Our team found out that the client, though an Adobe Experience Cloud user, wasn’t using the technology to its full potential to market its products. So we helped them scale up their sales by building a product recommendation engine on the websites using Adobe Target to drive customers’ interest.
We implemented Adobe Target on the product pages of all three sites, enabling artificial intelligence (AI)-driven algorithms to automatically generate product recommendations for the client’s customers throughout their journey, converting casual visitors into paying customers. Its test and optimization features help the client understand their customers better, anticipate their needs, identify the right offer or product for each of them, and make engaging recommendations.
Besides, Adobe Target was also integrated with the websites’ chatbots (server-side, 247.ai) to enable product recommendations over chats. The integration enabled the customers to interact with the chatbot to get product recommendations based on their selections related to gender, product, color preference, etc.
To enable proper functionality of the product recommendation engine, we also integrated the client’s websites with Adobe Analytics, which serves as a unified platform for the client, to manage all customer data and product recommendations related to these websites. Besides, these websites are also integrated with Google Feed and Adobe Launch for a unified tag management from multiple sources. It made it easy to track the visitors’ behavior in real-time and segment the customers that are returning to the client’s website.
The marketing team is now more in control of product recommendations and is free to present the recommendations on a page, vertically or horizontally. The client now uses website analytics regularly to generate performance reports on product recommendations, helping them maximize the upselling and cross-selling of products.