Real-life learning (RL) is one of the most important and promising areas in machine learning. More and more businesses are taking advantage of the fact that being relevant online is becoming a must. With increased competition and the need to grow, develop, and adapt to remain relevant, businesses of all sizes are seeking ways to improve their customer’s experience (CX).
Recently, we have seen a number of interesting companies take advantage of the fact that the customer is always right, and prove that you can listen to and effectively respond to your customers’ needs and queries. By incorporating real-life learning, businesses can personalize their interactions and provide better value for their customers. In this article, we will discuss the various ways in which real-life learning can be applied in betting to provide a better experience for you, the customer.
Online betting is a relatively new industry with many challenges. One of the biggest challenges is creating an effective user experience. After all, many customers will be competing for your attention, and you need a strategy to ensure they retain your interest.
With personalized recommendations, personalized browsing, and real-time bidding, you can provide a more relevant experience to your customers. The personalized nature of the suggestions means that the content is specifically tailored to their interests, while the real-time bidding ensures that the optimal price is always presented (no more missed out-of-market binges!). Furthermore, with the growth of e-commerce, customers are seeking seamless and convenient experiences when making online purchases. With real-life learning, you can ensure that the experience is truly effortless.
Deep Browsing And Filtering
Deep browsing and filtering enable you to better understand what your customers are looking for, rather than presenting them with a homogeneous set of recommendations. Instead of presenting all of the popular movies, for example, you could offer a curated selection of documentaries, action films, and romantic comedies, as well as ensure that relevant metadata (such as genres, actors, director, and more) are always incorporated into the results. Customers expect to be presented with only the content that is most relevant to them, and you can use real-life learning to ensure that this always happens.
The growth in the use of personal technology and the development of sophisticated analytics has enabled many betting businesses to adopt a data-driven approach to improving the customer experience. In the last few years, we have seen many businesses move away from merely providing odds and statistics towards developing a more personalized experience that tailors content and offers customers incentives based on what they’re looking for.
Customer Relationship Management
CRM, or customer relationship management, is all about developing and maintaining effective relationships with your customers. To achieve this, you need to identify the types of customers you have (including demographic, psychographic, and transactional data), as well as those you’re looking for (analytics, web logs, CRM, and more).
Through CRM, you can gain valuable insights into your customers’ behavior, with new data appearing every day. With this information, you can develop a more personalized approach to engaging with your customers and offer them incentives to keep coming back.
In the same way that real-life learning can be applied to improve the customer experience, virtual training (i.e., training that occurs entirely online) can be used to enhance the skills of your employees. With a virtual trainer, you can effectively deliver training programs for your employees while they’re located wherever they may be, ensuring they always have the necessary skills and knowledge to carry out their tasks.
Additionally, through online collaboration and communication tools, you can give your employees the opportunity to seek input and feedback from team members, effectively increasing their skills and knowledge while lowering operational costs.
With dynamic browsing, the experience of your customers changes according to what they’re looking for. Instead of presenting them with a set of highly specialized, static pages, you can use the metadata associated with the content to build a fully personalized, dynamic experience, always offering the best information and incentives to retain their interest.
In one example, a business provides live scores and updates for major sporting events, so their customers can keep up to date with the latest scores and market movements in real-time. At the same time, they also provide historical data for major sports and competitions, as well as a glossary of terms, so that their customers can understand the language of the sports betting world.
Improved Conversion Rates
Increasingly, we’re seeing businesses apply real-life learning not just to improve the customer experience, but to boost conversion rates. That is, the ability to get people to take a desired action (e.g., make a purchase, fill out a form, subscribe to something, etc.) after experiencing or reading a particular piece of content.
For example, an online storeowner might want to increase their conversion rates for the purchase of luxury goods, so they look into applying a data-driven approach to boost their customers’ experiences with luxury items. Using insights gleaned from analytics and web traffic, they can design a custom experience for wealthy customers that is geared towards encouraging them to make a purchase. The key difference is that, rather than just focusing on what the customer wants, you’re also providing them with content that is most relevant to them.
Similarly, an online marketplace might want to boost the conversion of their B2B customers, so they design a strategy incorporating real-life learning to increase the value that they provide to this audience. The idea is to create a more personalized experience for professionals that will make them want to return for more, and, hopefully, make them into paying customers.
As with all of the topics we’ve covered so far, we have a long way to go before we can fully integrate real-life learning into our approach to digital marketing. The most successful businesses in the future will be those that can continually innovate, evolve, and improve their products and services to stay ahead of the competition.