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Select a model using payment-conversion evaluation
Compare model variants on payment conversion in an isolated test experiment and select using prespecified windows, sample counts, and uncertainty rather than public benchmarks alone.
Goal
Compare model variants on payment conversion in an isolated test experiment and select using prespecified windows, sample counts, and uncertainty rather than public benchmarks alone.
Steps
- Fix the eligible population, model arms, offer conditions, and conversion window. [src-openai-select-model-using-payment-conversion-evaluation]
- Record exposures and test-mode payment events in Stripe, linked to model versions. [src-openai-select-model-using-payment-conversion-evaluation]
- Compare conversion rates and sample sizes, then document the selection and limits. [src-openai-select-model-using-payment-conversion-evaluation]
How to verify
Verify arms, exposure counts, conversion numerator/denominator, and time windows before reporting a winning model.
Troubleshooting
If traffic or offers differ, stop comparing raw conversion; fix randomization/attribution and rerun on the same population.
Permissions
Prerequisites
- Model API keys, Stripe test mode, synthetic users, and a prespecified experiment; do not use live payment credentials.
Permissions
- Model APIs may incur charges and create test payments; connect only to Stripe test mode, never live customers or funds.
Limitations
Conversion results depend on sample size, experiment bias, and changing users; one experiment cannot guarantee future performance.
Pinned upstream source
- Repository
- openai/openai-cookbook
- File path
- examples/stripe_model_eval/selecting_a_model_based_on_stripe_conversion.ipynb
- Pinned commit
5bd6cb40b6b84b69b2032d810610aa85064102df- Source checked
- 2026-10-14 · Reviewed against the pinned upstream source
Repository metrics
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License: MIT
Main topic
Turn ecommerce campaign materials into a reviewable weekly brief