ShoutSmith

Learn from results

It reads the results so next week is different

Posting without reading the results is just a hobby with extra steps. The point of the loop is that the next week is shaped by the last one.

Logging numbers without typing numbers

Screenshot your platform's analytics and it reads the figures off the image. It's the least interesting part of the loop and the part most likely to stop you, so it's the part that got automated.

A weekly report that ends in decisions

The Analyst reads what went out against what it scored and what it actually did, then writes up what worked, the attribute-level patterns behind it, and what to change.

  • What performed, and what the pattern was
  • Where the panel's prediction and reality disagreed
  • Value-content topics worth hunting for next
  • What to change in the plan

Every creative carries its own genome

Format, pillar, hook source, style, model — tagged on every item at birth. That's what lets the analysis say which kind of thing works rather than which post did well.

Seventeen guides, in the app

Connecting each platform, getting through verification, judging creatives, reading the weekly report, the mix of value content, the Reddit and creator playbooks. Written for the situation you're actually in.

The in-app guides list
Written for the step you're stuck on.

Fair questions

Do I have to log metrics by hand?
You can type them, screenshot them, or let a connected platform report them where its API allows. The screenshot reader exists because the first option is the one people quietly stop doing.
How long before the reports are useful?
It needs weeks of posts carrying costs and logged results before patterns mean anything. Before that it's describing a small sample, and it says so.
What is the Lab?
This platform marketing itself in public — real posting, real numbers, written up by its own Analyst, including the parts that didn't work.

Keep reading

← All eight parts

Marketing that runs while you build

Early access rolls out from the waitlist, a cohort at a time.