4 Ways How AI Can Augment the Digital Marketer
Ronald van Loon
CEO, Principal Analyst Intelligent World?Helping AI-Driven Companies Generating Success?Top10 AI-Data-IoT-Influencer
As part of my experience, I have had the luxury of observing the way possibilities regarding AI have drastically arisen during the last decade. What many considered unachievable in the past is now certainly achievable and may be out in full flow during the coming future. While there is a lot to talk about, we can all expect the future to be really exciting.
As part of the limitless possibilities of Artificial Intelligence, which is popularly known as AI, I had the experience of attending Adobe’s Symposium in Amsterdam. While the symposium itself was a success and helped highlight the role of AI in the industry, I was pleased to have an opportunity to host VP of Adobe John Mellor right after the ceremony ended.
How Consumer Experience Changes
Although AI and how it could augment digital marketers was the crux of our discussion, we started off with details regarding how customer behavior and experience changes over time and what organizations can do to use that change to their own advantage. John Mellor, who holds a strategic position in Adobe, was of the view that customer experience is ever changing. He mentioned that from sitting at the dinner table to going out with your family in the car, there are numerous derivatives that can define and change your experience.
The challenge this presents for businesses is to place their customer right at the center of their organizational chart. Customers do not care about the people in your organizational chart, nor do they care about your hierarchy. They probably won’t even be aware whether the person they are talking to is from the marketing or the sales department. All they do care about is how much emphasis you and your brand are placing on understanding them and their behavior. Creating the right level of customer satisfaction can only be done with the help of certain methods of intelligence or AI as we call it now.
To explain his point even further, John Mellor gave me the example of his experience with Delta Airlines. Being a frequent traveler, John does most of his commuting across the world through the means of Delta Airlines. Since he travels frequently, he regularly gets numerous updates and alerts from them. The alerts spur a form of communication that was not initiated by him. Interestingly, the alerts are often helpful for him, and he ends up perceiving them as a benefit. If he is sitting in a flight, John gets an alert from the flight attendants that his bag is on board. This information might not be that valuable or informative elsewhere, but the perceived value of this information is high in the scenario, and he is thankful to Delta Airlines for letting him know that his bag is now safely on board.
“This is just example of one enterprise, out of a million other enterprises, that is playing its role in ensuring that the customer experience is enhanced through the use of modern technology.”
John Mellor further emphasized that the new analytics that will be provided through the means of AI and Big Data will change the way enterprises want to personalize with their customers. As a human, personalizing to even an audience of 20 to 30 people can be a hard job, but this job gets even tougher when you have an audience of say a million people to personalize to. This is something that we as humans would not have been able to manage. But nowadays you see websites that personalize brilliantly. They reach out to each and every customer by calling out their names and letting them know that they are of immense importance to them.
Role of ML and AI
The role of ML and AI comes in handy, since they allow enterprises and C-level management the luxury to get enhanced features and profitability from their operations. Customers have reacted well to the changes that have been brought forward through the use of ML and AI. From the added personalization to the example that John quoted above, customers are just in love with their enhanced interaction with most brands.
While the success of AI in increasing interactions between customers and businesses has already been witnessed to a certain extent, the role of AI in augmenting digital marketers is still dubious. Both John Mellor and me had this in mind, so we discussed this in depth and tried to outline four examples as to how AI can augment digital marketers.
Managing the Customer Journey
Managing customer trends is an important part of the journey for every digital marketer. Digital marketers need to know the psyche of customers and understand what the trends are and whether there is any anomaly present in the market. Moreover, the marketer should also know which anomaly is helpful for them or is bad for them. In retrospect, the trends can be evaluated and understood, but AI augments marketers in understanding such trends right during the heat of things. Once an anomaly is found, AI will also suggest a list of reasons behind the anomaly, because this is what these machines are superb at.
Moreover, the system will record all such anomalies and make a graph out of them. These charts show the performance of the marketer and how it was affected by trends. Every up and down within the chart will come with a description regarding why the change transpired.
Personalization at Scale
We talked about this earlier as well, but the ability to personalize at scale is something that will highlight the augmentation of AI towards digital marketers. It is tough for humans to personalize to such audiences, thus an intelligent system is needed to perform the honors.
With the use of AI and ML, you can also personalize your website experience for users. Users come with numerous diverse preferences, so it is insane to develop one single page to cater to all their preferences. Thus by personalizing the page for their preferences through the use of AI, you will have the luxury of creating a personalized web page for all users.
Finding the Right Content
There are over a hundred million assets present on the Internet for users to go through. Your own website might have various pictures, blogs, and a catalog that may not really help people in getting the right results. The aim behind augmentation from AI is to help people search these assets and get to the right results in an efficient way.
The aim with AI is to help users run through hundreds and thousands of images or other search results and get to what they really want.
Creating the Right Content
With the use of AI, digital marketers can know the results of content ideas right at the click of a button. If you are creating infographics, you can easily go through the graphics that best suits your need. If you want to implement changes on a large scale, you can also see these changes before the content goes online. Creating the right content was never as easy as it is now.
With the ease that is currently available for marketers, the main challenge in the future would be to assess the content deemed feasible for posting. Content requirements would change over time, and it is the responsibility of digital marketers to look over it. Read more about the Adobe Symposium here.
If you would like to read more from Ronald van Loon on the possibilities of Big Data and Artificial Intelligence please click “Follow” and connect on LinkedIn, Twitter and YouTube.
4 Ways How buzzword can buzzword the buzzword. There, fixed that for you. And your article is about data science, not AI.
In House Counsel: IP transactions, licensing, digital products and platforms, tech, AI Ops, behavioral marketing, global privacy and security for personal data, video games, virtual assets, MMO persistent worlds
7 年Consumers will be surprised at how customized products and services will become -- addressing individual needs. Yes, we already see customized ads and product recommendations, and ads are by their nature an annoyance mostly. But I think things will become really interesting, in terms of the products and services we want and need, when smart technologies support innovation. I've seen what my AI tech clients are building and it is truly transformative. The Moore's Law-type effect for the AI industry is that engineers are making smart technologies easier for all levels of developers to use in products and services. As smart tech costs come down and ease of use goes up, more developers (with diverse backgrounds) are using smart tech to solve problems that couldn't be solved before.
learning on web, programming. I like. and developing, information system for work, going on.
7 年Nice, I watching, article. Thank you.