The past year has seen a huge shift in how companies and marketers interact with their customers. Shoppers are increasingly using e-commerce sites and social media to make purchases. This means that with every interaction, they leave behind vast data sets—a customer footprint.
For example, let's say you're visiting an online store and you're looking at jewelry. Data analytics tools can identify the colors, styles, designs, and prices you're interested in, and the retailer can use that data to make recommendations for future products and stock up on the right items.
Companies can use customer data to tailor marketing campaigns to e-commerce trends and maximize sales. Let's look at how companies can use data analytics to make data-driven decisions, improve the effectiveness of their marketing strategies, and drive business growth.
Why is data-driven marketing important for eCommerce business?
Thanks to advances in technology, there are rcs data america now many ways to track customer behavior and their impact at every stage of the marketing funnel.
Research shows that 73% of consumers prefer to shop with brands that use their data to create personalized experiences for them, and 60% of consumers are willing to share their data with brands if it improves their shopping experience. These statistics clearly show that customer centricity and personalization should be at the core of business strategies.
For e-commerce businesses, analytics can be the difference between success and failure. Online stores generate a ton of data every day, including order information, marketing KPIs, customer interactions, and more.
Using analytics tools, marketers can see trends and correlations between product choices and gather valuable customer insights about the communities interested in their brand.