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A curated summary of the top questions asked on our Slack community, often relating to implementation, functionality, and building better products generally.
How can we address billing concerns and discrepancies in experiment config checks, gate checks, and exposure ratios?
Date of slack thread: 6/28/24
Anonymous: Hello Team,
We have some concerns regarding our billing and metrics that we’d like to discuss:
- Experiment Config Checks Billing: a. We understand that experiment config checks should not be charged multiple times within an hour. However, we’ve noticed a significant spike in these numbers, and the current figures seem unusually high.
- Correlation between Free Gate Checks and Config Checks: a. The correlation between free gate checks and config checks appears unusual. Could you please provide more insight into how these metrics are related and what might be causing this discrepancy?
- High Config Check to Exposure Ratio: a. In our current test, we have approximately 3 million exposures. This seems to translate to about 12 config checks per exposure, which appears extremely high considering the hourly window. Could you help us understand if this is normal or if there might be an issue?
- Account Review Request: a. To help investigate these concerns, please review our account: https://console.statsig.com/6ZAzaa9b8pyUnpuPGNinaD/home We’d greatly appreciate your insights into these matters and any suggestions for optimizing our usage or resolving potential issues. Thank you for your assistance.
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