By Humanizing Brands With AI, Common Marketing Issues Will Cease

Artificial intelligence is already a part of many strategies

AI can bridge the gap between consumers and brands.
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Historically, many brand-based problems have stemmed from not being human enough. This issue is going to become more complex as people start talking to the smart microwaves and other devices Amazon and other tech companies plan to introduce. While artificial intelligence is here to help consumers, the future winners and losers of marketing will be determined by their AI skills.

According to Adobe, 47 percent of “digitally mature organizations” said they have a defined AI strategy. Also consider that per a recent Deloitte study, 70 percent of businesses rate their digital maturity as “early” or “developing.” Therefore, if you find yourself without a plan, you aren’t behind schedule, though now is the time to act.

A huge first step is to think about what problems AI can solve. A big one—though it may sound counterintuitive at first—is that AI can help your brand feel more real and more human. Here are a few problems it can solve to make that work.

Acting overly transactional

Too often marketing is all about the sale in TV ads, on the radio, in print and in digital ads with retargeting. Even Amazon struggles with the challenge of being too transactional, and the ecommerce giant just began testing a system to make product recommendations more intuitive and helpful rather than simply cross-selling.

Seventy-two percent of business leaders are already terming AI as “a business advantage.”

Financial brands would seem at the highest risk of being too transactional, right? Not TD Ameritrade, which offers an investment bot called Alvi at no cost that allows customers to get personalized care by speaking into the system. AI-powered Alvi asks them personality-minded questions, like, “If you could write a letter to your 17-year-old self, what would you say?” The bot then breaks down the individual according to traits like openness, aggressiveness, neuroticism, conscientiousness and extraversion. Then it provides tailored, investment-based information in an on-demand fashion, an impossible service before AI. When permitted by customers, Alvi also mines their social media accounts for likes and dislikes and decides how to assist them even more intelligently.

On the other end of the consumer spectrum, Stitch Fix uses machine learning to show customers that their fashion interests—not sales—are always top-of-mind for the brand. The online shopping service has around 75 data scientists that employ AI to crunch 85 data points volunteered by customers, including their size or price preference as well as which parts of their bodies they want clothes to emphasize. The brand also has about 3,400 stylists who write notes to customers, addressing their specific situations based on data unearthed by AI.

Creating meaningful relationships

Whether data comes from a phone call, chat session, social media or mobile app, brands can use AI to regularly engage people in timely ways that are new. For instance, working with IBM Watson, Under Armour uses AI to power its app called Record, offering relevant training and lifestyle advice every day. If a male user wakes up after sleeping for just five hours, the app will tell him that the average body mass index is lowest among guys who sleep between seven and eight hours nightly based on the numerous men roughly his age in Under Armour’s database.

The AI also compares the users’ step activity and nutritional data against the larger Under Armour fitness community, helping them understand their level of performance while encouraging optimal fitness results. A brand helping customers become healthier is about as human as it can get.

Wasting budget

Brands have long wrestled with where to invest their ad budget. As marketing pioneer John Wanamaker famously said, “Half the money I spend on advertising is wasted; the trouble is, I don’t know which half.”

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