Prioritizing customer data analytics for your business strategy has become more important than ever. More and more companies are using big data analytics to refine their growth and marketing plans with customer insights, market trends, & predictions.
Gartner’s recent survey revealed that 84% of customer service & support leaders favor using customer data and analytics for achieving business goals. It also stated that more than 80% of respondents see data insights as ‘very important’ for sales, product development, and quality assurance.
Utilizing big data for customer analytics is rewarding for companies, marketers, & growth strategists. But how can they introduce customer data analysis into their business strategy?
This blog is a guide to customer data analytics & how to make the most out of it.
What is Customer Data Analytics?
Customer data analytics is a range of techniques to collect, identify, and analyze valuable data insights for a better understanding of user behavior, likes, & dislikes.
By introducing big data to interpret customer information, companies can determine what their customers need & predict what they may want in the future.
From company owners to sales & marketing experts to customer relationship managers, customer data analytics is the most promising technique used to meet customer demands.
Source by: https://www.bluent.net/blog/how-to-use-customer-data-analytics-to-drive-growth-profitability/
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