Predict Sending Time Series Popularity v2

POST

https://api.mpc.dev.placewise.com/v1/ml/sending/predict_sending_kpi

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.

Body Parameters

Parameter	Type	Required?	Description
sending_date	Datetime	yes	Date of sending, ISO 8601 format.
channel	String	yes	Channel of sending. One of ["email", "push", "sms"].
kpi	String	yes	KPIs to predict. One of ["ctr", "open_rate"].

Example

When successful, returns:

{
  "prediction": 0.5
}

Request

Header Params

Body Params application/json

Example

{
    "channel": "email",
    "kpi": "ctr",
    "sending_date": "string"
}

Request Code Samples

Shell

JavaScript

Java

Swift

PHP

Python

HTTP

Ruby

curl --location --request POST 'https://api.mpc.dev.placewise.com/v1/ml/sending/predict_sending_kpi' \
--header 'X-User-Agent;' \
--header 'X-Product-Name;' \
--header 'X-Loyalty-Club-Slug;' \
--header 'X-Customer;' \
--header 'Authorization: Bearer ' \
--header 'X-Client-Authorization: ' \
--header 'Content-Type: application/json' \
--data-raw '{
    "channel": "email",
    "kpi": "ctr",
    "sending_date": "string"
}'

Responses

🟢200Success

application/json

Body

Example

{
    "prediction": 0
}

Predict Sending Text Popularity v2

Explain Sending Popularity Prediction v2

Predict Sending Time Series Popularity v2

Body Parameters#

Example#

Request

Request Code Samples

Responses

Body Parameters

Example