Accueil<\/a><\/span><\/span><\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t <\/p>\n\n \u00a0<\/p>\n<\/div>\n <\/p>\n<\/div>\n<\/div>\n <\/p>\n\n\n <\/p>\n <\/p>\n<\/div>\n<\/div>\n <\/p>\n\n\n The use of e-commerce has been on the increase for several years now. The francenum.gouv.fr statistics<\/a>\u00a0confirm the increasing adoption of this mode of consumption. UNCTAD (United Nations Trade & Development) also offers some figures on online commerce (in particular, a 60% growth in sales since 2016): https:\/\/unctad.org\/publication\/digital-economy-report-2024<\/a> [EN]\u00a0<\/p>\n This leads to ever greater consumption of resources in order to satisfy our demands as e-consumers. The environmental impact of the \u2018physical\u2019 side of the equation (product manufacture, delivery, returns, etc.) is increasingly well documented. As early as 2020, we wanted to look at the impact of the digital services we use. At the time, Greenspector was already proposing e-commerce articles<\/a> and its environmental impacts<\/a>. More recently, we have been looking at mobile applications used to make online purchases<\/a> (from 2022<\/a>).<\/p>\n Datareportal provides some interesting statistics on this subject<\/a> for 2024 :<\/p>\n<\/div>\n\n This year we decided to take a closer look at websites, as they are used on all types of device. This has made it easier for us to measure journeys that are more representative of those of e-consumers. To do this, we start with a classification of these sites, then measure them, assess their environmental impact and try to propose a more global vision of areas for improvement.<\/p>\n We took advantage of the sales period, which sees an increase in purchases but also, very often, an increase in the number of elements on websites (banners, etc.) aimed at attracting the attention of e-consumers.<\/p>\n \u00a0<\/p>\n For a broader perspective on online shopping, I recommend Laurence Roger’s article: https:\/\/les-enovateurs.com\/acheter-en-ligne-ou-boutique-pas-exactement-pareil<\/a>\u00a0\u00a0<\/p>\n<\/div>\n<\/div>\n <\/p>\n\n<\/div>\n<\/div>\n <\/p>\n <\/p>\n The list of the main e-commerce sites, ranked by traffic in France in 2024, is as follows : https:\/\/www.observatoire-ecn.fr\/demo\/listing<\/a> \u00a0<\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n The sites are ranked from least to most impacting (in terms of greenhouse gas emissions):<\/p>\n <\/p>\n Ranking of the 20 e-commerce sites with the lowest greenhouse gas emissions<\/p>\n In the end, the ranking for all the sites measured was as follows:<\/p>\n<\/figure>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n The measurements were carried out on a Samsung Galaxy S10 smartphone running Android 12.<\/p>\n Initially, the measurements were carried out using a simple benchmark (loading, scrolling and pausing on each page). The sites selected turned out to be complex and the default path not very representative of user behaviour. We therefore decided to opt for more precise measurements using a user path that was representative of what most customers do. This was done using the Greenspector Studio SaaS solution, by automating and measuring a standard user path :<\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n Each measurement is the average of 3 homogeneous measurements (with a low standard deviation). For each iteration, the cache is emptied beforehand. It is then kept during the same iteration (which makes it possible to evaluate what is kept in cache for the passage on a product sheet).<\/p>\n Various assumptions have been made for the environmental projection. The aim here is to simplify the calculations, even if the choices made do not apply to all the sites studied :<\/p>\n <\/p>\n <\/p>\n <\/p>\n Breakdown of user terminals (source : https:\/\/datareportal.com\/reports\/digital-2024-france<\/a> [EN]) :\u00a0\u00a0\u00a0\u00a0<\/p>\n <\/p>\n
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Impacts of the mains e-commerce sites in France<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\n\t\t\t\t\t\n\t\t\n\t\t\t\t\t\n\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\n
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Lists of recognised sites<\/h2>\n
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Ranking obtained<\/h2>\n
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\nMethodology<\/h2>\n
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Blog
Impacts of the mains e-commerce sites in France
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