titles, content, links, duplicate content, and more. An action plan is proposed focusing on structural changes, keyword research, content development, on-page optimization, and social media strategies to improve search engine rankings.
Anatomy of Search Relevance: From Data To ActionSaïd Radhouani
Relevance denotes how well a search result satisfies the user information need. In addition to the search engine components (i.e., indexer and query parser), there are many other components that impact relevance. e.g., user understanding , data optimization, domain knowledge, etc. Improving relevance remains the main and most challenging goal of each search engine. Indeed, relevance can be subjective, therefore hard to measure and to improve. In this talk, Saïd will demystify the concept of relevance by defining its main components. For each component, he will present the technology enablers, the data, and processes that are required in order to measure and improve relevance. In this talk, attendees will learn how to provide a relevant user experience and track it over time.
Anatomy of Relevance - From Data to Action: Presented by Saïd Radhouani, Yell...Lucidworks
This document discusses relevance and how Yellow Pages leverages data to improve relevance. It outlines the importance of relevance for businesses and consumers in local search. The author then describes Yellow Pages and his role in content, search, and relevance. Next, it details the building blocks of relevance including user data, content, knowledge, search, and presentation. It emphasizes measuring relevance through key performance indicators and using data to identify gaps and drive continuous improvement through action. The goal is to use an evidence-based approach to optimize the user experience and satisfaction.
Google Analytics Beginners: How to Measure Your Homepage DesignBop Design
After this presentation, you will understand:
- How to use In-Page Analytics
- When a high bounce rate matters
- User performance across multiple devices and browser types
- What changes can be made with the data you pull
Don't just regurgitate data from your web analytics tool. Develop real insights, test your way to better conversion rates, and grow your business by focusing on the metrics that matter.
How do you know if your marketing is working? You have to measure it, of course. In this “Teach Me How” event, Andrew shares his favorite free tools and methods to understand the relationship between data, analytics, and marketing. You will learn how to measure and improve the metrics that matter to your business.
Link building involves obtaining links from other websites to increase a site's visibility and rankings in search engines. Links are important because they allow users to navigate between sites and provide search engines signals to determine a page's relevance and importance. Quality, contextual links from authoritative sites are most valuable, while low-quality reciprocal or paid links can hurt a site's rankings. Effective link building strategies include creating valuable content, fixing broken links, identifying relevant sites already linking to top competitors, and leveraging press releases, social media, and industry relationships.
Search engine optimization (SEO) involves optimizing websites to rank higher in search engine results. The basic building blocks of SEO include on-page optimization of elements like titles, meta descriptions and keywords. Off-page optimization involves link building through activities like blog submissions, article submissions, social bookmarking and press releases to generate relevant backlinks. While SEO increases website visibility and traffic, it requires high-quality, unique content and ongoing effort to achieve results.
Web mining is the use of data mining techniques to automatically discover and extract information from web documents and web usage data. There are three types of web mining: web content mining, web structure mining, and web usage mining. Web content mining analyzes the contents of web pages such as text and images. Web structure mining analyzes the hyperlink structure of the web to discover communities and page rankings. Web usage mining analyzes user interactions with websites through web logs to understand user behavior. Popular algorithms for web mining include PageRank for ranking pages and HITS for identifying hubs and authorities on a topic. Web mining has applications in areas like e-commerce, security, and prediction.
Web analytics is the collection, reporting, and analysis of website data to measure user behavior and identify areas for improvement. Common metrics include page views, sessions, bounce rate, traffic sources, and time on site. Understanding these metrics through descriptive analytics provides business insights around audiences, acquisitions, and user behavior to optimize the website experience and marketing strategies.
This document defines a search engine as an internet-based tool that searches an index of documents for terms specified by users. It searches billions of web pages. Search engines work by using spiders to crawl the web and index page content, then search this database in response to user queries. Results are ranked algorithmically based on relevance. The document outlines common search engine components and processes, as well as how search engine optimization (SEO) aims to improve rankings through on-page and off-page optimization strategies.
This document defines a search engine as an internet-based tool that searches an index of documents for terms specified by users. It searches billions of web pages. Search engines work by using spiders to crawl the web and index page content, then search this database in response to user queries. Results are ranked algorithmically based on relevance. The document outlines common search engine components and processes, as well as how search engine optimization (SEO) aims to improve rankings through on-page and off-page optimization strategies.
Compete PRO is a competitive intelligence tool that analyzes online consumer behavior and traffic patterns using a large panel of online users. It provides insights into website performance metrics, audience demographics, and competitive trends. This information helps digital marketers optimize campaigns, understand their target audiences, and evaluate competitors. Compete PRO offers more accurate and extensive data than local analytics tools, along with customizable dashboards and reports to track key metrics over time. Common uses of Compete PRO include identifying prospects, monitoring website performance, and researching competitors.
Clickstream Mining visualization for Ecommerceshraddha mane
Clickstream data records a user's activity and page visits on a website. It can be analyzed and visualized to understand user behavior and how effectively a website is designed. Clickstream analysis tools use this data along with demographic and purchase data to create visualizations like hierarchical node graphs and circular layouts that show patterns in how users navigate a site. This helps retailers understand and improve their site design, search functionality, checkout process, and other areas to reduce abandonment and increase purchases.
SEO experts from Oxiem Marketing Technology in Columbus, Ohio, presented this session on all the ways you can optimize your website for search engines, market your business in search engines, discover keywords and do pay per click (ppc) advertising.
The document discusses web mining and analyzing user behavior data from web logs. It provides examples of different types of web mining including web structure mining, web content mining, and web usage mining. It also discusses criteria for evaluating user behavior data such as credibility, validity, and reliability. The document includes two case studies, one on the Institute for Policy Studies website which finds that most new visitors leave immediately and campaign traffic has a high bounce rate, and another on the City of Prague, Oklahoma website which sees most traffic from Oklahoma and high bounce rates from other countries.
This document discusses web content mining and summarizes key concepts from a lecture on the topic. It covers extracting both structured and unstructured data from web pages, including lists, details pages, text, opinions and reviews. Pre-processing steps for web content mining are outlined, including removing HTML tags, identifying main content blocks, and detecting duplicate pages. Text preprocessing techniques like stop word removal and stemming are also summarized. The document concludes by discussing web spamming techniques used to improperly influence search engine rankings.
The document discusses various topics related to unstructured data analytics including text mining, web mining, and big data. It provides details on text mining tasks like information extraction, topic tracking, summarization, classification, clustering, and association. The key aspects of text mining discussed are preprocessing text data through tokenization, part-of-speech tagging, and semantic analysis. Text mining aims to extract useful information and discover patterns from large collections of unstructured text documents.
Sentiment analysis and opinion mining is the study of people's opinions, attitudes and emotions expressed in text towards entities. It is useful for businesses and consumers. Sentiment analysis can be done at the document, sentence and entity/aspect level. At the document level, a review is classified as overall positive or negative. At the sentence level, each sentence is classified. At the entity/aspect level, the specific attributes that people liked and disliked are identified. Automated sentiment analysis is needed due to the large volume of online opinions and human biases. Challenges include sarcasm, context dependence of words and implicit opinions. Supervised and unsupervised machine learning techniques are used for classification.
This document discusses basic techniques in natural language processing (NLP) including structuring unstructured text, text preprocessing, and tokenization. It explains how to structure unstructured text into a tabular format for analysis. It then covers various text preprocessing techniques like character encoding identification, language identification, and normalization. Finally, it describes different approaches to tokenization for space-delimited and unsegmented languages, including handling punctuation, multi-word expressions, and sentence segmentation.
This document discusses web usage mining and clickstream data analysis. It provides an overview of web usage mining goals such as understanding user behavior and customizing websites. It also describes different types of clickstream data sources like web server log files, page tags, and cookies. Additionally, it covers various aspects of processing clickstream data like sessionization, path completion, and data integration to model usage patterns and identify frequent behaviors. The overall aim is to apply these analytical techniques to clickstream data from a website to help maximize revenue.
This document provides an introduction to deep learning through a series of sections on topics like the ontology of AI, deep learning in action demonstrated through examples, the differences between BA, ML and AI, hands-on examples of supervised learning in RStudio, an overview of neural networks and backpropagation, a comparison of different machine learning algorithms, and applications of deep learning with examples in areas like computer vision. It also profiles some of the leading figures in deep learning and artificial intelligence research.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
Predictably Improve Your B2B Tech Company's Performance by Leveraging DataKiwi Creative
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
- - -
This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
End-to-end pipeline agility - Berlin Buzzwords 2024Lars Albertsson
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...Social Samosa
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
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Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
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Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfGetInData
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
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The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
2. Web Metrics
• Some interesting terms
– Hits: an action on a website such as when a user
views a page or downloads a file
– When a page is an assembly of downloaded
objects the hits include all the downloaded files!
– Artificially inflated
– If anything, hits are at the bottom of the pyramid
– Measuring hits does not mean anything!
12/03/18 Professor V. Nagadevara
3. Click-Through
• Click-through is the number of people who click on a
particular thing – a link, an ad word, banner ad, etc.
• “Percentage of users who click on a viewed
advertisement”
• Click-oops-back is part of the click-through
• Better measure is the response rate – number of
visitors who arrived at the site after clicking the link
• “we had 200,000 hits last month” or “our click-through rate
from Yahoo is 95%”
12/03/18 Professor V. Nagadevara
4. Page View
• What is a page?
– Static pages, pages measured by page tags, documents are
okay
– Dynamically generated pages – is entire page a view, or is
object a view?
– repeat views – are they different from original view? How to
decide when is it a reload?
– How to consider frames?
• A successful loading of any document containing content that
was requested by a website visitor regardless of the delivery
mechanism or the number or frequency with which the said
content is delivered
12/03/18 Professor V. Nagadevara
5. Visits
• A visit is a session or user session
• Defined as any period of activity separated by
m minutes (say 30 minutes).
• A visit is counted when unique visitor creates an activity on a
webpage measured via a page statistic regardless the
duration of the activity as long as the period of inactivity
between page views does not exceed the pre-specified limit
12/03/18 Professor V. Nagadevara
6. Visitor/Unique visitor
• Human beings are visitors; bots are not
• How to determine uniqueness?
• A unique visitor is counted when a human being uses a web
browser to visit a website, regardless of the number of pages,
or duration. A visitor can be unique for different periods of
time
• A unique visitor for any arbitrary time frame should be
counted for onetime and onetime only on their first visit and
between the start date and end date
12/03/18 Professor V. Nagadevara
7. Referrer
• This is the source of traffic to the website
• Referring URL or referring Domain
• How to report when there is no referrer?
– Refer to them as “bookmarks or directly referred”
• Group the source into different referrers
– Banner ads, paid search engines, partners, affiliate programs
etc.
• A referrer to any website should be an undifferentiated
and complete uniform resource locator describing the
exact page on the referring website that contained the
link to the site in question
12/03/18 Professor V. Nagadevara
8. Conversion Rate
• One of the most important metrics for an
ecommerce site or online business
• A conversion rate is the number of completers
divided by the number of starters for any on-line
activity that is more than one logical step in length
• Starting and ending points Do not matter
• There can be many conversion rates for a given
website
• Can be measured by using views, visits, visitors
12/03/18 Professor V. Nagadevara
9. Abandonment Rate
• The abandonment rate for any step in a multi-step process is
“one minus the number of units that make it to step n+1
divided by those at step n”.
• AR = {1 – (Nn+1/Nn)}
• It can be measured by using visits, visitors, views etc.
• More important if the abandonment (leakage) occurs
before the conversion
• K-1 abandonment rates for a process involving k
steps
12/03/18 Professor V. Nagadevara
10. Loyalty, Frequency and Recency
• Measures how well the traffic is maintained
• Loyalty is the measure of the number of visits any visitor is
likely to make over the lifetime as a visitor.
• It is the raw number of visits all visitors have made since the
beginning of measurement and de-duplicated
• 100 visitors made 6 visits, 92 visitors made 7 visits
• De-duplication is adjusting the numbers when one moves
from 6 to 7 visits
12/03/18 Professor V. Nagadevara
11. Loyalty, Frequency and Recency
• Frequency is a measure of activity a visitor generates
on the website in terms of average time between
return visits.
• It is measured in logical groups or discrete numbers
of days between visits
• Data should be de-duplicated
• Reported as “once a day”, “once a Week”
• Can also be presented as average days between
visits or distribution of return visitors in each group
12/03/18 Professor V. Nagadevara
12. Loyalty, Frequency and Recency
• Recency is the number of days since the last
visit
• Reported as the number of visitors who
returned after d days
• Usually used in the context of online
purchase, “as the number of days since last
purchase”
• Recency is a moving target
12/03/18 Professor V. Nagadevara
13. Value Pyramid
12/03/18 Professor V. Nagadevara
Uniquely Identified Visitors
Unique Visitors
Visits
Page Views
Hits
Volume of Available Data
IncreasingValueofData
15. Authoritative Web Pages
• Search Engines need to retrieve relevant
pages which are of high quality or
Authoritative
• Authority is in the hyperlinks
• Hyperlink is an endorsement
• Collective endorsement of a given page by
different authors indicate its importance
16. Limitations
• Not All Links Are Meant for Endorsement
• Some Are Navigation
• Some Are for Paid Advertisement
• Commercial or Competitive Interests Avoid Links to
Rivals’ Pages
• Real Authoritative Pages Are Seldom Descriptive Eg.
“Web Search Engine”
17.
18. HUBs
• Hub is one or a set of web pages providing
collections of links to authorities
• Hub pages may not be prominent
• Have very few links pointing to them
• They provide a collection of prominent links to
a common topic
19. Hubs
• These could be
– Recommended links in individual home pages
– Recommended reference sites
– Professionally assembled resource lists
– Professional collection of commercial sites
20.
21. Hubs and Authorities
• A good hub is one which points to many good
authorities
• A Good authority is one which has many good
hubs pointing to it
• This mutual reinforcement is the basis for
mining
22. Page Rank Algorithm
• Static concept
– Computed off-line and does not depend on the
search query
– It can be regarded as the “prestige”
– “In-links” of page p are the hyperlinks from other
pages that point to page p. Ignore the in-links
from the same website
– “Out-links” of page p are the hyperlinks that point
to other pages from page p
23. Page importance
• A Hyperlink from a page pointing to another page is
an implicit endorsement (conveyance of authority) of
the target page. More in-links that page p has, the
more “Prestige” that page p has.
• Pages that point to page p also have their own
prestige. A page with higher prestige pointing to
page p is more important than a page with lower
prestige score pointing to the same page (page p)
• A page is more important if it is pointed to by other
important pages.
12/03/18 Professor V. Nagadevara
25. Why page Rank?
• Not influenced by search string
• Page rank values are computed and stored. A
look-up is done at the time of the query.
Hence very efficient
• Cannot be spammed. Not easy to create links
in other pages pointing to your page
• Cannot distinguish between pages that are
authoritative in general and those which are
authoritative on the query topic
12/03/18 Professor V. Nagadevara
26. Hypertext Induced Topic Search (HITS)
• HITS is search query dependent
• Uses Authority ranking and Hub ranking
• It sends a query q and collets t highest ranked
pages (200 in the original paper)-root set W
• Then it grows W by including any page pointed
to by a page in W and any page that points to a
page in W creating a larger set S.
• It limits the size by allowing each page in W to
bring in at most k pages (k=50 in the paper)
12/03/18 Professor V. Nagadevara
28. HITS
• Ranks according to the query topic.
• Provides more relevant authorities and hubs
• Easy to spam. Create a hub pointing to many
high ranking authorities. It will boost the H(i)
• Problem of topic drift. Expanding the root set
can lead to collecting irrelevant pages
• Time consuming
12/03/18 Professor V. Nagadevara
29. Layout of Search Results
Name Description Position
Organic Results from Web crawl. ‘‘Objective hits”
not influenced by direct payments
Central on results page
Sponsored Paid results, separated from the organic
results list
Above or below organic results, on
the right-hand side of the results list
Shortcuts Emphasized result pointing to results from a
special collection
Above organic results, within organic
results list
Primary search
result
Extended result that points to different
collections. It comes with an image
and further information
Above organic results, often within
organic results
Prefetch Result from a preferred source, emphasized
in the results set
Above or within organic results
Snippet Regular organic result with result
description extended by additional
navigational links
Within organic results list (usually
first position only)
Child Second result from the same server with a
link to further results from same server
Within organic results list; indented
12/03/18 Professor V. Nagadevara
30. Research Questions
• RQ1: How many sponsored links are on the results screen?
• RQ2: Are there popular hosts, domains, and content types
preferred by a certain search engine?
• RQ3: Is there a difference between search engines regarding
the results types presented?
• RQ4: How many specially displayed results are on the first
results page?
• RQ5: To what extent are shortcuts used on the results pages?
• RQ6: What is the difference between search engines regarding
the questions above?
12/03/18 Professor V. Nagadevara
31. Methodology
• Search engines Google, Yahoo, MSN/Live.com, and Ask.com.
• Obtained 500 queries from the 100k top queries and 500 from
the last 100k queries of long tail queries from Ask.com –
• Sorted the list of all queries by frequency and alphabetically.
• Selected every second hundredth query to make sure that there
is a representative selection over the popular and over the very
rare search queries in the long tail.
• a script developed to automatically download the search
engines’ results pages and to analyze the HTML code.
• categorized every single result in those pages into organic, paid
advertisements, snippets, etc.
12/03/18 Professor V. Nagadevara
38. Use of shortcuts in Google
Popular Rare
Count Position Count Position
Prefetch 170 1 69 1
Snippet 290 var 196 var
Images 9 1 5 1
Total 183 – 60 –
Shortcuts
Local Results 2 1 4 1
Video 108 var 127 var
Blog search 6 11+ 4 11+
Books 22 10+ 9 10+
Calculator 7 1 1 1
Dictionary 1 1 3 1
News 10 3/10 4 3/10
Scholar 3 1 2 1
Shopping 17 var 37 var
Weather 5 1 1 1
NASDAQ 2 1 – –
12/03/18 Professor V. Nagadevara