Search Results

Search found 1603 results on 65 pages for 'analytics'.

Page 19/65 | < Previous Page | 15 16 17 18 19 20 21 22 23 24 25 26  | Next Page >

• How should I interpret site analytics with 11 pageviews in an 3 second visit?

  - by Juank

  I'm using google analytics and recently i've noticed some weird trends going on. I have a lot of visits that last mere seconds but mark several page views... more than a normal human can see in that range of time. A specific case is that the only visitor from Ireland i've had until now recorded 11 pageviews in a 3 second visit. Are these crawlers? Shouldn't google analytics filter those out?

  Read the article

• Analytics for Windows 8 apps using Markedup

  - by nmarun

  The Windows 8 store does provide some analytics information to you in terms of downloads by market or by age group, ratings, in-app purchases. I find that a little too limiting. What if I want to know what page my users are spending most of their time or what events are being raised more frequently or are my users calling my app through the search contract I implemented or how many times was the share contract called. To answer questions like this, you need a more mature analytics framework. Markedup...(read more)

  Read the article

• LinkShare - A Customer Case of Highly Scalable BI and Analytics for E-Commerce Marketing

  LinkShare is one of the largest users of BI and Analytics for its innovative, E-commerce, Affiliate Marketing and Pay-per-Action services. It use OBIEE to gain insights into its own performance but also offers vast amounts of data and analytics to its customers on the performance of their marketing programs and campaigns. This session will highlight how creative firms can use BI to transform the products and services they provide to their customers and use BI as a competitive differentiator.

  Read the article

• Web Analytics Services - Why Are They So Important?

  A thorough and careful analysis of web analytics of your site would provide you that all important information which will help you to attract more qualified visitors to your site. But before this, you need to understand what are the important ingredients of web analytics services.

  Read the article

• Tracking Google Analytics events with server side request automation

  - by Esko

  I'm currently in the process of programming an utility which generates GA tracking pixel (utm.gif) URL:s based on given parameters. For those of you who are wondering why I'm doing this on the server side, I need to do this server side since the context which I'm going to start tracking simply doesn't support JavaScript and as such ga.js is completely useless to me. I have managed to get it working otherwise quite nicely but I've hit a snag: I can't track events or custom variables because I have no idea how exactly the utme parameter's value should be structured to form a valid event or var type hit. GA's own documentation on this parameter isn't exactly that great, either. I've tried everything from Googling without finding anything (which I find ironic) to reverse engineering ga.js, unfortunately it's minified and quite unreadable because of that. The "mobile" version of GA didn't help either since officially GA mobile doesn't support events nor vars. To summarize, what is the format of the utme parameter for page hit types event and custom variable?

  Read the article

• web analytics open source software recommendations

  - by contact-kram

  What do people use to gather metrics for their site? Do you have any open source recommendations? I would like something based on php + mysql, easily extensible and in addition to getting UX usage information, I would also need to know how my product gets used in the backend. Database and web server metrics is also something I would be interested in garnering. Please advice.

  Read the article

• Google Analytics Widget Tracking

  - by Kevin Lamb

  Hello, I have a form that is generated on a customer's website (lets say customer.com) with javascript that a user fills out and it sends to my site (app.com). I would like to be able to provide information to the customer such as how effective their AdWords campaign was and what search engines users used to end up filling out the form. I have started looking at the multiple domain linking option but I am not sure this is the right way. Is there a way to query what search engine and key words they used and pass this along with the form?

  Read the article

• Google Analytics - async tracking with two accounts

  - by MatW

  I'm currently testing GAs new async code snippet using two different tracking codes on the same page; _gaq.push( ['_setAccount', 'UA-XXXXXXXX-1'], ['_trackPageview'], ['b._setAccount', 'UA-XXXXXXXX-2'], ['b._trackPageview'] ); Although both codes work, I've noticed that they present inconsistent results. Now, we aren't talking huge differences here, only 1 or 2 visits / day every now and then. However, this site is tiny and 1 or 2 visits equates to a 15% difference in figures. Now, the final site has much more traffic, but my concerns are; will this inconsistancy scale with traffic? assuming not, is a slight variation in recorded stats an accepted norm?

  Read the article

• RegEx for Dynamic URL Goals settings in Google Analytics

  - by gaaustralia

  Hi, I have tried to work this regex to set up a goal in GA for 2 days, but I cannot get my head around it... The url format is like this: /purchase.php?cDd=1&transaction_id=xxxxxxx&verify=xxxxxxxxxxxxxxxx=&method=creditcard&type=purchase transaction_id= is populated with a sept of numbers verify= is populated by a string of numbers, letters in both caps and lower case Basically I would like to only match URLs which finish by "&method=creditcard&type=purchase" I have tried to just put &method=creditcard&type=purchase but it does retrieve other URLs too Would anyone has any ideas

  Read the article

• Adding Runtime Intelligence Application Analytics for a library and not an application

  - by brickner

  I want to add usage statistics for a .NET 4.0 library I write on CodePlex. I try to follow the step described here but my problem lies with the fact that what I write is a library and not an application. One of the steps is put the Setup and Teardown attributes. I thought about adding the Setup attribute on a static constructor or a different place that will run once per usage of the library. My problem lies with the Teardown attribute that should be placed on code that ends the usage. I don't know where to put this attribute. Is it possible to get usage statistics on a library? Maybe I can register on an event that will fire when the application unloads the dll?

  Read the article

• Good open source analytics/stats software in PHP?

  - by makeee

  The url shortening service I'm building needs to display some basic click stats to users: # of clicks, conversions, referring domains, and country (filterable by a date range). I'll possibly want more advanced stats in the future. Is there existing open source software that will allow me to pass events to it and then easily display a bar or line graph of that event (for example, a line graph of "conversions" between two specified dates). It seems like something like this should exist and would be much easier then building the whole thing from scratch. I know there are graphing scripts, but that still requires me to format the data (usually as an xml file) and then pass it to the graph. I'm looking for something a bit more complete, which I can just feed the events and then it does everything else.

  Read the article

• discrepancy in google analytics pageview totals when tracking subdomains

  - by frabjousB

  We are using the old urchin.js and are tracking 2 subdomains under the same profile. We have a “track subdomains” advanced filter defined (as per http://www.google.com/support/googleanalytics/bin/answer.py?hl=en&answer=55524) as well as 2 segments for presenting data in the reports: hostname matches exactly subdomain1.domain-name.com and hostname matches exactly subdomain2.domain-name.com When I apply these segments to our Top Content Overview report, the All Visits total for PageViews does not correspond to the # of visits reported for each subdomain. For example: All Visits = 53 subdomain1 = 24 subdomain2 = 32 Is there any reason as to why we would be seeing this discrepancy in numbers?

  Read the article

• The distance between any two pages in Google Analytics

  - by Daniel

  With a Funnel you can determine whether users navigated a certain path to some destination page. Is there a way to determine if users ever got from page A to page B regardless of which and how many pages they hit in between?

  Read the article

• Big Data&rsquo;s Killer App&hellip;

  - by jean-pierre.dijcks

  Recently Keith spent  some time talking about the cloud on this blog and I will spare you my thoughts on the whole thing. What I do want to write down is something about the Big Data movement and what I think is the killer app for Big Data... Where is this coming from, ok, I confess... I spent 3 days in cloud land at the Cloud Connect conference in Santa Clara and it was quite a lot of fun. One of the nice things at Cloud Connect was that there was a track dedicated to Big Data, which prompted me to some extend to write this post. What is Big Data anyways? The most valuable point made in the Big Data track was that Big Data in itself is not very cool. Doing something with Big Data is what makes all of this cool and interesting to a business user! The other good insight I got was that a lot of people think Big Data means a single gigantic monolithic system holding gazillions of bytes or documents or log files. Well turns out that most people in the Big Data track are talking about a lot of collections of smaller data sets. So rather than thinking "big = monolithic" you should be thinking "big = many data sets". This is more than just theoretical, it is actually relevant when thinking about big data and how to process it. It is important because it means that the platform that stores data will most likely consist out of multiple solutions. You may be storing logs on something like HDFS, you may store your customer information in Oracle and you may store distilled clickstream information in some distilled form in MySQL. The big question you will need to solve is not what lives where, but how to get it all together and get some value out of all that data. NoSQL and MapReduce Nope, sorry, this is not the killer app... and no I'm not saying this because my business card says Oracle and I'm therefore biased. I think language is important, but as with storage I think pragmatic is better. In other words, some questions can be answered with SQL very efficiently, others can be answered with PERL or TCL others with MR. History should teach us that anyone trying to solve a problem will use any and all tools around. For example, most data warehouses (Big Data 1.0?) get a lot of data in flat files. Everyone then runs a bunch of shell scripts to massage or verify those files and then shoves those files into the database. We've even built shell script support into external tables to allow for this. I think the Big Data projects will do the same. Some people will use MapReduce, although I would argue that things like Cascading are more interesting, some people will use Java. Some data is stored on HDFS making Cascading the way to go, some data is stored in Oracle and SQL does do a good job there. As with storage and with history, be pragmatic and use what fits and neither NoSQL nor MR will be the one and only. Also, a language, while important, does in itself not deliver business value. So while cool it is not a killer app... Vertical Behavioral Analytics This is the killer app! And you are now thinking: "what does that mean?" Let's decompose that heading. First of all, analytics. I would think you had guessed by now that this is really what I'm after, and of course you are right. But not just analytics, which has a very large scope and means many things to many people. I'm not just after Business Intelligence (analytics 1.0?) or data mining (analytics 2.0?) but I'm after something more interesting that you can only do after collecting large volumes of specific data. That all important data is about behavior. What do my customers do? More importantly why do they behave like that? If you can figure that out, you can tailor web sites, stores, products etc. to that behavior and figure out how to be successful. Today's behavior that is somewhat easily tracked is web site clicks, search patterns and all of those things that a web site or web server tracks. that is where the Big Data lives and where these patters are now emerging. Other examples however are emerging, and one of the examples used at the conference was about prediction churn for a telco based on the social network its members are a part of. That social network is not about LinkedIn or Facebook, but about who calls whom. I call you a lot, you switch provider, and I might/will switch too. And that just naturally brings me to the next word, vertical. Vertical in this context means per industry, e.g. communications or retail or government or any other vertical. The reason for being more specific than just behavioral analytics is that each industry has its own data sources, has its own quirky logic and has its own demands and priorities. Of course, the methods and some of the software will be common and some will have both retail and service industry analytics in place (your corner coffee store for example). But the gist of it all is that analytics that can predict customer behavior for a specific focused group of people in a specific industry is what makes Big Data interesting. Building a Vertical Behavioral Analysis System Well, that is going to be interesting. I have not seen much going on in that space and if I had to have some criticism on the cloud connect conference it would be the lack of concrete user cases on big data. The telco example, while a step into the vertical behavioral part is not really on big data. It used a sample of data from the customers' data warehouse. One thing I do think, and this is where I think parts of the NoSQL stuff come from, is that we will be doing this analysis where the data is. Over the past 10 years we at Oracle have called this in-database analytics. I guess we were (too) early? Now the entire market is going there including companies like SAS. In-place btw does not mean "no data movement at all", what it means that you will do this on data's permanent home. For SAS that is kind of the current problem. Most of the inputs live in a data warehouse. So why move it into SAS and back? That all worked with 1 TB data warehouses, but when we are looking at 100TB to 500 TB of distilled data... Comments? As it is still early days with these systems, I'm very interested in seeing reactions and thoughts to some of these thoughts...

  Read the article

• What is the best Apache logs Analyzer?

  - by Evgeny

  What real-time log analyzer can you suggest for Apache access and error logs? There is a list of web analytics software on wikipedia, but it would be great to hear opinions from people with experience without having to try all of them. Please don't suggest Google Analytics or any other hosted/javascript analytics suites, already using them, GA is not real-time and it is missing some data that the logs show. For example 404 errors, script errors, the full query-string of the referral, IP addresses, visitor path through the website, etc ...

  Read the article

• Why are 20% of keywords still provided when Google is using HTTPS across the board?

  - by Rajesh Magar

  Most of the searches that appear in my analytics are "not provided" because Google has encrypted their all searches. However, if all search results are now encrypted with HTTPS protocol then how is Google analytics still able to track some (20%) of the organic keywords details? There are still some keywords appearing in my organic keywords section. So how did Google analytics do this tracking? Does it bypass the HTTPS restrictions for the referrer?

  Read the article

• Has anyone had issues with Google Analyticator authenticating?

  - by Marc Benzakein

  I'm using Analyticator on a site and am having an issue. I am getting an error (see below) when I go to authenticate from the settings panel on Analyticator. The structure on this is a bit different and I think that's what is causing it. The website is on a subdomain which is hosted on a different server than the top-level domain. The analytics account on google only has the subdomain listed. Is it possible that the reason for the error is that the primary domain either: A. doesn't have an Analytics account or B. does have an Analytics account but it is not linked to the Analytics account of the subdomain? The page you have requested cannot be displayed. Another site was requesting access to your Google Account, but sent a malformed request. Please contact the site that you were trying to use when you received this message to inform them of the error. A detailed error message follows: The site "http://xxxxx.com" has not been registered.

  Read the article

• Microsoft Silverlight Analytics Framework - Day 2 Part 2 of MIX 2010

  - by GeekAgilistMercenary

  I went to the session on Microsoft Silverlight Analytics Framework (MSAF) today while here at MIX 2010.  It was a great walk through the features, ideas, and what the end goal is.  Michael Scherotter did a great job of lining up the ideas, intentions, and the functional ideas behind the framework. The framework is built around the Silverlight Behaviors.  If you aren't sure what behaviors are, check out these entries from Nikhilk.net Silverlight Behaviors, Silverlight 3 Drag Behavior, An Introduction to Behaviors, Triggers, and Actions, and of course the MSDN Documentation on the matter. Some of the key features of the framework is to support out-of-browser scenarios, which works perfectly with out Webtrends DX Web Services.  Offline scenarios, which again, we have worked toward supporting at Webtrends DC Web Services via caching and other criteria as needed.  Another feature that I was really stoked about is the Microsoft Expression Blend integration that removes the need for coding, thus simplifying the addition of analytics components based on events or other actions within a Silverlight Application.  This framework also easily supports A/B Testing (again, something we do quit a bit of at Webtrends with Webtrends Optimize. The last thing I really wanted to point out was the control support that this framework has support in already from Telerik RadControls, Smooth Streaming Media Element, and Microsoft Silverlight Media Framework Player 1.0.  These are implemented with behaviors and handlers exposed via MEF (Managed Extensibility Framework). All in all, great second day, great analytics framework for Silverlight, and great presentation.  Until tomorrow, adieu. For this original entry and all sorts of other technical gibberish I write, check out my other blog Agilist Mercenary.

  Read the article

• OpenWorld Session: BPM Analytics - Process Dashboards, BAM and Intelligent Optimization

  - by Ajay Khanna

  Blog Contributed by Payal Srivastava, Oracle Product Mamagement   Margin of error for the business is shrinking dramatically. Business needs to accomplish more with less i.e. minimal investment with quick ROI. Learn how you can leverage Oracle BPM suite and complementary technologies to create a robust analytics capability to provide visibility into operations to  C-level executives and Operational managers. We will talk about BPM analytics options available today that will not only enhance the visibility but allow you to intelligently optimize the business process at design time as well as run time.  The session will share some exciting this on our roadmap.  Come meet with the Oracle team members  from Product Development (Avinash Dabholkar , Eric Hsiao) and Product Management (Payal Srivastava) at the session. We would like to hear  your questions/comments about  our offering and roadmap. BPM Analytics: Process Dashboards, BAM and Intelligent Optimization, Moscone South 308, 10/3/12 @11:45am – CON 8598

  Read the article

• EMEA Analytics & Data Integration Oracle Partner Forum

  - by Mike.Hallett(at)Oracle-BI&EPM

  MONDAY 12TH NOVEMBER, 2012 IN LONDON (UK) For Oracle Partners across Europe, Middle East and Africa: come to hear the latest news from Oracle OpenWorld about Oracle BI & Data Integration, and propel your business growth as an Oracle partner. This event should appeal to BI or Data Integration specialised partners, Executives, Sales, Pre-sales and Solution architects: with a choice of participation in the plenary day and then a set of special interest (technical) sessions. The follow on breakout sessions from the 13th November provide deeper dives and technical training for those of you who wish to stay for more detailed and hands-on workshops. Keynote: Andrew Sutherland, SVP Oracle Technology Hot agenda items will include: The Fusion Middleware Stack: Engineered to work together A complete Analytics and Data Integration Solution Architecture: Big Data and Little Data combined In-Memory Analytics for Extreme Insight Latest Product Development Roadmap for Data Integration and Analytics Venue:  Oracles London CITY Moorgate Offices Places are limited, Register from this Link {see Register button at bottom right of page}. Note: Registration for the conference and the deeper dives and technical training is free of charge to OPN member Partners, but you will be responsible for your own travel and hotel expenses. Event Schedule During this event you can learn about partner success stories, participate in an array of break-out sessions, exchange information with other partners and enjoy a vibrant panel discussion. Nov. 12th  : Day 1 Main Plenary Session : Full day, starting 10.30 am.     Oracle Hosted Dinner in the Evening Nov. 13th  onwards Architecture Masterclass : IM Reference Architecture – Big Data and Little Data combined (1 day) BI-Apps Bootcamp  (4-days) Oracle GoldenGate workshop (1 day) Oracle Data Integrator and Oracle Enterprise Data Quality workshop (1 day)   For further information and detail download the Agenda (pdf) or contact Michael Hallett at [email protected].

  Read the article

• Basic Google Analytics Click Tracking and/or Overview

  - by Alan Storm

  This is a really basic Google Analytics question. Apologies in advance if it's not appropriate here, but I've had a lot of luck on Stack Overflow and this seems like the best Stack Exchange site for a question like this. I'm trying to understand how Google Analytics goals work, or if they're the right feature to be using for my situation. Most of the documentation I find online refers to the old version of the UI, not the new one. I have a website, let's call is blog.example.com. This website drives traffic to an ecommerce store, let's call that store.example2.com. I want to get reports on which links from blog.example.com are being clicked through leading to store.example2.com. How do you do this in Google analytics? Are goals the right area to be looking? Do I setup the goals on store.example2.com or blog.example.com? Or both? Is there any canonical user guide (free or paid) that covers how this works? I'm a competent programmer, but it's years since I dealt with conversion tracking on any serious level, and we've progressed well beyond my frozen caveman pixel tracking knowledge. Thanks in advance

  Read the article

• Google Website Optimizer: track AJAX

  - by Jorre

  I am tracking AJAX goals in Google Analytics with no problems. But I would like to use Google Website Optimizer to see what buttons or headlines get the most leads in our newsletter subscription form. Since a new subscription only triggers AJAX/Javascript, I cannot add a separate success/thankyou.html page to track in Google Website Analyzer. There is not much to find in Google's documentation about this. Has anyone been able to do this?

  Read the article

• How dangerous is e.preventDefault();, and can it be replaced by keydown/mousedown tracking?

  - by yc

  I'm working on a tracking script for a fairly sophisticated CRM for tracking form actions in Google Analytics. I'm trying to balance the desire to track form actions accurately with the need to never prevent a form from not working. Now, I know that doing something like this doesn't work. $('form').submit(function(){ _gaq.push('_trackEvent', 'Form', 'Submit', $(this).attr('action')) }); The DOM unloads before this has a chance to process. So, a lot of sample code recommends something like this: $('form').submit(function(e){ e.preventDefault(); var form = this; _gaq.push('_trackEvent', 'Form', 'Submit', $(this).attr('action')); //...do some other tracking stuff... setTimeout(function(){ form.submit(); }, 400); }); This is reliable in most cases, but it makes me nervous. What if something happens between e.preventDefault();and when I get around to triggering the DOM based submit? I've totally broken the form. I've been poking around some other analytics implementations, and I've noticed something like this: $('form').mousedown(function(){ _gaq.push('_trackEvent', 'Form', 'Submit', $(this).attr('action')); }); $('form').keydown(function(e){ if(e.which===13) //if the keydown is the enter key _gaq.push('_trackEvent', 'Form', 'Submit', $(this).attr('action')); }); Basically, instead of interrupting the form submit, preempting it by assuming that if someone is mousing down or keying down on Enter, than that form is submitted. Obviously, this will result in a certain amount of false positives, but it completely eliminates use of e.preventDefault();, which in my mind eliminates the risk that I might ever prevent a form from successfully submitting. So, my question: Is it possible to take the standard form tracking snippet and prevent it from ever fully preventing the form from submitting? Is the mousedown/keydown alternative viable? Are there any submission cases it may miss? Specifically, are there other ways to end up submitting besides the mouse and the keyboard enter? And will the browser always have time to process javascript before beginning to unload the page?

  Read the article

• Oracle lance « Financial Analytics for SAP », une application de Business Intelligence destinée aux clients de SAP

  Oracle lance « Financial Analytics for SAP » Une application de Business Intelligence destinée aux clients de SAP Est-ce la volonté de pousser le bras de fer qui l'oppose à SAP à son paroxysme qui a poussé Oracle à lancer une nouvelle application de Business Intelligence capable d'obtenir des aperçus des données financières à partir des ERP de SAP ? Peut-être. Quoiqu'il en soit, Oracle enrichit encore un peu plus son portefeuille applicatif professionnel avec « Oracle Financial Analytics for SAP », une solution qui propose des modules pour des domaines fonctionnels variés allant des achats et des charges jusqu'au marchés verticaux. Mais surtout, ce nouveau produit i...

  Read the article

• Sitting At MIX10 In Michael Scherotters Presentation of the Silverlight 4 Search Analytics Framework

    As usual, Michaels doing a great job of presenting enthusiastically the new Silverlight Analytics Frameworks.  Im hugely impressed with how easy it is going to be to add analytics to a... This site is a resource for asp.net web programming. It has examples by Peter Kellner of techniques for high performance programming...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.

  Read the article

< Previous Page | 15 16 17 18 19 20 21 22 23 24 25 26  | Next Page >