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  • Problem dispatching with google mobile analytics for iphone

    - by Eamonn
    I have integrated Google mobile analytics into my iphone app, but for some reason the page views and events are not dispatching. I put this into my app delegate applicationDidFinishLaunching method (i've x'd out the UA string): [[GANTracker sharedTracker] startTrackerWithAccountID:@"UA-xxxxxx-x" dispatchPeriod:10 delegate:self]; NSError *error; [[GANTracker sharedTracker] trackPageview:@"/home" withError:&error]; This is the delegate method: - (void)trackerDispatchDidComplete:(GANTracker *)tracker eventsDispatched:(NSUInteger)eventsDispatched eventsFailedDispatch:(NSUInteger)eventsFailedDispatch { NSLog(@"Google Analytics Dispatch: succeeded:%i, failed:%i",eventsDispatched,eventsFailedDispatch); } which prints out the message: Google Analytics Dispatch: succeeded:0, failed:190 Did anyone else run into this problem?

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  • Spoof referrer to Google Analytics?

    - by Horace Loeb
    Whenever a user visits "Page A" on my site, I immediately redirect him to "Page B" by setting window.location with Javascript. "Page A" has no Google Analytics tracking on it -- when someone is redirected from "Page A" to "Page B" I want to track him as if he entered the site via "Page B". Unfortunately, my current setup breaks referrer information since people who are redirected to "Page B" appear to Google Analytics as if they came from "Page A": After users are redirected to "Page B", I want to tell Google Analytics their "real" referrer (i.e., the referrer to "Page A"). How can I do this? (Note: I realize that using a real HTTP redirect instead of a Javascript-based redirect would solve this problem. Unfortunately this isn't an option)

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  • Does Google Analytics have peformance overhead?

    - by Mohit Nanda
    To what extent does Google Analytics impact performance? I'm looking for the following: Benchmarks (including response times/pageload times et al) Links or results to similar benchmarks One (possible) method of testing Google Analytics (GA) on your site: Serve ga.js (the Google Analytics JavaScript file) from your own server. Update from Google Daily (test 1) and Weekly (test 2). I would be interested to see how this reduces the communication between the client webserver and the GA server. Has anyone conducted any of these tests? If so, can you provide your results? If not, does anyone have a better method for testing the performance hit (or lack thereof) for using GA?

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  • Google Analytics to track FireFox extension use

    - by Swizec Teller
    Hi all, I'm developing a Firefox extension and would like to track its use with google analytics, but I can't get it working. I've tried manually calling a funstion from ga.js, but that didn't work for some reason. No error was produced, but neither was any data collected. My last attempt was to have a website that just holds the tracking javascript and then loading it within the extension in an iframe with the URL configured so it contains meaningful data. This way the analytics are getting connected when I visit said webpage with a browser, but not in an extension. I've tried putting some visible javascript ont he site and have confirmed the site's javascript is executing. This method also works with other trackers, but I don't like their output and would prefer Google Analytics. Any ideas what else I could try to accomplish this?

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  • Location accuracy of Google Analytics for Android

    - by BadCash
    When testing Google Analytics (version 2) for an Android project, I noticed that the Real Time map shows my location to be about 200 miles from my actual location. I'm running my project on a physical device, which leads me to believe that Google Analytics doesn't actually send any location information, but rather gets it from the phones IP address when the data is sent to Googles server. Is there any way to alter this behavior and provide my own location data using getLastKnownLocation() for example? Sending it as an actual Label/Action string would of course work, but that means I can't use Google Analytics fancy map feature to view where my users are coming from.

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  • Piwik Web Analytics - Anyone with experience of it?

    - by Phil.Wheeler
    I'm considering trying to get more granular analytics for my sites than the free plan on my current provider, Clicky, provides. Piwik looks like a strong contender in the analytics space (and I'm surprised I haven't heard about it before) but I want to be sure I'm not throwing the baby out with the bathwater by swapping to it. Does anyone have any experience with this software and - in particular - are there any people out there who've tried customising the code or developing their own plugin?

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  • Why loading of analytics blocks site loading?

    - by HasanGursoy
    Stupid government of Turkey have blocked Google's some IPs which were used for YouTube and now we can't access services like: translate, analytics. And the problem is some web-sites do not load until ga.js returns a response or request timeout. Even sometimes I'm expecting slow loading on stackoverflow and page load never completes. How can I make this web sites load faster and skip Google analytics files?

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  • Google Analytics testing/sandbox environment?

    - by Laimoncijus
    Is there any Google Analytics testing/sandbox environment for testing your JS custom code before putting it to live system? I don't want to use my real tracking ID to see if everything is correct on my dev. environment, neither I want to put my code untested live... Is there any techniques or maybe some fake Analytics tracking lib I could use for testing?

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  • Google Analytics for Android tracking Market keywords?

    - by Andrea Baccega
    Hello there, I do want to implement the Google Analytics for mobile on my android application using the sdk provided on this page http://code.google.com/intl/it-IT/mobile/analytics/docs/android/ Does someone knows, before i start to integrate it, if it tracks the keywords people used on the android market in order to arrive and install my application ? If it does not, which would be the purpose of using this ?

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  • how to use google analytics to count clicks on a button

    - by vfix
    Hi everyone, I have google analytics on my site. One page has a button which when pressed executes some javascript. It would be nice to monitor the number of hits the button receives when people come to this page. Can anybody suggest the easiest way to achieve this with google analytics ? Are there any best practices to do this ? thanks

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  • Why are the custom campaign parameters in Google Analytics so long?

    - by Baumr
    Adding several Google Analytics custom campaign parameters can make URLs very long. For example, in Google's own examples: http://www.example.com/?utm_campaign=spring&utm_medium=referral&utm_source=exampleblog http://www.example.com/?utm_campaign=spring&utm_medium=email&utm_source=newsletter1 http://www.example.com/?utm_campaign=spring&utm_medium=email&utm_source=newsletter1&utm_content=toplink Is there shorter alternatives that GA will pick up?

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  • How to interpret Events from Unique Events in Google Analytics?

    - by Mike Buckbee
    I'm trying to add some javascript triggered Google Analytics events to a website that is already working with GA. I've included the following beneath the standard GA script (new ga.js script). _gaq.push(['_trackEvent', 'Downloads', 'Extension']); Which seems to be working ok, but the results listed in the Events Overview report (after waiting 24 hours), don't make sense. It states that there have been 1 Total Events and 5 Unique Events (screenshot below). https://img.skitch.com/20110729-8hufapcq2366rq3cbpuihjgqjd.jpg

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  • How to track site visitors across several browser sessions or computers using Google Analytics?

    - by Craig
    If a site visitor clears cookies, uses various browsers or computers then Google Analytics will have a hard time detecting them as being by the same user. However since 95% of the site content is only available when logged in, so I should be able to identify multiple visits as the same user so long as they log in. How can I identify to Google that the visits are by the same user? (without breaking the Terms and Conditions)

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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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