Upload your contacts
Add your user-base into EcoSend in seconds via our CSV Importer.
Uploading your entire user-base into EcoSend 'Contacts' couldn't be easier.
Once uploaded, profiles will be automatically enriched with social media data, giving you deeper insights into who your users are.
You can also use EcoSend's filters to intelligently segment your users into Smart Groups according to profile
characteristics such as Company size, and user behaviour such as number of Visits.
Intelligent segmentation allows you to accurately monitor and report on the health and engagement of your
user-base with your product or service.
Import your Contacts 👤
To get started with populating the GoSquared ‘Contacts’ section, you can export a CSV file from your existing data source and upload it directly in seconds.
The rows will populate into user profiles according to email address, and columns will populate both user-profile properties as well as create searchable filters for you to build your Smart Group.
Many tools will have an option to export your data as a CSV. If not you'll need to create a spreadsheet and save it as a CSV file.
Each row in the CSV must contain a user's email address. Extra properties associated with that user should be in the same row.
The column headers in the CSV should be labelled with the name of each of the properties that you want to track.Head to Contacts > Import Contacts to upload your first file.
Importing with Custom Properties 🔖
You can also import custom property and event data into GoSquared, simply by adding an additional column in your CSV file.
Your custom data will then automatically become a searchable filter within People. Any users associated to the property in your upload will also be associated to it in your Contacts section.
The column headers in the CSV should be labelled with the name of each of the custom properties that you want to upload.
Changing Property Data Types 🛠️
The 'type' of data that each property is affects the filtering options that are available in Contacts.
The first time you track a custom property we will automatically classify the data as one of four types:
Boolean (true or false – represented as 'yes' or 'no')