The gateway to building quality and long-lasting relationships with customers comes down to customer service and the personalization of your offers. But this isn’t possible without a thorough understanding of customer data analytics. Data analytics will support your customer retention marketing strategy by establishing a connection with customers through personalization that will stand the test of time. Here are eight ways data can improve your marketing strategy and how you can retain new and old customers.

1. Data Tells You Which Customers to Keep & How to Keep Them

Data gives businesses valuable information about their customers, which can help develop customer retention strategies. Businesses can filter their customers from most to least valuable based on their purchasing preferences, value, and frequency. One important datum to help businesses take a personal approach to understand this rank is Customer Lifetime Value (CLV). If a high and frequent spender stops shopping or using their store cards, retailers can investigate root causes and create targeted strategies for retention to persuade them to engage.

2. Better Identify Needs of Potential Customers

In addition to improving the experience for existing customers, data can also identify the needs of potential and new customers. Businesses can use data to match products and services with new clients more efficiently. By matching new customers to products that meet their needs immediately, they are more likely to continue giving you their business.

3. Data Helps You Fine Tune Your Message and Promote the Right Products

E-commerce retailers can analyze metrics like purchase habits, product ratings and reviews to distribute individualized messaging to millions of global customers. Data analytics helps brands create stories that are relevant to each of their marketing segments for a more personalized message for each customer. Facilitating targeted marking campaigns will earn a higher Return on Investment (ROI), which is crucial when customers expect more customization from retailers.

4. Reduce Product Proliferation

Many businesses rely on creating newer, better products to attract new customers and retain existing ones, but an overabundance of products can leave customers feeling overwhelmed with too many options. Instead, if businesses can narrow down their offers to what best serves and interests customers, customer loyalty and revenue will increase.

Knowing what best serves and interests customers is quite easy. By analyzing data like customer transactions and inventory turnover, you can compare information and find which products are the most profitable. Taking the time to understand the customers’ needs will give businesses an advantage over their competition.

5. Improve Customer Experience Through Real-Time Data

Social media has made it possible for many businesses to personally connect with their customers, but without a platform like this, how can retailers interact and understand what their customers are thinking? Big Data gives access to real-time data without the need for social media interactions. You can learn what your customers are buying, clicking, and talking about. You can have a continuous conversation with your customers through personalized landing pages, advertisements, and mobile applications.

6. Make Customized Offers

Customers today want to feel unique and special, so if you can customize your offers based on their individual needs you won’t lose them to your competitors. Big Data can gather information from customers such as sex, location, and social data so that you can send unique offers to each one based on their interests and needs or problems.

7. Helps to Identify Key Trends Faster

Decision-makers in retail are always seeking opportunities to assess Key Performance Indicators (KPIs), as this information is crucial to help you identify trends that impact daily operations and connect those results to your customer interactions. With information about KPIs, you can improve forecasting, improve your customer service tactics, and eliminate processes that have negative outcomes.

8. Brings Greater Customer Satisfaction

By collecting data, you can develop a solution for how to measure fulfillment rates and delivery times quickly and efficiently. You can answer important questions such as: how fast are orders being fulfilled? Are deliveries on time? What delays are there while completing deliveries? How often do customers order a second time from you? Analyze important data like these and you’ll be on your way to implementing strategies to increase customer retention.

Let North American Media Provide You with the Data You Need

Customer analytics can improve your marketing strategy by significantly reducing your customer acquisition costs, helping you better understand your customers’ needs, providing you with information to cross-sell and upsell, facilitating sustainable growth, and measuring customer loyalty. A successful customer retention strategy is a two-way street. As you provide offers that appeal to your customers’ interests and needs and show them how much you appreciate their business, you will be rewarded with their loyalty and word-of-mouth advertising. Happy customers are more likely to share their positive experiences with your brand with their friends, co-workers, and family members.

Data helps you take more control of the success of your business by showing you where you need to improve. Customer loyalty programs require customization and expertise, so if you need help setting up your campaign, we can help. At North American Media, we help our clients build strong customer retention strategies. Analyzing data is our specialty. If you need a little extra support in any of these fields, we’re here to help. Our services include print media advertising in newspapers & magazines, direct mail marketing, digital marketing, alternative media/inserts, radio & TV advertising, list brokerage, data solutions, list fulfillment, and list management. Contact us today at (475) 256-0303 for more information.

David Klein