Certona

Introduction

The Certona platform drives personalization across the customer lifecycle. From highly individualized email campaigns to machine-learning-powered product recommendations, Certona ensures that you’re harnessing the power of personalization.

MoEngage <> Certona

The MoEngage and Certona integration leverages Certona’s machine learning product recommendations in MoEngage campaigns via Content APIs. 

Integration 

library_add_check

Prerequisites

  • Ensure that you have a Certona account.
  • Ensure that you have access to Certona REST API endpoint. This endpoint is used directly in your MoEngage Content APIs to pull recommended content based on user ID.

We will use Certona’s REST API to insert personalized content into your campaigns. This can be done by adding the following adding Certona Rest API endpoint in MoEngage Content APIs. 

Step 1: Add content API on MoEngage 

info

Information

We've revamped our dashboard settings UI. Content API is now available in Settings -> Advanced Settings -> Content API in the revamped UI. For more information, refer to Summary of Changes - Settings UI Revamp.

  1. Revamped UI Old UI

    Navigate to Settings -> Advanced Settings -> Content API. Click + Add content API at the top right corner of the Content API screen.

    ContentAPI_Navogation.png

  2. Add your Certona API to the endpoint URL. 

    Screenshot_2022-10-18_at_3.33.26_PM.png

  3. Note - You can also test your APIs by clicking on the Test button. You can your API response and validate.

Step 2: Using content APIs in MoEngage campaigns

You can now use these content APIs in your campaigns. Read here to know more about Content APIs 

  1. On step 2 on your campaign creation, enter @. 
  2. In the pop up, you can select the Certona Content API configured in Step 2.
  3. You can use MoEngage Templating Language to parse through the API response and use the content in your campaigns.
    Screenshot_2022-10-18_at_3.41.01_PM.png
    You can click on the Preview tab to view your campaign in real-time personalisation. 

Previous

Next

Was this article helpful?
0 out of 0 found this helpful

How can we improve this article?