The research industry likes to keep study pricing opaque, which is convenient for vendors and expensive for agencies. So let's make it concrete. Take one standard custom study and break the production cost into its parts. What you find is that the methodology, the part that justifies the price, is a minority of it. Most of the cost is manual labor moving work between tools, and that's exactly the part a modern platform removes.
These figures are illustrative, a model to run on your own numbers, not an audited P&L. But the shape is the argument.
The breakdown
Take the production cost of a single standard study, leaving sample and fielding aside since those are charged separately per respondent-minute. A traditional build runs on the order of $20,000, and it splits roughly like this:
Programming: about $3,000. Translating the instrument into a working survey, testing the logic, fixing it when it breaks.
Reporting: about $7,500. Cleaning data, building tables and charts, assembling the deck. The single biggest line.
Plus the connective labor: QA, data processing, open-end coding, weighting, and the coordination that moves a study across a stack of separate tools and vendors.
Add it up and the same study lands around $20,000 in production cost, on a four-to-six-week timeline. Notice what's expensive: not the thinking, the moving. The design and interpretation, the actual expertise, are a small share. The bulk is mechanical production and the hand-offs between systems.
Where the 80% hides
This is the uncomfortable insight. Most of what a study costs isn't the methodology clients are paying for; it's the labor of operating a dozen tools and stitching their outputs together. Programming, cleaning, charting, coding, the coordination tax on all of it. It's invisible because it's spread across line items and vendors, but it's most of the bill.
Which is why it's also most of the opportunity. If the expensive part were the rigor, there'd be nothing to cut without cutting quality. But the expensive part is the manual relay, and that can be automated without touching the methodology at all.
What it costs when the relay collapses
Run the same study on a single platform that automates the production, and the numbers move hard. Programming drops from around $3,000 to about $500, because the survey builds from a Word document in minutes. Reporting drops from roughly $7,500 to about $1,500, because cleaning, tables, and the deck assemble from live data. The four-to-six-week timeline collapses to days.
The same $20,000 study comes in around $4,150 in production cost. That's roughly an 80 percent cut, and not one dollar of it comes from cutting corners. Same methodology, same rigor. The saving is the manual labor that inflated the price in the first place.
The point isn't one study
Saving $16,000 on a single study is nice. It's not the real story. The real story is what happens to the whole operation when the production cost of every study falls by around 80 percent. A budget that bought three or four studies a year now buys well over a dozen. The firms still running a handful "because that's the budget" haven't recalculated; the economics changed and the planning didn't.
And the pricing reinforces it: per respondent-minute, with no platform-access fees, so cost scales with what you actually use, not what you license. The research you're not running isn't a budget problem. It's an infrastructure problem, and the infrastructure changed.
Run it on your own numbers
Don't take the illustrative figures as a promise; take the structure as a lens. Open up the cost of your own standard study and ask how much is methodology and how much is moving work between tools. Wherever that 80 percent sits in your shop, it's the part that was never the thing clients paid for, and it's the part you no longer have to.