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) |
