723 ads, 30 personas, 22 cents
Matthew Berman scrolled 723 ads as 30 different buyer personalities and recorded whether each one stopped.
CA clean typed decision with low volume or low value, or too vague to act on.2.46
Key facts
- Vertical
- Cross-industry
- Function
- Ads
- Status
- Seen in the wild
- Volume
- one-off
- Value
- meaningful
- Risk
- low
- Evidence
- built and shown
- Flags
- check-fit
Build this with a classifier
Define a typed decision with a bounded answer, then evaluate it on examples.
{
"decision_type": "choice",
"question": "Does this input match the decision in “723 ads, 30 personas, 22 cents”?",
"input": "<input to classify>",
"output": "one label from a fixed list"
}Related use cases
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