How Deep Learning Will Drive The Future of Marketing

1. Deep learning is a subcategory of a much broader concept – machine learning. It involves the construction and use of neural networks in a way that mimics the human brain – meaning it learns and develops strategies for itself based on a continuous flow of new information. Like the human brain, deep learning improves every time something is done, however, deep learning can perform more calculations in milliseconds than a human can in a lifetime! Deep learning, therefore, allows us to process huge volumes of data in a very short amount of time. Already, artificial intelligence in various forms supports the decision engines of many marketing programs, including optimized advertising rates, analysis of online consumer behavior, and natural language processing. Recommended To Read: 10 Ways To Use Artificial Intelligence In Marketing Today, technology can support marketers in most of their daily tasks and perform their previous work much faster and more accurately. Freed from repetitive tasks, salespeople can focus on more creative and demanding aspects of their work.

2. Deep Learning Applies To Marketing So deep learning makes more complex tasks possible and can automate decisions that previously only a human could process. How can we use this in a marketing context? There are many different marketing applications of Deep Learning , some of which you may already be using. Although deep learning and neural networks are complex (and they are!) you don't need to worry about how they work - the software is coded to do its job and make your life easier. Some examples of deep learning in practice: ● Real-Time Bidding (RTB) software for buying ad space ● Chatbots that use natural language processing (NLP) to chat with customers in a 'human' way ● Automatic translation to create different language versions of your website ● Automatically generated copy based on the style of another text ● Automatic image captions ● Speech recognition for voice search ● Many marketing automation solutions and customer interaction tools already use some of these deep learning applications, and it will become a more standard aspect of marketing software as the technology advances. Recommended To Read: Cost to develop on-demand social media Apps Should You Use Deep Learning In Your Business? Deep learning for marketing can be leveraged by any type of business. Whether you are a digital marketer, run an e-commerce store, or own a brick-and-mortar business, deep learning provides valuable insights.

3. When you can better understand and respond to current and potential clients, you'll keep them coming back. Here are some ways you can use deep learning: ● Make your pricing structure more dynamic in some cases for maximum flexibility based on specific customer interactions and marketing incentives ● Create heat maps of where your customers take the most action on your website ● Create value models for a customer's lifetime, which helps predict how much a particular customer will spend with you in the future ● Track time for your team, predict each person's future work patterns based on past behavior ● Segment your customers based on where they are in the buying process to more appropriately communicate with them ● Classify images for processing ● Make hyper-personalized recommendations to your customers to deliver experiences customized to their needs ● Use churn modeling to predict which of your customers might leave your brand ● Build better algorithms to make your business work better for you and your customers ● Manage claims, detect potential fraud, improve security and more ● Conduct deeper, more detailed research and analysis ● Deep learning for marketing tools can help you make full use of the consumer data you collect. And the beauty of it is that you don't need to start with complicated tools to see positive effects. Recommended To Read: Top Use-Cases for Computer Vision in Manufacturing The Future Of Deep Learning In Mmarketing Artificial intelligence is a rapidly changing and evolving field, and we can expect many new opportunities and marketing software to appear in the next few years.

4. One area where AI has the potential to outperform human marketers is SEO. SEO is a data-driven exercise and search engines use their own algorithms to determine the order in which websites should be placed on their results pages, making it a natural fit for the technique. Automatic website generation software that adjusts design and content in real-time to optimize for SEO is already available. Not only is it more efficient than manually testing and experimenting, but websites can automatically adjust for algorithm updates without the time and resources required of a human SEO expert. Recommended To Read: Artificial Intelligence in Retail Market Google is investing heavily in deep learning and has already released cloud software that allows you to build your own deep learning software without the need for expert software engineers. As AI becomes more complex and powerful, it's a sign that it's becoming more accessible to benefit anyone. Wrap it up Deep learning for marketing can help your business target customers and provide a more personalized experience. AI tools collect important consumer data that helps your business optimize the buyer's journey at every step. No matter how you use it, deep learning can strengthen your business and help you make better decisions for the future.