Shopper Experience: The Benefits of Customer Analytics and Data for the Edtech industry
Author: Haris Saeed
Source: Customer Think
Education businesses are under immense pressure to deliver on promised results in an increasingly competitive landscape. Failure to provide the results that customers want will lead to clients choosing other rivals that are available online. This is why the Edtech industry must begin to explore and utilize customer data through analytical processes. Used the right way, customer data can provide startling benefits in this industry for both the individual business and the students themselves.
By harnessing the data, businesses are able to make predictions to drive their business forward and ensure that they are delivering the best standard of service to their students.
Driving Enrollments And Targeting New Students
One of the biggest benefits of using customer data and analytics is that you can learn more about who they are and who you should be targeting. Educational organizations have already started to unlock the power of using data in this way.
For instance, you can explore data of classes and students that have graduated or completed service. Specifically, you can examine satisfaction levels. You’ll then be able to find out which services offered provided the highest level of satisfaction and where you are excelling. Businesses will also be able to ascertain where they need to make improvements. You will also be able to make sure that you are providing the right solutions that customers and students want. This can improve interest in the business, retention rates and levels of success.
A Tailored Solution
One of the main selling points of Edtech for customers is the level of versatility and flexibility that this provides. Certainly, this is apparent when exploring how to use customer analytics and big data effectively. Customers are able to get the curriculum that they require online. It all starts with inputting crucial data based on what they need and what they want to achieve. Based on the data they provide and the data from previous clients, the company is able to plan the right course and partner them with a tutor that matches their requirements. This level of personalization is only possible due to the capabilities that data analysis allows. This is why we are seeing a growth of online learning platforms that are attracting investment in the millions as investors see the potential in integrating data led methods with traditional learning.
Of course, this level of personalization and a comprehensive, tailored approach will also help businesses reach greater levels of academic achievement with their students and customers.
Making Data Accessible To Students
Once customer student data has been built up and accumulated, businesses can utilize it in a variety of different ways. For instance, they can provide it to customers to enhance and improve their experience, offering them fresh ways to learn. Online learning will often involve real-time video interactions between tutors and students. The videos can be saved and viewed multiple times by the students if they include useful or interesting information.
With data analytics, it’s possible to explore which learning sessions are providing the best results, and where a student is struggling. You could, theoretically, explore whether there is a correlation between different tutors, teaching methods and learning content that result in higher test scores. You could then use this data to recommend what areas of study a student needs to improve on, and the best way to achieve this. The same process and strategy could be utilized for a variety of different learning content and media formats from test papers to slide show presentations. Big data provides the option to explore and view patterns that could lead to improvements for groups of students rather than the individual.
You can even use the same type of processes to analyze customer or student behavior. You will then be able to determine positive and negative behavioral traits within the learning process. Universities have already begun to adopt strategies like this when crafting the right courses.
Ultimately, the use of data will provide a radical shift in how students learn and offer a more personalized solution that tackles key pain points of the industry. It will ensure that students are able to become more reflective of what they are learning and how they are learning it. This will ensure that efficiency levels will improve for both the student and the business model as a whole.
It will even help businesses identify the best formats and strategies for learning. Are PowerPoints and slideshows effective or is a podcast format more likely to deliver the support customers require? This is just one example of the type of question that could be answered through customer analytics and data explorations within this industry. It can improve engagement and ensure that students are able to unlock the maximum potential of the e-learning experience.