Let's say a user visited an online store, looked at several products, but did not buy anything. However, in the process, he added the product to the cart and returned to the site a few days later. These actions may be a signal that the user is interested in the product, but for some reason postponed the purchase. This is an example of implicit conversion.
Historical context
emerged with the development of digital marketing and analytics. Previously, when taiwan consumer mobile number list businesses relied solely on traditional marketing channels, companies could only track explicit conversions, such as purchases and completed forms. However, with the advent of the Internet and social media, there were many indirect signs of interest in a product that could not be immediately interpreted as conversions.
The use of data and analytics has become a key element for marketers. User behavior tracking and analysis platforms like Google Analytics have helped to reveal that even if a purchase does not occur, other actions may be indicators of potential interest. Therefore, the term “implicit conversion” was coined to refer to these complex and meaningful interactions.
Practical application
For businesses and marketers, understanding implicit conversion is of great importance. It is not always possible to immediately get direct profit from each visitor, but it is important to predict which of them are likely to return and complete a purchase in the future. Here are some examples of how implicit conversions can be used:
User Path Analysis