Less manual data entry
A prepared file can save the team from retyping an existing list one customer at a time. The time saved is most valuable when the source information is clean enough to support useful work.
Customer management · CSV import
Move an existing customer list into SAYLS through the CSV import workflow. Prepare the supported columns, use your workspace's reference values and review the result before the list becomes part of daily customer work.
7-day platform trial · No credit card required
Sample CSV columns
Import a prepared CSV and review the created contacts.
The task behind the feature
A spreadsheet is only helpful if its data lands correctly.
Different phone formats, missing fields and unclear categories can make a promising contact list difficult to use. Importing everything without review simply moves the problem into a new tool. A structured import gives your team a chance to clean the information, confirm its purpose and create records colleagues can actually understand.
See how the pieces fitOne practical way to use it
Download the sample and read the column rules. Keep phone numbers as text so spreadsheet software does not change them, include the required contact type and remove rows you do not have a reason to retain.
Use the relevant status, source, group and staff identifiers shown by the import workflow. Check the values against your CRM before upload so contacts are not assigned to the wrong category or person.
Upload the file and inspect the import result and logs. Correct rejected data rather than assuming every row succeeded, and check a small sample of created records before using the list for other workflows.
Review identifiers, number formatting and the import result before uploading a larger file.
Why this is useful in practice
A prepared file can save the team from retyping an existing list one customer at a time. The time saved is most valuable when the source information is clean enough to support useful work.
Explicit field rules help you spot problems early. Checking type, phone and reference values before import reduces the confusion that happens when malformed data reaches a customer-facing process.
Imported contacts can become part of the same records and segmentation process as new enquiries. Keep consent evidence and relevance separate from the mere fact that a row was successfully uploaded.
Choose a useful starting point
Your first useful workflow
Import a prepared CSV and review the created contacts. Start with one small, checked CSV file and review the result before choosing a plan.
Understand the setup, the costs and the next step before you decide.
No. The file creates contact data; it does not establish permission to market. Keep appropriate evidence of consent and follow the rules for each customer and message purpose.
Spreadsheet software can remove leading characters or convert long numbers into scientific notation. Keeping the column as text helps preserve the intended number before the CRM validates and normalises it.
No. Imports remain subject to validation, available CRM capacity and the plan's contact allowance. Review the current plan comparison before bringing in a list larger than your workspace can hold.