As part of digital activities of companies, sales and marketing data may be relevant to be analyzed in order to assess your carbon impacts in all your digital activities.
E-commerce data for IT analysis
As part of digital activities of companies, e-commerce data may be relevant to analyze in order to assess your carbon impacts.
Here are some key data that we are interested in order to quantify your e-commerce website activity :
Number of transactions during the study period
Number of visitors during the study period (traffic on-site)
Differentiate the visitors per type of used device
Mobile
Table
Desktop
Laptop
Geographical distribution of your visitors per country
Viewed webpages per visit
+ type of the viewed webpage
+ number of viewed webpages per visit
Average visit duration
Description of your most important user pathways on your website
Purchase of 1 main item + 3 accessories, from the home page
Purchase of 3 random items, directly from external link
etc
Amount of stored data in your own datacenters or cloud providers datacenters
Amount of transferred data for our e-commerce service
continuous refresh of the database
transactions processing
products delivery tracking
...
NFT analysis
As part of our expertise work and state-of-the-art, we try as much as possible to work on the carbon impact assessment of the latest technologies, such as NFT (Non Tangible Token).
Given Greenly is still new to this area of expertise, the precision of data to collect may vary, but here are the key data we may be interested in :
Platform of creation (for most of NFT : Ethereum)
Type of NFT :
Grafic art
GIF
Video
Virtual avatar or video game skin
Music
etc
Number of created NFT for your company's usages
Number of sold NFTs (to your clients / users)
Average Blockchain size of your different NFT
Digital marketing data for IT analysis
Online advertising comes with a massive amount of data. You can track the performance of your campaigns in real-time, for example. In addition, you can learn about the demographics, interests, and habits of the people viewing and interacting with your ads... All those functionalities and data volumes come with a carbon impact price, which we are able to assess at Greenly.
Here are key indications for you to follow in order to collect your data, so we can carry out your Ads analysis.
All your data must be differentiated regarding the considered channel :
social networks : Facebook, LinkedIn, Instagram, Snapchat...
TV channels : TF1, BFM TV, BBC, RMC...
etc...
You must also identify the type of support used :
Text
Image
Videos
TV commercials
For each support type, you must describe all its characteristics :
Number of supports stored / transferred during the study period
example : number of impressions for each support type on Facebook during 2021
Average weight per support (MB)
For videos : average duration of the video (seconds) + average video weight (MB/second) (If this data is not available, we will use hypothesis based on average data)