Deep Learning – A Game Changer for Marketing Analytics

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Deep learning is delivering mindblowing outcomes in AI applications. Apple’s Siri translates the human voice into computer understandable commands that allow iPhone users to get answers to their queries, send messages, and navigate their way to and from uncertain locations. Automated driving allows people today to go hands-free on expressways, and it will eventually find its way on city streets. In biology, researchers are developing new molecules for DNA-based pharmaceuticals.

In simple words, different types of organizations will try to utilize the magical powers of deep learning in their own ways. An automaker might use them to approach new customers, reform the buying process, or fine-tune product features a specific set of buyers will crave to buy.

Given all this activity with deep learning, people wonder how the underlying methods will change the future of marketing. To how much extent will deep learning help companies in designing profitable new products and services to meet customer needs?

AI solutions and emerging deep learning technology provide marketers with a deeper knowledge of consumers and prospective clients, allowing them to deliver the right message, to the right person, at the right time.

Marketers can use deep learning to take these profiles a step further, mold marketing campaigns, and create highly personalized content.

The technology and methodology that supports deep learning are becoming increasingly capable of analyzing big data to learn patterns and find deep insights. It isn’t difficult to dream about a day when companies will be able to integrate a wide array of databases to discern what consumers want with greater accuracy and analytical power and then use this information for market advantage. For example, it may not be long before consumers, identified via facial recognition technology while grocery shopping, receive individualized coupons based on their previous purchase behavior.

In the future, advertisements may be custom designed to appeal to consumers with different personalities and buying behaviors and be delivered in real-time as we watch videos on YouTube.

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I'm a Computer Science graduate from Bahria University, a travel enthusiast and CSS aspirant. I create content and write travelogues for the e-syndicate community. My content area includes International Affairs, Traveling, Technology, Climate Change, Aviation, Space Sciences and Science in general.