Digital Winners 2013: Aleksander stensbyTelenor Group
This document discusses using social intelligence and analytics to understand consumer brands. It highlights how capturing and interpreting signals from social media and other enterprise data in real-time can provide competitive advantages over time. The document also shows how a social media analytics platform can integrate data from various sources to measure brand sentiment and identify topics people are discussing about a brand.
Matthew Russell's "Unleashing Twitter Data for Fun and Insight" presentation from Strata 2011. Matthew Russell's "Unleashing Twitter Data for Fun and Insight" presentation from Strata 2011. See http://strataconf.com/strata2011/public/schedule/detail/17714 for an overview of the talk.
Can Digital Data help predict the results of the US elections? Laurence Borel
The document analyzes digital data and social media metrics to compare support for Hillary Clinton and Donald Trump during the 2016 US presidential election. It finds that while Trump had greater overall online mentions and social media followers, Clinton's campaign website received more traffic and engagement. Sentiment toward Clinton winning the election was slightly positive, while sentiment toward a Trump victory was strongly negative. The document concludes the data suggests Clinton had an edge over Trump in terms of online support and perception during the period analyzed.
The document discusses analyzing and visualizing real-time Twitter data. It motivates the research by describing Twitter's growth and issues with analyzing event-based Twitter data. It then reviews existing Twitter analysis tools and outlines a new tool called TwitterSuitcase that categorizes and visualizes Twitter data during events. TwitterSuitcase is demonstrated on Twitter data related to a MOOCs conference, extracting information like popular hashtags, users, links, and software used. The conclusion discusses expanding TwitterSuitcase to better analyze and visualize geotagged tweets and retweets.
Tip from IBM Connect 2014: Socialytics = Social Business, Big Social Data and...SocialBiz UserGroup
In this tip, speaker Scott Padget explains how socialytics provides customer and competitive insights as well as real-time operational insights. He introduces the SIFT (Social Intelligence Fusion Toolkit) Solution that funnels big social data into actionable business intelligence. Scott also describes the lifecycle of socialytics and gives a live demo. Obviously, the slides don’t capture the exact live demo, but they do show some screenshot examples of the SIFT Solution in action.
Business Models in the Data Economy: A Case Study from the Business Partner D...Boris Otto
The document presents a case study analysis of business models in the business partner data domain. Six business partner data providers are examined based on their offerings, activities, resources, and business model patterns. A positioning framework is developed that categorizes data providers based on their data sourcing approach and pricing models. The study finds three common business model patterns - buyer-supplier relationships, community sourcing, and crowd sourcing. It contributes to the limited research on business models in the intangible data economy domain.
Digital Winners 2013: Aleksander stensbyTelenor Group
This document discusses using social intelligence and analytics to understand consumer brands. It highlights how capturing and interpreting signals from social media and other enterprise data in real-time can provide competitive advantages over time. The document also shows how a social media analytics platform can integrate data from various sources to measure brand sentiment and identify topics people are discussing about a brand.
Matthew Russell's "Unleashing Twitter Data for Fun and Insight" presentation from Strata 2011. Matthew Russell's "Unleashing Twitter Data for Fun and Insight" presentation from Strata 2011. See http://strataconf.com/strata2011/public/schedule/detail/17714 for an overview of the talk.
Can Digital Data help predict the results of the US elections? Laurence Borel
The document analyzes digital data and social media metrics to compare support for Hillary Clinton and Donald Trump during the 2016 US presidential election. It finds that while Trump had greater overall online mentions and social media followers, Clinton's campaign website received more traffic and engagement. Sentiment toward Clinton winning the election was slightly positive, while sentiment toward a Trump victory was strongly negative. The document concludes the data suggests Clinton had an edge over Trump in terms of online support and perception during the period analyzed.
The document discusses analyzing and visualizing real-time Twitter data. It motivates the research by describing Twitter's growth and issues with analyzing event-based Twitter data. It then reviews existing Twitter analysis tools and outlines a new tool called TwitterSuitcase that categorizes and visualizes Twitter data during events. TwitterSuitcase is demonstrated on Twitter data related to a MOOCs conference, extracting information like popular hashtags, users, links, and software used. The conclusion discusses expanding TwitterSuitcase to better analyze and visualize geotagged tweets and retweets.
Tip from IBM Connect 2014: Socialytics = Social Business, Big Social Data and...SocialBiz UserGroup
In this tip, speaker Scott Padget explains how socialytics provides customer and competitive insights as well as real-time operational insights. He introduces the SIFT (Social Intelligence Fusion Toolkit) Solution that funnels big social data into actionable business intelligence. Scott also describes the lifecycle of socialytics and gives a live demo. Obviously, the slides don’t capture the exact live demo, but they do show some screenshot examples of the SIFT Solution in action.
Business Models in the Data Economy: A Case Study from the Business Partner D...Boris Otto
The document presents a case study analysis of business models in the business partner data domain. Six business partner data providers are examined based on their offerings, activities, resources, and business model patterns. A positioning framework is developed that categorizes data providers based on their data sourcing approach and pricing models. The study finds three common business model patterns - buyer-supplier relationships, community sourcing, and crowd sourcing. It contributes to the limited research on business models in the intangible data economy domain.
Analyzing social conversation: a guide to data mining and data visualization Tempero UK
These slides were presented by Mick Conroy of Tempero and Jonathan Stray of Associated Press/Overview Project as part of Social Media Week New York #smwnyc
Data Driven PR: 8 Steps to Building Media Attention with ResearchWalkerSands
Do you want to learn how your internal data can be used to gain media coverage in The New York Times, USA Today, and Mashable? Or how a simple consumer survey can lead to hundreds of new leads for your business?
Learn how in this presentation from Mike Santoro, President of tech PR firm Walker Sands, and Andrea Kempfer, Director of Marketing at market research firm Lab42.
The recorded presentation can be viewed at: http://www.walkersands.com/Data-Driven-PR-Webinar
In this talk we outline some of the key challenges in text analytics, describe some of Endeca's current research work in this area, examine the current state of the text analytics market and explore some of the prospects for the future.
This document discusses market mix models and some of the challenges involved in their use. It begins by explaining how marketers turned to more scientific approaches like market mix models to address demands for accountability and ROI assessment. However, several challenges were overlooked, including misunderstanding what models can and cannot do, data integration issues, and the limitations of only using observational data. The document then provides an overview of how market mix models work today and some of the technical issues that must be addressed, such as collinearity of factors, data quality problems, and endogeneity. It concludes by noting the need to accommodate different effects like carryover, diminishing returns, and cross-sectional differences across segments.
Topic and text analysis for sentiment, emotion, and computational social scienceAlice Oh
The document discusses research being conducted on topic modeling, computational social science, and analyzing sentiment and emotions. It provides an overview of recent works on topic modeling and modeling topic hierarchies. It also discusses research on analyzing aspects and sentiments of online reviews and analyzing social aspects of emotions and self-disclosure behaviors in Twitter conversations.
Text Analytics Past, Present & Future: An Industry ViewSeth Grimes
This document provides an overview of text analytics from the past to the present and future. It discusses how text analytics has evolved from early pioneers using word frequencies to current applications in domains like customer experience management and sentiment analysis. The document also outlines the commercial landscape of text analytics vendors and common decision criteria when selecting a solution, such as support for multiple languages and integration with business intelligence. Finally, the document speculates on the future of text analytics incorporating additional data types like audio, video and images to provide more context and derive deeper insights.
This document provides an overview of using data mining and text mining techniques to analyze patent documents. It discusses text mining processes like preprocessing, transformation, and feature selection. It also demonstrates various visualizations that can be used, including word clouds, hierarchical clustering, and contour plots. Finally, it compares the R and KNIME tools for performing text mining and data analysis on patent documents.
A deck presented at the MRS 'Maximising the Value of Big Data' conference in London, January 2013.
Presents my view of big data and the potential it gives us for mapping the systems that we deal with on a day-to-day basis. Big data holds the promise of providing us with a meta-view of the systems that we all think we are so familiar with. I think we will find that the woods look nothing like the trees.
Learn How a New Kind of Marketing Mix Modeling is Better for Media PlanningThinkVine
This presentation discusses the use of agent-based modeling and its proven advantages to media planners, including the abilities to create effective media plans based on consumer differences, accurately attribute results to media tactics, quantify long-term effects, and forecast sales and ROI results.
This presentation explains how brands can mine social media data, both text and images, in order to find insights about your customers and markets that can provide real business value.
The document provides step-by-step instructions for building a basic model in Analytica. It describes how to create variables, enter attributes, define relationships between variables, and view/edit variables. Key steps include creating variable nodes, linking them with arrows to show influence, entering titles, units and definitions, and using the object window and expression assist for defining variables based on other inputs. The overall process involves structuring the model layout, defining all variables needed for calculations, and checking for errors in the relationships.
Staying on the Right Side of the Fence when Analyzing Human DataDataSift
This document summarizes a presentation on analyzing human data ethically. It discusses how data collection has become more intimate, consumers lack control over their data and distrust how it is used. Five principles of ethical data use are outlined: being beneficial, progressive, sustainable, respectful and fair. Case studies demonstrate how companies apply these principles in areas like continuous improvement, transparency and considering all stakeholders. The presentation argues for a privacy-first approach to data insights that provides aggregate, anonymized analysis to benefit both businesses and consumers in a way that builds trust.
This document discusses Acxiom's evolution from traditional data sources like telephone directories to today's wide range of data sources. It outlines Acxiom's capabilities in data identification, matching individuals to data from various sources, and activating data for marketing across different channels. The document promotes Acxiom's large consumer profile database, leadership in data security and privacy, and role in connecting partners through its technology platforms and global data coverage.
Data-Driven PR Metrics: Share of Voice, Competitive Benchmarking, CorrelationsSandra Fathi
Presentation given at eMetrics Summit in San Francisco on April 1, 2015. Covers PR measurement through three specific tactics - share of voice, competitive benchmarking and correlations.
When to use the different text analytics tools - Meaning CloudMeaningCloud
Classification, topic extraction, clustering... When to use the different Text Analytics tools?
How to leverage Text Analytics technology for your business
MeaningCloud webinar, February 8th, 2017
More information and recording of the webinar https://www.meaningcloud.com/blog/recorded-webinar-use-different-text-analytics-tools
www.meaningcloud.com
W prezentacji znajdziecie:
1. Dane na temat popularności Euro, które uzasadniają tak wzmożoną działalność marketingową wielu marek.
2. Najczęstsze schematy wykorzystania piłkarskich celebrytów.
3. Przykłady wykorzystania humoru związanego z piłką nożną.
4. Możliwości multiscreeningu reklam podczas eventów.
TV Sync to możliwość synchronizacji reklamy telewizyjnej z reklamami online. W dobie multiscreeningu to ważne narzędzia dla reklamodawców, którzy chcą dotrzeć do swoich użytkowników na różnych urządzeniach tworząc spójny komunikat.
Czasami bywa tak, że na fali jednego sukcesu zawodowego przekładamy sprawdzone metody na inne projekty, oczekując podobnych rezultatów. Czy ta metoda jednak zawsze działa? O jakich podstawowych zasadach powinni pamiętać marketerzy przy tworzeniu koncepcji marketingowych?
Multiscreening, czyli podejście wieloekranowe w marketingu cieszy się coraz większą popularnością, ze względu na sposób, w jaki użytkownicy korzystają z urządzeń. Chcą szybkiego dostępu do informacji i rozrywki, przez co marki stają przed nowym wyzwaniem. Zobacz, co powinieneś wiedzieć o tym zjawisku, aby dobrze planować działania marketingowe i reklamowe na różne urządzenia.
Rodzaje retargetingu - retargeting dynamiczny, retargeting statyczny, retargeting według częstotliwości, lokalizacji, ostatnich aktywności, na podstawie konwersji i emailingu.
Analyzing social conversation: a guide to data mining and data visualization Tempero UK
These slides were presented by Mick Conroy of Tempero and Jonathan Stray of Associated Press/Overview Project as part of Social Media Week New York #smwnyc
Data Driven PR: 8 Steps to Building Media Attention with ResearchWalkerSands
Do you want to learn how your internal data can be used to gain media coverage in The New York Times, USA Today, and Mashable? Or how a simple consumer survey can lead to hundreds of new leads for your business?
Learn how in this presentation from Mike Santoro, President of tech PR firm Walker Sands, and Andrea Kempfer, Director of Marketing at market research firm Lab42.
The recorded presentation can be viewed at: http://www.walkersands.com/Data-Driven-PR-Webinar
In this talk we outline some of the key challenges in text analytics, describe some of Endeca's current research work in this area, examine the current state of the text analytics market and explore some of the prospects for the future.
This document discusses market mix models and some of the challenges involved in their use. It begins by explaining how marketers turned to more scientific approaches like market mix models to address demands for accountability and ROI assessment. However, several challenges were overlooked, including misunderstanding what models can and cannot do, data integration issues, and the limitations of only using observational data. The document then provides an overview of how market mix models work today and some of the technical issues that must be addressed, such as collinearity of factors, data quality problems, and endogeneity. It concludes by noting the need to accommodate different effects like carryover, diminishing returns, and cross-sectional differences across segments.
Topic and text analysis for sentiment, emotion, and computational social scienceAlice Oh
The document discusses research being conducted on topic modeling, computational social science, and analyzing sentiment and emotions. It provides an overview of recent works on topic modeling and modeling topic hierarchies. It also discusses research on analyzing aspects and sentiments of online reviews and analyzing social aspects of emotions and self-disclosure behaviors in Twitter conversations.
Text Analytics Past, Present & Future: An Industry ViewSeth Grimes
This document provides an overview of text analytics from the past to the present and future. It discusses how text analytics has evolved from early pioneers using word frequencies to current applications in domains like customer experience management and sentiment analysis. The document also outlines the commercial landscape of text analytics vendors and common decision criteria when selecting a solution, such as support for multiple languages and integration with business intelligence. Finally, the document speculates on the future of text analytics incorporating additional data types like audio, video and images to provide more context and derive deeper insights.
This document provides an overview of using data mining and text mining techniques to analyze patent documents. It discusses text mining processes like preprocessing, transformation, and feature selection. It also demonstrates various visualizations that can be used, including word clouds, hierarchical clustering, and contour plots. Finally, it compares the R and KNIME tools for performing text mining and data analysis on patent documents.
A deck presented at the MRS 'Maximising the Value of Big Data' conference in London, January 2013.
Presents my view of big data and the potential it gives us for mapping the systems that we deal with on a day-to-day basis. Big data holds the promise of providing us with a meta-view of the systems that we all think we are so familiar with. I think we will find that the woods look nothing like the trees.
Learn How a New Kind of Marketing Mix Modeling is Better for Media PlanningThinkVine
This presentation discusses the use of agent-based modeling and its proven advantages to media planners, including the abilities to create effective media plans based on consumer differences, accurately attribute results to media tactics, quantify long-term effects, and forecast sales and ROI results.
This presentation explains how brands can mine social media data, both text and images, in order to find insights about your customers and markets that can provide real business value.
The document provides step-by-step instructions for building a basic model in Analytica. It describes how to create variables, enter attributes, define relationships between variables, and view/edit variables. Key steps include creating variable nodes, linking them with arrows to show influence, entering titles, units and definitions, and using the object window and expression assist for defining variables based on other inputs. The overall process involves structuring the model layout, defining all variables needed for calculations, and checking for errors in the relationships.
Staying on the Right Side of the Fence when Analyzing Human DataDataSift
This document summarizes a presentation on analyzing human data ethically. It discusses how data collection has become more intimate, consumers lack control over their data and distrust how it is used. Five principles of ethical data use are outlined: being beneficial, progressive, sustainable, respectful and fair. Case studies demonstrate how companies apply these principles in areas like continuous improvement, transparency and considering all stakeholders. The presentation argues for a privacy-first approach to data insights that provides aggregate, anonymized analysis to benefit both businesses and consumers in a way that builds trust.
This document discusses Acxiom's evolution from traditional data sources like telephone directories to today's wide range of data sources. It outlines Acxiom's capabilities in data identification, matching individuals to data from various sources, and activating data for marketing across different channels. The document promotes Acxiom's large consumer profile database, leadership in data security and privacy, and role in connecting partners through its technology platforms and global data coverage.
Data-Driven PR Metrics: Share of Voice, Competitive Benchmarking, CorrelationsSandra Fathi
Presentation given at eMetrics Summit in San Francisco on April 1, 2015. Covers PR measurement through three specific tactics - share of voice, competitive benchmarking and correlations.
When to use the different text analytics tools - Meaning CloudMeaningCloud
Classification, topic extraction, clustering... When to use the different Text Analytics tools?
How to leverage Text Analytics technology for your business
MeaningCloud webinar, February 8th, 2017
More information and recording of the webinar https://www.meaningcloud.com/blog/recorded-webinar-use-different-text-analytics-tools
www.meaningcloud.com
W prezentacji znajdziecie:
1. Dane na temat popularności Euro, które uzasadniają tak wzmożoną działalność marketingową wielu marek.
2. Najczęstsze schematy wykorzystania piłkarskich celebrytów.
3. Przykłady wykorzystania humoru związanego z piłką nożną.
4. Możliwości multiscreeningu reklam podczas eventów.
TV Sync to możliwość synchronizacji reklamy telewizyjnej z reklamami online. W dobie multiscreeningu to ważne narzędzia dla reklamodawców, którzy chcą dotrzeć do swoich użytkowników na różnych urządzeniach tworząc spójny komunikat.
Czasami bywa tak, że na fali jednego sukcesu zawodowego przekładamy sprawdzone metody na inne projekty, oczekując podobnych rezultatów. Czy ta metoda jednak zawsze działa? O jakich podstawowych zasadach powinni pamiętać marketerzy przy tworzeniu koncepcji marketingowych?
Multiscreening, czyli podejście wieloekranowe w marketingu cieszy się coraz większą popularnością, ze względu na sposób, w jaki użytkownicy korzystają z urządzeń. Chcą szybkiego dostępu do informacji i rozrywki, przez co marki stają przed nowym wyzwaniem. Zobacz, co powinieneś wiedzieć o tym zjawisku, aby dobrze planować działania marketingowe i reklamowe na różne urządzenia.
Rodzaje retargetingu - retargeting dynamiczny, retargeting statyczny, retargeting według częstotliwości, lokalizacji, ostatnich aktywności, na podstawie konwersji i emailingu.
7 powodów dla których będziesz chciał z nami zostać na zawszeSparc Media Poland
7 powodów dla których będziesz chciał z nami zostać na zawsze - nieważne czy już z nami współpracujesz czy dopiero się zastanawiasz. Spośród wieeeelu powodów wybraliśmy 7. Chcesz usłyszeć więcej? Skontaktuj się z nami: agnieszka.moleda@sparcmedia.com
Prezentacja Karoliny Semeniuk z Kongresu Online Marketing 2015
Co oznacza, że niewykorzystane okazje lubią się mścić?
Jak wykorzystać dane, które zbieramy o użytkownikach, aby zaserwować im komunikację, która odpowiada im faktycznym potrzebom?
Jakie są najczęściej popełniane błędy przez marketerów, które lubią się mścić?
Jaką taktykę reklamową obrać na najbliższy sezon?
Przed publikacją raportu, który ukaże się 9 marca, prezentujemy wyniki badań w oparciu o badanie kwestionariuszowe, które przeprowadziliśmy z osobami zajmującymi się marketingiem zawodowo. Celem badania było określenie sytuacji modelu RTB oraz kampanii on-line w Polsce.
Case Study - Writing Letters Marathon campaign for Amnesty InternationalSparc Media Poland
Letter Writing Marathon is to release of unjustly imprisoned political convicts from all over the world. That is why thousands people decided to send letters to ministers, members of governments and influential people to lighten the problem.
The goal of campaign was to gather as many donations as possible for stamps dedicated for sending letters during Marathon.
Our job was to prepare rich media creation for mobile, Facebook news feed, and display banners. Rich media format was presented when user clicked on the advertisement within his Facebook news feed.
Importance of Customer Service in Fashion IndustryShantilal Hajeri
Fashion Industry is a highly specialised and personalised field. Customer Service is more important in fashion indsutry since the taste, choice and expectations of each customer are different.
How to Start Affiliate Marketing with ChatGPT- A Step-by-Step Guide (1).pdfSimpleMoneyMaker
Discover the power of affiliate marketing with ChatGPT! This comprehensive guide takes you through the process of starting and scaling your affiliate marketing business using the latest AI technology. Learn how to leverage ChatGPT to generate content ideas, create engaging articles, and connect with your audience through personalized interactions. From building your strategy and optimizing conversions to analyzing performance and staying updated with industry trends, this eBook provides everything you need to know to succeed in affiliate marketing. Whether you're a beginner looking to start your online business or an experienced marketer wanting to take your efforts to the next level, this guide is your roadmap to success in the world of affiliate marketing.
Top 10 AI Trends to Watch in 2024 with Intelisyncnehapardhi711
As we advance further into the digital age, artificial intelligence (AI) continues to evolve, shaping various industries and aspects of our daily lives. The advancements in AI for 2024 promise significant transformations across multiple sectors. From agentic AI and open-source AI to AI-powered cybersecurity and sustainability, these trends highlight the growing influence of AI on our world. By staying informed and embracing these trends, businesses and individuals can harness the power of AI to innovate and thrive.
This article explores the top 10 AI trends to watch in 2024, providing an overview, impact, and examples of each trend.
Top 10 AI Trends to Watch in 2024
Trend 1: Agentic AI
Overview of Agentic AI
Agentic AI represents a fundamental shift in artificial intelligence. These AI systems are designed to comprehend complex workflows and pursue difficult objectives autonomously, with minimal human assistance. Essentially, agentic AI functions similarly to human employees, understanding intricate contexts and instructions in normal language, defining goals, deducing subtasks, and adapting actions to changing circumstances.
Impact of Agentic AI
Agentic AI has the potential to drastically alter organizational roles, procedures, and relationships. AI assistants with advanced thinking and planning capabilities can perform tasks previously managed by humans. This shift enhances productivity by fully automating complex processes, freeing workers from repetitive tasks to focus on more critical activities. The ability to adapt quickly to changing circumstances ensures continuous operational improvements.
Examples and Use Cases of Agentic AI
Autonomous Vehicles: Self-driving cars use agentic AI to navigate roads, interpret traffic signals, and make real-time decisions to ensure passenger safety.
Smart Home Devices: AI-powered home assistants, like smart thermostats and security systems, operate autonomously to optimize energy usage and enhance security.
Customer Service Bots: Advanced chatbots handle complex customer queries, provide solutions, and escalate issues to human agents when necessary.
Trend 2: Open Source AI
Overview of Open Source AI
Open-source AI involves freely available source code, encouraging developers to collaborate, use, adapt, and share AI technology. This openness fosters innovation and speeds up the development of practical AI solutions across various sectors, including healthcare, finance, and education.
Impact of Open Source AI
The collaborative nature of open-source AI promotes transparency and facilitates continuous improvement, leading to feature-rich, reliable, and modular solutions. These platforms enable the creation of applications such as real-time fraud detection, medical image analysis, personalized recommendations, and customized learning experiences.
Examples and Use Cases of Open Source AI
TensorFlow: An open-source machine learning framework by Google, widely used for building and deploying AI models.
AI Best Practices for Marketing HUG June 2024Amanda Farrell
During this presentation, the Nextiny marketing team reviews best practices when adopting generative AI into content creation. Join our HUG community to register for more events https://events.hubspot.com/sarasota/
E-Learning Vs Traditional Learning_ Benefits and Differences.pdfMega P
E-learning and traditional learning are two distinct approaches to education, each offering unique advantages and facing specific challenges. E-learning provides flexibility and convenience, allowing students to access materials and complete assignments at their own pace and schedule. Traditional learning fosters direct, face-to-face interaction between students and instructors, which can enhance communication, immediate feedback, and a sense of community.
Embark on style journeys Indian clothing store denver guide.pptxOmnama Fashions
Finding the perfect "Indian Clothing Store Denver" is essential for those seeking vibrant, authentic, and culturally rich attire in the heart of Colorado. Denver, a city known for its diverse culture and eclectic fashion scene, offers a variety of options for those in search of traditional and contemporary Indian clothing. Whether you're preparing for a wedding, festival, or cultural event, or simply wish to incorporate the elegance and beauty of Indian fashion into your wardrobe, discovering the right store can make all the difference.
3 Best “Add to Calendar” Link Generator Tools (2024)Y
“Add to Calendar” link generator tools allow users to create links that add events directly to digital calendars like Google Calendar, Apple Calendar, and Outlook.
These tools simplify event scheduling by generating short URLs or QR codes that, when clicked or scanned, automatically insert event details into a user’s calendar.
They are ideal for streamlining the promotion of events in emails, websites, and social media, enhancing engagement and ensuring attendees don’t miss important dates.
These tools are designed to cater to diverse needs, from personal event planning to professional event promotion, ensuring your attendees can easily add events to their preferred calendar.
Cal.et is a versatile and user-friendly tool that allows you to create “Add to Calendar” links for seamless event scheduling and promotion.
INTRODUCTION TO SEARCH ENGINE OPTIMIZATION (SEO).pptxGiorgio Chiesa
This presentation is recommended for those who want to know more about SEO. It explains the main theoretical and practical aspects that influence the positioning of websites in search engines.
From Subreddits To Search: Maximizing Your Brand's Impact On RedditSearch Engine Journal
The search landscape is undergoing a seismic shift, and Reddit is at the epicenter. Google's Helpful Content Update and its $60 million deal with Reddit, coupled with OpenAI's partnership, have catapulted Reddit's real-time content to unprecedented heights.
Check out this insightful webinar exploring the newfound importance of Reddit in the digital marketing landscape. Learn how these changes make Reddit an essential platform for getting your brand and content in front of evolving search audiences.
You’ll hear:
- The evolution of Reddit as a major influencer on SERPS over the years.
- The impact of recent changes and partnerships on Reddit’s place in search.
- A comprehensive look at Reddit, how it works, and how to approach it.
- Unique engagement opportunities presented by Reddit.
With Brent Csutoras, a Reddit expert with over 18 years of experience on the platform, we’ll delve into the intricacies of Reddit's communities, known as Subreddits, and how to leverage their power without compromising authenticity or violating community guidelines in the age of AI-driven search experiences.
Don't miss this opportunity to stay ahead of the curve and leverage Reddit for your brand's success.
THE STORY COMMUNICATION Credential 2024.pptxhuyenngo62
The Story Communication là công ty quảng cáo truyền thông tích hợp (IMC) được xây dựng trên thế mạnh về Digital & Performance.
#Assemble #Integrity #Transformation #Initiative
The Future of B2B Audience Targeting with LinkedInTajul Islam
Tired of pouring money into LinkedIn ads that don't convert?
A marketer’s guide to unlocking the full potential of LinkedIn’s extensive targeting resources and partner tools.
There's a better way. This guide unlocks the secrets to laser-targeting your ideal B2B audience on LinkedIn. Forget generic campaigns. We'll show you how to combine LinkedIn's advanced features with your existing customer data to reach high-value decision-makers directly. Imagine reaching the exact companies and people who can benefit most from your product or service.
Download our free eBook and discover a data-driven approach to LinkedIn marketing that delivers real results. Stop chasing the wrong audience – start targeting the right ones today
Digital Marketing Company in India - DIGI BrooksDIGI Brooks
This infographic provides guidance on marketing analytics, helping businesses grow using tools like Google Analytics and AI, measuring ROI, and analysing future trends to track business development.
https://digibrooks.com/digital-marketing-services/