How Google Sheets reporting works
The spreadsheet stops being a place you paste exports into and becomes a place data arrives on its own. An add-on or a script connects to an advertising or analytics account, you specify the metrics, dimensions and date range, and the results are written into a sheet on a schedule. Everything downstream — formulas, pivot tables, charts, conditional formatting — then works off that sheet as if you had typed the numbers yourself.
The usual structure keeps the two jobs apart. One tab holds the raw pull and is never edited by hand, because the next refresh will overwrite it. Other tabs reference that raw tab and do the work: calculations, targets, commentary, the view the client actually sees. Break that separation and a refresh will silently destroy someone’s manual edits.
Why Google Sheets reporting matters
A spreadsheet does things a dashboard tool is bad at. It handles data that exists nowhere else — the offline sale, the phone enquiry, the deal a client confirms by message — and it lets you write next to a number. Half of reporting is explaining what happened and what you intend to do about it, and a cell of plain text does that better than a chart.
It is also the tool everyone already has. A client who will not open a new reporting product will open a spreadsheet, and in Nepal, where a lot of small-business record keeping already lives in sheets, this is often the shortest route to a report that actually gets read.
Where Google Sheets reporting goes wrong
Manual edits inside a refreshed range are the classic failure: a note typed into the raw tab disappears at the next pull, or worse, shifts a column and quietly breaks every formula pointing at it.
The second is size. Pulls with a lot of detail produce very large sheets, formulas over them slow down badly, and the file becomes something people avoid opening. Detail belongs in a warehouse, not in a spreadsheet.
The third is sharing. A sheet is easy to share too widely, easy to copy, and easy to leave accessible to a person or agency long after they have gone. Anything containing enquiry names, phone numbers or email addresses needs deliberate access control rather than a link passed around.
How to act on it
Decide what the spreadsheet is for before building it. If the report is charts a client reads once a month, a dashboard serves better. Choose sheets where you need to combine platform data with something only you hold, or where the value is in the commentary.
Then build it defensively: one untouched raw tab per source, everything else by reference, protected ranges on the pulls, a visible last-refresh timestamp, and a check that reconciles the pulled totals against each platform. Review who has access at least as often as you review the numbers, and if you find yourself rebuilding the same sheet for every client, that is the point to move the work into a proper reporting automation setup.