Analytics in, copy out: how an agent turns a CSV into conversion copy
Short answer: An agent turns a CSV into conversion copy by working downward: it reads one analytics export, walks the margin to an affordable-CAC ceiling, prices the largest funnel gap, then writes copy aimed only at that step. Output lands in a Google Sheet, each variant tagged with a reference ID for later measurement.
How does an agent turn a CSV into conversion copy?
An agent turns a CSV into conversion copy by working downward from the numbers: it reads one analytics export, walks the margin to an affordable-CAC ceiling, prices the largest funnel gap, then writes copy aimed only at that step. Copy lands in a sheet, each variant tagged with a reference ID.
- A margin walk
- An affordable-CAC ceiling
- A priced funnel gap
- Copy in a Google Sheet, one reference ID per variant
- An eight-week report
The export never leaves your workspace.
What exactly goes in?
One analytics export goes in — a CSV from GA4, Shopify or the platform in use. Even a dashboard screenshot works, since the agent reads figures, not file formats. No integration, API key or code is required; the export is pasted into an existing ChatGPT or Claude workspace and never leaves it.
What comes out?
Five artefacts come out: a margin walk from revenue to contribution, an affordable-CAC ceiling, the priced funnel gap that costs most, conversion copy in a Google Sheet with a reference ID per variant, and an eight-week report comparing the same funnel step before and after. Nothing is published automatically.
Does the data need cleaning first?
No cleaning is needed first. The agent tolerates messy exports — blank rows, renamed columns, mixed date formats — and asks for the few figures it cannot infer rather than failing. Time spent tidying a spreadsheet beforehand is largely wasted; the quicker path is to paste the raw export and answer any follow-up questions.
Where does the copy get written, and how is each variant tracked?
Copy gets written into a Google Sheet, one row per variant, each tagged with a reference ID before anything ships. The ID ties a published line back to the funnel step it targets and the baseline recorded beforehand, so a later movement can be traced to a named variant rather than guessed at across a flat line.
How soon can you tell if it worked?
A first read arrives once the same funnel step has run the same window length after publishing as before it — typically two to four weeks for mid-traffic shops, longer for thin traffic. The eight-week report is the honest verdict; shorter reads flag direction, not proof, because low volume swings on noise.
What this does not tell you
The mechanism makes copy movement attributable; it does not make it inevitable. A reference ID and a recorded baseline separate a working line from a weak one — but they cannot fix a broken checkout, rescue unqualified traffic, or manufacture volume a thin shop does not have. The margin walk depends on the figures supplied: a wrong cost-of-goods number produces a confident but wrong CAC ceiling. And the eight-week report describes what moved on the tested step, not why the wider market shifted around it. On low traffic, no window length substitutes for more data.
FAQ
How does an agent turn a CSV into conversion copy?
An agent turns a CSV into conversion copy by working downward from the numbers: it reads one analytics export, walks the margin to an affordable-CAC ceiling, prices the largest funnel gap, then writes copy aimed only at that step. Copy lands in a sheet, each variant tagged with a reference ID.
What comes out?
Five artefacts: a margin walk from revenue to contribution, an affordable-CAC ceiling, the priced funnel gap that costs most, conversion copy in a Google Sheet with a reference ID per variant, and an eight-week report comparing the same funnel step before and after. Nothing is published automatically.
Where does the copy get written, and how is each variant tracked?
Into a Google Sheet, one row per variant, each tagged with a reference ID before anything ships. The ID ties a published line back to the funnel step it targets and the baseline recorded beforehand, so a later movement traces to a named variant rather than a guess.
How soon can you tell if it worked?
Once the same funnel step has run the same window length after publishing as before it — typically two to four weeks for mid-traffic shops, longer for thin traffic. The eight-week report is the honest verdict; shorter reads flag direction, not proof.
Cocoon Productions, E-Commerce Agent Workflow (€275), run inside your own ChatGPT or Claude workspace; mechanism and artefacts as delivered; figures illustrative. Updated August 2026.
