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Pivot table from raw data

Turn this raw sales export into a pivot table of revenue by region and month. Use the grouped result to review revenue by region and month.

Early access opens shortly. Check back soon.

Someone typed

“turn this raw sales export into a pivot table of revenue by region and month”

The agent read it as

Turn this Raw sales export into a pivot table of revenue by region and month.

What the agent built

1 step, each one an ordinary Mammoth step you can open and change.

  1. File
    Raw sales export
    CSV export · 24 rows
  2. Step
    Total revenue by region and month
    Step 1
  3. Result
    Regional Monthly Revenue
    17 rows
  4. Schedule
    Runs when you say
    Proposed

Checked on the sample files: every step ran, 17 rows came out.

What you get back

The result of that run, the rows to look at first.

Regional Monthly RevenueSample data17 rows
RegionMonthRevenue
Central2026-09-01640
Central2026-10-011,910
Central2026-11-01705
East2026-09-01760
East2026-10-012,700
East2026-11-01940
International2026-10-011,450
International2026-11-011,710
North2026-09-011,010
North2026-10-01995
North2026-11-011,795
South2026-09-011,250
17 rows in the result · 12 shown, problems first. Sample data: illustrative figures, not business results.

How do you turn this raw sales export into a pivot table of revenue by region and month?

Upload the Google Sheets export of your raw sales data. Mammoth groups the rows and totals revenue by region and month, then returns a pivot table you can review and export.

How it works

How to use the Regional Monthly Revenue workflow

  1. 1Get early accessWe invite people in small batches, job by job. You'll land on this workflow, already built and checked on the sample files.
  2. 2Swap in your exportsUpload your own files as they come out of your tools. The agent checks the workflow on your rows.
  3. 3Change it in words, then turn it onSay what to change and see the new result before anything saves. Then choose when it runs.

Regional Monthly Revenue: questions

What export should you use?
Use a file exported from Google Sheets that has the raw sales rows you want to summarise. The file should include the columns needed for region, month, and revenue.
What happens to rows that do not match the rules?
Rows that do not fit the grouping rules are left out of the pivot result or stay unchanged, depending on the workflow step. You can review those rows separately and adjust the rules if needed.
How do you change the rules?
Edit the step in plain words, for example, change the grouping fields or the measure you want to total. Then run the workflow again on the same exported file.

Get early access to this workflow

It will open already built and checked on the sample files. Swap in your own exports and see your result.

Early access opens shortly. Check back soon.

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