Proactive Sales Module is an integration tool designed for web stores, shops and shopping carts to provide real-time data analysis on purchase transactions, aimed at boosting sales.
Review: Identify Products Likely Purchased Together
Knowing which products are likely to be purchased together can help online merchants and other companies increase their sales. The Proactive Sales Module is a prime example of how this knowledge can be used to boost business. As an online music shop selling tracks or ringtones, analyzing purchase transactions can be especially beneficial.
The analysis involves examining a list of purchase transactions to uncover associations between purchases and customer behavior. The results are twofold: First, we can predict which products a customer is likely to purchase based on their buying behavior. For example, if a customer purchases tracks 23, 67, and 44, we can predict that they will also be interested in track 17, and even track 86. Second, analyzing purchases made by other customers can be conducted either as a daily task, or even in real-time for a single customer while they are making their purchases on the site.
In practical terms, when a customer buys one track, the script checks which other tracks are usually purchased with it, and displays links to those tracks on a right-side panel, which attracts the customer's attention. The same process is repeated when the customer buys a second track (whether or not it's from the right panel), and so on, until the customer either stops buying or exceeds the knowledge hidden in the purchase transaction data. This approach results in customers finding music tracks that match their interests more easily, and thereby increasing their purchasing frequency.
The Proactive Sales Module is a PHP module that returns analysis results in XML format. This makes it easy to integrate into any online shop or web store. Overall, this is a powerful tool that can help businesses optimize sales by providing valuable insights into customer behavior and purchasing patterns.
Knowing which products are likely to be purchased together can help online merchants and other companies increase their sales. The Proactive Sales Module is a prime example of how this knowledge can be used to boost business. As an online music shop selling tracks or ringtones, analyzing purchase transactions can be especially beneficial.
The analysis involves examining a list of purchase transactions to uncover associations between purchases and customer behavior. The results are twofold: First, we can predict which products a customer is likely to purchase based on their buying behavior. For example, if a customer purchases tracks 23, 67, and 44, we can predict that they will also be interested in track 17, and even track 86. Second, analyzing purchases made by other customers can be conducted either as a daily task, or even in real-time for a single customer while they are making their purchases on the site.
In practical terms, when a customer buys one track, the script checks which other tracks are usually purchased with it, and displays links to those tracks on a right-side panel, which attracts the customer's attention. The same process is repeated when the customer buys a second track (whether or not it's from the right panel), and so on, until the customer either stops buying or exceeds the knowledge hidden in the purchase transaction data. This approach results in customers finding music tracks that match their interests more easily, and thereby increasing their purchasing frequency.
The Proactive Sales Module is a PHP module that returns analysis results in XML format. This makes it easy to integrate into any online shop or web store. Overall, this is a powerful tool that can help businesses optimize sales by providing valuable insights into customer behavior and purchasing patterns.
What's New
Version 1.1: N/A