The global big data market is projected to hit $92.2 billion by 2026, and it's anticipated to rise at a rate of 14.4 percent every year.
Today, data is more important than ever. Data helps businesses to sharpen their focus and make sound decisions, especially when entering new markets.
With big data, marketers and businesses can reach and engage their customers in ways that were never possible before. You need embrace and leverage analytics to ensure personalized customer service.
Is big data for customer relations still a buzzword for you? And you're not exactly sure what it means?
Allow me to share some straightforward tips for using big data to improve customer experience and service.
1. Helps to Learn Your Target Audience
Today, companies are spending millions of dollars just to learn more about their customers. Does it feel absurd? It won't when you reap the benefits.
As a chief marketing officer (CMO), this is a significant advantage of big data to consider. With the data, you can learn and understand your customers and prospects to streamline your marketing strategies.
It's essential to take the time to learn customers, help identify their pain points and determine ways to eliminate them once and for all.
Customer data provides extremely useful insights into the needs and behavior of your clients. As a result, CMOs can ensure their prescriptive marketing integrates customer's knowledge with their activity patterns to get a complete picture of your audience.
2. Improved Customer Service Interactions
Employing big data is a hot ticket to ensuring an effective product and marketing development strategy that works for your business. But using it to enhance customer service is taking it to a whole new level.
With big data easily accessible to your customer representatives, it becomes more efficient and easy to interact with clients when they reach out via call or chat.
This eliminates the need for customer care agents to ask the customers unnecessary questions because they already know them.
It also works great if you have multiple channels customers can use to contact you. The big data tools provide in-depth customer data to improve every interaction.
For example, a speech analytic tool can extract data and information from live-recording interactions between customer agents and customers to help you understand your customers even better.
3. Predict the Needs and Wants of Customers
Imagine a scenario where a store owner wraps and packs your desired order before you even ask for it. Wouldn't that be great?
Well, big data equips your business with tools and information to attain such customer relations. With the right predictive tools and insights, you can know what your customers want before they ask for it.
Companies store a lot of information on customers, including where they live, social media interactions with the brand, customer service interactions, and websites they visit.
The information can be seemingly unrelated, but companies can use it to understand customers needs. This way, you can promote the right products to customers on the right channel.
Ultimately, you're making things a lot easier for them which in cultivates better relations and improves customer satisfaction.
Customer Relations - The Bottom Line
Now that you have a better understanding of big data, you can use it to help improve customer service.
However, big data is not beneficial to you per se. It requires a lot of work to mine the data and filter out what's important. Only then you can put the data to use and draw relevant insights from analysis.
Generally, effective use of big data helps to target and retarget the right audience while ensuring personalized customer relations.
Have questions? We're here to help you.