Exporting to Excel
Export to Excel sits at the right-hand end of the filter row on the quote list. One click downloads a spreadsheet. Anyone signed in can use it, admin or rep.
It exports what is on screen
Section titled “It exports what is on screen”The export reads the same filter the table is showing. Search for “whit” and filter to Contacted, and the spreadsheet contains those rows and nothing else. Clear both, and you get everything.
This is worth being deliberate about in both directions. Exporting your whole pipeline when you meant to export one status is how a spreadsheet full of customer contact details ends up in the wrong inbox. Equally, if a colleague sends you a filtered link and you export from it, you are exporting their view, not yours.
If you want everything, check that the search box is empty and the dropdown says All statuses before you click.
What you get
Section titled “What you get”A genuine .xlsx file, not a CSV wearing the wrong extension. One worksheet
called Quotes, with a bold header row frozen at the top so it stays put as
you scroll.
| Column | Contents |
|---|---|
| Name | The customer’s name |
| Phone | As they gave it, or blank |
| Always present | |
| Location | Town and postcode |
| Received | Date and time the enquiry was submitted |
| System size (kWp) | From their estimate |
| Install cost | With your currency in the column heading |
| Annual saving | With your currency in the column heading |
| Payback (years) | To one decimal, blank where the system never pays back |
| Status | Your own label, as you have named it |
| Source | “Callback” or “Proposal” |
| Latest comment | The most recent note only |
Two things are not in there. Latest comment is the newest note and nothing else, so a lead with eleven notes exports one line of text. And nothing else on the lead comes with it: no message history, no documents, no quote versions, no roof.
The numbers are numbers
Section titled “The numbers are numbers”Money and dates go into the file as real numbers and real dates, with cell formats applied, rather than as text that looks like them.
That distinction is the whole reason this is an .xlsx rather than a CSV. You can sum the install cost column, sort by the date received, pivot by status, or chart the lot, without first cleaning up a column of strings with pound signs in them. The currency sits in the column heading rather than in every cell, which is what keeps the cells arithmetic.
Payback is left genuinely empty where the system never pays for itself, rather than filled with a placeholder that would drag an average down.
The totals row
Section titled “The totals row”The last row is bold. Its first cell reads the number of quotes exported, and
under Install cost and Annual saving it carries live SUM formulas
rather than pasted values.
Live formulas mean the totals stay honest if you edit the sheet. Delete the three leads you have already dealt with and the totals recalculate. Nothing else in the row is summed, because a total system size or a total payback would be a meaningless number wearing a bold font.
The filename
Section titled “The filename”The file is named after your company, then the word quotes, then today’s date:
something like meridian-solar-quotes-2026-09-09.xlsx. Anything that is not a
letter or a number in your company name becomes a hyphen.
Two exports on the same day have the same name, so your browser will number the second one. If you export regularly, the date in the name is what stops last week’s pipeline being mistaken for this week’s.
What the figures mean
Section titled “What the figures mean”The install cost and annual saving come from the estimate the customer generated on your calculator, not from any quote you have since written. They are built on the figures on your pricing page at the time the estimate was made. If your pricing is still Solar Desk’s placeholder figures, so is every number in the spreadsheet.