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  • Basic site analytics doesn't tally with Google data

    - by Jenkz
    After being stumped by an earlier quesiton: SO google-analytics-domain-data-without-filtering I've been experimenting with a very basic analytics system of my own. MySQL table: hit_id, subsite_id, timestamp, ip, url The subsite_id let's me drill down to a folder (as explained in the previous question). I can now get the following metrics: Page Views - Grouped by subsite_id and date Unique Page Views - Grouped by subsite_id, date, url, IP (not nesecarily how Google does it!) The usual "most visited page", "likely time to visit" etc etc. I've now compared my data to that in Google Analytics and found that Google has lower values each metric. Ie, my own setup is counting more hits than Google. So I've started discounting IP's from various web crawlers, Google, Yahoo & Dotbot so far. Short Questions: Is it worth me collating a list of all major crawlers to discount, is any list likely to change regularly? Are there any other obvious filters that Google will be applying to GA data? What other data would you collect that might be of use further down the line? What variables does Google use to work out entrance search keywords to a site? The data is only going to used internally for our own "subsite ranking system", but I would like to show my users some basic data (page views, most popular pages etc) for their reference.

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  • Tracking iPhone on Yahoo Web Analytics using ASIHTTPRequest

    - by Mads Mobæk
    I'm trying to track an event in my app using Yahoo Web Analytics. The code I am using looks like ASIHTTPRequest *yahooTrack = [ASIHTTPRequest requestWithURL: [NSURL URLWithString:@"http://s.analytics.yahoo.com/p.pl?a=xxxxxxxxxxxxx&js=no&b=yyyyyyyyyyyy&cf6=zzzzzzzzzzz"]]; yahooTrack.didFinishSelector = @selector(statisticsFinished:); yahooTrack.delegate = self; [yahooTrack startAsynchronous]; Then the statisticsFinished looks like: NSLog(@"Cookies: %@", request.requestCookies); NSLog(@"Redircount: %d", [request redirectCount]); NSLog(@"Responsecode %d %@\nMsg: %@", request.responseStatusCode, request.responseStatusMessage, [request responseString]); And all the information I get back looks correct. Cookies are set, redirectcount is 1 the first time (as it redirects to s.analytics.yahoo.com/itr.pl?.... a normal browser does). Then the redirectcount is 0 for subsequent request until the app is restarted and session cleared. The responseString returns GIF89a. Even if the data looks correct, Yahoo still won't track. As soon as I call the tracking url directly in my browser it works as expected. I realize Flurry is a better option, but I'm forced to use Yahoo in this case. Also, using a UIWebView probably would work, but I'm against putting in a webview just for tracking purposes. Is there any difference in how ASIHTTPRequest and Safari would handle a call to a simple URL as this? Or do you see anything else that could explain why the tracking isn't working?

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  • Google Analytics Script inside XML File

    - by mnml
    Hi, I would like to know If I can add my ecommerce analytics tags inside an xml formated file? <?xml version="1.0" encoding="UTF-8" standalone="yes" ?> <script type="text/javascript"> var _gaq = _gaq || []; _gaq.push(['_setAccount', 'UA-XXXXX-X']); _gaq.push(['_trackPageview']); _gaq.push(['_addTrans', '1234', // order ID - required 'Acme Clothing', // affiliation or store name '11.99', // total - required '1.29', // tax '5', // shipping 'San Jose', // city 'California', // state or province 'USA' // country ]); // add item might be called for every item in the shopping cart // where your ecommerce engine loops through each item in the cart and // prints out _addItem for each _gaq.push(['_addItem', '1234', // order ID - required 'DD44', // SKU/code 'T-Shirt', // product name 'Green Medium', // category or variation '11.99', // unit price - required '1' // quantity - required ]); _gaq.push(['_trackTrans']); //submits transaction to the Analytics servers (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; (document.getElementsByTagName('head')[0] || document.getElementsByTagName('body')[0]).appendChild(ga); })(); </script>

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  • Google Analytics, Install Tracking android

    - by vvieux
    Hi, I want track install referer for my application using google analytics. I don't want use the Tracking Pageviews and Events feature, only install. So I added the sdk jar in my app, add these lines to the manifest : <receiver android:name="com.google.android.apps.analytics.AnalyticsReceiver" android:exported="true"> <intent-filter> <action android:name="com.android.vending.INSTALL_REFERRER" /> </intent-filter> </receiver> And publish the app. But how can see the stats ? I never entered my UA-xxxxxxx id. For the Pageviews and Events tracking it's here : tracker.start("UA-YOUR-ACCOUNT-HERE", this); But as thew readme says : (NOTE: do not start the GoogleAnalyticsTracker in your Application onCreate() method if using referral tracking). But with referer where do I put my id ? And what is the url to watch in the google analytics console ? Thx

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  • how to assign javascript variable value to the google analytics script? [migrated]

    - by Vinoth Prakash
    I have assigned two values in the two hidden variables at server Side and accessed those values at client side using script. I have written the google analytics code. I have set two custom variable. I need to pass two values which is stored in the javascript variables to the "value" of custom variable. I have assigned the varibales but values not displaying. please telll what error i made in the script. My aspx code <html xmlns="http://www.w3.org/1999/xhtml" > <head runat="server"> <title></title> </head> <body> <form id="form1" runat="server"> <div> <br /> Total Pirce&nbsp; &nbsp;: <asp:Label ID="Label1" runat="server" Text="10"></asp:Label><br /> &nbsp;Ship Price&nbsp; &nbsp; : <asp:Label ID="Label2" runat="server" Text="5"></asp:Label> <br /> ------------------<br /> Grand Total : <asp:Label ID="Label3" runat="server" Text="15"></asp:Label><br /> ------------------</div> <asp:HiddenField ID="HiddenField1" runat="server" /> <asp:HiddenField ID="HiddenField2" runat="server" /> </form> <script type="text/javascript"> var serverhid1 = document.getElementById('HiddenField1').value; var serverhid2 = document.getElementById('HiddenField2').value; alert(serverhid1) alert(serverhid2) var _gaq = _gaq || []; _gaq.push(['_setAccount', 'UA-35156990-1']); //Set Custom Variable _gaq.push(['_setCustomVar', 1, 'TotalPirce', serverhid1 , 3]); _gaq.push(['_setCustomVar', 2, 'Shipping','yes', 3]); _gaq.push(['_setCustomVar', 3, 'GrandTotal',check(), 3]); _gaq.push(['_setDomainName', 'none']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); </script> </body> </html> cs Code protected void Page_Load(object sender, EventArgs e) { HiddenField1.Value = Label1.Text; HiddenField2.Value = Label2.Text; }

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  • Mark Hurd and Balaji Yelamanchili present Oracle’s Business Analytics Strategy

    - by swalker
    Join Mark Hurd and Balaji Yelamanchili as they unveil the latest advances in Oracle’s strategy for placing analytics into the hands of every decision-makers—so that they can see more, think smarter, and act faster. Wednesday, April 4, 2012 at 1.0 pm UK BST / 2.0 pm CET Register HERE today for this online event Agenda Keynote: Oracle’s Business Analytics StrategyMark Hurd, President, Oracle, and Balaji Yelamanchili, Senior Vice President, Analytics and Performance Management, Oracle Plus Breakout Sessions: Achieving Predictable Performance with Oracle Hyperion Enterprise Performance Managemen Explore All Relevant Data—Introducing Oracle Endeca Information Discovery Run Your Business Faster and Smarter with Oracle Business Intelligence Applications on Oracle Exalytics In-Memory Machine Analyzing and Deciding with Big Data

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  • Learn How to Use Oracle’s Spatial and BI Tools for Location-aware Predictive Analytics

    - by Mandy Ho
    November 29, 2-3pm EST Are you a OBIEE (Oracle Business Intelligence Enterprise Edition) user? Have Location data you'd like to incorporate into your analysis as well? This is a great webinar for you! Join us, as Oracle experts from both teams show how to perform perdictive analytics, network analytics and spatial analysis, combined together, in real world scenarios. We will include demos evaluating airline on-time performance and retail establishment performance.  Learn how to: - Gain better business insights and improve ROI with Oracle Spatial and Graph, Oracle Advanced Analytics, and Oracle Business Intelligence Enterprise Edition (OBIEE). - Streamline and remove the complexity of building applications with OBIEE’s built-in location and analytics features. - Create the statistical model, build interactive reports and dashboards including location analysis and map visualization, and incorporate network analytics for geomarketing and site scoring. - Perform location analysis and processing such as proximity, containment, geocoding, aggregation of geographic regions, and more. Speakers include Jayant Sharma, Director, Product Management, Oracle Spatial and Mapping Technologies; Jean Ihm, Principal Product Manager, Oracle Spatial and Mapping Technologies; and Abhinav Agarwal, OBIEE Product Management. Who should attend This webinar is appropriate for CIOs, business and technical managers, developers, and analysts involved in design and management of analytic applications and solutions where spatial analysis can add insight and value to business processes. Click here, or the link below to sign up today! https://www2.gotomeeting.com/register/764677554

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  • Analytics in an Omni-Channel World

    - by David Dorf
    Retail has been around ever since mankind started bartering.  The earliest transactions were very specific to the individuals buying and selling, then someone had the bright idea to open a store.  Those transactions were a little more generic, but the store owner still knew his customers and what they wanted.  As the chains rolled out, customer intimacy was sacrificed for scale, and retailers began to rely on segments and clusters.  But thanks to the widespread availability of data and the technology to convert said data into information, retailers are getting back to details. The retail industry is following a maturity model for analytics that is has progressed through five stages, each delivering more value than the previous. Store Analytics Brick-and-mortar retailers (and pure-play catalogers as well) that collect anonymous basket-level data are able to get some sense of demand to help with allocation decisions.  Promotions and foot-traffic can be measured to understand marketing effectiveness and perhaps focus groups can help test ideas.  But decisions are influenced by the majority, using faceless customer segments and aggregated industry data points.  Loyalty programs help a little, but in many cases the cost outweighs the benefits. Web Analytics The Web made it much easier to collect data on specific, yet still anonymous consumers using cookies to track visits. Clickstreams and product searches are analyzed to understand the purchase journey, gauge demand, and better understand up-selling opportunities.  Personalization begins to allow retailers target market consumers with recommendations. Cross-Channel Analytics This phase is a minor one, but where most retailers probably sit today.  They are able to use information from one channel to bolster activities in another. However, there are technical challenges combining data silos so its not an easy task.  But for those retailers that are able to perform analytics on both sources of data, the pay-off is pretty nice.  Revenue per customer begins to go up as customers have a better brand experience. Mobile & Social Analytics Big data technologies are enabling a 360-degree view of the customer by incorporating psychographic data from social sites alongside traditional demographic data.  Retailers can track individual preferences, opinions, hobbies, etc. in order to understand a consumer's motivations.  Using mobile devices, consumers can interact with brands anywhere, anytime, accessing deep product information and reviews.  Mobile, combined with a loyalty program, presents an opportunity to put shopping into geographic context, understanding paths to the store, patterns within the store, and be an always-on advertising conduit. Omni-Channel Analytics All this data along with the proper technology represents a new paradigm in which the clock is turned back and retail becomes very personal once again.  Rich, individualized data better illuminates demand, allows for highly localized assortments, and helps tailor up-selling.  Interactions with all channels help build an accurate profile of each consumer, and allows retailers to tailor the retail experience to meet the heightened expectations of today's sophisticated shopper.  And of course this culminates in greater customer satisfaction and business profitability.

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  • Google I/O 2010 - Google Analytics APIs: End to end

    Google I/O 2010 - Google Analytics APIs: End to end Google I/O 2010 - Google Analytics APIs: End to end Google APIs 201 Nick Mihailovski Google Analytics measures performance of your website. Learn advanced techniques on how to use our tracking, processing and data export APIs as we walk you through an example of creating a most visited pages web element for your website. For all I/O 2010 sessions, please go to code.google.com From: GoogleDevelopers Views: 6 0 ratings Time: 55:42 More in Science & Technology

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  • Oracle Brings Analytics to Project Management

    - by Sylvie MacKenzie, PMP
    Excerpt from PROFIT - ORACLE - by Alison Weiss  Nonprofit and for-profit organizations have many differences, but there is one way they are alike—managers struggle with huge amounts of data generated every day. Project data by itself has limited use—but any organization that can gain insight to make accurate predictions or to use resources more effectively can gain an operational advantage. Oracle’s Primavera P6 Analytics 2.0 business intelligence solution enables organizations using Oracle’s Primavera P6 Professional Project Management to do just that: identify critical issues and uncover trends in stores of project data. Primavera P6 Analytics provides management with the ability to look at not only how a single effort is progressing, but also how the entire organization is doing from a project perspective. The latest release includes new features that make it even easier to gather and analyze critical information. For example, the addition of geocoding gives Primavera P6 Analytics users the ability to track resources geographically on longitude and latitude and use a map to get an overall view of how projects, programs, and activities are deployed. “A nonprofit with relief projects in Vietnam, for example, can drill down to the project and get a world view and a regional view,” says Yasser Mahmud, vice president of product strategy and industry marketing in Oracle’s Primavera Global Business Unit. “Then they can drill down further to show statistics; key performance indicators; and how that program, portfolio, or project work is actually getting done.” The addition of new mobile capabilities to Primavera P6 Analytics puts deep-dive analysis into project managers’ hands with compatibility with major tablet operating systems. Now, nonprofits or for-profits working in remote locations can provide real-time visibility into projects to alert management if issues are occurring that need to be addressed immediately. “Primavera P6 Analytics generates information that can help organizations improve their utilization and trim down overall operating costs,” says Mahmud. “But more importantly, it gives organizations improved visibility.”

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  • Google Analytics with multiple environments

    - by marcof
    We are planning to use Google Analytics in our organization and I am in charge for setting it up. I was wondering how to deal with multiple environments. We sure do not want to collect data during development and QA (or maybe collect data to a different analytics account), but we want to when the site goes to production (obviously). How do you deal with multiple environments and Google Analytics ? Do you setup multiple accounts for Google Analytics and use either one depending on the environement ? We're using ASP.NET 2.0, if that matters.

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  • Free and Innovative Website Analytics Tools

    Many people think of free web analytics in terms of Google Analytics, well, this is understandable given the big name that Google is. Unknown to many, there are numerous web analytics tools out there that are free and very innovative. These web statistics tools measure everything from real-time visitor tracking, to search engine traffic and user behavior.

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  • Une extension pour bloquer Google Analytics signée Google fonctionne avec Chrome, Firefox et Interne

    Une extension pour bloquer Google Analytics Signée Google fonctionne avec Chrome, Firefox et Internet Explorer : initiative sincère ou marketing ? Qui l'eut cru ? Google a imaginé une extension qui permet de bloquer Google Analytics, un de ses services d'analyse d'audiences proposés aux webmestres. Google Analytics se présente sous la forme d'un code JavaScript à insérer dans une page web et permet de collecter des informations sur les visiteurs? notamment sur la manière dont ils sont arrivés sur le site. Baptisée Analytics Opt-out Browser Add-on, l'extension permet de ne pas envoyer ces informations au propriétaire du site ? ni a priori à Goog...

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  • Google analytics/adwords account and leaking of private data

    - by Satellite
    I am frequently asked to log into clients google analytics and adwords accounts. If I forget to log out before visiting other google properties (google search, youtube etc), this leaves tracks of my views/searches etc, exposing my activities to the client. Summary: Client gives me access to their Google Analytics / AdWords account I log into clients Analytics account and do some stuff Then in another tab I perform some related google searches to solve some related issues Issues solved, I then close the Analytics tab I then visit google.com, perform some unrelated searches I then visit YouTube, view some unrelated videos All Web and YouTube searches are recorded in clients google account, thus leaking potentially sensitive data Even assuming that I remember to log out correctly at step 4 (as I do 95% of the time), anything I do at step 3 is exposed to the client. I would be surprised if this is not a very common issue. I'm looking for a technical solution to ensure that this can never happen. Any ideas?

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  • Google ouvre la beta d'Analytics Mobile App et sort deux SDK pour le Google Analytics des applications Android et iOS

    Google ouvre la beta d'Analytics Mobile App Le Google Analytics pour applications Android et iOS En juin, Google avait lancé une beta privée de « Mobile Analytics App », son service permettant à la fois d'évaluer l'audience des applications mobiles et différents éléments (versions, etc.). Cette beta est désormais disponible en version publique. Première amélioration qui accompagne cette arrivée, les deux SDK pour Android et iOS ont été entièrement refaits et simplifiés pour générer des rapports en 5 minutes. [IMG]http://ftp-developpez.com/gordon-fowler/GoogleAppAnalytics.png[/IMG] Des rapports qui contiennent à présent beaucoup plus ...

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  • Spend Analytics on a Grand Scale

    - by jacqueline.coolidge(at)oracle.com
    The Wall St. Journal reports in Billions in Bloat Uncovered in Beltway that a recent study by Government Accountability Office (GAO) has released a massive study of several programs and agencies that cost U.S. taxpayers billions of dollars each year.  This report help save $100 to $200 Billion dollars by identifying duplicate spending and ineffective programs that can be consolidated or eliminated. Now, that is spend analytics on a massive scale! It remains to be seen how actionable that information will be.  Certainly, there have been studies before that identify wasteful spending.  But, it’s a great case of the power of business intelligence and spend analytics.   Many companies do find significant savings when they implement spend and procurement analytics. What makes for an excellent spend analysis? It should be: Objective and provide visibility across programs and/or divisions A cross functional analysis that links financial with performance metrics Prescriptive and actionable Spend and procurement analytics have been HOT during the economic downturn! I expect 2011 will see many more companies get serious about spend analytics and would love to hear from companies who are willing to share their experience.

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  • The 5 Most Important Analytics Stats

    While there are hundreds of different uses for a website analytics program, there are some that can quickly indicate whether your website has a heartbeat. Most likely providing these statistics would satisfy a customer asking how the website is doing, and for a customer that doesn't have analytics on their website, the potential to have these metrics should be enough to convince the customer that they need to install website analytics.

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  • How to use Google Analytics to track a development and production versions of the same site on different servers?

    - by Abe
    I have a website with two versions, one for production and one for development (testing new features). All of the code is under version control and the websites are on separate servers. Currently, I have the same Google Analytics Tracking code used on both sites. Since the code is under version control, it would be ideal to either have an if I am on production, use this code; else if on development server use that code clause. But I suspect that Google makes it easier to do something like this. I see that there are many ways to configure a GA tracking code, e.g. "a single domain" vs. "multiple top level domains". But it is not clear to me how to set this up. Also, if tracking code configured for a single domain has been on the development server, have I been picking up traffic to both sites, or does GA just ignore the second domain that I haven't registered?

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  • Should I use the same Google Analytics code for my website and native mobile app?

    - by Drew
    My website is a forum. The native mobile app's only function is to access the forum and provide a better experience than can be provided through the browser. Given that the same content is being accessed, should I use the same Google Analytics tracking code? Or should I create a new property and select "Not a website" when it asks for the website? I was not able to find anything that discussed this and what would be best practice, given that the same content is being accessed. Thanks!

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  • Why is my google translate data not showing up in analytics?

    - by learnvst
    I have a google translate widget on my website with gaTrack set to true and the correct gaId, but no translate events show up in analytics under content Events Overview after a week of the widget being live. The code snippet below was auto generated by the translate website, and works fine on the site. Any ideas why I'm not getting any translate events data? <li> <div id="google_translate_element"></div><script type="text/javascript"> function googleTranslateElementInit() { new google.translate.TranslateElement({pageLanguage: 'en', layout: google.translate.TranslateElement.InlineLayout.SIMPLE, gaTrack: true, gaId: 'UA-blahblah'}, 'google_translate_element'); } </script><script type="text/javascript" src="//translate.google.com/translate_a/element.js?cb=googleTranslateElementInit"></script> </li>

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  • Is there a ways to see granular per-visit data in Google Analytics?

    - by jakub.g
    I've started using Google Analytics very recently and I'm a bit lost with the sea of options (have been using Sitemeter before for some time). I've clicked through the service a lot but couldn't find what I'm accustomed to. I can see multitude of aggregated statistics in GA like: charts of browser share lists of country share lists of most visited URLs within the page and so on, but I would actually like to analyze each of the visits themselves. Something like: User X, France, Chrome, 7 pageviews between 18:01 and 18:15, entered on a.htm and exited on b.htm User Y, UK, Firefox, 1 pageview at 18:20, entered on c.htm Is there an easy way to see the reports in this way (perhaps by clicking a link to a separate page to see that particular session's stats)? How to navigate there if so?

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  • Google analytics: how many visitors have visited n times?

    - by Riley
    I'm trying to guess how many loyal users I have by counting the number of people that have visited the site 10 times. How can I answer this question with Google Analytics? "Visitor Loyalty" is a tempting answer, but the label for loyalty is "Visits that were the visitor's nth visit," and I want something more like "Visitors that visited n times." For example, we have 40 visits in the "51-100" visit range, but I think that could be a single user who visited 91 times. Or two users who visited 71 times each. The whole chart makes a good logic puzzle (I wonder if there's a unique solution) but doesn't easily answer the question I have.

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