
Sauna audits product pages, reorders collection grids by conversion, drafts SEO titles and copy, and flags the low-converting PDPs from Google Analytics — all staged in Shopify for your approval.
What it does
Sauna pulls conversion and click-through per product from Google Analytics and Shopify and recommends a new sort order for each collection, staged for you to publish.
It scans PDPs for missing images, thin descriptions, and broken variants, then writes the fix list in Airtable prioritized by traffic.
Sauna writes product titles, meta descriptions, and on-page copy that match your voice and the search terms the page already ranks for, queued in Shopify as drafts.
It surfaces high-traffic, low-conversion pages and drafts a hypothesis for each — price, imagery, or copy — for the next test.
Put Sauna to work on this.
Get started for freeIn context
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
The literal prompt for this job. Open it in Sauna and it picks up from there.
“Pull conversion by product for my dresses collection from Google Analytics, re-rank the grid to put high-converters first, and draft the change for me to approve in Shopify.”
Plugs into the tools you already run — and thousands more, or any MCP server.
Good to know
No. Every grid re-sort and copy edit is staged as a draft in Shopify. Nothing goes live until you review and publish it.
No. It writes only from your product attributes and existing content, and won't assert a feature or benefit your data doesn't support.
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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