Hackle places great emphasis on tracking unique users for data analytics and experimentation. Tracking unique users on a page, website, or app is trickier said than done.
For example, a user identifier can be the membership or user device number.
In order to obtain accurate results, Hackle uses a combination of different user identifiers in order to identify a unique user.
A very important value to identify individual users who use software, website, or any type of digital service.
This value must be unique without duplicates.
Both A/B tests and data analytics tools provided by Hackle are based on gaining insights on compiled user behavior data. Therefore, it is essential to distinguish between different individual users who access and use the service.
Here is an example of the importance of user identifiers in e-commerce services. Let's say there's 1. Amy, who searches for a product and buys the products exposed at the very top of the page, 2. Becky, who buys the product after surfing around, and finally 3. Chris, who goes straight to his wishlist and buys the product from the wishlist right away.
We can see here that Amy, Becky, and Chris all have different purchase journeys. Amy will be the most affected user when changes are made to the Search UI/UX, but Chris will be the most affected person when changes are made to the Wishlist UI/UX. However, if, by chance, an error occurs and it is not possible to distinguish between the users, Amy and Chris, the resulting data obtained from our A/B test and user funnel analysis will be misleading.
Therefore, in order to measure the metric correctly, the criteria for identifying a single 'user' exposed to the A/B test must be clear. This is because it is critical to clearly identify who a particular user is in order to accurately calculate different data and metrics that are set in the A/B test which correspond to that specific user's decision-making process. By making sure to distinguish the right user, we can gain insights such as the resulting purchase amount, search rate, and the number of views based on the same user's history of purchase, search, and product inquiry.
This article describes how to send user IDs from your website or app after generating the user IDs. There are multiple different types of methods to identify your users on Hackle.
Although various user identifiers can be sent to Hackle, the default user identifier 'ID' is the user identifier required in order to track users for all of Hackle's services (A/B testing, feature flags, data analysis, etc.). If you are using the Hackle service for the first time, you can send your preferred type of user identification to the 'ID' that is suitable for your service.
You can also send additional user identifiers or user IDs other than the default 'ID'. The are two types of additional user identifiers or IDs you can send are defined below for "Hackle IDs" and customizable identifier types. These additional user identifiers can only be used in A/B testing and cannot be used in other Hackle functions (feature flags, data analysis, etc.).
Why did we create the "Hackle ID"?
Consider the following scenario:
In the case of a commerce service, users may browse products without logging in, be required to be logged in only at the purchase stage, or even be allowed to conduct non-login purchases. In this case, non-login users are unidentifiable because they do not have a membership number (User ID). Instead, non-login users can be classified by device information (Device ID), but if the user changes their device from a mobile phone to a PC, the device information (Device ID) will change and Hackle will assume the same user as two different users.
To prevent the above situation, it is recommended to transmit both User ID and Device ID. When the User ID and Device ID are transmitted, a 'Hackle ID' is created by combining the two pieces of information to accurately identify the same user.
- User ID: is a unique identifier used to log in to a website or app and can uniquely identify a user within the service. However, User ID cannot be tracked with users on non-log-in services.
- Device ID: is a unique identifier of a device such as a mobile phone, PC, or tablet that users use when using the service. Device ID can be tracked for non-login users as well.
Find out more about Hackle IDs from the following document Hackle ID.
This is the user identifier that you have defined directly for your specific service. For example, in online commerce, you can use Session ID, order number, etc. However, you cannot use these customizable identifier types for setting up the Hackle ID.
Note when using Ad IDs (GAID, IDFA)
You must follow Google and Apple's policies when collecting these IDs. It is also important to note that the ad ID can be reset by the user.
Please refer to the link below for each company's policy.
Guidelines on Google Ad IDs
Apple's User Privacy and Data Usage Guide
A sample code for creating user identifiers based on cookie values is provided at the bottom of the Sample SDK Integration document.
Updated 4 months ago