Romain Rissoan

romain rissoan consultant formateur social learning

I am a Webanalytics Training Consultant, Qualiopi bilingual English with extensive experience in training and leading teams to success. My specialty is helping companies understand the data that drives their online presence, and working with them to create strategies for optimizing website performance. My skills include setting up comprehensive tracking systems, analyzing user behavior, and interpreting data to identify opportunities for improvement. As a Webanalytics Training Consultant, I have successfully designed and delivered web analytics training programs tailored to the specific needs of my clients. My approach is collaborative and results-driven, delivering powerful insights that help teams make informed decisions to achieve business objectives. I understand the importance of a data-driven approach and believe it should play an important role in any successful training initiative.

I have extensive experience using a variety of analytics tools, including Google Analytics and Adobe Analytics. I’m adept at understanding complex data models and helping teams distill the essential insights that can help them make better decisions. My passion is helping organizations understand how effective web analytics can accelerate their business performance. I’m currently looking for an opportunity to share my expertise with motivated teams and organizations. If you’re in need of a web analytics consultant, trainer or mentor, please don’t hesitate to contact me. I’d be delighted to discuss how I can help you make data-driven decisions to improve your online presence. Thank you for your time!

My Webanalytics Trainer content

Webanalytics in two words

According to the definition of the web analytics association, the field of web analytics covers “the measurement, collection, analysis and reporting of Internet data to understand and optimize web usage”. Web analytics should therefore be seen as going beyond “classic” website traffic statistics, to include social networks and the site’s environment (off-site data).

When it comes to web analytics, the first essential step is to choose a traffic tracking tool that will collect data about your visitors. There’s no shortage of tools. Google Analytics is undoubtedly the most famous, but also the most popular. It’s also the one that offers the most features and the most customization possibilities for… zero euros! A free traffic tracking tool, that’s great. That’s great news indeed, but it doesn’t mean that web analytics doesn’t require a budget. Google Analytics is a tool, but you still need to know how to use it. You need to be able to extract useful information for your business.

It’s important to have the support you need to use the data collected via your web analytics tool. Compiling data without using it or deriving action plans from it is a real mistake today. Data is a gold mine, so it’s time to go out and get the information you need. Whether you’re looking for advanced configuration of your web analytics tool or the creation of customized dashboards, you need professional support.

By default, Google Analytics collects the main metrics used to measure Internet audiences: sessions (ex-visits), average duration, bounce rate, conversions, conversion rate, e-commerce data, etc. It offers all the functions that are essential for any web analyst: segmentation, filtering, data export, display customization, etc. Google Analytics integrates easily with the other services offered by Mountain View: Search Console, Adwords, Doubleclick… All free of charge…

Google Analytics Premium (with an annual subscription fee of $100,000) takes you to the next level: more reliable data thanks to higher sampling thresholds, access to user support, higher data retrieval quota via API. The Google Analytics Premium Suite provides access to a range of 7 powerful tools: DMP, Tag management, Google Analytics, data-visualization solution…

In order to save bandwidth, the free version of Google Analytics uses data sampling, i.e. it calculates certain metrics and dimensions from the extrapolation of a subset of data. The systematic use of data sampling for sites with large audiences, or when using segments, raises many questions about the reliability of the data.

Mais ce problème reste mineur par rapport aux questions de la propriété et la confidentialité des données. Les conditions d’utilisation de Google lui permettent en effet d’accéder à vos données et de les exploiter à titre commercial. On peut donc comprendre la réticence de certains annonceurs dépensant des fortunes sur la régie Adwords ou évoluant dans des secteurs sensibles ou très concurrentiels.

Webanalytics training content

Getting started with Google Analytics

Navigating the analysis Manage and configure your Google Analytics account Hierarchy of accounts, users, properties and views Configuration (Web) / Settings (Mobile application) / Universal Analytics (UA)

Monitor account health and performance: Audience/Advertisements/Acquisition report/Comportement/Conversion/Mobile app/Browser view report

Remarketing and audience targeting: remarketing lists / dynamic remarketing with Google Analytics / remarketing integration with DoubleClick Bid Manager / audience management

Data management: Data import / Reporting tools

Diagnostics and troubleshooting / URL creation tools / Demo accounts Google Tag Manager : Tags, rules & macros / Tag configuration guide Tag management and publication / Multi-tag management (outside Google) Google Analytics API : How the API/application works Google Data Studio: Connector to retrieve data/Generate reports via Google Data Studio/Manage, share and export data

My Webanalytics Trainer FAQ

Web analytics tools are software programs that collect, analyze and report on data relating to the activity of Internet users on a website. They provide valuable information on visitor behavior, enabling publishers to better target their content and offer to improve user experience and site performance.

Web analytics tools allow you to monitor how users interact with a site. This data can be collected via cookies, page titles and other methods. The data collected can then be analyzed to determine how users navigate the site and which parts of the site are most popular. This enables you to identify problems in a website’s design and make any necessary changes. It also provides a baseline for future improvements, so you know where to concentrate your efforts. Analyzing this data provides you with a wealth of information that you can use to improve your web presence. For example, you can use it to determine which pages are the most popular on your site. You can also use it to discover which areas of your site are receiving the least traffic. This allows you to make the necessary changes to your site without having to contact support. It also enables you to better direct your marketing efforts by choosing the content that attracts the most attention on your site. However, not everyone is a fan of analysis tools. Some people think that using these tools is an invasion of user privacy and can be annoying for users. Some even think it’s an invasion of their computer’s RAM space! What’s more, some websites use hidden cookies to collect personal information from users without their consent. The use of these tools can be very intrusive if not properly managed.

There are various ways of integrating webanalytics tools into a website. The most common is to add Javascript code to each page of the site, so that the script can collect the necessary data. It is also possible to use plug-ins or add-ons for certain CMS to simplify webanalytics integration. Finally, there are solutions hosted by external service providers, which provide a web interface for viewing the data collected. These solutions are generally not free of charge, but offer simpler and faster integration.

By making changes based on the data collected by web analytics, companies can also see what changes their customers prefer. or dislike. This enables companies to adjust their service to better meet their customers’ needs and expectations. For example, if many people like to look at car parts in a particular category, but rarely buy anything there, the company can modify the advertising in that area to make it easier for people to find what they want. On the other hand, if many people don’t like an area of the site but others do, the company can remove that area to make it easier for everyone to use the site. While web analytics can be useful, there are a few drawbacks to using them in day-to-day business practices. For one thing, implementing web analytics in a business can be costly and time-consuming, depending on the scale of the company’s online presence. Another drawback is that some people don’t like being tracked online and may avoid visiting sites with built-in web analytics. While others appreciate having this information readily available and being able to use it to make better decisions about their purchases or products.

Web analytics can be coupled with CRM (Customer Relationship Management) to collect more precise data on site visitors and analyze their behavior over time. This enables publishers to better target their audience and offer, and improve the site’s user experience. It also enables marketing and sales teams to better understand the needs of customers and prospects, and adapt their strategy accordingly.

Coupling web analytics with your CRM system offers a more precise view of user behavior. To do this, you need to collect two types of data from your users: first-party data and third-party data. First-party data refers to data collected from visitors to your website, such as their IP address, browser type and page view history. Third-party data refers to data collected on websites other than yours, such as Google Analytics, AdWords and Facebook. These two data sources enable you to measure the effectiveness of your marketing campaigns, understand how users behave online compared to offline, and identify new trends in the behavior of your user base. All this information can help you create the most effective marketing campaigns possible, and keep your customers happy. Collecting this data also makes it easier to target the right messages to the right customers at the right time. For example, you can use web analytics to determine which parts of your website are most popular with customers, then send them targeted ads for those pages. You can also use web analytics to see which parts of the website are most visited, then send them targeted e-mails instead of sending them all at once. This frees up time and resources for other parts of your business, while providing a high level of service.

It is possible to automate the use of data collected by webanalytics tools, to save time and improve the accuracy of analyses. To this end, a range of software and tools are available to collect the necessary data and analyze it automatically. These solutions are generally not free of charge, but can be integrated quickly and easily. The data collected by webanalytics tools is very important for the smooth running of a website. They enable publishers to better target their content and offer, to improve the site’s user experience.

Automatic data extraction is more efficient than manual data extraction because it requires less human effort. Instead of manually extracting data, you simply program a computer to do it for you. This frees up valuable time that can be used elsewhere. What’s more, automated systems are more reliable than human-run systems; they will extract data even if the person performing the extraction isn’t paying attention. These advantages make an automated system a good investment for any website. Analytics automatically exports data so that users can quickly find patterns and identify problems without much manual effort. For example, it’s possible to automatically detect failures on your website and send you an e-mail with details of the problem. This makes it much easier to find and solve problems quickly and efficiently. It also makes it easier to compare your results with other websites, so you can improve your SEO results. This saves time and money, making it easier to run your business efficiently. Automation allows you to use data while it’s still relevant or up-to-date. For example, if someone visits the site but doesn’t buy anything, their visit isn’t wasted. Instead, you can use their visit to gather more information about their needs so you can sell them what they want. This allows you to make more informed decisions about what products or services to provide. It also means you don’t have to waste time collecting data that is no longer useful.

Web analytics help companies understand how users interact with their websites. The results of this analysis can help companies make informed decisions about how to improve their online experience. For example, analytics can show that users tend to browse certain pages at certain times. This information can help companies plan maintenance so as not to be overloaded during peak hours. It can also inform them when to release new features to coincide with popular user periods. Knowing these details helps companies create an optimal online experience for their users.

Web analytics is also useful for measuring traffic patterns and search trends. This information can be used to inform business decisions such as what advertising to focus on or what products to offer. They can also be used to inform marketing campaigns and help brands better connect with potential customers. By identifying trends, companies can use this information to make informed decisions that improve their overall performance. In addition, web analytics tools can also be used to assess current performance and make any necessary improvements. For example, a website’s bounce rate may indicate that users are not satisfied with the way a website is currently performing. A bounce rate is the percentage of visits that do not result in a user viewing a web page or making a purchase. By identifying such problems, companies can use this information to improve their online experience and better serve their customers.
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