Social Media Monitoring — What you can learn from data [2] Social Media Monitoring — What you can learn from data [2] In the last article we described thoroughly what you can learn from the Internet monitoring data. We hope those tips were useful and valuable, but it is not the end of story. In this post we are happy to present some more applications of social media monitoring for your brand. Are ready for the next dose of useful knowledge? Scale of the discussion Not only the number of mentions is a good indicator of a brand’s popularity in the Internet, but also the social media reach and the number of contacts. These numbers help you study the range of your campaigns or of your brand in general, but also you can measure the actual value of the buzz. Identification of crucial users We devoted the whole article to describe how you can benefit from a cooperation with bloggers and vloggers. How can you reward your loyal clients? A good example of such an activity was presented in our article and it concerned a pizza giveaway.
Conclusion. An analysis of Twitter Influencers in the field of Data Science & Big Data. An analysis of Twitter Influencers in the field of Data Science & Big Data Objective The objective of this post is to illustrate how community detection and graph analysis can be utilized to locate influential users in a given domain of interest , in this instance, related to data derived from social media, and in particular Twitter. There are many real world use cases for this kind of analysis and there are a large number of tools for targeting consumers and professionals through Twitter. The real challenge is often identifying actual influencers, and this is the problem this project seeks to address.
Locating Influential Users There are several problems which make finding influencers difficult (see a previous post). Briefly, there are two main categories of problem: There is a large volume of noise in all interesting conversations. Methodology OODA LOOP for Social Media Analysis To solve this problem, we adapted a concept from Military Doctrine called the OODA Loop. Tempo Implicit Guidance. Are you ready for the mega-shift from social media to private media? Over the past few months I’ve seen a few trends coming together but I’m not sure I grasped the significance of what’s happening until I heard a recent comment from my 16-year-old nephew. Here is what I have seen occurring: WhatsApp has rapidly become the biggest messaging service in the world with more than 1 billion users.Snapchat is a juggernaut with the 18-24 age group, now earning more daily check-ins than Facebook.
The company founder insists it is “not a social network.”Facebook is the social network for most of the world, yet their major investment is in the development of private Facebook Messenger, including bots that would help companies scale “human” interaction through the service. More than 900 million people use Messenger now.Other private messaging services like Viber and Kik have established footholds with certain demographic groups and have attracted millions of users. And here is the quote from my young nephew: “Oh Facebook is dead. The rise of private media. Le réseau social préféré des jeunes: Instagram, Snapchat? Non, Facebook. Temps de lecture: 2 min — Repéré sur Re/Code, comScore Facebook est-il un «réseau social de vieux», comme le prétendent les jeunes?
Appartient-il déjà au passé? Le succès de plateformes de discussion et de nouvelles applications de messagerie, à l'image de Snapchat, et les témoignages de jeunes internautes semblaient conforter cette hypothèse. Mais, si l'on se penche sur les chiffres, le constat semble s'inverser. Une étude menée aux États-Unis par l'institut de mesure d'audience comScore et relayée par le site Re/Code montre que les internautes de la fameuse génération Y –aussi appelés «millenials», âgés de 18 à 34 ans– passent encore beaucoup de temps sur Facebook. Un aperçu de l'étude de comScore publiée en mars 2016.
Report: Ukraine has become Europe’s #1 IT outsourcing and software development powerhouse | ITOnews.eu. Nearly 100,000 Ukrainian programmers serve thousands of companies as the demand for IT workforce is constantly growing on the global market In spite of the country’s recent political turbulence, Ukraine has seen its IT service and software R&D sector grow every year by double-digit figures. From Cisco, to Oracle, to Rakuten, to Samsung, more than a hundred global major tech firms conduct R&D activities in Ukraine, while an array of local IT outsourcing companies of all types and sizes serve clients worldwide. Ukrainian developers often work on mobile, software, enterprise and web projects in a variety of verticals. A range of providers have build their reputation in solving complex engineering tasks. One may also find in Ukraine excellent resources for front-end development, UI/UX design, QA and other tasks.
The export volume of Ukraine’s software development industry reached at least $2.5 billion in 2015 (number 3 export sector. KEY FINDINGS Ukraine’s IT service industry. Email Marketing Benchmarks. Average Email Campaign Stats of MailChimp Customers by Industry There are a lot of numbers in MailChimp's free reports, but you might be wondering how your email-marketing stats compare to others in the same industry.
What kind of open rates should companies like yours expect? How many bounces are too many? What’s an acceptable abuse complaint rate? MailChimp sends billions of emails a month for more than 10 million users. We only tracked campaigns that went to at least 1000 subscribers, but these stats aren’t pulled from a survey of giant corporations with million-dollar marketing budgets and dedicated email-marketing teams. Updated: March 1, 2016 Average Email Campaign Stats of MailChimp Customers by Company Size What’s the average open rate for email-marketing campaigns? Tips for Improving Your Stats When it comes to subject lines, boring works best.
Pour le président du CNNum, le big data déshumanisé représente un grave danger. Mounir Mahjoubi, le nouveau président du Conseil National du Numérique, s'est chargé du discours d'ouverture de la conférence Big Data Paris, qui se déroule les 7 et 8 mars au Palais des Congrès. Il y a abordé tout l'éventail des sujets propres à la donnée en France, de la richesse historique des données issues de la recherche publique à l'importance d'avoir une politique d'open data pour faire fructifier ces ressources et en maximiser la valeur.
Il a aussi abordé les chantiers à venir, notamment les données fermées et peu utilisées que détient l'enseignement supérieur, et le besoin urgent d'innover à ce sujet pour rester pertinent. Car si ces établissements ne vont pas de l'avant, d'autres le feront à leur place... Le danger d'une automatisation à outrance Mounir Mahjoubi a également mis en garde contre les dérives potentielles liées au big data. Trop personnaliser les données, un danger ? Your Digital Strategy Shouldn’t Be About Attention. Are they talking about your brand? Around the clock? From Facefriend to Tweeter to Instapal? Pssst. That’s probably not the right question. Today, too many strategists believe that a clever plan to win the internet’s attention is a good digital strategy.
It’s not. Why? Institutions and leaders, obedient students of modern marketing, obsessively ask, “How do we get people to be loyal to us?” The real question — the one that counts for leaders and institutions today — isn’t “How loyal can we compel, seduce, or trick our customers into being?” So here are my top four mistakes of digital strategy — and how not to make them. Titillating, not educating. Making zombies, not superheroes. When a company asks “how loyal can we be to our customers?” Infecting, not connecting. Consider Mr Porter, the man-cousin of Net-a-Porter. Communicating, not elevating. Instead, focus on giving people what matters most to them — but what they feel cheated of, stymied from, and suffocated by at every turn.