Jun 17, 2020

Big Data Business Analytics Mean Better Business Intelligence Statistics

By 2023, 30% of customer service organizations will deliver proactive customer services by using AI-enabled process orchestration and continuous intelligence.1


Think back 20 years ago when you wanted to watch a movie. Chances are you hopped in the car and drove down to your local Blockbuster hoping to snag a copy of the latest new release. Now think about how much the experience— and your expectations—have changed since the advent of Netflix. Today, you can scroll through thousands of movies and TV shows from the comfort of your couch, and even choose from a range of titles selected specifically for you based on your viewing habits.


These types of interactions are raising the bar for customer experiences, and redefining the way consumers want to interact with all brands. They now expect to receive the same level of seamless, personalized service from all companies they interact with, and won’t put up with brands who can’t deliver.


Living up to these high expectations is no problem if you’re a powerhouse like Netflix, Uber or Amazon—but what if you’re not? How can you deliver the level of service that’s on par with the big brands? You can start by using your customer data to its full potential.


91% of consumers are more likely to shop with brands who recognize, remember, and provide relevant offers and recommendations.2


What Your Customer Data Can Do for Digital Marketing


We live in a digital age where customers are willing to share personal information with brands if it means they’ll get personalized service and experiences in return. They want to feel like brands really know them, and have every interaction feel special. Because of these changing dynamics, you’re likely already drowning in valuable customer data, but are most likely not using it to its full potential. In fact, a recent study found only 13 percent of companies can be considered “leaders” in leveraging customer data.3


Instead of letting data go to waste, it’s time to turn it into deeper, more meaningful interactions with your customers. We can help. Combining industry-leading technology with machine learning and predictive analytics, we can ensure your organization delivers a memorable experience from start to finish. Our platform integrates 1st, 2nd, and 3rd party data to build a comprehensive view of your customer, so you can optimize every interaction in real time, and ensure all touchpoints meet (or exceed) expectations.


Whether your customers are actively considering your products, were about to buy but abandoned their journey, have a high repurchase interest, or are on the brink of churning, you’ll have the insight needed to identify their signals and pinpoint where they are in their journey, so you can respond proactively at every touchpoint.


Customer Data Management


Your customers’ previous behavior and interactions can tell you a lot about what they’ll likely do in the future. Our powerful predictive intent engine analyzes all that data (down to the smallest detail) to determine precisely what product is likely to appeal to them, and when. Imagine serving your customers the perfect content the exact moment they’re likely to engage—with our customer acquisition technology, it’s possible. Our AI-powered platforms transform data into decisions at breakneck speeds to create personalized experiences across channels, journeys and devices.

How Customer Data Management Works

Don’t let your valuable customer data go to waste. Use personalized, intent-driven marketing to improve your customer experience and start getting the results you expect.


Contact [24]7.ai to learn more about AI-powered conversational IVR.



  1. Gartner, Improve Customer Experience With Artificial Intelligence, 2019
  2. Accenture, Making it Personal (Pulse Check 2018)
  3. Forbes, Data Versus Goliath: Customer Data Strategies to Disrupt the Disruptors, 2018