Most people never open GA4 because the dashboards demand interpretation they don't have time for. This writer pulls the numbers and explains them in sentences instead.
sonnet3 daysGA4 APIOpenAITelegramCron
Claude
64ROI
64Scale
$1.1k88Saved
ROI for
README.md
Why this subagent
Most people never open GA4 because the dashboards demand interpretation they don't have time for. This writer pulls the numbers and explains them in sentences instead.
It compares the period against the last one, then writes a plain narrative of what moved and the likely reason, delivered to email or Telegram on a schedule. Your team reads a paragraph that says traffic rose on one post and conversions dipped, no dashboard required.
How it runs
Used at step 01 to kick off the pipeline.
Write
Used at step 01 to kick off the pipeline.
WebFetch
Used at step 01 to kick off the pipeline.
WebSearch
Used at step 01 to kick off the pipeline.
Compare each number against the prior period and compute the meaningful changes.
pending
Write a narrative report that explains what moved and likely why, not just figures.
pending
Send the finished report to email or Telegram on your chosen schedule.
pending
Sample output
json
// Sample output
// (generated when the pipeline finishes)
Turn the GA4 metrics and period-over-period deltas into a written report covering traffic, top pages, sources, and conversions, leading with what changed most.
Unlock the rest
The full agent definition, install snippet, and starter task are gated for community members.
Members get the full `.md` agent file, the npm / pnpm install one-liners, a starter prompt that we've tuned against real runs, and the open-source repo when this automation ships there. One email, magic link, done.