Kerry Liu, CEO of Rubikloud, discusses how retailers can make the most of their big data insights and create personalized experiences to drive revenue. He touches on specific strategies such as listening to market demands, analyzing patterns, and providing unique promotions and content

Along with the enormous hype surrounding big data comes enormous confusion about how to make the most of it. In other words, businesses are flooded with a wealth of consumer data, but remain unsure how to tap into its potential.

Within big data lies the key to creating a more effective life cycle marketing campaign. However, with so much information at your fingertips, finding and making sense of the right piece is like searching for a needle in a haystack. Though, with the right mechanisms in place, it’s possible to connect miscellaneous data points, give them identities and turn them into story lines. This enables marketers to tailor their offerings to individual customers and their unique shopper profiles. This will, in turn, increase the chances of a consumer buying your product, developing greater customer loyalty, inspiring repeat purchases, and ultimately driving revenue for your company.

Making Data Personal

To funnel your data into personalized marketing insights that will translate into revenue, it’s important to take time to strategize about how you’re going to get the greatest return on your investment.

So, how can marketers make data more useful for their campaigns throughout the customer life cycle? Read the full article on MarTech Advisor.

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