Tag Archives: Psychographic

How the Internet of Behaviors Will Shape the Future of Digital Marketing

In the digital age, businesses need to leverage every possible platform and cutting-edge technology in order to get a leg up on the competition. We’ve covered the Internet of Things extensively on the Mystic Media blog, but a new and related tech trend is making waves. This trend is called the Internet of Behaviors and according to Gartner, about 40% of people will have their behavior tracked by the IoB globally by 2023.

WHAT IS THE IOB?

Internet of Behavior, or the IoB, exists at the intersection of technology, data analytics, and behavioral science. The IoB leverages data collected from a variety of sources, including online activities, social media, wearable devices, commercial transactions and IoT devices, in order to deliver insights related to consumers and purchasing behavior.

With devices more interconnected than ever, the IoB tracks, gathers, combines and interprets massive data sets so that businesses can better understand their consumers. Businesses leverage analysis from the IoB to offer more personalized marketing with the goal of influencing consumer decision making.

HOW DOES IT WORK?

Traditionally, a car insurance company would analyze a customer’s driving history in order to determine if they are a good or bad driver. However, in today’s digital age, they might take it a step further and analyze social media profiles in order to “predict” whether a customer is a safe driver. Imagine what insights they could gather from a user’s Google search history or Amazon purchases? Access to large datasets enables large companies to create psychographic profiles and gather an enhanced understanding of their customer base.

Businesses can use the IoB for more than just purchasing decisions. UX designers can leverage insights to deliver more effective customer experiences. Large companies such as Ford are designing autonomous vehicles that change based on the city, modulating behavior based on vehicle traffic, pedestrians, bicycles and more.

GBKSOFT created a mobile application that collects data from wearable devices in order to help golfers improve their skills. The application records each golf ball hit, including the stroke, force, trajectory and angle, and delivers visual recommendations to improve their swing and technique. Insights gathered through data are translated into behavioral trends that are then converted into recommendations to improve the user’s game.

The IoB is all about collecting data that can be translated into behavior which helps companies understand consumer tendencies and translate them into meaningful actions.

CONCERNS

While there is quite a bit of enthusiasm surrounding the potential impact of the IoB for B2C companies, a number of legal concerns come with it. A New York Times article, written by Harvard Business School emeritus professor Shoshana Zuboff, warns of the age of surveillance capitalism where tech behemoths surveil humans with the intent to control their behavior.

Due to the speed at which technology and the ability to collect data has proliferated, privacy and data security are under-regulated and major concerns for consumers. For example, Facebook was applying facial recognition scans in advance of the 2016 election without user’s consent. Cambridge Analytica’s use of psychoanalytic profiles has been the subject of much derision. Momentum for data privacy regulation is growing and since the IoB hinges on the ability for companies to collect and market data, forthcoming regulations could inhibit its impact.

CONCLUSION

Despite regulatory concerns, the IoB is a sector that we expect to see grow over time. As the IoT generates big data and AI evolves to learn how to parse through and analyze it, it’s only natural that companies will take the next step to leverage analysis to enhance their understanding of their customers’ behaviors and use it to their advantage. The IoB is where that next step will take place.

How Artificial Intelligence Has Revolutionized Digital Marketing

Last week, we explored the real power of Artificial Intelligence. AI’s ability to comprehend complex data sets and form patterns enables infinite new possibilities for personalization through the analysis of digital activity. Within the digital marketing industry, AI has been nothing short of a revolution. Here are the top ways in which Artificial Intelligence is impacting digital marketing:

NATURAL LANGUAGE PROCESSING

Natural Language Processing (NLP) is a field that focuses on the ability for computers to process human language to the point where it can generate replies based on inferred meaning. Machine Learning has sharply increased the ability for machines to generate sentiments designed to not only seem as if they were written by a human, but that are optimized based on data to elicit a specific action or emotional response.

Digital marketers fret over when to reach out, what to say, and what channel is most appropriate. AI’s NLP abilities mean that the guessing game has come to an end. AI can analyze big data to decide upon what the best method, channel, and timing will be in order to foster growth, engagement, and sales.

NLP as a trend is on the rise. Angel.co recently valued the average NLP start-up at $4.8 million.

SEARCH FILTERING

In days of yore, Google search rankings were determined by human-created metrics and social media feeds showed posts in chronological order. Now, programs like RankBrain are vital to deciding the criteria for Google’s search rankings while Facebook’s DeepText creates your newsfeed.

ADVERTISING

Artificial Intelligence drives programmatic purchasing, which is when AI determines who to show ads to and when to show them. Removing the burden of purchasing analysis leaves marketers room to focus on crafting powerful messages.

NLP enables AI to understand (through numbers and sentiment analysis) the abstract criterion of “context” and to match individuals with ads based on context to maximize the chances of generating a click or purchase.

According to Ad Exchange, programmatic purchasing accounted for 67% of all global display ads in 2017.

PSYCHOGRAPHIC PROFILES

Perhaps the most anxiety-inducing example of Artificial Intelligence impacts not only digital marketing, but politics.

Psychographic profiles are data-driven psychological profiles of consumers designed to shed light on why they do what they do. Firms like CaliberMind and Cambridge Analytica have turned this into a multi-million dollar industry. Insights gleaned from psychographic profiles are intended to optimize the messaging of both political and commercial ads to induce a desired action from the viewer.

Cambridge Analytica has taken credit for influencing both the Brexit vote and the 2016 presidential election; however, many (including the New York Times) cast a shadow of doubt over the extent of their impact. Regardless, as long as there are insights to be gleaned from digital activity, psychographic profiles will only continue to develop.

SELF-DESIGNING WEBSITES

That’s right, AI has become adept enough to design websites based on data. Wix ADI created this personal trainer’s website and Grid has been designing websites since 2014.

CONCLUSION

Every application of artificial intelligence in digital marketing is relatively new. While these applications are increasing in popularity, expect them to also increase in efficiency and effectiveness as technology continuously advances.