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AI Brand Management

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3 Ways to Leverage AI for Brand Management

Author: Rae Stinbach

We’re still just scratching the surface of the potential of artificial intelligence, but AI has already transformed common practices in a variety of industries. Forward-thinking organizations are already looking for ways to integrate more AI into their existing strategies.

In this article, we’ll take a look at three of the most effective ways to use artificial intelligence in order to improve your branding. It can also be a good idea to collaborate with a top digital strategy agency in order to achieve your marketing goals.

Automated Targeting

Digital marketing is all about sending the right message to the right user at the right time. Unfortunately, this is easier said than done—it’s extremely difficult to predict what a given lead will respond to at a particular point in the sales cycle, and these analytics are relatively inefficient when performed manually.

With artificial intelligence, you can easily generate finely grained information about your audience in order to segment leads more narrowly and identify the perfect audience for each message. AI can analyze much larger volumes of data than ordinary humans, and you can use that information to develop better tactics over time.

Customer Experience Optimization

You might think of the customer experience as secondary to prices and product quality, but the vast majority of companies that take steps to improve the customer experience say that it helped them increase revenue.

Customer service is one area where artificial intelligence is already having a clear impact. Rather than having an agent respond to every request, you can start the support funnel with an AI chatbot. These bots can answer basic questions and direct customers to the most relevant resource for more complicated questions, helping you cut costs while offering a more responsive customer experience.

Data Security

The transition to digital solutions has improved efficiency at every level, but it has also dramatically increased the risk of data breaches and other online threats. In fact, the average data breach costs an organization millions of dollars.

Unsurprisingly, firms around the world are already working on AI solutions for cybersecurity. Along with biometrics and other well-known measures, this also includes more cutting-edge projects such as User and Entity Behavior Analytics (UEBA) and Security Information and Event Management (SIEM). It’s impossible to predict what the AI security field will look like in just five or ten years.

Brand management is vital for long-term success in every industry, and organizations that haven’t started using AI will quickly find themselves falling behind the competition. These are just a few of the most important use cases for stakeholders to be aware of in 2021 and beyond.

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