when using breakdown by 'experiments', which logic it follows?

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When breaking down by experiments in Mixpanel, the system follows specific logic to analyze how different experiment variants impact your metrics.Based on the knowledge sources, when you break down by experiments (specifically using the "Attributed by" computed property), Mixpanel will: 1. Distribute your conversion metric across segments based on the experiment variants users were exposed to 2. By default, Mixpanel assigns the last touch attribution model with a 30-day lookback window 3. You can change this model in the metric section to other options like linear, time decay, or custom attribution modelsThis allows you to see how different experiment variants influenced your chosen conversion metrics How multi-touch attribution helps teams make data-driven decisions.For experiment tracking to work properly, Mixpanel looks for events in a specific format: - Event name: "$experiment_started" - Event properties must include: - "Experiment name" - the name of the experiment - "Variant name" - the specific variant the user was exposed toWhen these events are properly tracked, Mixpanel automatically populates the Experiment, Control, and Variant dropdowns within reports LaunchDarkly.The Experiments report then calculates metrics like group rates, lift (percentage difference between control and variant), and confidence scores to help you determine if your experiment results are statistically significant Experiments: Measure the impact of your A/B testing.

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