It’s great information about a customer’s shopping habits. And it’s collected every time someone orders a product online or visits a restaurant, for example. Let’s think about convenience stores for a moment. Their owners can watch how their customers shop, what they buy, and how often they come into the store. They know their customers by name, and they probably know their children's names and birthdays. These business owners already know when to buy the hottest items because they know their customers’ buying habits. Now imagine collecting that kind of information, but on a much larger scale.
It’s quite complex. That’s why online and retail store owners indian whatsapp numbers need better ways to track customer behavior. This is where data collection technologies come in to help them understand how consumers shop and why they make purchasing decisions. Why should you collect consumer behavior data? First of all, to understand how your customers behave, you need to create a complete picture of the customer journey. Start by understanding the types of factors that influence purchasing behavior. We all know that broadcast media and social media channels bombard consumers with digital marketing, branding, and content marketing messages to influence consumers.
However, often times, consumers make decisions based on recommendations or suggestions from their peers, family, or simply their likes and dislikes. This brings us to the main point. Collecting data about individual consumers, how they make decisions, and why they buy their products will help marketers create more satisfying shopping experiences. And trust us: a lot of it has to do with personalization. Here are some stats. 75% of Netflix viewer activity is driven by recommendations, and 35% of Amazon’s revenue is generated by its recommendation engine. Impressive, don’t you agree? Consumers are obsessed with technology and constantly demand personalized experiences across all communication channels.
