Kochava webhook

Kochava is a leading mobile analytics and attribution solution, empowering businesses to precisely track and analyze app performance metrics, user behaviors, and advertising attribution. With its robust suite of tools, Kochava enables comprehensive post-install event management and custom postback configurations, supporting detailed data analysis and tailored event tracking within app ecosystems.

Feature

Setting up Kochava webhooks with Meiro Events unlocks the potential for real-time data transmission and analysis, fostering more informed decision-making and proactive app management. 

Learn more: how to configure Kochava webhooks, refer to the official documentation.

Examples of standard events in Kochava for eCommerce include:

• Add to Cart
• Add to Wishlist
• Checkout Start
• Purchase
• Search
• Ad View
• Rating
  

Full list of events, check here.

Example data

Here's an example of the JSON structure:

{
  "data": {
      "usertime": 1521574016,
      "app_version": "1.0.0",
      "device_ver": "",
      "device_ids": {
          "idfa": "{idfa}"
      },
      "device_ua": "Mozilla/5.0 (iPhone; CPU iPhone OS 8_0 like Mac OS X) AppleWebKit/534.46 (KHTML, like Gecko) Version/5.1 Mobile/9A334 Safari/7534.48.3",
      "event_name": "SubscriptionTest",
      "origination_ip": "104.219.46.66",
      "currency": "USD",
      "event_data": {
          "id": "123",
          "name": "Skis",
          "sum": 150
          }
      },
  "action": "event",
  "kochava_app_id": "<APP GUID HERE>",
     "kochava_device_id": "<CUSTOM VALUE>"
}

Use cases

Here are some practical use cases for setting up a Kochava webhook with Meiro Events:

• Real-time data: Receive immediate notifications of purchases, allowing you to enrich customer profiles in CDP in real time.
• Insights to customer profiles: Gathering information on customer engagement, specifically related to the "Add to Wishlist" event, offers invaluable insights into user preferences and interests. For example, this data allows segmentation based on preferred wishlist items, enabling personalized marketing campaigns aligned with users' wishlist activity.