Watch Data StreamCart.com, a company specializing in product feed operations and feed optimization, has integrated artificial intelligence into its feed marketing engine.
This innovation is important for the company and for the industry in general. By integrating AI into the performance of shopping campaigns, digital marketers are able to improve the effectiveness of the methods applied to optimize advertising results, building on the already proven approach of optimized product data flows.
DataFeedWatch recently introduced new AI features that can help marketers improve ROI by increasing the effectiveness of paid search and social campaigns with minimal effort. Jacques van der Wilt, general manager of feed marketing at DataFeedWatch by Cart.com, says this aligns with the company’s vision of developing the best possible feeds with minimal effort.
He points out that feed is crucial in any successful ad campaign and that the majority of digital marketers don’t have enough time or resources to formulate a perfect feed. Integrating AI into DataFeedWatch’s operations is expected to solve this problem by making it possible to create feeds in just a few clicks.
Deciding how best to implement AI optimization tools is one of the key distinctions of DataFeedWatch’s approach. Rather than relying on third-party chatbots, such as ChatGPT, DataFeedWatch has integrated its AI directly into the platform. The company uses its 12 years of product feed optimization expertise, taking into account the specifics of different industries and verticals, to create data structures that are proven to work. For catalogs with thousands of products, this integrated AI solution, available in all DataFeedWatch subscriptions at no additional cost, can save significant time and money.
New AI-powered features include automated data mapping, which simplifies the process of preparing product feeds for channels like Google Shopping. Data is automatically mapped into the appropriate format, reducing the need for manual data mapping and complex rules. The AI engine can also generate optimized product titles and descriptions based on product-specific information. It can learn and optimize for over 200 different product types. Additionally, marketers maintain control by modifying the generated titles and descriptions as needed.
Other useful features include the AI’s ability to fill in blank fields when data is missing. For example, if the size is missing, the AI can automatically fill in those fields. Similarly, the AI can optimize the product category with a single click. This is very useful since there are over 6,000 product categories in Google’s taxonomy list.
Currently, DataFeedWatch offers AI-powered feeds for Google and Facebook in English, with additional channels and languages in development. This is in line with the current trend, as many PPC professionals are eager to integrate AI solutions into their processes. A recent study, “State of PPC Global Report 2024,” based on responses from 1,135 PPC specialists, found that AI for feed management solutions is at the top of their wish list.
Early user feedback has been positive. Jonatan Johansson, CEO of digital agency Est Populo, described how native AI delivers higher-quality results faster, allowing his team to focus on other priority tasks. He added that AI automates the technical and time-consuming aspects of creating and optimizing product feeds.
(Image by Mohamed Hassan)
See also: How to Optimize Your Marketing Strategy with Data-Driven Insights
Want to hear leading global brands discuss topics like this in person? Learn more about Digital Marketing World Forum (#DMWF) Europe, London, North America and Singapore.
