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  • Analytics: Test events not showing up - how to troubleshoot?

    - by David Parks
    I've got 3 profiles: Master, Raw Data, and Test, on the Test profile I have no filters configured. I want to test using some events. I created a local HTML file as shown below to generate some test data that I could play with in Analytics. But the events never showed up in Analytics. I wonder what I might be doing wrong? Is the lack of a domain an issue maybe? <html><head></head><body>Login_popup_complete_Facebook <script type="text/javascript"> var _gaq = _gaq || []; _gaq.push(['_setAccount', 'UA-28554309-1']); _gaq.push(['_trackPageview']); _gaq.push(['_trackEvent', 'Login popup completed', 'Facebook']); (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>

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  • Google Analytics async=true seems wrong in the Google documentation?

    - by leeand00
    In the Google Analytics async example, they state that in order to include more than one tracker, you need to setup your pages for asyncrous tracking, and they do so using the following code: <script type="text/javascript"> _gaq.push( ['_setAccount', 'UA-XXXXX-1'], ['_trackPageview'], ['b._setAccount', 'UA-XXXXX-2'], ['b._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> The second tracker is not receiving any results. After looking at my tracking codes to ensure they are correct, I noticed that the ga.async = true statement is specified differently most of the time and is never set to a value of true, it's often set to async but never true. Could this be stopping my Analytics data from posting to the second tracker? or might it be something else? Also what calls should I look for in the Net tab in firebug to ensure that GA is being called when the page loads?

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  • Is there an elegant way to track multiple domains under separate accounts with google analytics?

    - by J_M_J
    I have a situation where a content management system uses the same template for multiple websites with different domain names and I can't make a separate template for each. However, each website needs to be tracked with Google analytics. Would this be appropriate to track each domain like this by putting in some conditional code? And would this be robust enough not to break? Is there a more elegant way to do this? <script type="text/javascript"> var _gaq = _gaq || []; switch (location.hostname){ case 'www.aaa.com': _gaq.push(['_setAccount', 'UA-xxxxxxx-1']); break; case 'www.bbb.com': _gaq.push(['_setAccount', 'UA-xxxxxxx-2']); break; case 'www.ccc.com': _gaq.push(['_setAccount', 'UA-xxxxxxx-3']); break; } _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'; (document.getElementsByTagName('head')[0] || document.getElementsByTagName('body')[0]).appendChild(ga); })(); </script> Just to be clear, each website is a separate domain name and must be tracked separately, NOT different domains with same pages on one analytics profile.

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  • Google Analytics API data for goals (funnels) doesn't match - how do they reconcile?

    - by bkgraham
    I have a Google Analytics account with a well-functioning funnel made up of 4 goals. I can query the API and get the data out, but it does not match the funnel report in Analytics. Without getting into specific values, I can give you an example with faked data. Here's how the funnel might look: Shopping Cart 100 > 100 > 20 80 (80%) Address Page 5 > 85 > 25 60 (71%) Payment Page 2 > 62 > 10 52 (84%) Checkout 1 > 53 (49.07% funnel conversion rate) Okay, so you would expect the API to output data something like this: goal1Starts goal1Completions goal1Abandons 100 80 20 goal2Starts goal2Completions goal2Abandons 85 60 25 goal3Starts goal3Completions goal3Abandons 62 52 10 goal4Starts goal4Completions goal4Abandons 53 53 0 Instead, it's different. Firstly, the abandons are associated with the following goal (so goal1 always has 0 abandons and goal4 always has 0 abandons. Okay, I can work with that. What's confusing is that the numbers are always a little different. The goal1Completions always match the report, as do the goal4Completions, but everything else is off by a small amount. Sometimes it's only 2 visits, other times it's off by 50. For the report above here's the kind of results I would tend to get: goal1Starts goal1Completions goal1Abandons 100 100 0 goal2Starts goal2Completions goal2Abandons 105 84 21 goal3Starts goal3Completions goal3Abandons 90 65 25 goal4Starts goal4Completions goal4Abandons 58 53 5 Here's what I know: Goal(n)Completions + Goal(n)Abandons = Goal(n)Starts Goal(n)Starts = Goal(n-1)Completions Goal(n)Starts - Goal(n-1)Completions != reported number entering at that level That third one is particularly disappointing. So, here's my question: What data do I need to pull from the API in order to recreate the counts in the Funnel report in Google Analytics? I don't need the pages exited to entering from - just the counts at every level.

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  • Problem with Google Analytics for Android : "Dispatcher thinks it finished, but there were 543 faile

    - by PHP_Jedi
    Anyone know how to solve this problem? 03-23 13:03:20.585: WARN/googleanalytics(3430): Problem with socket or streams. 03-23 13:03:20.585: WARN/googleanalytics(3430): java.net.SocketException: Broken pipe 03-23 13:03:20.585: WARN/googleanalytics(3430): at org.apache.harmony.luni.platform.OSNetworkSystem.sendStreamImpl(Native Method) 03-23 13:03:20.585: WARN/googleanalytics(3430): at org.apache.harmony.luni.platform.OSNetworkSystem.sendStream(OSNetworkSystem.java:498) 03-23 13:03:20.585: WARN/googleanalytics(3430): at org.apache.harmony.luni.net.PlainSocketImpl.write(PlainSocketImpl.java:585) 03-23 13:03:20.585: WARN/googleanalytics(3430): at org.apache.harmony.luni.net.SocketOutputStream.write(SocketOutputStream.java:59) 03-23 13:03:20.585: WARN/googleanalytics(3430): at org.apache.http.impl.io.AbstractSessionOutputBuffer.flushBuffer(AbstractSessionOutputBuffer.java:87) 03-23 13:03:20.585: WARN/googleanalytics(3430): at org.apache.http.impl.io.AbstractSessionOutputBuffer.flush(AbstractSessionOutputBuffer.java:94) 03-23 13:03:20.585: WARN/googleanalytics(3430): at org.apache.http.impl.AbstractHttpClientConnection.doFlush(AbstractHttpClientConnection.java:168) 03-23 13:03:20.585: WARN/googleanalytics(3430): at org.apache.http.impl.AbstractHttpClientConnection.flush(AbstractHttpClientConnection.java:173) 03-23 13:03:20.585: WARN/googleanalytics(3430): at com.google.android.apps.analytics.PipelinedRequester.sendRequests(Unknown Source) 03-23 13:03:20.585: WARN/googleanalytics(3430): at com.google.android.apps.analytics.NetworkDispatcher$DispatcherThread$AsyncDispatchTask.dispatchSomePendingEvents(Unknown Source) 03-23 13:03:20.585: WARN/googleanalytics(3430): at com.google.android.apps.analytics.NetworkDispatcher$DispatcherThread$AsyncDispatchTask.run(Unknown Source) 03-23 13:03:20.585: WARN/googleanalytics(3430): at android.os.Handler.handleCallback(Handler.java:587) 03-23 13:03:20.585: WARN/googleanalytics(3430): at android.os.Handler.dispatchMessage(Handler.java:92) 03-23 13:03:20.585: WARN/googleanalytics(3430): at android.os.Looper.loop(Looper.java:123) 03-23 13:03:20.585: WARN/googleanalytics(3430): at android.os.HandlerThread.run(HandlerThread.java:60) 03-23 13:03:21.088: WARN/googleanalytics(3430): Dispatcher thinks it finished, but there were 543 failed events Specially the last line explain why there is lost so much data, as the dispatcher thinks it is done, but have 543 events not dispatched... The application have a good internet connection and there is no problem reaching the app server-side api. I see in analytics that lots of startups and click-events the past few days are lost, even I know the traffic is normal since i can see statistics from the the server api. In the analytics reports I see a day by day under-reporting. So the problems seems to be spreading/growing to all the devices using this application. Im wondering why google does not answer this in their mail-groups - several people have complained about this...well, well... I found this thread relevant: http://stackoverflow.com/questions/682560/java-net-socketexception-broken-pipe But, I'm still not sure if there is anything I can do to fix it or not. If there is nothing I can do to fix it, I guess its not my fault that it got broken. But i got a feeling it is, since the problem got dramatically worse on the last deploy to Android market. Anyone else with experience on Google Analytics for android ?

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  • Google Analytics API Authentication Speedup

    - by Paulo
    I'm using a Google Analytics API Class in PHP made by Doug Tan to retrieve Analytics data from a specific profile. Check the url here: http://code.google.com/intl/nl/apis/analytics/docs/gdata/gdataArticlesCode.html When you create a new instance of the class you can add the profile id, your google account + password, a daterange and whatever dimensions and metrics you want to pick up from analytics. For example i want to see how many people visited my website from different country's in 2009. //make a new instance from the class $ga = new GoogleAnalytics($email,$password); //website profile example id $ga->setProfile('ga:4329539'); //date range $ga->setDateRange('2010-02-01','2010-03-08'); //array to receive data from metrics and dimensions $array = $ga->getReport( array('dimensions'=>('ga:country'), 'metrics'=>('ga:visits'), 'sort'=>'-ga:visits' ) ); Now you know how this API class works, i'd like to adress my problem. Speed. It takes alot of time to retrieve multiple types of data from the analytics database, especially if you're building different arrays with different metrics/dimensions. How can i speed up this process? Is it possible to store all the possible data in a cache so i am able to retrieve the data without loading it over and over again?

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  • XMLHttpRequest() and Google Analytics Tracking

    - by sjw
    I have implemented an XMLHttpRequest() call to a standalone html page which simply has an html, title & body tag which Google Analytics Tracking code. I want to track when someone makes a request to display information (i.e. phone number) to try and understand what portion of people look at my directory versus obtaining a phone number to make a call. It is very simple code: var xhReq = new XMLHttpRequest(); xhReq.open("GET", "/registerPhoneClick.htm?id=" + id, false); xhReq.send(null); var serverResponse = xhReq.responseText Yet I cannot see the "hit" in Analytics... Has anyone had this issue? All the analytics tracking code does is call: <script type="text/javascript"> var gaJsHost = (("https:" == document.location.protocol) ? "https://ssl." : "http://www."); document.write(unescape("%3Cscript src='" + gaJsHost + "google-analytics.com/ga.js' type='text/javascript'%3E%3C/script%3E")); </script> <script type="text/javascript"> try { var pageTracker = _gat._getTracker("UA-XXXXXXX"); pageTracker._trackPageview(); } catch(err) {}</script> So realistically, my XmlHTTPRequest() calls an htm file within which a script is execute to make an outbound call to Google Analytics. Is there any reason why an XmlHTTPRequest() would not execute this? Does an XmlHTTPRequest() still bring the code to the client before execution? Help Please

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  • Integrate Google Analytics Tracking Into IOS App

    - by user1781040
    I would like to Integrate Google Analytics Tracking into my IOS APP. I have integrated Google Analytics Library and Add It To my Application. cf. https://developers.google.com/analytics/devguides/collection/ios/v2/ into my code to tracking my view contact - (void)viewDidLoad { [super viewDidLoad]; // Do any additional setup after loading the view from its nib. self.trackPageView = @"Contact Screen"; // } A have this error "Property 'TrackPageView' not found on object of the type 'ContactViewController'" Please help me

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  • Google Analytics - Google Adwords [closed]

    - by Fiona
    Hi there, I have a number of Google Analytics accounts. I also have one adwords account. At the moment I've linked my adwords to one of my GA accounts. However I'd like to link to my other GA accounts. Can this be done? and if so how? Thanks, Fiona

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  • OS Analytics with Oracle Enterprise Manager (by Eran Steiner)

    - by Zeynep Koch
    Oracle Enterprise Manager Ops Center provides a feature called "OS Analytics". This feature allows you to get a better understanding of how the Operating System is being utilized. You can research the historical usage as well as real time data. This post will show how you can benefit from OS Analytics and how it works behind the scenes. The recording of our call to discuss this blog is available here: https://oracleconferencing.webex.com/oracleconferencing/ldr.php?AT=pb&SP=MC&rID=71517797&rKey=4ec9d4a3508564b3Download the presentation here See also: Blog about Alert Monitoring and Problem Notification Blog about Using Operational Profiles to Install Packages and other content Here is quick summary of what you can do with OS Analytics in Ops Center: View historical charts and real time value of CPU, memory, network and disk utilization Find the top CPU and Memory processes in real time or at a certain historical day Determine proper monitoring thresholds based on historical data Drill down into a process details Where to start To start with OS Analytics, choose the OS asset in the tree and click the Analytics tab. You can see the CPU utilization, Memory utilization and Network utilization, along with the current real time top 5 processes in each category (click the image to see a larger version):  In the above screen, you can click each of the top 5 processes to see a more detailed view of that process. Here is an example of one of the processes: One of the cool things is that you can see the process tree for this process along with some port binding and open file descriptors. Next, click the "Processes" tab to see real time information of all the processes on the machine: An interesting column is the "Target" column. If you configured Ops Center to work with Enterprise Manager Cloud Control, then the two products will talk to each other and Ops Center will display the correlated target from Cloud Control in this table. If you are only using Ops Center - this column will remain empty. The "Threshold" tab is particularly helpful - you can view historical trends of different monitored values and based on the graph - determine what the monitoring values should be: You can ask Ops Center to suggest monitoring levels based on the historical values or you can set your own. The different colors in the graph represent the current set levels: Red for critical, Yellow for warning and Blue for Information, allowing you to quickly see how they're positioned against real data. It's important to note that when looking at longer periods, Ops Center smooths out the data and uses averages. So when looking at values such as CPU Usage, try shorter time frames which are more detailed, such as one hour or one day. Applying new monitoring values When first applying new values to monitored attributes - a popup will come up asking if it's OK to get you out of the current Monitoring Policy. This is OK if you want to either have custom monitoring for a specific machine, or if you want to use this current machine as a "Gold image" and extract a Monitoring Policy from it. You can later apply the new Monitoring Policy to other machines and also set it as a default Monitoring Profile. Once you're done with applying the different monitoring values, you can review and change them in the "Monitoring" tab. You can also click the "Extract a Monitoring Policy" in the actions pane on the right to save all the new values to a new Monitoring Policy, which can then be found under "Plan Management" -> "Monitoring Policies". Visiting the past Under the "History" tab you can "go back in time". This is very helpful when you know that a machine was busy a few hours ago (perhaps in the middle of the night?), but you were not around to take a look at it in real time. Here's a view into yesterday's data on one of the machines: You can see an interesting CPU spike happening at around 3:30 am along with some memory use. In the bottom table you can see the top 5 CPU and Memory consumers at the requested time. Very quickly you can see that this spike is related to the Solaris 11 IPS repository synchronization process using the "pkgrecv" command. The "time machine" doesn't stop here - you can also view historical data to determine which of the zones was the busiest at a given time: Under the hood The data collected is stored on each of the agents under /var/opt/sun/xvm/analytics/historical/ An "os.zip" file exists for the main OS. Inside you will find many small text files, named after the Epoch time stamp in which they were taken If you have any zones, there will be a file called "guests.zip" containing the same small files for all the zones, as well as a folder with the name of the zone along with "os.zip" in it If this is the Enterprise Controller or the Proxy Controller, you will have folders called "proxy" and "sat" in which you will find the "os.zip" for that controller The actual script collecting the data can be viewed for debugging purposes as well: On Linux, the location is: /opt/sun/xvmoc/private/os_analytics/collect If you would like to redirect all the standard error into a file for debugging, touch the following file and the output will go into it: # touch /tmp/.collect.stderr   The temporary data is collected under /var/opt/sun/xvm/analytics/.collectdb until it is zipped. If you would like to review the properties for the Analytics, you can view those per each agent in /opt/sun/n1gc/lib/XVM.properties. Find the section "Analytics configurable properties for OS and VSC" to view the Analytics specific values. I hope you find this helpful! Please post questions in the comments below. Eran Steiner

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  • Telerik is First to Announce Support for Microsoft Silverlight Analytics Framework

    Yesterday at MIX 10 conference Microsoft announced the Microsoft Silverlight Analytics Framework Beta. The Silverlight Analytics Framework (SAF) is a new open-source framework to allow designers and developers to integrate web analytics into Silverlight applications in a consistent manner. Supporting out-of-browser and offline scenarios, Microsoft built this framework in conjunction with a number of web analytics services and control vendors to support multiple analytics services simultaneously without degrading application performance. Because the SAF is enabled as a set of behaviors in Microsoft Expression Blend, designers and developers can visually instrument their designs and configure A/B testing rapidly without writing any code. Telerik is proud to be the first control vendor to support the Silverlight Analytics Framework. RadControls for Silverlight can be used with the framework out of the box. The suite offers Silverlight Analytics Framework handlers and behavior, helping developers to fine tune the values sent to the analytics providers. Because the analytics framework is using the Managed Extensibility Framework (MEF) for composition, you don't need to change the way you use the controls to benefit from the Telerik handlers. Just add a reference to the Telerik assemblies that contains the handlers. Here is the code that you need to declare to use RadTreeView: <UserControl x:Class="Telerik.SLAF.MainPage"         xmlns="http://schemas.microsoft.com/winfx/2006/xaml/presentation"         xmlns:x="http://schemas.microsoft.com/winfx/2006/xaml"         xmlns:i="clr-namespace:System.Windows.Interactivity;assembly=System.Windows.Interactivity"         xmlns:ga="clr-namespace:Google.WebAnalytics;assembly=Google.WebAnalytics"         xmlns:sa="clr-namespace:Microsoft.WebAnalytics.Behaviors;assembly=Microsoft.WebAnalytics.Behaviors"         xmlns:ic="clr-namespace:Microsoft.Expression.Interactivity.Core;assembly=Microsoft.Expression.Interactions"         xmlns:mc="http://schemas.openxmlformats.org/markup-compatibility/2006"         xmlns:telerikNavigation="clr-namespace:Telerik.Windows.Controls;assembly=Telerik.Windows.Controls.Navigation">        <Grid x:Name="LayoutRoot">         <i:Interaction.Behaviors>             <ga:GoogleAnalytics ProfileId="--Your GA ProfileId" Category="Demo" />         </i:Interaction.Behaviors>         <telerikNavigation:RadTreeView>             <i:Interaction.Triggers>                 <i:EventTrigger EventName="SelectionChanged">                     <sa:TrackAction />                 </i:EventTrigger>             </i:Interaction.Triggers>             <telerikNavigation:RadTreeViewItem Header="Item1">             </telerikNavigation:RadTreeViewItem>             <telerikNavigation:RadTreeViewItem Header="Item2" />             <telerikNavigation:RadTreeViewItem Header="Item3" />         </telerikNavigation:RadTreeView>     </Grid> </UserControl> Download the Telerik Microsoft Silverlight Analytics Framework Handlers and the sample project. This is our first Beta release - please drop us a line with any feedback you have or even better if you are at MIX10 - come visit us at the booth in the "Commons" hall so we can discuss it in person. Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • Oracle Business Analytics bejelentés

    - by user645740
    Jelenleg is zajlik az Oracle Business Analytics bejelentés. Rövid regisztrációt követoen megnézhetjük az eloadásokat, késobb akár felvételrol is: http://www.oracle.com/us/corporate/events/business-analytics/index.html Klasszikusokkal szólva: "Mi már nem azok a lovagok vagyunk, akik azt mondják, hogy NI!" Mark Hurd és Balaji Yelamanchili világítja meg az Oracle stratégiáját a Business Analytics területen. Hogyan tudnak a döntéshozók eredményeebben és gyorsabban elemezni. Business Analytics, tervezett célrendszerek Exadata Database Machine, Big Data Appliance, Exalytics In-Memory Machine, teljesítménymenedzsment alkalmazások, az Endeca felvásárlás integrációja. A keynote utáni eloadások: Achieving Predictable Performance with Oracle Hyperion Enterprise Performance Management 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 http://www.oracle.com/us/corporate/events/business-analytics/index.html

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  • Drive Innovation from Data with Oracle Business Analytics

    - by Mike.Hallett(at)Oracle-BI&EPM
    Oracle is doing a big marketing push on the transformational value of Business Analytics to our customers, and we hope you as partners can get excited, involved and more business from this campaign.  Work with your local in-country BI business development manager and your partner channel manager: if you want to contribute and are struggling to make contact, then let me know ([email protected]) and I will facilitate introductions. Oracle Day Business Analytics Track Invite your customers to register for their local Oracle Day to get the latest news from OpenWorld and learn about Oracle's Big Data strategy and solution. There is a dedicated Business Analytics track. Business Analytics Facebook Hub Encourage your customers to "Like" the Business Analytics Facebook Page @ www.facebook.com/OracleBusinessAnalytics so they can receive useful and interesting information on their Facebook wall.

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  • What's New in OIC Analytics 11g?

    - by LuciaC
    Oracle Incentive Compensation (OIC) Analytics for Oracle Data Integrator (ODI) breaks down traditional front and back office silos bringing together sales performance data with those responsible for the sale and selling costs. It is a framework for Sales Performance Management  based on a data mart of key performance metrics regardless of whether or not these metrics are incentivized.Commissionable metrics are brought into OIC for commission calculation and brought back to enrich the performance data mart.  Executives and Product Marketing/Product Line Managers are provided with actionable sales performance analytics.  Incentivized salesreps and partners are provided with commission dashboards on a frequent basis to inform them how they are doing and how far they are from their goals.OIC Analytics is now certified with 11g and has additional features.  Oracle continues to invest in OIC Analytics but the baseline for the investments will be the 11gR1 certification version of OIC Analytics.  Read about what's new and the certification details in Doc ID 1590729.1.

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  • Does placing Google Analytics code in an external file affect statistics?

    - by Jacob Hume
    I'm working with an outside software vendor to add Google Analytics code to their web app, so that we can track its usage. Their developer suggested that we place the code in an external ".js" file, and he could include that in the layout of his application. The StackOverflow question "Google Analytics: External .js file covers the technical aspect, so apparently tracking is possible via an external file. However, I'm not quite satisfied that this won't have negative implications. Does including the tracking code as an external file affect the statistics collected by Google?

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  • Getting live traffic/visitor analytics when using a reverse proxy

    - by jotto
    I'm in process of implementing Varnish as a reverse proxy for a Ruby on Rails app and I'm using Google Analytics (JS/client side script to record visitor data) but it's several hours delayed so its useless for knowing what's going on now. I need at a glance live data that includes referring traffic and what current req/sec is. Right now I am using a simple Rack middleware application to do the live stats (gist.github.com/235745) but if the majority of traffic hits Varnish, Rack will never be hit so this won't work. The closest solution I've found so far is http://www.reinvigorate.net/ but it's in beta (there are also no implementation details on their front page). Does Varnish have traffic logs that I can custom format to match my Apache logs so I can combine them, or will I have to roll my own JS implementation like GA that shows the data in real time?

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  • SharePoint Web Analytics not tracking usage for main application

    - by Chris W
    My SP 2010 setup is two separate applications - one for the main portal and one for MySite. Whilst WebAnalytics is tracking usage of MySite it's not showing any stats for the main Portal. The only thing it lists is the number of site collections but no page views etc. The WA service is clearly running to pick up data for MySite. In Configure web analytics and health data collection everything is ticked. I can't find any obvious settings that are different between the two applications. Where should I look to get usage tracking correctly?

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  • Keep Google Analytics in a backup site or not?

    - by Yannis Dran
    I backed up my website and uploaded it to another server for testing and backup purposes. Should I remove the Google Analytics snippet from the index.php (which is for the real site), or does it not matter as it's not the same server and url address as the one declared at Google Analytics account? The reason I don't want to remove it is in case someone forgets about it if they upload the backup to the real site in case the real one breaks. Also I know that if I turn off the website there is no GA snippet, but I need it open so I can easily access and test it so I don't have to write pass all the time.

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  • Is there a modern (eg NoSQL) web analytics solution based on log files?

    - by Martin
    I have been using Awstats for many years to process my log files. But I am missing many possibilities (like cross-domain reports) and I hate being stuck with extra fields I created years ago. Anyway, I am not going to continue to use this script. Is there a modern apache logs analytics solution based on modern storage technologies like NoSQL or at least somehow ready to cope with large datasets efficiently? I am primarily looking for something that generates nice sortable and searchable outputs with the focus on web analytics, before having to write my own frontends. (so graylog2 is not an option) This question is purely about log file based solutions.

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  • Is it possible to filter analytics to particular visits like you can filter to particular dates?

    - by andy
    Is it possible to find out more information about particular visits in analytics? For example, say I'm looking at new versus returning users. I then add a secondary column of "city". Ok, now I know all new users from yesterday came from new york, for example. But what if I want to find out more information about those particular new vists from new york. Such as behaviors, technology, content. Is it possible to filter analytics to particular visits like you can filter to particular dates?

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  • Google Analytics unexplained spike

    - by Dianne
    My client's Google Analytics has had a spike everyday from May 6th (from 0 - 100.) This is in a city that he is not optimized for and does very little business in. The hits are coming in direct to the website. My client is concerned that it has something to do with competition using his site as a price shopping device. I can't view the ip to see where they are coming from and his site is not built in PHP so the work around doesn't work here. Any thoughts? Could it be a "referring site" situation and if so is there a way for me to find out what the referring site is?

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  • Dashboard to aggregate Google Analytics, Facebook, YouTube etc tracking data?

    - by Richard
    I'd like to see as much tracking data as possible about my online presence, in one single dashboard - so views/conversions from Google Analytics data, the performance of my Facebook campaigns via the Insights API, views/clicks from my YouTube campaigns, etc. This could be as simple as a graph with time on the x-axis, and key indicators from each source on the y-axis (conversions from Analytics, likes on Facebook, views on YouTube, etc). The idea is that I can see customer engagement with each source, over time. I can write my own such dashboard easily enough, but I wondered if there was something off-the-shelf that already did this. Apologies if this isn't the right forum for such a question - would appreciate tips for the best place to ask.

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