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Retailers can improve customer retention with big data strategies

Offering the best products at competitive prices is just one strategy that retailers use to bring in new customers and keep their existing ones coming back. However, this method may not be sustainable if brands aren't providing memorable experiences with personalized interactions. Having some of the most sought after merchandise can only last for a certain amount of time, as changing consumer demands and market conditions create shifts in product preferences. To retain their most valuable consumers, brands should also focus on creating excellent experiences for shoppers both in-stores and online. And one way to accomplish this is to use retail management software solutions to collect, store and analyze essential data points pertaining to patrons.

Customers want to feel valued
To retain consumers, either existing or new, merchants know that their interactions with shoppers are crucial. Conversations with customers need to be personal and engaging, as this is one key factor in what keeps them coming back for future purchases. Fortunately, brands can use information about their patrons to develop tailored loyalty programs as well as personalized interactions to help these individuals feel more appreciated.

Tech Republic reported that merchants will need to put time and effort into creating a strategy that best leverages the data they have about their customers to craft programs and content that can be used to boost sales and foster loyalty. To start, brands may want to determine which individuals are their "best customers," or those patrons who are the most satisfied at the lowest cost, the source explained. Next, analyzing information about this group can identify certain trends and patterns that companies can then use to develop initiatives that cater to these wants and needs.

By following this step, brands can then study other customer groups through big data analysis to find out which methods and approaches will best work for retention.

Other uses for big data
Customer relationship management is not the only retail task that big data can help with. Practical Ecommerce noted that the technology can also give merchants more insight into their inventory processes by analyzing items in stock, popular products and changes in pricing. Additionally, managing fraud is another factor that big data can provide to retailers. The source explained that chargebacks and other related information can be collected and studied to pinpoint areas where fraud is or can occur, giving merchants the chance to prevent these kinds of issues.



130

Countries

9000

Customers

54000

Stores

159000

Points of Sale

130

Countries

9000

Customers

54000

Stores

159000

Points of Sale

130

Countries

9000

Customers

54000

Stores

159000

Points of Sale