Boost Commercial Success Through Data-Driven Customer Analytics
Analyze data using industry-standard metrics to create successful customer interactions and increase customer retention rate.
Understand customer behaviors, buying habits, patterns, lifestyle preferences to accurately forecast their buying behaviors in the future and be more successful in providing them with relevant offers with an increased chance of conversion.
Analyze the customer health to check if the customer has increased, retained or decreased business transactions.
Track customers by looking at their product or service value refunds and discounts received over YoY, QoQ, and MoM to identify the flaws in it and optimize the benefit-cost ratio.
Monitor crucial pricing data to check the ratio between increase in prices to the buying frequency of customers to optimize product or service pricing structure under consideration of customer’s industry and make it more customer-oriented.
Measure the efforts that account executives of different branches are putting in to optimize relations with customers, increase customer satisfaction, bringing new customers, resolving customer problems, and providing lifetime value to clients.
Track logical customer analytics sales data to analyze sales volume and patterns to determine and forecast the increase or decrease in sales spikes of customers.
Identify the shift in buying preferences of customers and determine the number of recurring customers that bring a predicable income stream as well as non-recurring customers who contribute to the business revenue stream.
Check the percentage of business engagement with customers on a monthly, quarterly, or yearly basis to improve business-client relationship in the long-term.
Examine the customer support channels to analyze support quality and an opportunity to interact with customer to hear feedback and optimize customer service.
Business leaders say that delivering a relevant and reliable customer experience is critical to their company’s overall business performance today, and 93% agree that it will be 2 years from now.
In an Econsultancy and Adobe survey of client-side marketers worldwide, respondents (65%) said improving data analysis capabilities to better understand customer experience requirements was the most important internal factor in delivering a great future customer experience.
The top needs for improving customer experience personalization are more real-time insights, gathering more customer data (40%), and greater analysis of customer data (38%).
Marketers worldwide say their primary challenge in executing a data-driven customer experience strategy is a fragmented system to deliver a unified view of the customer experience across touchpoints, followed by silos of customer data that remain inaccessible across the entire organization (30%).