3 Ways AI Will Affect Digital Marketing Strategy In 2018

Let’s discuss how artificial intelligence will Affect digital marketing strategies. These are some of the potential areas in which AI can broadly drive digital marketing. These possibilities are only in the fetus stage now, but 2018 could be an innovation for digital marketing driven by artificial intelligence.

 1. Customize the user experience to a greater extent:

It is the most crucial area where the AI can enter and create a significant impact. Content is the main important factor for marketing. If you can align content marketing strategy with artificial intelligence, it could be innovative. Customized content campaigns can be carried out based on collected data, such as customer searches, purchase behaviour and interests. The problem is that it can be done for each client or potential client.

Chatbots are another example of AI interference to improve the user experience. Chatbots are programmed to interact with customers based on the data they receive. Traditional chat and text communication will soon give way to a multidimensional communication system with sensory capabilities such as voice and touch. This would personalize the whole experience for the users since they receive the impression of speaking with a real person with the conscience.

Augmented reality, another aspect of artificial intelligence can be exploited to offer consumers an option to see and feel the product before the actual purchase. This would facilitate decision making for clients since they can perceive the product even before buying it. This will stimulate a faster response from the customer and, in turn, increase revenues.

2. Make your decision simpler and easier with predictive marketing

Every time a customer browses the Internet, new data generated and collected for AI analysis. This information may reveal information such as the user’s needs, behaviours and future actions. Based on this information, marketing can be optimized to provide the most relevant information.

This further reduces the sales cycle since the relevant information is delivered to customers in a silver tray. These “predictive” campaigns can significantly reduce customer research on the product and facilitate decision making. As for marketing specialists, they can continue to analyze the buyer through the data and even make the customer return.

3. Use of image recognition to obtain the maximum ROI

Previously, image recognition was limited to identifying isolated objects in an image. But with the AI-enabled software, it is now possible to obtain a detailed description of an image.

Social networks have always been biased towards visual content since tweets with images receive 150 more tweets and publications on Facebook with images receive 2.3 times more participation.

This huge amount of images can be exploited by artificial intelligence to understand the patterns, behaviours and needs of the consumer. The AI software will search images on social networks and compare them with a large image library to draw conclusions.

For example, a snack maker can map your brand against the huge collection of photos on social networks and understand the demographic composition of the buyer, such as age group, gender, etc., and also geographical potentials, as if the snack consumed more on the beach, park, supermarkets, theatres, etc. This will help align marketing strategies to extract the maximum return on investment.

Conclusion

Thanks to the reach of social networks and Big Data, we now know customers better than ever. Artificial intelligence and its associated technologies should bring salespeople and customers closer in the coming years. Customers have a better understanding of a product and marketing specialists have a better understanding of consumers.

With artificial intelligence as a connecting link between them, it would be interesting to see how digital marketing results in 2018.
Thanks,