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Bulk Upload Google Analytics Client IDs to Simla.com From a Google Sheet

2026-05-15
5 min read

The Scenario

You've spent two weeks building a BigQuery pipeline that joins GA4 session data to Simla order IDs. The output is a clean Google Sheet: 500 rows, order ID in column A, GA client ID in column B. Now you need to push those mappings into Simla so the customer journey attribution works inside the CRM — and then you can actually see which traffic sources are generating repeat customers, not just first orders.

You built the hard part. The last step is a bulk upload, and there's no obvious path to do it in Simla's UI.

The bad version:

  • Check whether Simla has a UI for importing web analytics client ID mappings. Find that it doesn't — this is an API operation.
  • Look up Simla's API documentation for web analytics client ID uploads. Spend an hour figuring out the correct endpoint and request structure.
  • Write or adapt a script, test it on 10 rows, debug three authentication errors, run it on the full 500, and discover midway through that row 247 is failing because the GA client ID format you exported includes a trailing dot.

You built an analytics pipeline. You shouldn't also need to build an import script.

The Easy Way: One Prompt in SheetXAI

SheetXAI is an AI agent inside Google Sheets. It reads your mapping sheet and pushes the GA client ID for each order into Simla's web analytics records via the API — no script required.

Upload all rows from my GA Client IDs sheet into Simla using the order ID in column A and GA client ID in column B — process all rows at once.

What You Get

  • All 500 GA client ID mappings uploaded to Simla against the correct order records
  • Failed rows flagged with the reason — order ID not found, malformed client ID, API error
  • A success count so you can confirm the full 500 landed before testing the attribution data in Simla's reporting
  • No custom script, no authentication debugging

What If the Data Is Not Quite Ready

GA client IDs have trailing dots from the BigQuery export format

Trim trailing dots and leading/trailing whitespace from all values in column B, then upload all rows to Simla using order ID in column A and the cleaned client ID in column B.

Some order IDs in the sheet are external IDs, not Simla's internal order IDs

For each row, look up the Simla internal order ID using the external ID in column A, then upload the GA client ID in column B against the resolved internal order ID — flag rows where the external ID has no match.

Multiple GA client IDs exist for the same order — last-touch attribution

If the same order ID appears more than once with different GA client IDs, keep the last one chronologically.

Deduplicate rows by order ID in column A, keeping the last occurrence (highest row number), then upload the deduplicated GA client ID mappings to Simla.

Trim, deduplicate, ID resolution, and upload in one ask

Trim trailing dots from GA client IDs in column B, deduplicate by order ID keeping the last row, resolve external order IDs to Simla internal IDs, then upload all valid mappings and flag failures in column C.

One prompt. The attribution pipeline is complete end to end.

Try It

Get the 7-day free trial of SheetXAI and open your GA client ID mapping spreadsheet built from your BigQuery export. See Bulk Upload UTM Attribution for campaign-level attribution, or the full Simla.com hub for all analytics integration workflows.

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