The Scenario
You're the marketing analyst who owns channel attribution for the e-commerce team. You've pulled 1,000 rows of session data from your analytics export — customer ID, visit timestamp, traffic source, and medium — and they need to go into Simla as web analytics visit records so the platform can surface channel-level customer journey data in its reporting. You've already uploaded the UTM data. This is the session layer.
The data is clean-ish. The timestamp format is probably going to be a problem.
The bad version:
- Look for a way to import visit records in Simla's UI. Find that there's no UI for this — it's API-only.
- Pull up Simla's API docs. Find the web analytics visit creation endpoint. Figure out the expected timestamp format. Write a script. Debug it on 10 rows. Discover your analytics export gives timestamps in Unix epoch format and Simla expects ISO 8601.
- Convert the timestamp column in the sheet, re-run the script, discover 30 rows fail because the traffic source values from your analytics tool don't match the source names Simla recognizes.
You have the data. You shouldn't also need to become an API engineer to load it.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside Google Sheets. It reads your session data spreadsheet and pushes each row into Simla as a web analytics visit record — handling timestamp format normalization and source value validation in the ask.
Batch-upload all visit records from this sheet into Simla using customer external ID in column A, visit timestamp in column B, traffic source in column C, and medium in column D.
What You Get
- All 1,000 visit records created in Simla as web analytics visits
- Failed rows flagged with the reason — customer ID not found, invalid timestamp, unrecognized source value
- A success count to confirm completeness before checking attribution data in Simla's reporting
- No script required, no timestamp conversion by hand
What If the Data Is Not Quite Ready
Timestamps are in Unix epoch format, not ISO 8601
Convert all timestamp values in column B from Unix epoch to ISO 8601 format (YYYY-MM-DDTHH:MM:SS), then batch-upload all rows to Simla as web analytics visits using the converted timestamp and the customer ID, source, and medium columns.
Traffic source values from the analytics tool don't match Simla's expected source names
If your export uses "google / organic" as a source but Simla expects "google," normalize before uploading.
Normalize traffic source values in column C — extract only the source name before any slash — then upload all rows to Simla using customer external ID in column A, converted timestamp in column B, normalized source in column C, and medium in column D.
Customer external IDs in the sheet don't match Simla's customer records
For each row, validate that the customer external ID in column A exists in Simla before uploading — flag rows where no match is found as "CUSTOMER NOT FOUND" and upload only the rows that resolve.
Timestamp conversion, source normalization, customer validation, and upload in one ask
Convert timestamps from Unix epoch to ISO 8601, normalize source values to extract the source name before any slash, validate that each customer external ID exists in Simla, then upload all valid rows as web analytics visits and flag failures in column E.
One prompt. The session layer is in Simla and the attribution picture is complete.
Try It
Get the 7-day free trial of SheetXAI and open your analytics session export spreadsheet, then ask it to push the visit records into Simla. See Bulk Upload UTM Attribution for campaign-level data, or the full Simla.com hub for all analytics integration workflows.