Deep learning’s promise to the marketing sector


By Naveen Joshi  |  June 27, 2018
Naveen Joshi is founder and CEO of Allerin, which develops engineering and technology solutions focused on optimal customer experiences


Deep learning for marketers enables them to connect with the right customer, offer the right products, and design smarter campaigns.  


The deep learning market is expected to reach 18.16 billion U.S.D. by 2023 from 3.18 billion U.S.D. in 2018. Due to its state-of-the-art applications, deep learning is experiencing a rapid increase in its application across various industries. 

The marketing industry is one of those sectors that is embracing deep learning for a holistic improvement. As a result, deep learning for marketers means the application of the technology in areas of advertising, customer engagement, marketing, and delivery, to name a few. If you’re a marketer, your prime focus will be your customers, right? You would also then know that keeping your customers happy will enable you to stay relevant in this field of growing competition. So, where does deep learning come in here? Deep learning for marketers helps build a good bond with the audience and provides a completely different experience of selling and buying products. And this is just one aspect of deep learning in the marketing sector. The scope of deep learning in marketing is tremendous. Dive in to know more. 

What deep learning for marketers means


Deep Learning..

One of the biggest challenges for marketers is searching for the right customer who is willing to buy their product. Remember the time when marketers had to limit their campaigns to ads on radios, TVs, or billboards? Deep learning is completely transforming the way marketers advertise their products and services.

We, as a customer, knowingly or unknowingly, generate large volumes of data from multiple sources, such as on social media platforms. Deep learning software analyzes a significant amount of data. Marketers gain insights on: 

  • people who are in search of their product 
  • people who are looking for a product similar to theirs 
  • people who recently bought a similar product. 

Marketers can then strategize for the future, using such insights. They can then understand the customer’s behavioral patterns, determine the customer’s preferences, send relevant discount offers or coupons to their targets, set marketing goals, analyze market trends, and so on. 

What deep learning in marketing looks like

Chatbots are a quintessential example of what deep learning in marketing looks like. Chatbots offer 24/7 assistance to customers on behalf of marketers. Chatbots offer numerous benefits, like recommending products to customers, selling products and services, engaging with customers to know them better, and initiating comfortable payment systems. A fine example of chatbots in marketing is the Motion.AI. This chatbot builder allows marketers to build personalized chatbots that will provide assistance based on their needs. 

Deep learning, when clubbed with IoT, offers marketers a new way to understand their customers. The smart devices or the IoT-connected devices embedded with sensors, undoubtedly generate a large volume of data. Deep learning has endless opportunities in the marketing sector, and it promises the industry pioneering innovation shortly.