Payment Card Analytics: Learn more about your customers with every swipe and tap | marketing analytics company
The U.S. payment card (credit card, check card) market is expected to see solid growth. Forecasts show that card payments are expected to grow at an impressive 20.9% per annum from 2023 to 2030, resulting in a significant influx of data. This explosion of data has the potential to provide multifaceted benefits to online retailers. Let’s take a look at the pivotal role data analytics plays.
Customer Segmentation: A Valuable Strategy
Customer segmentation is a valuable strategy that allows businesses to analyze and understand their customer base by considering a variety of factors, including payment card usage, spending habits, demographics, psychographics, and more. In this process, data obtained from payment processors plays an important role. Companies can easily distinguish between premium and regular customers by using information from payment processors at the card level, such as classic, gold, platinum, and premium.
For example, in the card pictured above, 541275 (the first 6 digits) refers to the issuer identification number and belongs to the type of prepaid card issued by Capital One. Payment processors such as PayPal, PayU, Braintree, etc. collect this information and share it with the e-retailer.
This segmentation approach allows companies to more effectively target specific customer groups, allowing them to develop personalized marketing campaigns and tailor products or services to better meet the unique needs and preferences of each segment. By gaining a deeper understanding of their customers, companies can increase customer satisfaction, build stronger relationships, and drive overall growth.
Benefit Areas for E-Retail Business
Areas where e-retail companies can benefit from analytics and segmentation using payment card data include:
Analyze customer behavior to improve business strategy
Customizing your marketing strategy through customer segmentation helps you drive revenue growth by targeting customers based on their behavior and increasing sales. By understanding when and how customers respond best to purchases, businesses can optimize their marketing efforts and make informed decisions about product and service design and targeted promotions.
Analyzing customer behavior can help you pinpoint product-related sales slowdowns. Adapting your strategy to customer preferences will increase sales and satisfaction. This highlights the role of understanding behavior in marketing. Business owners need to understand customer needs and market trends to anticipate challenges and opportunities. Monitoring performance and analyzing your marketing can provide insight into strategic adjustments that are important for effective business management.
Create customized solutions and recommendations through data analysis
Analyzing payment card purchase data can provide insight into customer interests. Addressing these needs will improve engagement and drive business growth. For example, retailers recommend products based on purchase history, while service providers personalize communications based on preferences. Providing personalized service to individuals builds strong relationships and positive customer experiences.
Personalization is key in today’s business environment. Analytics can help you discover new ways to personalize products, strengthening customer relationships and increasing loyalty. Analyzing the activity of payment card customers can reveal their location. Location-based promotions can drive sales by targeting customers at the right time and place. For example, a retailer could offer a discount on winter coats to customers in cold regions when the weather begins to change. By leveraging data in this way, businesses can improve their marketing efforts and drive sales.
Expand customer base using trends and patterns
Identifying purchasing patterns can guide businesses to target new customers through predictive analysis of market trends. For example, if customers in a particular region continue to purchase green products, a company may expect this trend to continue and adjust its marketing and product offerings accordingly. By leveraging predictive analytics to determine how prospects will react, businesses can stay ahead of the competition and drive growth.
Detect potential fraudulent activity
The use of payment card data is becoming increasingly important in detecting and preventing fraudulent activity. By applying artificial intelligence, this data can be quickly analyzed to identify irregular purchasing patterns.
Here is a real example: By comparing a customer’s current purchasing behavior to their previous activity, payment processors can easily spot unusual transactions that could indicate potential fraud. For example, if a customer makes a purchase outside of their usual geographic location or price range, a payment card processor may flag this activity as possible fraud. By leveraging these analytical tools, businesses can avoid significant financial losses.
conclusion
To maximize profits and enhance customer service, e-tailers need to leverage analytics tools to analyze, forecast and strategize at every stage of the customer lifecycle. The enormous potential and research capabilities of payment card data provide e-retail companies with a tremendous competitive advantage. Therefore, companies are encouraged to thoroughly research these analytics to gain a comprehensive understanding of their implications.
But to make the most of these insights, it’s important to take action based on the analysis. This allows businesses to stay ahead and leverage the powerful capabilities of these tools to drive growth and success.