Prediction events

Note: Your integration may add custom parameters. The tables only list parameters that exist in Synerise and SDKs/APIs by default.

snr.prediction.score

A prediction was completed for a profile. Check the parameters to see the prediction score.

Default retention: 30 days

Parameter Type Example Description
Base parameters various n/a Parameters that exist in all events
modelId string bftjpcmdxrku Unique ID of the prediction. It is part of the prediction's URL.
modelName string ltv_prediction Name entered when creating the prediction. You can use it to summarize what the prediction does or give the result an identifier that can be used later for another purpose.
score_label string Very low A textual label of the score, on a 2- or 5-point scale depending on the prediction's configuration.
score number 101.297 The score as a number
percentile number 39 The percentile where this score is located among all other scores of the prediction.
configurationVersion number 3 Allows to verify whether two consecutive calculations ran with the same settings (only for debugging).
modelVersion string 0.285 Model version allows to verify whether two consecutive calculations ran on the same model parameters (only for debugging).
featureInfluence array Local feature importance
classes array of strings ["0","1"] Available classes. Only exists in classification predictions.
prediction string 1 Predicted class. Only exists in classification predictions.

snr.propensity.score

A propensity prediction was completed for a profile. Check the parameters to see the prediction score.

Default retention: 30 days

Parameter Type Example Description
Base parameters various n/a Parameters that exist in all events
modelId string bftjpcmdxrku Unique ID of the prediction. It is part of the prediction's URL.
modelName string ltv_prediction Name entered when creating the prediction. You can use it to summarize what the prediction does or give the result an identifier that can be used later for another purpose.
score_label string Very low A textual label of the score, on a 2- or 5-point scale depending on the prediction's configuration.
scoreName string ltv_prediction Deprecated parameter: custom score name entered when creating the prediction. You can use it to summarize what the prediction does or give the result an identifier that can be used later for another purpose.
score number 101.297 The score as a number
percentile number 39 The percentile where this score is located among all other scores of the prediction.
configurationVersion number 3 Allows to verify whether two consecutive calculations ran with the same settings (only for debugging).
modelVersion string 0.285 Model version allows to verify whether two consecutive calculations ran on the same model parameters (only for debugging).

snr.bestfit.score

A best fit prediction was completed for a profile. Check the parameters to see the prediction result.

Default retention: 30 days

Parameter Type Example Description
Base parameters various n/a Parameters that exist in all events
configurationVersion number 3 Allows to verify whether two consecutive calculations ran with the same settings (only for debugging).
modelId string bftjpcmdxrku Unique ID of the prediction. It is part of the prediction's URL.
modelVersion string 0.285 Model version allows to verify whether two consecutive calculations ran on the same model parameters (only for debugging).
modelName string ltv_prediction Name entered when creating the prediction. You can use it to summarize what the prediction does or give the result an identifier that can be used later for another purpose.
attribute string brand The name of an item attribute which was selected in the configuration of prediction. The value of this attribute is the prediction result.
topValue string myExampleBrand The value of the attribute selected in the prediction configuration - it is the prediction result.
topScore number 101.297 The score as a number

snr.lookalike.score

A lookalike prediction was completed for a profile. Check the parameters to see the prediction score.

Default retention: 30 days

Parameter Type Example Description
Base parameters various n/a Parameters that exist in all events
modelId string bftjpcmdxrku Unique ID of the prediction. It is part of the prediction's URL.
modelName string ltv_prediction Name entered when creating the prediction. You can use it to summarize what the prediction does or give the result an identifier that can be used later for another purpose.
score_label string Very low A textual label of the score, on a 2- or 5-point scale depending on the prediction's configuration.
scoreName string ltv_prediction Deprecated parameter: custom score name entered when creating the prediction. You can use it to summarize what the prediction does or give the result an identifier that can be used later for another purpose.
score number 101.297 The score as a number
percentile number 39 The percentile where this score is located among all other scores of the prediction.
configurationVersion number 3 Allows to verify whether two consecutive calculations ran with the same settings (only for debugging).
modelVersion string 0.285 Model version allows to verify whether two consecutive calculations ran on the same model parameters (only for debugging).

snr.ate.prediction

A time optimizer prediction was made for a profile. Check the parameters to see the result.

Default retention: 30 days

Parameter Type Example Description
Base parameters various n/a Parameters that exist in all events
isFallback boolean false This parameter can take two values: true or false. It describes whether there was enough data to make a prediction. If there was not enough data, this parameter takes true value. In such case, the system takes the most used time from the distribution of other profiles.
nextNhours integer 12 This parameter is the value used in the Custom time period option.
expireAt string 2022-12-04T19:39:47.398318+00:00 This parameter contains the result of the prediction: the best date and time proposed by the algorithm given in UTC.
topN integer 1 This parameter takes numerical values and it informs how many best hour predictions matched the conditions and exclusions. Usually the value is 1.
mode string standard This parameter returns the name of the mode used for calculating the prediction.
timeIndexExclude array of arrays of integers [[166,167]] This parameter returns the days and hours that are excluded from the time proposed by the algorithm.
predictedHour number 163 This parameter returns the predicted hour in the form of an hour of the week (for example, according to the example in the expireAt description, the value for the predictedHour parameter is 163 - Sunday, 7 P.M. UTC)
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