Model: VariantTimeseries

1 min

Model Parameters

VariantTimeseries
- experiment_idinteger<int64>
  Description
  The unique identifier for the Experiment this entity contains results for (if applicable)
  Format
  int64
- is_baselineboolean
  Description
  Indicates that this variant is the baseline that all other entities will be compared against. Also referred to as the 'Control' or 'Control Group'
- levelstring<variation | experiment | campaign>
  Description
  The level of entity that this variant represents
  Allowed
  variationexperimentcampaign
- namestring
  Example
  Blue Button
  Description
  The name of the variant
- timeseriesTimeseriesDatapoint[]
  Description
  The results time series data points
  - liftDatapoint
    Description
    A value with statistical context
    - confidence_intervalnumber[]
      Example
      [ 0.010399560300730457, 0.0850821459929161 ]
      Description
      The confidence interval measures the uncertainty around improvement. It starts out wide and shrinks as more data comes in. Significance means that the confidence interval is completely above or completely below 0. If the result is significant and positive, the confidence interval will be above 0. If the result is significant and negative, confidence interval will be below 0. If the result is inconclusive, confidence interval includes 0
    - confidence_interval_scalednumber[]
      Description
      The confidence interval with bounds that are scaled by the baseline conversion rate.
    - end_of_epochboolean
    - is_most_conclusiveboolean
      Description
      Indicates that this is the best performing variant for this metric. Also referred to as the 'Winner'
    - is_significantboolean
      Description
      Indicates if significance is above your confidence threshold
    - lift_statusstring<equal | better | worse>
      Description
      Indicates whether a variation is doing better/worse than the baseline after taking the metric's winning direction into account.
      Allowed
      equalbetterworse
    - significancenumber<double>
      Description
      The likelihood that the observed difference in conversion rate is not due to chance
      Format
      double
    - valuenumber<double>
      Description
      The estimated improvement for this variant compared to the baseline
      Format
      double
    - value_scalednumber<double>
      Description
      The estimated improvement scaled by the baseline conversion rate.
      Format
      double
    - visitors_remaininginteger<int64>
      Description
      The number of estimated visitors remaining before result becomes statistically significant. A value of 9223372036854775807 means the value is not available.
      Format
      int64
  - ratenumber<double>
    Description
    The value of the metric after dividing the numerator value over the denominator value
    Format
    double
  - samplesnumber<int64>
    Description
    The value of the denominator
    Format
    int64
  - timestring<date-time>
    Description
    Time of this data point formatted in ISO 8601
    Format
    date-time
  - valuenumber<int64>
    Description
    The value of the numerator
    Format
    int64
  - variancenumber<double>
    Description
    The variance of the metric value
    Format
    double
- variation_idstring
  Description
  The unique identifier for the variation this entity contains results for (if applicable)