Data analytics enables apps to track and analyze customer preferences, feedback, and past orders. This data helps in offering customized and personalized recommendations, making customers feel valued and increasing repeat business. Additionally, data analytics can be used to provide better experiences, such as recommending dishes based on weather conditions and offering exclusive deals to loyal customers.

Data analytics allows companies to measure their performance and customer satisfaction over time through promotions, deals, ratings, and reviews. Analyzing customer behaviour and feedback helps respond to customer needs effectively. Additionally, data analytics helps identify and address issues such as delivery delays or problems with specific restaurant chains.

Data analytics helps create targeted marketing campaigns by identifying patterns from social media activities and customer feedback. This data enables the design of marketing materials without the need for extensive market research. Some apps also use machine learning to analyze customer interactions with campaigns and improve future marketing efforts.

Big data analytics assists delivery drivers in optimizing their deliveries by providing the fastest and most fuel-efficient routes and suggesting parking spots. Apps can also use data analytics to determine whether an order is from a location outside their usual service area, enabling drivers to make informed decisions on accepting or declining the order, leading to more efficient delivery plans.