網站分析 | 溫厝的543 之前分享過 Google Analytics 網站分析 Dark Social 初探543 這篇，對於Facebook在網路行銷…更精準的說法應該是..對“導流量回網站"到底有什麼幫助? 老實說~ 我個人的觀察和結論是:越來越沒有、因為大部分的人都是在Facebook中看完就結束，只有極少部分的人會再點擊FB發文中的連結! Facebook有越來越"封閉"自己網站、那社交圈圈中的趨勢，不只是使用者習慣(包含閱讀習性) 的問題，連手機版本都為了安全當你連結外部網站時，會有"警告訊息“這樣的提示、不斷減少FB使用者"離開"Facebook的"隱藏制約"教育。 當然、這並非告訴朋友們FB粉絲頁就不要經營或是不需要導流量回網站!! 畢竟FB粉絲頁是經營品牌者最佳和客戶、消費者近距離接觸的管道，他不只有"真實性“、"非匿名“等特徵，更是最低成本獲得最大成效的好管道，更不用說能夠做到"精準瞄準目標對象“以及"區隔市場“…等等多項對從事網路行銷或是廣告的人來說不需要"亂槍打鳥“的一塊寶地!! 所以千萬不要誤解我的觀察結論!! 好啦~ 最重要的結論說完了~ 接下來是我這篇剩下的紀錄資料~ 開始之前先描述一下這實驗的過程: 1. 2. 3. 遺憾之處: 本來特別希望隔開時間，也觀察實際招生報名狀況，但開課單位一直沒有提供這兩周特定區隔的報名人數，只說了個"快額滿“這樣的訊息，我在結果上就少了比較觀察"真實效應"的數據資料了~ 好吧~ 最多只能說、這真的很有效 這樣的結論了~ 接著、就來看看這兩則發文之後的真實數據資料了~ 首先、無推廣在發文三天後這則文張相關的數據資料。 為何是三天、這是因為之前我的長期觀察，在Facebook的發文壽命，平均最多只會有三天的存在狀態，三天之後基本上就消失在這社交網站的茫茫大海之中了~ 除非、他有特別帶出的"話題性" ，否則這是一般的發文正常"壽命" !! 接著、推廣5天精準目標對象的推廣之後的實際資料。 可以看出"有付錢效應差很多“的現實狀況! 繼續閱讀 前一篇 跟大家談過 “績效和指標" ，並且也利用這觀念延伸到透過 Google Analytics 網站分析這一項工具服務計算 品牌知名度 的運用。 接下來要繼續和朋友們聊聊怎麼寫 “網站分析報告" !! 怎麼樣才是一份好的"網站分析報告" !! 這篇就特別把我對這一篇文章的心得整理，分享給大家參考了~ 繼續閱讀 繼續閱讀
Nonresponse in Social Science Surveys: A Research Agenda For many household surveys in the United States, responses rates have been steadily declining for at least the past two decades. A similar decline in survey response can be observed in all wealthy countries. Efforts to raise response rates have used such strategies as monetary incentives or repeated attempts to contact sample members and obtain completed interviews, but these strategies increase the costs of surveys. This review addresses the core issues regarding survey nonresponse. It considers why response rates are declining and what that means for the accuracy of survey results. The survey community is painfully aware of these trends and has responded aggressively to these threats.
The Distortion of Sound The movie was presented by Harman International Industries and is available on YouTube on the channel with the same name of the film. The trailer of the film was also available on YouTube. The film, as well as the trailer, was available on the official website of the film.[3][4][5] The film is also available for purchase on Google Play.[6] The film was premiered in Los Angeles on July 10, 2014.[7][8] Plot[edit] Saying that compressed music, MP3s and streaming, have diminished the quality and flattened the emotion. Cast[edit] The film includes the following various musical artists:[9] Clips[edit] The original film included clips of interviews. Music[edit] The original score for the film was composed by Lorne Balfe.[21] Whereas the film used only three songs out of which one is the collaboration between Linkin Park and Steve Aoki, and the other two songs are performed by Lianne La Havas. Reference[edit]
Introduction to Linux Develop a good working knowledge of Linux using both the graphical interface and command line, covering the major Linux distribution families. Linux powers 94% of the world’s supercomputers, most of the servers powering the Internet, the majority of financial trades worldwide and a billion Android devices. In short, Linux is everywhere. It appears in many different architectures, from mainframes to server to desktop to mobile and on a staggeringly wide variety of hardware. Moreover, 97 percent of hiring managers reported that they will prioritize hiring Linux talent relative to other skills areas in the next six months, and 44 percent of hiring managers saying they’re more likely to hire a candidate with Linux certification. This course explores the various tools and techniques commonly used by Linux system administrators and end users to achieve their day-to-day work in a Linux environment.
Digital Marketing Day | Conférences et visio conférences pour faire le plein d'innovations et de bonnes pratiques. 管道 Channels – 來自不同管道的訪客價值比較 | Google Analytics 網站分析教學與課程規劃 說到管道 Channels.. 正如同我們這幾個禮拜積極討論與介紹的 Google Analytics 網站分析改版變化與觀察，也像是在上週提到一個較全面的 ABC Cycle 網站分析概念所提到的，全新攬客 Acquisition 報表中新增了幾張全新的報表，而這些報表雖說其分析技術與原理其實並無不同，只是將一樣的數據整合成更帶有 “訊號" 的報表。但只是因為這小小的預設處理，相信會讓 Google Analytics 網站分析進入與操作門檻降至更低，也可以加速我們從報表中觀察與看清網站經營、行銷策略下的美麗與哀愁!! 像是待會主要要來談論的，攬客 Acquisition 中的 “管道" 數據整理，其實就像是我們之前在 “進階區隔" 中提到的在一張報表中將不同來源的訪客進行分類，以便我們透過相同基準點但不同管道來源的行為數據，更可以準確判斷網站經營的成果或機會。 那麼，現在就趕快讓我們來看看這全新管道的數據檢視與根據不同經營策略新增管道分組的辦法吧!! 順便一提：這個月初剛改版時，頻道名稱重複使用 “轉換" 這詞才在上個禮拜將其中一標題改為 “攬客" 。 預設管道 Channels 分組 首先先讓我們進入這管道 Channels 報表，如上圖會先看到預設管道 Channels 分組的個別數據表現。 但除了以上較常見的管道分組外，若是有透過採購關鍵字廣告、其他網站橫幅館告或是 Email 而進入網站的訪客，也會被各自分類到所屬的分組中。 自訂管道 Channels 分組 當然，雖說以上預設的管道 Channels 分組可以讓我們快速針對一些較常見的分組進行比較，但有時我們還是有不同的網站分析需求，這時就可以進入 Google Analytics 網站分析 > 管理員頁面中的檢視(設定檔) > 管道分組頁面後，點選名稱 “Default Channel Grouping" 就可以先看到不同的預設管道定義如上圖，接著點擊畫面上的 “定義新管道" 就可以選擇目前 Google Analytics 網站分析所有可以辨識的管道來源了。 如上面最後一張圖的規則定義，就是定義新管道、來自於 yahoo 網域的訪客後。 題外話： 進入管理員 > 管道分組設定頁面可以從這些預設系統定義好的規則去察看設定方式外，也可利用編輯加入個人經營網站所需要增加的條件。 在今天的管道 Channels 之後…
ParStream And Panopticon Partner To Provide Analytics And Data ParStream and Panopticon are partnering to offer data analytics and data visualization by integrating their respective platforms. ParStream offers an in-memory analytics technology that offers sub-second response. Panopticon is known for its visual analytics and in-memory engine that can push out graphics in an event stream. ParStream has $5.6 million in Series A funding from Khosla Ventures. ParStream is considered a solid player in the database market for its hybrid technology that only keeps the “hot data” in-memory, thereby reducing the amount of data it processes for a query. As I wrote last August: “The data is stored in columns, which is better for analytical purposes, and focuses on fast response times and parallel processing. ParStream provides a real-time big data analytics platform that filters and analyzes billions of records in sub-second time while continuously importing new data. → Learn more
About - Senator Club I am not a sales expert. Whatever ideas I share with you about ‘how to sell your product’ has probably already been said before. Therefore, the only difference is how I say it. My goal with the Senator Club is to share with you what’s worked for me over the past 10 years. See, my sales experience did not begin with formal training. The positive results I see today are merely a product of self-education. I gather my ideas from reading sales books and blogs, attending webinars, and learning from people just like you. Every day I learn a little bit more. Local & Long-Distance Services When I was 17, I started out selling local & long-distance telecommunication services for a MLM company. Traditionally in MLM companies, you make more money selling others on the opportunity to “start their own business” than actually selling the core product. And though I became quite good at it. So I got out of the business to go where the real money was. Investment Banking You can make a fortune in finance.
Mooc: HEC et Polytechnique créent un cours de création de start-up sur Coursera 01Business le 24/12/14 à 10h30 La création de start-up high tech aura bientôt son cours en ligne sous l'égide de deux grandes écoles prestigieuses : HEC et l'école Polytechnique. La plate-forme Coursera (d'origine américaine) hébergera ce Mooc à partir d'avril 2015. Ce cours est coordonné par Romain Beaume (Ecole Polytechnique) et par Etienne Krieger (HEC). Ce cours s'articulera autour de plusieurs vidéos de cours, mises en ligne chaque semaine, soit environ une heure de cours vidéo hebdomadaire. Chaque semaine, un quizz sera soumis aux étudiants inscrits portant sur les éléments abordés durant la semaine.
7 formations pour apprendre le développement web en moins d'un an Voici des formations courtes, et ouvertes à tous, qui permettent de commencer à apprendre le développement web, et ce qu'elles inspirent à un recruteur. Bien sûr, pas de miracle : les formations de quelques semaines, ou quelques mois, ne permettent pas de devenir un crack en développement web. Mais certaines d'entre elles promettent d'acquérir des bases saines et suffisantes pour au moins comprendre comment le développement fonctionne, voire commencer à coder un peu, et même (re)trouver un emploi. Evidemment, pour cela, la formation doit être intensive, et l'apprenant, très motivé. Ces dernières années, de nombreuses formations se sont d'ailleurs lancées sur ce créneau, comme le Wagon, la 3W Academy, Webforce3, ou encore Simplon. Ces formations présentielles exigeantes, pour la plupart payantes, recommandent souvent de réaliser au préalable toute une série de cours en ligne gratuits proposés pour les débutants par Codecademy ou OpenClassrooms.
33 Top Free Data Mining Software - Predictive Analytics Today | Predictive Analytics Today 33 Top Free Data Mining Software 4.82/5 (96.43%) 28 ratings 33 Top Free Data Mining Software : Data Mining is the computational process of discovering patterns in large data sets involving methods using the artificial intelligence, machine learning, statistical analysis, and database systems with the goal to extract information from a data set and transform it into an understandable structure for further use. KNIME, R, ML-Flex, Databionic ESOM Tools, Orange, Natural Language Toolkit, SenticNet API , ELKI , RapidMiner, SCaViS, UIMA, Weka , Chemicalize.org , Vowpal Wabbit, GNU Octave, Mlpy, MALLET, Shogun, Scikit-learn, LIBSVM, LIBLINEAR, Lattice Miner, Rattle GUI, Dlib, Apache Mahout, Jubatus, KEEL, Gnome-datamine-tools are some of the top free data mining software in no particular order. You may also like to review the top free data analysis freeware software list : Top Free Data Analysis Software or the top proprietary data mining software list: Top Data Mining Software Knime 3.ML-Flex Orange