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How to stop the spam in Google Analytics. Artículo en Español Related article: Do you see an unusual increment of direct visits on your Reports?

How to stop the spam in Google Analytics

Learn More ... Why is important to Stop the Spam in Google Analytics? Google Analytics is the most powerful web analytics service on the Internet. It provides us with many tools and features to analyze the traffic coming to our WebSite, but as any Internet service is susceptible to be hit by SPAM. If you want to keep getting the best out of Google Analytics, is important to stop this unwanted “visits” as soon as you spot them. My articles about Spam have helped over 100,000 readers to get rid of the spam. Active Spammers: What is a Referrer Spam? It is called referrer spam because initially it was showing as a fake referral (e.g. , but it also can show up as a search term (e.g. непереводимая.рф), a page or even as a direct visit. New vs New Advanced Segmentation. Those of us familiar with analytics understand the importance of segmenting our data for valuable insights.

New vs New Advanced Segmentation

If you aren’t segmenting your data, you should be. Avinash Kaushik put it well when he said “Segment or die. It is as simple as that.” In this blog, we will look at providing a helpful way to analyze your users’ first visits to produce actionable insights. Through this segmentation, we will learn valuable information regarding user behaviors. Webanalytics.

Google Analytics est un outil puissant mais qui peut consommer rapidement pas mal de temps, et le temps est très précieux lorsqu’on est e-commerçant.


Pour être plus efficace dans l’analyse des données, Google Analytics a une fonction qui va rapidement devenir indispensable pour vous si vous ne l’utilisez pas déjà. Google Analytics et variables personnalisées. Bonjour à toutes et à tous,

Google Analytics et variables personnalisées

Les cookies gérés par Google Analytics - Google Analytics. Afin de mieux comprendre comment fonctionne Google Analytics, il est important de se pencher sur les cookies qu’il utilise.

Les cookies gérés par Google Analytics - Google Analytics

Tout d’abord, il faut savoir que GA gère des cookies first party, c’est à dire des cookies qui sont posés par le domaine en cours dans la barre d’adresse, par opposition aux cookies tierce partie (”third party”) qui sont posés par un domaine distant. L’avantage d’un cookie first party, c’est qu’il sera beaucoup moins fréquemment rejeté par un paramétrage de sécurité du navigateur ou par les logiciels bloqueurs de publicités.L’inconvénient, c’est que les données placées dans le cookie ne seront pas propagées d’un domaine à l’autre : on perd ainsi le tracking à chaque changement de domaine lors de la navigation de l’internaute. How to Use Timer Listeners in Google Tag Manager. Do you have long pages on your website or a blog with a high bounce rate?

How to Use Timer Listeners in Google Tag Manager

Visitors may not actually be bouncing. The bounce rate metric, which measures the percentage of sessions whereby a person left your website from the entrance page without interacting with the page, is often misleading. It can even be downright depressing for blogs and long pages because if a page viewed has no further interactions and is the last or only hit in the session, than Google Analytics will assign the page a time of zero. This leads to the wrong conclusion that the individual bounced, increasing your bounce rate, when they in fact did not. Event Listeners in Google Tag Manager have made it easy to capture on-page interactions like link clicks, downloads, button clicks, and form submits. Aside from tracking clicks and form submits, GTM also provides an automated Timer Listener.

The most common way that we use Timer Listeners is to track the time a user spends on a particular page. Basic Implementation. Taux de rebond réel de Google Analytics. Je vais en faire bondir plus d’un, mais le taux de rebond de Google Analytics ne sert strictement à rien.

Taux de rebond réel de Google Analytics

Pire encore, il fausse vos statistiques et vous induit en erreur ! Pourquoi ? Parce qu’il est un doublon de la variable « visites à une page », et parce qu’il considère au même niveau une visite d’une page pendant 2 secondes ou pendant 5 minutes. Mode de calcul des visites dans Google Analytics - Centre d'aide Google Analytics. Il est important de comprendre le concept de visite dans Google Analytics, car bon nombre de fonctionnalités, rapports et autres statistiques dépendent de la façon dont Google Analytics calcule cette statistique.

Mode de calcul des visites dans Google Analytics - Centre d'aide Google Analytics

Une visite correspond à un groupe d'interactions qui se produisent sur votre site Web au cours d'une période donnée. Par exemple, une visite peut inclure plusieurs pages vues, événements, interactions sur les réseaux sociaux, variables personnalisées et transactions de commerce électronique. En savoir plus sur les différents types de requêtes Une visite peut s'apparenter à un conteneur incluant les actions effectuées par un visiteur sur votre site.

Un même visiteur peut ouvrir plusieurs visites. Campaigns & Traffic Sources - Processing Flow Reference - Google Analytics. Advanced Content Tracking with Google Analytics: Part 1. This is part 1 of a two part series on advanced content tracking.

Advanced Content Tracking with Google Analytics: Part 1

This post is about why you might want to use this technique and how to implement. The next post will cover the reporting and analysis. Do people actually read content? The default content tracking content in Google Analytics is fairly straight forward. Using the standard page tag you can get all sorts of information like time on page, bounce rate and pageviews. But sometimes this is not enough. I want more detailed information about each article. What would be better is a way to measure more detailed information about how website visitors interact with each page. So that’s what this post is all about: measuring how people interact with content using custom tracking. Some Thanks Before we begin, this blog post, technique and concept was born from collaboration. Advanced Content Tracking with Google Analytics: Part 2. This is part two of a two part series on advanced content tracking.

Advanced Content Tracking with Google Analytics: Part 2

This post is about the reporting and analysis of how people interact with content. As I mentioned in part one, this technique and concept was born from collaboration. There are a number of people that need to be recognized for contributing: Nick Mihailovski – Developer advocate at Google (and the guys that sits across from me)Thomas Baekdal – Smart guy and publisher of (you should subscribe)Avinash Kaushik – If you don’t know Avinash…Joost de Valk – Creator of the Google Analytics for WordPress plugin (you should use it)Eivind Savio – Blogger and GA consultant (read his stuff) Let’s look at some data. The Reports This tracking technique uses event tracking to track how people scroll through pages on a site.

Here’s the Content > Events > Top Events Report. Scroll Depth - A Google Analytics plugin for measuring page scrolling. Set up cross domain tracking - Analytics Help. Cross domain tracking makes it possible for Google Analytics to see sessions on two related sites (such as an ecommerce site and a separate shopping cart site) as a single session. This is sometimes called site linking. Using Google Tag Manager If you use Google Tag Manager to manage your Google Analytics tracking, follow the instructions in Cross Domain Tracking. Modifying the Google Analytics tracking code To set up cross domain tracking for multiple top-level domains, you need to modify the Google Analytics tracking code on each domain. Set up reporting views and add filters By default, Google Analytics only includes the page path and page name, not the domains name. /about/contactUs.html /about/contactUs.html /products/buy.html Because the domain names aren’t listed, it might be hard to tell which domain each page belongs to.

Follow this example to set up a view filter that displays domain names in your reports when you have cross domain tracking set up. Click Save to create the filter.