Predict Sending Time Series Popularity

POST

https://api.mpc.dev.placewise.com/v2/ml/sending/predict_time_series_popularity

API Permit:ML:Sending:KPIPrediction

API Context:Loyalty Club

Authorizations:UserToken

Returns predictions for selected KPI for a given sending using historical time series of popularity. Version v2, with upgraded models.

Example

When successful, returns:

{
  "prediction": 0.5
}

Request

Header Params

Body Params application/json

Examples

Responses

🟢200Success

application/json

Body

Request Example

Shell

JavaScript

Java

Swift

curl --location --request POST 'https://api.mpc.dev.placewise.com/v2/ml/sending/predict_time_series_popularity' \
--header 'X-User-Agent: ApiDog' \
--header 'X-Product-Name: default' \
--header 'X-Loyalty-Club-Slug: infinity-mall' \
--header 'X-Customer: 447' \
--header 'Authorization: Bearer ' \
--header 'X-Client-Authorization: ' \
--header 'Content-Type: application/json' \
--data-raw '{
    "channel": "email",
    "kpi": "ctr",
    "sending_date": "2022-11-09T16:25:58.099512Z"
}'

Response Example

{
    "prediction": 0
}

Explain Sending Text Popularity Prediction

Explain Sending Time Series Popularity Prediction

Predict Sending Time Series Popularity

Example#

Request

Responses

Example