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Marketing E-commerce Real Estate Fintech

Developer

Incubalabs Technologies Inc

Customer Conversion Prediction

Details

The idea of this API is to predict user conversion given preliminary parameters. A decision tree model is used and finally some result predictions are made.

Verified

Use Cases

This API can be used to predict a user's conversion, taking into account several user characteristics

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Endpoints (2)

Title:
Endpoint #1 Model Details

Description:

Details about the score and other metrics

Base URL:

https://www.dataendpoint.co/machine-learning-apis/customer-conversion-prediction/get-api

Requests:

# GET /current-details/<token>

Token:
every API have unique token. You'll get one once you activate the endpoint

Example responses
Press button to test this endpoint response

Code Examples:

const axios = require('axios');

axios({

"method": "GET",

"url": https://www.dataendpoint.co/machine-learning-apis/customer-conversion-prediction/get-api/current-details/<token>

"headers": {

"content-type": "application/json"

}

}).then((response) => {

// handle sucess

console.log(response)

}).catch((error) => {

// handle error

console.log(error)

})

import requests

url = https://www.dataendpoint.co/machine-learning-apis/customer-conversion-prediction/get-api/current-details/<token>

headers = {

"content-type": "application/json"

}

response = requests.request("GET", url, headers=headers)

print (response.text)

require 'httparty'

url = https://www.dataendpoint.co/machine-learning-apis/customer-conversion-prediction/get-api/current-details/<token>

response = HTTParty.get(url,

headers: { "Content-Type" => "application/json" })

puts response.parsed_response

<?php

$curl = curl_init();

$url = https://www.dataendpoint.co/machine-learning-apis/customer-conversion-prediction/get-api/current-details/<token>

curl_setopt_array($curl, array(

CURLOPT_URL => $url,

CURLOPT_CUSTOMREQUEST => "GET",

CURLOPT_HTTPHEADER => array(

"Content-Type: application/json"

));

$response = curl_exec($curl);

curl_close($curl);

echo $response;

Expected Response

Title:
Endpoint #2 Predict Conversion

Description:

Endpoint to predict customers' conversion

Base URL:

https://www.dataendpoint.co/machine-learning-apis/customer-conversion-prediction/post-api

Requests:

# POST /predict/<token>

Token:
every API have unique token. You'll get one once you activate the endpoint

Body params:

Body param name	Body param type	Example	Requirement	Params Has Constraint
`age`	NUMBER	62	[Required]	[no constraint]
`balance`	NUMBER	3000	[Required]	[no constraint]
`campaign`	BOOLEAN	true	[Required]	[no constraint]
`previous`	BOOLEAN	true	[Required]	[no constraint]
`housing`	BOOLEAN	true	[Required]	[no constraint]
`job_admin.`	BOOLEAN	false	[Required]	[no constraint]
`job_blue-collar`	BOOLEAN	false	[Required]	[no constraint]
`job_housemaid`	BOOLEAN	false	[Required]	[no constraint]
`job_management`	BOOLEAN	false	[Required]	[no constraint]
`job_retired`	BOOLEAN	false	[Required]	[no constraint]
`job_self-employed`	BOOLEAN	true	[Required]	[no constraint]
`job_services`	BOOLEAN	false	[Required]	[no constraint]
`job_student`	BOOLEAN	false	[Required]	[no constraint]
`job_technician`	BOOLEAN	false	[Required]	[no constraint]
`job_unemployed`	BOOLEAN	false	[Required]	[no constraint]
`job_unknown`	BOOLEAN	false	[Required]	[no constraint]
`marital_divorced`	BOOLEAN	true	[Required]	[no constraint]
`marital_married`	BOOLEAN	false	[Required]	[no constraint]
`marital_single`	BOOLEAN	false	[Required]	[no constraint]
`job_entrepreneur`	BOOLEAN	false	[Required]	[no constraint]

Code Examples:

const axios = require('axios');

axios({

"method": "POST",

"url": https://www.dataendpoint.co/machine-learning-apis/customer-conversion-prediction/post-api/predict/<token>

"data": { "age": 62 , "balance": 3000 , "campaign": true , "previous": true , "housing": true , "job_admin.": false , "job_blue-collar": false , "job_housemaid": false , "job_management": false , "job_retired": false , "job_self-employed": true , "job_services": false , "job_student": false , "job_technician": false , "job_unemployed": false , "job_unknown": false , "marital_divorced": true , "marital_married": false , "marital_single": false , "job_entrepreneur": false }

"headers": {

"content-type": "application/json"

}

}).then((response) => {

// handle sucess

console.log(response)

}).catch((error) => {

// handle error

console.log(error)

})

import requests

url = https://www.dataendpoint.co/machine-learning-apis/customer-conversion-prediction/post-api/predict/<token>

data = { "age": 62 , "balance": 3000 , "campaign": true , "previous": true , "housing": true , "job_admin.": false , "job_blue-collar": false , "job_housemaid": false , "job_management": false , "job_retired": false , "job_self-employed": true , "job_services": false , "job_student": false , "job_technician": false , "job_unemployed": false , "job_unknown": false , "marital_divorced": true , "marital_married": false , "marital_single": false , "job_entrepreneur": false }

headers = {

"content-type": "application/json"

}

response = requests.request("POST", url, data=data, headers=headers)

print (response.text)

require 'httparty'

url = https://www.dataendpoint.co/machine-learning-apis/customer-conversion-prediction/post-api/predict/<token>

data = { "age" => 62 , "balance" => 3000 , "campaign" => true , "previous" => true , "housing" => true , "job_admin." => false , "job_blue-collar" => false , "job_housemaid" => false , "job_management" => false , "job_retired" => false , "job_self-employed" => true , "job_services" => false , "job_student" => false , "job_technician" => false , "job_unemployed" => false , "job_unknown" => false , "marital_divorced" => true , "marital_married" => false , "marital_single" => false , "job_entrepreneur" => false }

response = HTTParty.post(url,

body: data.to_json,

headers: { "Content-Type" => "application/json" })

puts response.parsed_response

<?php

$curl = curl_init();

$url = https://www.dataendpoint.co/machine-learning-apis/customer-conversion-prediction/post-api/predict/<token>

curl_setopt_array($curl, array(

CURLOPT_URL => $url,

CURLOPT_CUSTOMREQUEST => "POST",

CURLOPT_POSTFIELDS => "

{ "age": 62 , "balance": 3000 , "campaign": true , "previous": true , "housing": true , "job_admin.": false , "job_blue-collar": false , "job_housemaid": false , "job_management": false , "job_retired": false , "job_self-employed": true , "job_services": false , "job_student": false , "job_technician": false , "job_unemployed": false , "job_unknown": false , "marital_divorced": true , "marital_married": false , "marital_single": false , "job_entrepreneur": false }

CURLOPT_HTTPHEADER => array(

"Content-Type: application/json"

));

$response = curl_exec($curl);

curl_close($curl);

echo $response;

Example responses
Enter next parameters to test endpoint response

Enter parameters

age

balance

campaign

housing

job_admin.

job_blue-collar

job_housemaid

job_management

job_retired

job_self-employed

job_services

job_student

job_technician

job_unemployed

job_unknown

marital_divorced

marital_married

marital_single

job_entrepreneur

Expected Response

Pricing plans in USD

Beginner Plan

Customer Conversion Prediction Beginner Plan Monthly

$9.0 # petitions 350 Monthly Subscription

Expert Plan

Customer Conversion Prediction Expert Plan Monthly

$15.0 # petitions 3500 Monthly Subscription

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