The AI agent for pricing analysts
Sauna pulls deal and cost data from your warehouse and Sheets, drafts the pricing analysis, builds the margin model, and writes the recommendation memo, tracing each figure to its source.
What it does
What Sauna does for pricing analysts
- 01
Build margin models
Sauna assembles a margin model in Google Sheets from cost and price data in Snowflake, showing the contribution by product and segment for your review.
- 02
Analyze discount leakage
It queries closed deals and drafts a report in Google Docs on where realized prices fall below list and which segments leak most.
- 03
Draft pricing recommendations
Sauna writes a recommendation memo separating the data-backed finding from your proposed move, with each input sourced for challenge.
- 04
Monitor price changes
When a competitor or cost input shifts, it posts a Slack note on which products the change pressures and by how much.
Put Sauna to work on this.
Get started for freeIn context
Ask in chat. It does the work.
Sauna shows up where you already work — the web app, Slack, email, iMessage, and Superhuman. It reads what it needs, does the task, and comes back with the draft for your approval.
Try it
Ask in plain words
The literal prompt for this job. Open it in Sauna and it picks up from there.
“Pull cost and deal data from Snowflake, build a margin model by segment in Sheets, and draft a report on where realized prices are leaking below list for me to review.”
Plugs into the tools you already run — and thousands more, or any MCP server.
Good to know
Questions, answered.
Will it invent margins it can't compute?
No. Every figure traces to a cost or price input you connect, and it leaves a gap visible rather than estimating a number.
Can it set prices itself?
It models and recommends; every price change is a draft you approve before it's enacted.
Is my data safe?
Sauna reads only what you connect, and acts only after you approve. Your workspace and its memory are yours, not training data.
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More ways teams use Sauna
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