Analyser le trafic et les mots clés Google Image dans Google Analytics Avant le 22 juillet 2011 on pouvait retrouver les informations sur le trafic en provenance de Google image dans la vue de Google Analytics : site référent: google.tld | /imgres Google Analytics traitait donc par défaut les accès depuis son moteur de recherche image comme un site référent classique et ne fournissait pas d’informations sur les mots clés permettant de générer ces visites. Si vous surveillez un peu le trafic image vous avez surement un graphe qui ressemble à ça depuis le 22 juillet :-( Pas de panique, ce trafic est toutefois enregistré dans Google Analytics qui le consolide dorénavant avec le trafic Google organique dans la vue Moteur de recherche : google | Avec les résultats naturel Si le trafic image est un peu conséquent sur votre site, vous pourrez certainement observer une tendance d’augmentation globale du trafic organique depuis le 22 juillet comme ci dessous … ouf on est sauvé :-) Source du script sur le forum de support de Google Analytics: inShare13
Définition et histoire du Web analytics | Blog web analytics Cet article a été mis à jour le 07/01/2013. Le Web analytics en France et plus largement en Europe est en développement. Les annonceurs sont désormais conscients de la valeur ajoutée que peut leur apporter le Web analytics et cela quelque soit leur(s) modèle(s) économique(s). De nouvelles sociétés se sont lancées dans le domaine du conseil en Web analytics et accompagnent de plus en plus d’annonceurs, qu’ils soient pure player ou non. Chez nos voisins américains, le Web analytics est déjà mature. Face à cet engouement, le moment est venu de prendre du recul et de retracer les grandes étapes de l’évolution de la discipline depuis la création du marché par la société Webtrends en 1993 jusqu’à aujourd’hui. Cet article revient sur la définition du Web analytics, ses objectifs, le fonctionnement et l’évolution des solutions jusqu’à aujourd’hui et tente de prédire les prochaines grandes tendances. Il est composé de 7 parties auxquelles vous pouvez accéder directement grâce aux liens suivant… ).
Google Analytics for WordPress - Yoast - Tweaking Websites Do you want to track how many visitors you have? Do want to know where they come from and what they do on your site? Google Analytics is the de-facto standard for measuring this, and much more. Adding Google Analytics to your website is as easy as pie with the Google Analytics by Yoast WordPress plugin. Google Analytics by Yoast Premium Buy GA Premium now from $89 » Start tracking with just a few clicksEasily switch to Google’s Universal trackingTrack your 404 error pages and search results like a pro! Possibly even more important, buying Google Analytics by Yoast Premium gives you access to our support team. All about the Premium plugin So What does this Google Analytics plugin do? Stats for GA by Yoast First of all, this plugin makes sure you’re using the latest tracking code. You’ll be able to select your website in a drop down of the sites you have in your Analytics, hit save, and you’re done. More information Available in your language! Convinced? 1 year upgrades & support: Support
Luna Metrics Understanding Bot and Spider Filtering from Google Analytics On July 30th, 2014, Google Analytics announced a new feature to automatically exclude bots and spiders from your data. In the view level of the admin area, you now have the option to check a box labeled “Exclude traffic from known bots and spiders”. Most of the posts I’ve read on the topic are simply mirroring the announcement, and not really talking about why you want to check the box. Maybe a more interesting question would be why would you NOT want to? Still, for most people you’re going to want to ultimately check this box. 20 Google Facts & Stats that Every Marketer Should Know No company dictates the online marketing industry and all of our careers like Google. This post outlines 20 things that every marketer should know about Google. If we missed any important facts, please let us know in the comments. Easy Cohort Analysis for Blogs and Articles Enter Cohort Analysis. Segmenting Google Analytics by Session Frequency
Making Attribution work for Your Business On Friday, November 2, following our public whitelist of the Attribution Modeling Tool, Bill Kee (Product Manager, Google Analytics) and Neil Hoyne (Global Program Manager, Attribution), came together to lead the 5th and final webinar in our series on marketing attribution. They identified opportunities in the customer’s journey from introduction to conversion, including:Google’s recommendations for how companies should structure their own attribution programs.Basics on the methodology and configuration of the Attribution Modeling Tool, and how to create custom models that can improve your business’ performance.Identifying specific opportunities in attribution from brand-to-generic trends to position-based weighting. If you weren’t able to attend the live webinar, Attribution for Digital Success, you can view a recording here: You can also catch up with our entire attribution webinar series, which included: Questions What business variables influence the decision on an Attribution Model?
Show Keyword Position Using Filters And Advanced Segments - YouMoz There are many ways to filter your Google Anlaytics results, but how many of the methods out there can actually give us data that we can present to our clients in a way that they understand? After reading various posts on filtering organic traffic in Google Analytics I decided to convert the results we got from the filter into readable, valuable content that the client could understand. The end product was a easy to understand graph showing the position of your searched keywords as a percentage of total visits: I really believe that this is valuable from a reporting point of view. How many of your clients have asked if their keywords are rank in the top five positions or better yet, in the 1st position. Well now you can tell them that 33% of their total visits are from keywords ranked in the top five positions in Google. Step 1 (Creating the Filters): Step 1: Filter 1 (Extracting the data): Step 1: Filter 2 (Displaying the data): After a few hours you will start to see the results.
Actualité des moteurs de recherche et du référencement Storyzy, moteur de recherche de citations Storyzy, qui vient de terminer une levée de fonds, est un moteur de recherche de citations (pour l’instant uniquement en anglais), tentant d’obtenir une visibilité sur un marché de niche. Il sera intéressant d’observer son évolution dans les mois qui viennent, et sa complémentarité face à l’ogre Google… On a appris la semaine dernière que le … > Lire la suite... Les soubresauts dans les SERP ne venaient pas de Penguin, dixit Google John Mueller a indiqué dans un hangout que les nombreux changements constatés dans les résultats du moteur de recherche en fin de semaine dernière n’étaient pas dus à un lancement de Penguin. > Lire la suite... Quelle est la taille idéale pour une balise Title ? On entend et lit beaucoup de choses sur la taille considérée comme idéale pour la balise Title d’une page web. > Lire la suite... Update Google ou lancement de Penguin depuis quelques jours ? > Lire la suite... Goossip : Pénalité sur les Interstitiels et Spam Reports
SEO Site Tools - Google Chrome extension gallery Conversion Room Use Customer Journey Maps to Combat Self-Centeredness Let me start with a basic reality of life: people are self-centered. We all are. Everyone has their own frame of reference, which heavily influences what they do and how they do it. Employees also have their individual frames of reference; which often includes a deeper understanding of products, company organization, and subject matter than do customers. If this self-centered bias is left unchecked, decisions made inside of companies will often reflect the frame of reference of employees, not customers. Seeing the Whole Picture Customers have their own needs and perspectives. As customers go on their journeys, they may interact with use several times. In addition to not recognizing that we may be interacting with customers many times along a single journey, we also miss opportunities to satisfy customers in other areas along their journey. This is why customer journey maps (CJMs) can be so valuable. Let’s start with the basics, what is a CJM? Key Points of Customer Journey Maps
Measuring Your Keywords As a search analyst, I’m often obsessed concerned with how many visits a website has received from search engine traffic. It’s one way to measure the success of an SEO project. Even better, I like to measure how many visits came from non-branded keywords (because those are the people who don’t already know you – new blood!). But there’s one thing I want need to know and track on an ongoing basis that GA just doesn’t do. I need to see how many keywords send traffic and whether the number of keywords (NOK) is increasing or decreasing. Why are number of keywords important? There are a couple reasons why I need to know whether the NOK sending traffic to a site is increasing or decreasing over time. Indexation If the NOK is increasing, that’s a good indication that the number of pages of the site being indexed and/or ranking highly is increasing. Of course, other factors can affect your NOK. Early Alert Monitoring your NOK also gives you a heads-up on site issues. Variety How to Monitor Your NOK
Blog SEO BlackOut: Techniques référencement Google & Black Hat SEO Cross Domain & Sub-Domain Tracking with Google Analytics » Closed Loop Marketing Blog Many of our clients have a need to track their web site visitors across domains and sub-domains. However, Google Analytics does not automatically track a single visitor across different domains or sub-domains using the default set of tracking code, so some customization of the default code has to take place. All of my past research suggested this should be easy, and like anything it is, if you have all of the information you need. After many, many, many, many tests, I have come up with the following guidelines. (Please note this is for the ga.js tracking code, not the older urchin.js code.) Let’s start with the easy one. Premise: Your main site is There are links from your main site to your store, , and your help section, You want to track a single visitor who views the pages on your sub-domains. Your default tracking code is: var gaJsHost = (("https:" == document.location.protocol) ? try { var pageTracker = _gat. pageTracker. } catch(err) {}</script> var pageTracker = _gat. Default code is this:
The Analytics and Site Intelligence Blog One thing that can be really frustrating in Google Analytics is when you understand the data that you want to see but when you try to drill down into the data, or create a custom report, you aren’t given the right combination of Metrics and Dimensions that you want. Because a lot of Google Analytics users have experienced this, I thought I’d break down both Dimensions and Metrics within GA, and shed some light onto what can and can’t be done with them. Dimensions in Google Analytics Dimensions are characteristics or descriptive attributes of an object. Simply put, they describe the data. A few examples of Dimensions are Campaign, City, Browser, Language, Source, and Medium. Tip: So you don’t confuse them, Dimensions will always be colored green when you add them or create Custom Reports. Metrics in Google Analytics Generally speaking, a Metric is a way to measure your data. Tip: Just like with Dimensions, Metrics will always be colored blue when you add them or create Custom Reports.