Predict customer buying trends by monitoring current behavior patterns and customer complaints and anticipating what products, services, or updates they’ll need in the future.
Increase customer retention by looking at why customers don’t make a uk db center purchase, when a customer usually churns, and using intelligent insights to learn how to prevent it.
Improve its sales team’s performance by seeing how prospects and customers respond to certain sales tactics and understanding what strategies close the deal best.
Create hyper-personalized marketing campaigns by gathering as much firmographic (company), psychographic, and geographic data as possible on its customers and crafting messaging around that information.
Data insight examples
Now you know what data insights are, why they’re important, and what they can do for your organization, you probably want to know what they might look like. Let’s take a look at a few examples of valuable data insights:
Data: Customers complain that sales reps often take over 72 hours to respond to their messages.
Data insight: You decide your reps should receive training on how to automate and improve response times.
Data: The three days following a weekend sale show the highest sales for your product all year.
Data insight: You conclude that next year, more of your marketing and advertising budget should be allocated to the sale to capitalize on its popularity.
