Flow for adding a contact to a campaign is (read more here)

  1. Authenticate 
  2. Adding the contact to our system
  3.  Connect contact to the correct campaign 
  4.  When a contact has done a deposit or opting out, send us an event 

1. Authentication

POST https://api.wiraya.ai/auth/token/apikey HTTP/1.1
Content-Type: application/json; charset=utf-8
{"key":"YOUR API KEY"}

2. Add contacts

PUT https://api.wiraya.ai/api/Contact/12345 HTTP/1.1
Authorization: Bearer [YOUR TOKEN]
Content-Type: application/json
"schema": 1,
"personal": {
"givenName": "John",
"surName": "Doe",
"title": string,
"gender": "Male",
"birthDate": "1980-01-01",
"general": {
"city": "Testershire",
"county": "Dorset",
"country": "UK",
"timeOfRegistration": "2018-03-30T16:43:11Z",
"postCode": "DT11 0PS",
"accountStatus": "active",
"forgotPasswdTimes": 7,
"latestClientDetailUpdate": "2018-04-11T11:21:43Z",
"nrLogins": 6,
"latestLogin": "2018-05-07T19:22:11Z"

3. Connect contact to campaign

POST https://api.wiraya.ai/api/Contact/12345/campaigns HTTP/1.1
Authorization: Bearer [YOUR TOKEN]
Content-Type: application/json
"campaign": "foo",
"iteration": "2017-09"

4. Send a event

POST https://api.wiraya.ai/api/Contact/12345/events HTTP/1.1
Authorization: Bearer [YOUR TOKEN]
Content-Type: application/json
"at": "2017-01-02T03:04:05Z",
"name": "Conversion",
"schema": 1

This is a simplified example, more information exists in the documentation

Data attributes

At a minimum we need the telephone numbers and any data attributes we use in the direct communication (for example, user name if that is to be included in the communication

However, if we receive more data we can enable the machine learning capabilities and try to predict timing, content and channel. 

Some examples of data we current ingest:

  • Unique customer ID
  • Mobile telephone number
  • Demographic information (Gender, Birthdate, City, Zipcode, Age)
  • Registration event (datetime, referral, path to reg)
  • Location (coordinates) when registering  
  • Conversion (When it happens, amount)
  • Affiliate data
  • Segment memberships (Your own segments)
  • 3rd-party analytic tools (A/B, Web Analytics (GA 360))
  • Ad-network data (DMP)
  • 1st/3rd-party cookie data

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