A/B test variant winner classification
Classify and score ad variants during A/B tests to predict winner before full statistical significance and reduce spend on losing variants
STop tier. Meets A, and the payoff is major with high confidence.4.65
Key facts
- Vertical
- Cross-industry
- Function
- Ads
- Status
- Seen in the wild
- Volume
- routine
- Value
- major
- Risk
- moderate
- Evidence
- described plan
- Flags
- None
Source: https://docs.abtasty.com/adaptivecx/getting-started/activate/adaptive-a-b-tests
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 “A/B test variant winner classification”?",
"input": "<input to classify>",
"output": "one label from a fixed list"
}Related use cases
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