Our Google Analytics agency, a guarantee of excellence
- How to analyze the performance of your website?
- How to convert better?
- How to increase your sales?
- How to decrease your bounce rate?
- Deepen your knowledge of your customers’ behavior
- Analysis of your website’s performance
- Improve your business strategy
- Develop your online business
- Google Analytics is 85% of the world market
- There are 15 million sites using Google Analytics
- Google Analytics is the possibility to increase your turnover by 400%.
Optimize your Google Analytics account settings
Link with Google Ads
The association of your Google Analytics account with your Google Ads account allows you to bring up all the data recorded in Analytics to Google Ads and vice versa. Importing your website transaction targets from your Google Analytics account to your Google Ads account is now possible. This association is also necessary if you want to import remarketing audiences.
The e-commerce tracking evaluates the performance of your digital campaigns on your “online store”. You can observe the performance of your sales by product or by traffic source. It is an essential brick to identify your 20-80 over a given period thanks to the analysis of your key indicators (volume, turnover generated, etc.). The e-commerce tracking makes your business evolve on the internet.
The conversion funnel is a graphical and statistical representation of a user’s progress at each step of his customer journey, from the creation of the shopping cart to the final transaction: a purchase, a contact request or even the registration to a newsletter. This module allows you to detect when your user has left your site and then analyze the abandonment between the steps.
Google Analytics allows you to better understand who your visitors and buyers are on your site. To do this, it is important to create an audience. This audience can be defined according to certain criteria such as age, centers of interest, or simply according to the actions carried out on the site (visit with or without purchase, recurring purchase, etc.). From some of these criteria, it is possible to have Google keep the information of the corresponding visitors and set up remarketing campaigns adapted to this target.
Google Analytics in its standard version offers up to 5 variable values per page, per event or per e-commerce action. On its paid version, Analytics 360, it allows to go from 5 to 50. The variables allow you to edit personalized statistical dimensions. There are three levels of variables; The Visitor (allows you to track an attribute such as the customer number); The Visit (allows you to identify members/member names or a payment method) and The Page (allows you to analyze the consumption of the page content).
Google Analytics is a powerful lever for cost optimization. To measure the performance of a campaign in the cost analysis report, you have 5 essential metrics:
- the cost
- the cost per click (CPC)
- the revenue per click> (RPC)
- the return on investment (ROI)
- the margin.
By compiling all these costs, you have an ultra accurate and detailed cost analysis report.
The “site search” tab provides information about the site’s internal search engine. What does the user search for once on your site? The keywords typed are presented via a dashboard. This table is very useful to understand what the user is looking for and to enrich your referencing campaigns. This analysis is also important to know the impact of the search engine ergonomics via its filters on your conversion rate.
Event analytics collect data about your users’ interactions with your site. You can track this independently of a web page or screen load. Downloads, link click tracking, mobile ad clicks, button clicks like video plays, are all examples of actions to track as events.
The Benchmark comparative analysis allows you to know in quasi real time your traffic acquisition performance compared to your sector of activity and your competitors and if you generate as much paid and natural traffic as they do. To know the quality of your traffic compared to the market you have the possibility, on this Analytics table, to know the number of pages and sessions, the average duration of the sessions as well as the bounce rate.
An attribution model is a method of calculating conversion / revenue attribution. The basic model in Analytics is the last click. Concretely, this means that the sale is attributed to the last click to the website (SEO, Adwords, Display…). However, it is important to think in a broader way to understand the impact of a digital campaign. We call the conversion path all the clicks of the user towards the website. For example, searching for a generic term on Google and clicking on a sponsored link, then returning to the site via a click on a remarketing banner and finally making a purchase. In this case, Google Analytics attributes the sale to the last click, i.e. to the banner. However, without the first click on Adwords, the sale via the banner would not have taken place. It is therefore important to take into account different attribution models to understand the indirect profitability of your investments.
Google Analytics is essential to know the profile of users and make better decisions for your business. It offers a global view of the effectiveness of all actions taken.
Google Analytics allows you to understand and analyze the behavior of Internet users on the site. How does your target find your products or services? The tool is also essential to understand the performance of the different traffic acquisition levers: sea, seo, social networks, direct, newsletter… that lead to the site, the blog or the landing page.
In the blink of an eye, the tool allows you to identify the pages that attract traffic, those that convert, the leakage points, the geolocation of Internet users, the products put in the shopping cart, the most viewed services… All of which gives you the resources you need to optimize your digital marketing actions.
3 elements are essential to any digital strategy:
- data collection
- the analysis of the data
- understanding the data
Indeed, it is essential for your business to converge the data of your site with Google Analytics in order to measure your ROI. This allows you to make the right decisions regarding the implementation of your strategy. This is how you will stand out from your competitors.
- Data analysis
- Install and configure Google Analytics
- Mistakes not to make with Google Analytics
- Evaluate a website's performance
- A Google Analytics-certified agency
Having a website is great. Knowing how to use it and exploit its full potential is better. Tools exist to do this, but you still need to know what data to extract and analyze. Depending on whether the said site is an online store, a content site that generates leads – forms to be completed for example – or one that displays advertising, the relevant data are not the same. It is therefore necessary to sort out the essential indicators from the others. Different tools exist to collect this data. Among them, Google Analytics (GA), which allows to follow efficiently the performance of a site. To do this, it must first be associated with a CRM – Customer Relationship Management -, in other words, with a customer relationship management software, in order to be able to follow with precision the activity of Internet users on the site. Pour en savoir plus sur les moyens de mesurer le succès d’un site web.
No matter how much you invest to make a product or service known via the site that markets it, it will be of no effect if you are unable to distinguish what works from what does not. To be able to make this distinction, it is essential to be able to analyze the data collected, via Data Analytics tools. Thus, thanks to Google Analytics, you will be able to visualize which are the sources of traffic of your site. In other words, to see who brings you visitors. It is also possible to follow the sales and their process; to visualize the path of Internet users, to understand for example why they leave the site, on which page, at what time and for what reason. For example, if many people leave the site on the delivery page, it may be that the price to send a product is too high. This is valuable information that can help to make investments profitable and increase sales.
Launched in 2005 by Google, GA is the most widely used tool for observing, understanding and analyzing a website’s traffic sources, quantifying this traffic, visualizing the behavior of Internet users, the paths they follow, etc. It represents about 85% of the market for data analytics tools. To do this, more than one million servers are required. The potential of this software is considerable, provided you understand it and know how to use it. It’s not enough to get a few lines of code and then implement them on your own site so that all the information generated by surfing on the Internet suddenly appears clear and limpid. It is “a little” more complicated than that. Fortunately, there are specialists who can help you get it right, including Google Partner Premium certified agencies.
GA is a valuable web analysis tool. Once installed on a website and if it has been correctly configured – which is far from simple – it really sheds light on the traffic generated by the website. How many users visit it per day or per month, at what time of the day and week; how long do they spend on average and on which pages; what is the bounce rate and on which page(s) is it the highest; and by the way, is a high bounce rate necessarily negative? How do users arrive on the site, via which channel, do Google Ads campaigns bring more traffic than organic searches, which pages or products are the most popular or, on the contrary, those that attract the least traffic, etc. With GA, all these questions will be answered.
It sometimes happens that the traffic of a site suddenly drops. It can be a simple tracking code problem, which is quick to correct. It can also be the result of a very strong seasonality of the products sold – swimsuits, umbrellas -, in which case there is no need to worry. Otherwise, the drop may be the result of a problem on the site – duplicate content, infected pages, pages taking too long to load, etc. – which is sanctioned by Google. -, sanctioned by Google. It can also be the result of a change in Google’s algorithm or of the site’s switch to https. Competitors can also attack a site, pointing to it irrelevant links, causing a negative SEO for the victim site. The causes of a drop in traffic can be many and varied; it is therefore advisable to regularly monitor the traffic figures to take action if necessary. Because the longer the problems last, the less Google likes…
First of all, let’s remember that this is a completely free solution. However, it is essential to create an account on Gmail to be able to use it, as it is also the case for all the other services that Google offers. Then you have to create an account for the company/site that will use it. Once the registration form has been completed and the terms and conditions have been validated, it’s time to get serious. It is now time to retrieve the GA script, which will then have to be implemented on the site. Although simple, retrieving this code is not always easy, especially because of the richness of the interface, the abundance of features and information available. To avoid possible problems and unnecessary waste of time, it is preferable to entrust this task and the implementation of the code on the site to professionals, to a web agency in particular.
Once the tool is installed, you have to set it up to be of any use. Google Analytics will indeed collect a considerable amount of information about the traffic generated, the number of visits and unique visitors, their origin, their material, their location… This data will also concern the time that the users spent on the site, the pages they visited, the links they clicked on, the purchases they eventually made, the forms they filled in, the ebooks they downloaded, etc. Depending on the site and the business model, some of this data is more interesting than others. It is therefore essential to make the appropriate settings to have access to it. It can also be interesting to define destination, duration or event objectives, or even to establish “conversion tunnels”, thanks to which it is possible to follow very precisely the path of visitors on a site. Everything is possible, or almost, as long as you know the settings to be made.
Because it is rich, powerful and efficient, GA is able to provide its users with a considerable amount of information, from the most general to the most precise. To do this, it must be carefully configured, in particular to block unwanted traffic. An Internet site is indeed systematically visited by “intruders” and by robots of all kinds. They generate unwanted data which, when taken into account, alter the reliability of the figures and analyses provided. Fortunately, GA makes it possible to exclude such data via a number of filters, which are made available on the platform. Once these filters have been set up, the traffic from bots and other spammers will be excluded from the collected and analyzed data. The summaries provided by Google Analytics will therefore be much closer to the real performance of the analyzed website.
According to Google Analytics, a channel corresponds to a traffic source. To classify the data it retrieves and analyzes, it classifies these channels into groups, according to default models. GA thus groups the different flows into “Organic search” for traffic generated by searches made on search engines; into “Direct” to list Internet users who have directly entered the website url; into “Display” for traffic brought by a banner, for example, or into “Social Network”, to group together visitors who have arrived on the site via social networks Since they are by default, they often only partially meet the needs of each. Hence the interest, even the necessity, to create oneself – or preferably with the help and advice of specialists – one’s own personalized channel reports.
Complementary to GA, the Analytics E-Commerce script is specially designed for sites that sell products or services online. It is not integrated to the “classic” tool and must therefore be added. For a site developed via a CMS, such as PestaShop or Magento, or even via the WooCommerce module of WordPress, it is likely that this Analytics E-Commerce script is already integrated. If this is not the case, it is then necessary to integrate the script yourself, which we provide. Once this is done, you need to make a few adjustments, including the integration of certain values that are essential for the information relating to transactions – number of sales, price, shipping costs, date, etc. – to be correctly extracted. – are correctly extracted. Simple for those who are not afraid of a few lines of code, these manipulations may nevertheless require the intervention of specialists.
Which products have been sold on your site? Which ones are successful and which ones don’t seem to appeal to customers? To help you answer these two questions and more, GA has developed a new module called “Enhanced E-Commerce”. What exactly is it? In a nutshell, this module allows merchant site owners to better monitor their KPIs, the so-called key performance indicators. This new tool helps to understand and analyze the behavior of Internet users. Thus, it is now possible to know on which product a customer has clicked (click); which page of details of another product he consults (detail); which article he has added (add) or on the contrary removed (remove) from his cart; when he starts the ordering process (checkout), etc. These are all very useful indicators for, for example, developing effective conversion tunnels.
If, thanks to GA, we can learn a lot more about the traffic generated by a site, about the behavior of Internet users on that same site, about the profile of those Internet users, etc., we can also learn a lot about the products offered for sale on that site. With the “Product Performance” reports offered by GA, we have two options, two different ways of approaching this product aspect: the “summary” and the “buying behavior”. Clearly, the first one focuses on the sales history (turnover per product, different single products purchased, total products purchased, etc.). The second one focuses more on the steps prior to the purchase (consultation of the list of products, detailed consultations of a product, products added or removed from the cart… The “Product Performance” of Google Analytics allows to know more about the “life of the products”, which is essential for an ecommerce site.
However powerful and efficient it may be, GA does not track all the activity of a website. There is always a small proportion of traffic and events that escape it. It is estimated that 80% of orders placed on a website are recorded by Google Analytics. If a comparison between the actual sales and the figures provided by the tool shows a proportion of this order, it is normal. On the other hand, if this proportion is lower, or even significantly lower, it is likely that there is a problem in the settings. To remedy this, you must first find the origin of this problem. For example, the site may offer several confirmation pages, while the tracking script only follows one. The different payment methods available may also not send to the confirmation page(s) at the end of the sales, etc. The causes of these malfunctions can be diverse, as can the corrections to be made.
The CLV – for Custumer Life Value is an essential indicator in the context of B2B relationships. It allows to estimate
the revenue that a customer can normally bring to a company during the course of the relationship. Based on this estimate, it is possible to evaluate the profitability of operations and other marketing actions carried out by the company on behalf of the customer. With the CLV, a company can compare the respective “profitability” of each customer and thus identify which of them deserve to be privileged or not. It is important to keep in mind that finding new customers is essential, but so is retaining existing ones. The “Audience” report available on the GA interface gives access to the LTV and helps to better understand the real value of each customer.
Most advertisers choose to reward only the last click. This is an easy solution that not only does not take into account the contribution of the other links upstream of this last click, but also leaves in the dark a lot of important information about the path followed by a customer. However, other models are possible, such as the one that consists in attributing an equivalent share to each of these links. This is known as the linear model. Another option is the decreasing model, according to which the commission decreases as you move away from the last click. Google Analytics allows you to set up your own models, via conversion funnels, multi-channel conversion funnels or the attribution modeling tool. The expertise of an agency in terms of conversation paths can be of great help, especially if it is Google Partner Premium certified.
If everything went well during the installation of the Google Analytics script, the traffic information should be returned after about 24 hours. Unfortunately, this is not always the case, for several reasons. While GA retrieves, summarizes and presents the traffic data, it is Google Tag Manager that collects and processes this data before sending it to GA. Google Tag Manager’s filter settings may not have been properly set, which blocks the transmission of information. The malfunction may also be due to a bad installation of the Google Analytics script. Indeed, even if you take the greatest care, it can happen that you do not place it in the right place, that you implant the code of another account if you have several sites, or that you alter the code by using a word processing software that adds spaces, transforms quotation marks, etc. In this case, it is no longer possible for the script to work properly. In which case it is not the same code at all…
GA makes it possible to know everything, or almost everything, about what is happening on a website, in terms of traffic, Internet user behavior, searches, product purchases, etc. However, without even getting into the question of the precise settings that can and should be made to this tool, there are a number of mistakes that should be avoided. The first is not to implement the GA script correctly. No data will be collected. The second is to make a mistake in the company’s filters, in which case all visits to the site, including those of company members, will be counted. For a small company with three employees, this is not too serious; for a multinational, it is more serious. It is this same logic that makes it essential to filter the robots, which visit all the online sites every day… And then there are also the mistakes that consist in defining the wrong objectives, not associating different modules, etc.
KPIs, for Key Performance Indicators, are key data that allow you to obtain a global vision of the health of a website, but also very precise. Thanks to these indicators, we can know how many people visit the site, distinguish between new and regular visitors, know how they arrived, how long they stayed, how many pages they consulted, which ones they preferred, etc. These KPIs also provide valuable information about the success or failure of a marketing operation, via the information transmitted in real time, about the conversion rate or the devices used by Internet users to visit the site. They also allow, via the information transmitted live, to observe the possible fallout of a marketing operation. In short, these are essential elements to distinguish what works or does not work on a site, what can or must be improved.
What is the bounce rate? It is a percentage that summarizes the proportion of Internet users who, once they have arrived on a site, leave it immediately. The higher this rate is, the less a site manages to retain its visitors. This is not a good sign. However, a site can immediately provide the required information and, in this sense, satisfy the visitors, who certainly do not stay long, but often come back. For some sites, on the other hand, it is necessary that visitors stay a minimum of time, to buy for example. So there is not one rate, but several bounce rates, and the “right” levels depend primarily on the different types of sites. However, other parameters come into play to explain good or bad bounce rates: navigation comfort, long loading time, content organization, etc. In these cases, it is possible to make corrections.
Google Analytics is magic! Just install a piece of code and “everything you always wanted to know about the secret life of your site” is finally revealed. Not so simple unfortunately. If GA is an extremely powerful analysis tool, capable of providing a lot of essential information, you have to understand it and know how to talk to it. It is not enough to start a car to take advantage of its full potential. You have to know how to drive it, which sometimes involves a long learning curve. If you don’t have the time, you can take your bike, public transport, cab… To use GA properly, you also need to learn how to use it, which requires two things: time, again, and technical skills. Using the services of an agency, especially if it is certified Google Partner Premium, allows you to do without the former and to have the latter. But also advice, assistance and many other things.