Why almost nothing dials a spreadsheet
A dialer needs three things a Google Sheet does not have: a stable record identity, a place to write a disposition, and a way to know which rows are still worth calling.
A sheet has rows that move when you sort, no schema, and no way to stop two reps calling row 412 simultaneously. Vendors avoid building on that for good reasons.
Trellus works around it by running as a browser layer over the sheet rather than reading it as a database, which is clever and is also why the outcomes stay in the sheet.
The real question: dial the sheet, or leave it
Dial the sheet if the list is under a few hundred rows, one person is calling it, it is a one-off campaign, and you do not need follow-up tracking. Trellus at $99.99 is the answer and no import is needed.
Leave the sheet if any of the following are true, and they usually are within two weeks:
- More than one person is calling the same list
- You need to call someone back on a specific date
- The list is over about 500 rows
- You want to filter to only the records still worth a call
- You need to know which numbers are already dead
Every one of those is a database problem that a spreadsheet solves badly. The cost of leaving is one CSV export and a thirty-second import.
What the import actually involves
Exporting a Google Sheet as CSV is File, Download, Comma-separated values. Importing it into a dialer is a file picker and a column mapping screen, where you confirm which column is the phone number and which is the name.
Most dialers auto-detect the standard columns. The whole process is under a minute, and it is the last time you will do it for that list.
The number format matters more than the mapping. Numbers should be in E.164 form, like +14155551234 with no spaces or punctuation. A sheet full of numbers written as (415) 555-1234 will mostly import fine and will produce a handful of failures, and those failures cost you number reputation as well as time.
The spreadsheet columns worth adding before you import
If you are going to import anyway, spend five minutes adding these:
| Column | Why |
|---|
| phone in E.164 | Prevents carrier-level failures |
| timezone or state | Lets you dial each region in its own best window |
| source | Tells you which list vendor actually produced conversations |
| owner | Prevents two reps calling the same person |
The source column is the one people skip and later wish they had. It is the difference between renewing a data subscription on evidence and renewing it on a feeling.
The cost comparison
One person, 120 dials a day, calling a spreadsheet list.
| Option | Monthly |
|---|
| Trellus Power, dials the sheet directly | ~$100 |
| A pack-priced dialer + own Twilio, after CSV import | ~$14 |
| Myphoner Basic + own Twilio | ~$41 |
| Close Growth | ~$120 |
Trellus's premium is buying the no-import convenience and the in-call coaching. For a one-off campaign that is a fair trade. For an ongoing calling operation, paying $86 a month more to keep your outcomes in a spreadsheet is the wrong direction.