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• Google ranking - Modal views - google analytics events [duplicate]

  - by minchiya

  This question already has an answer here: How to diagnose a search engine ranking drop? 5 answers I modified a site recently : - I added many google analytics events, to better understand user behaviour. - I added also two buttons on almost all the pages of the site. Those buttons show modal-views (I am using bootstrap) with questions about user opinion. This modals views are on almost all pages of the site. After this modification the ranking of the site decreased on google search from the second place to the seconde page :( Is it the events-collected or the model-views added ? If the model-views are the reason, then how to better do similar surveys ? Did you have please similar experience, or explanation to this ? Perhaps it is the effect of panda4 update. In this cas, what can I look for to improve the site. How to debug the problem/reasons ?

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• how to check that Google Analytics Tracking Code is firing on an iPad

  - by crmpicco

  I am used to using the Firebug extension "Omnibug" with Firefox to check that Google Analytics Tracking Code is firing on my website. This application works very well and has minimal overhead. I am now testing the website on an iPad and would like to know if there is a way to check that the GATC is firing on the iPad natively? I have spoofed the iPad UA string on Firefox on the desktop and it appears to fire correctly, however i'd like to see it happening on the device itself (if at all possible). I know that Firebug can be installed on an iPhone by means of a bookmarklet, however it is 1) quite buggy and not very user-friendly and 2) it doesn't support Omnibug. How can I check that my GATC is firing on my iPad?

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• Why Google Analytics is displaying wrong landing pages?

  - by Salman

  I see all of my pages as Landing Pages in Google Analytics which cannot be true as I did not post those pages anywhere and I don't see any traffic hitting directly to that page. Also, I am using virtual page views on few buttons and I see those virtual pages as Landing pages too. For example, /click/request-a-quote 35000 views 35000 is too big a number to be ignored. Even if I ignore Virtual Pages Views, I see a lot of pages as Landing Pages that I am 100% sure that visitors ( atleast not so many users) are NOT hitting directly. Any advice, how to debug it? PS: I'm using the following code: var _gaq = _gaq || []; _gaq.push(['_setAccount', '<']); _gaq.push(['_setDomainName', 'none']); _gaq.push(['setLocalGifPath', '/images/_utm.gif']); _gaq.push(['_setAllowLinker', true]); _gaq.push(['_trackPageview','account/phase1']);

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• Use Google Analytics to record newsletter clicks to an external website

  - by rlsaj

  Note: by external website I mean a website that we do not have access to the code. For example www.facebook.com I want to record how many social share clicks we have from our customer newsletters. For example, when a customer receives a newsletter they can click "Share this on Facebook" which shares the hosted version of the newsletter. If I wanted to record these newsletter clicks to our website I understand we'd use Google URL Builder (https://support.google.com/analytics/answer/1033867?hl=en) to create a UTM URL but because we're linking to an external site, how do we record this?

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• Tracking first visit date in Google Analytics

  - by dusan

  I want track a site's visitor retention using Google Analytics, to see if unregistered users are returning to it, within a time frame of 2+ months from now. This blog post seems to be on the right track, but I want to track unregistered users, so I don't have a "join date" or similar variable at my disposal. This other blog post suggests using all 5 GA custom variables, using the first variable slot on the first week, variable 2 on week 2, etc. This method will allow me to track 5 weeks of visitors. I want to track more than 5 weeks of visitors, so I was thinking on using two custom variables in GA: visitor's first visit date, and visitor's last visit date. How I can save the first visit date? Because if I save another value in the same slot the old value will be overwritten, and I don't know how reliable is to save that variable conditionally (reading the __utmv cookie to check whether the "first visit date" is set, if it isn't set I save the current date)

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• Find visitors to multiple subdomains on single visit with Google Analytics

  - by mrwweb

  I'm working on a site that has quite the backlog of Google Analytics data for their site network. One of our big questions is whether people enter on one site and move to another (and if so, of course, how do these visits differ from single site visits). The hostname report (Audience Network Hostname) shows all the host names and I've setup Advanced Segments to get site-specific data. That all works great, but I'm really having a hard time figuring out how to find visits to multiple sites as defined by visiting more than one subdomain or the root site and one or more subdomains. I do see that other hostnames somehow come through when I apply one of the segments to the host name report. Which I can't say I expected. Is that the best way to see if people are visiting 2+ sites?

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• Google Analytics Campaigns Not Tracking E-Commerce

  - by Paul

  I am running email campaigns via MailChimp and tracking the success of my campaigns via Google Analytics. I can successfully see data being tracked for: Reporting > Conversions > Ecommerce (Receiving Data) Reporting > Traffic Sources > Campaigns (Receiving Data) However, I am not receiving any Ecommerce data for the individual campaigns: Reporting > Traffic Sources > Campaigns > Ecommerce (No data) So I see data like: Visits: 18,501 Revenue: $0.00 Everything I have read leads me to believe this should just "work" if Ecommerce is setup. Is there some additional action I need to take for this work? Any help would be appreciated!

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• over reporting in google analytics - social media stats

  - by colmcq

  I have a client and their traffic from social media reads thus: 80% from facebook 1% from Twitter This suggestsd they are not exploiting twitter at all and this was in my presentation but my boss took it out claiming twitter stats are under reported in google analytics. I can't substantiate this claim and wonder where she got this idea from. Can anyone shed light on this? Are my stats wrong and should I disregard these figures? but 80-1 seems like one hell of an under report! thanks c

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• Google Analytics goal funnel does not recognize virtual page views

  - by Webber Smith

  I have a setup wizard with 3 steps. Since I'm using AJAX each step uses a virtual pageview with an appropriate URL for each step (see below). The pageviews are being recorded in the Content section of Google Analytics but the Goal Funnel still shows zero for each step. I've tried advise on other forums such as... Make sure Goal URL is set to Exact match Make sure no steps or the Goal URL are a parent directory of any other steps. For example, don't track /wizard/ as a Goal/step and track /wizard/step2/. Not sure why this would be a problem since it is an exact match, but it shouldn't hurt so I tried it... Require (or don't require - tried both) the first step in the funnel ...but none of these seem to work. Thoughts? Goal Settings Exact match : "/wizard/setup-complete/" Funnel Step 1 : "/wizard/step1/" Step 2 : "/wizard/step2/" Step 3 : "/wizard/step3/"

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• Google Analytics - Traffic Source - Search engine - (Not Provided)

  - by Dharmavir

  I am using Google Analytics, now here when I go to "Traffic Source Overview" under that it shows Keyword as "(Not provided)" which is almost 40% of my traffic source. Now more than 90% of search engine traffic is from Google and still out of that for more than 40% of keywords are "(Not provided)". Can anyone explain me what is going wrong here or how can I get that data? Because that comes as 1st option and is biggest keyword in the list. Will that be some crawler or secure google search?

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• Google Analytics Content Experiments for non-simultaneous tests

  - by mnort9

  I really like how Google Analytics displays the results of content experiments. However, it seems the tool only works for simultaneous tests. I'd like to use the tool without implementing the page variation code into my site. For example, I want to test copy on an ecommerece category page. The original page variation would be the current page for the past 2500 visits. After making the copy changes, the new variation would be for the next 2500 visits. I realize I can simply record the metrics before and after each variation, but I'd like to take advantage of Google's presentation of the experiment. Is it possible to use the Content Experiments in this way?

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• Google Analytics: tracking subdomains for a profile defined for a subdomain

  - by Alex G

  Hope you can help. We have set up a single property under our Google Analytics account. That property's default URL is set to subdomain1.example.com. We would now like to track multiple subdomains for example.com, under the same property. Seems easy enough: we just need to add _gaq.push(['_setDomainName', 'example.com']); to our tracking code, right? But my question is: does it matter if a) we don't need to track www.example.com (this is tracked under a seperate account and property) and b) the default URL for our property is set to subdomain1.example.com? Will either of these have any impact on data collection?

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• Sudden drop of pageviews/visit and increase of bounce rate in Analytics

  - by Tebb

  Google analytics stats: 04 june 2012 Visits: 4.423 Unique visitors: 3.558 Pageviews: 77.352 Pageviews / visit: 17,49 Visit length: 00:06:26 Bounce rate: 1,09% 05 june 2012 Visits: 4.652 Unique visitors: 3.825 Pageviews: 45.087 Pageviews / visit: 9,69 Visit length: 00:06:45 Bounce rate: 19,60% From one day to another the bounce rate went from 1% to 19%, the pageviews dropped by half so did the pageviews/visit. The only thing I changed (If I remember correctly) on the site, was an advertisment that used a javascript. Could this be the reason? and, if it is, how can I know which one is the real stats?

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• Google Analytics: Track user usage and flow

  - by Quintin Par

  Can someone help to query Google analytics to track a specific user behavior and usage pattern? Currently I pass user id’s to GA as _setCustomVar(2, 'id', id, 1); This is session based. But I am yet to master how I can utilize this to view usage pattern & behavior for the passed id. Say, I need to understand the visualization flow for one id or the page view count for that id etc Rephrasing, can I filter all existing reports for a specific id that I can select?

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• Google Analytics w3wp.exe?

  - by s15199d

  In this link Google defines a Visit. The key part that interests me now, is this: "If a user is inactive on your site for 30 minutes or more, any future activity will be attributed to a new session." Would an idle user (e.g. an employee whose PC is left on over the weekend) record "activity" as a result of the w3wp.exe process recycling? Our site caching model refreshes every 30 minutes. Could this trigger "activity" for an idle user? I've asked this on the Google Analytics forum a week ago and no response.

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• Tracking a single page on another domain in Google Analytics

  - by Ross

  I have access to edit a 'mini-site' hosted on our organisation's parent site. I'd like to track this page using Google Analytics, however I don't have access to the front page so I can't verify this as my domain. Using the tracking code for our main site works, however I don't want this data to be confused with similarly named pages on our site (for example, our mini-site is at /radio, and if we had a /radio at our main site this would be counted as the same). Has anyone been in this situation before? I'd like to just redirect visitors to our mini-site to our main site, seeing as it ranks higher in Google, but I've been told to maintain a separate site with our main features.

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• Powermapper alternatives and google analytics?

  - by rugbert

  Whats a good application to map the hierarchical structure of a website and maybe get some google analytic action going on? Powermapper is pretty expensive and the trial version didnt seem particularly good at importing google analytics CSV files as advertised. In fact, out of the 1000 pages mapped, exactly 0 were successfully imported. I dont really need all the features Powermapper offers anyway, so the price tag is a bit much. All I really need is like, a simple visual representation of my (automatically generated) site structure (like a hierarchical site structure) and the ability to integrate my google analytic stats (page views mostly) with it.

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• Google Analytics Funnel problems

  - by Alex

  I have a problem with the funnels in Google Analytics. So I have a e-commerce website that I want to track the user path to a purchase. I want GA to track if a user goes trough these steps [Item page]-[Purchase]-[Checkout]. I thought this could be done by funnels and my setup currently now consist of: Step 1: [Item page] (Required) Step 2: [Purchase] Goal: [Checkout] But when I go to the "Funnel Visualization Report" the following shows. [Item page] Visits: 150 [Purchase page] Visits: 170 [Checkout] Visits: 32 How can the [Purchase page] be higher than the [Item page]? I searched the internet over, and found something called Horizontal Funnels but this doesn't show the correct numbers, again the purchase and checkout steps are higher than the item page. So somehow it doesn't need step 1, to fulfill the funnels/goals. What am I doing wrong?

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• Google Analytics data Missing for 4 days

  - by Shumaila

  I used wrong tracking id in my E-commerce tracking code for Google analytics and missed the data for few days. To add that missing data in my account I have written a short script which manually send all orders data for four days to GA account but what my concern is date : Those orders which already placed on different dates and , when if I run my script and so it will send my missing data with current date , which I do not want. ( I want to send date when that order is actually placed) do anyone help me with this ? I am really much stuck with my work here.

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• Rethinking Oracle Optimizer Statistics for P6 Part 2

  - by Brian Diehl

  In the previous post (Part 1), I tried to draw some key insights about the relationship between P6 and Oracle Optimizer Statistics.  The first is that average cardinality has the greatest impact on query optimization and that the particular queries generated by P6 are more likely to use this average during calculations. The second is that these are statistics that are unlikely to change greatly over the life of the application. Ultimately, our goal is to get the best query optimization possible.  Or is it? Stability No application administrator wants to get the call at 9am that their application users cannot get there work done because everything is running slow. This is a possibility with a regularly scheduled nightly collection of statistics. It may not just be slow performance, but a complete loss of service because one or more queries are optimized poorly. Ideally, this should not be the case. The database optimizer should make better decisions with more up-to-date data. Better statistics may give incremental performance benefit. However, this benefit must be balanced against the potential cost of system down time.  It is stability that we ultimately desire and not absolute optimal performance. We do want the benefit from more accurate statistics and better query plans, but not at the risk of an unusable system. As a result, I've developed the following methodology around managing database statistics for the P6 database.  1. No Automatic Re-Gathering - The daily, weekly, or other interval of statistic gathering is unlikely to be beneficial. Quite the opposite. It is more likely to cause problems. 2. Smart Re-Gathering - The time to collect statistics is when things have changed significantly. For a new installation of P6, this is happening more often because the data is growing from a few rows to thousands and more. But for a mature system, the data is not changing significantly from week-to-week. There are times to collect statistics: New releases of the application Changes in the underlying hardware or software versions (ex. new Oracle RDBMS version) When additional user groups are added. The new groups may use the software in significantly different ways. After significant changes in the data. This may be monthly, quarterly or yearly.  3. Always Test - If you take away one thing from this post, it would be to always have a plan to test after changing statistics. In reality, statistics can be collected as often as you desire provided there are tests in place to verify that performance is the same or better. These might be automated tests or simply a manual script of application functions. 4. Have a Way Out - Never change the statistics without a way to return to the previous set. Think of the statistics as one part of the overall application code that also includes the source code--both application and RDBMS. It would be foolish to change to the new code without a way to get back to the previous version. In the final post, I will talk about the actual script I created for P6 PMDB and possible future direction for managing query performance. 

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• New Experts Direct Contribution - Multiple Currency in Analytics

  - by Cheryl

  We do our best to anticipate what you need to know when we design and write our courses for CRM On Demand. But we know that we cannot hit on every situation or implementation scenario that you might encounter. That's why I love our Experts Direct program - this is where we encourage our wide network of CRM On Demand experts to contribute knowledge that they have gained from working directly with companies on their specific challenges or questions. (See Direct From Our Experts!) The latest Experts Direct contribution comes from Leon Dolman, who works with CRM On Demand customers every day. Leon addresses what you should expect to see in your reports and in the application when your company's users enter opportunity revenue information in more than one currency. He works through a scenario to show how currency settings can affect the data that you see in your reports. For example, do you know what will you see in your Opportunity reports if you have two different currencies represented, besides your company's default currency, but your company administrator has only set exchange rates for one of them? Leon knows...and now he has shared that knowledge - and more - with the rest of us. Go to the Multiple Currency in Analytics item in the Training and Support Center to read more - and while you're there, take a look at the other Experts Direct content to tap into that expert knowledge that we're collecting for you. Just click the Browse More Topics link in the Experts Direct box on the home page to see the full list. And let us know if there are other topics that you'd like to see our experts address. Post a comment to start a conversation or send us an email.

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• Social Analytics in your current data

  - by Dan McGrath

  By now everyone is aware of the massive boom in social-networking (Twitter, Facebook, LinkedIn) and obviously a big part of its business model revolves around being able to mine this data to create information that can be used to make money for someone. Gartner has identified 'Social Analytics' as one of the top 10 strategic technologies for 2011. Has anyone looked at their existing data structures to determine if they could extract a social graph and then perform further data mining against this? How does it fit in with your other strategic development strategies? What information are you trying to extract from the data? Take for example, a bank. They could conceivably determine a social graph through account relationships and transactions. Obviously there would be open edges on the graph where funds enter/leave the institute, but that shouldn't detract from the usefulness of the data. I'm looking for actual examples with the answers, as well as why/how they did it. References to other sites will be greatly appreciated. Note: I'm not at all referring to mining data out of actual social networks.

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• Correct configuration of multiple Analytics trackers per page, spanning domains and subdomains

  - by Eliot Shepard

  My company publishes sites on a somewhat convoluted domain structure, and we're having trouble getting accurate numbers in Analytics when we have multiple trackers on the page. We publish under two brands (A, B). Each brand has a "national" site at A.com, B.com, as well as per-city "local" sites at eg. ny.A.com, la.A.com, sf.A.com, etc. Right now we're trying to track in these dimensions: Full network (A.com, ny.A.com, B.com, la.B.com, etc.) All sites in brand (A.com, ny.A.com, la.A.com, etc.) Inidividual site (ny.A.com) Here are the commands we're using on an individual site: _gaq.push( ['t0._setAccount', 'UA-XXXXXX-1'], // full network ['t0._setDomainName', 'none'], ['t0._setAllowLinker', true], ['t0._trackPageview'], ['t1._trackPageLoadTime'], ['t1._setAccount', 'UA-XXXXXX-2'], // brand ['t1._setDomainName', 'none'], ['t1._setAllowLinker', true], ['t1._trackPageview'], ['t1._trackPageLoadTime'], ['t2._setAccount', 'UA-XXXXXX-3'], // individual ['t2._setDomainName', 'none'], ['t2._setAllowLinker', true], ['t2._trackPageview'], ['t2._trackPageLoadTime'] ); We send the same commands to each account because we've had strange results when trackers were configured differently in the past. However, right now we're seeing inflated numbers for uniques on all three trackers. What is the correct way to configure this setup? Thanks for your time.

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• Two different domains as one user session in Google Analytics

  - by Mathew Foscarini

  I have two websites that are run as the same service. Each domain offers articles from a different market. At the top of each page the two domains are shown as menu options. If a user clicks one they can switch to the other domain. See here: http://www.cgtag.com Each domain has a different Google Analytics account, and when a user switches domains Google is counting this as a new session. It's listing the other domain as the "referral" for that new session. When the user switches back to the first domain Google is counting this as a returning visitor. This is messing up my reports. Showing returning visitors values that are higher than reality. It's also increasing hits on landing pages when the user switches, and listing the other domain as a referral site. I've found tips on how to list two domains as one website, but that results in merging the data. I want to keep the two domains separate so that I can track each ones performance, but I don't want to count domain changes as new sessions. Maybe something like treating the two domains as subdomains.

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• What's New in Business Analytics at Oracle?

  - by jmorourke

  Business Analytics, which includes Business intelligence and Enterprise Performance Management, are top priorities for IT and Finance executives in 2012.  Some of the hot market trends and topics include managing big data, mobile information access, in-memory computing, advanced analytics, predictive modeling, leveraging unstructured data, as well as risk and performance management.  Find out what Oracle is doing about all of this, and what’s new from the market leader in Business Analytics by attending our live webcast event on April 4th titled “Introducing Oracle’s Business Analytics Strategy”.  At this event, you’ll hear about Oracle’s strategy for Business Analytics from Mark Hurd, Oracle President and you can learn about the latest advancements in Oracle’s Business Analytics solutions from Balaji Yelamanchili, SVP of Analytics and Performance Management. The keynote session from Mark and Balaji will be followed by breakout sessions that provide a more in-depth look at what’s new in specific product areas including the latest release of Oracle’s Hyperion Enterprise Performance Management suite, Oracle Business Intelligence Applications and Exalytics In-Memory Machine, Oracle Endeca Information Discovery, Big Data and Advanced Analytics solutions. This event will provide a great opportunity to hear about what’s new in Business Analytics at Oracle, and for attendees to pose questions to Oracle experts during live chat sessions.  Here’s a link to the registration page, and more details about the April 4th event.  We hope to see you (virtually) there! http://www.oracle.com/us/corporate/events/business-analytics/index.html Also, use the following hashtag to follow along on Twitter and share comments during the webcast and Q&A sessions:  #oracleanalytics

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