Saturday, December 4, 2021

Slide
Home Artificial Intelligence How Artificial Intelligence has now become a friend-in-need for Marketing?

How Artificial Intelligence has now become a friend-in-need for Marketing?

Artificial Intelligence Marketing, powered by ML and deep learning techniques is used to predict user’s buying behaviour, next steps, clicks and in giving them overall a better UX and CX.

Jane logged on to her favourite online bookstore and came across the latest book “Klara and the Sun” from Kazuo Ishiguro. She was searching for the same a few days before the release and was delighted that the website suggested the book to her on the day it released. She could buy it in one click.

We are living in an age where customers expect us to not step up their expectations but step ahead of them. We are witnessing this influence in many services offered beyond the regular, especially in digital assistants like Siri or Alexa and smart speakers like Amazon Echo or Google Nest.  For marketers, it is imperative to take marketing to another level while leveraging Artificial Intelligence. It is not AI digital marketing but farming the power of AI algorithms to bring right content to drive users to a website or to convert a million data points to create bang-on customer targeting advertising.

Artificial Intelligence, which is being touted as the holy grail of marketing, can be described a set of algorithms that operate intelligently like a human mind, taking inputs from the ecosystem (stream of customer transactions, evidence of consumer behaviour, buying cycle, preferences) and arrive at predictive decision-making. It can look at more data than a human in a lifetime and give recommendation decisions in split seconds.

Jane had spent ten minutes logged in and was waiting for the website to load and make the transaction happen. The fact that website did not load on time per her reflexes disappointed her and she left mid-way with the products in the cart without buying them.

We all have gone through this disappointing experience where we could not buy something because the web page didn’t load quickly enough. With AI, we can reduce these load times and can get the twin benefits of prompt loading of content and predictive user behaviour to close the deal and get customer satisfaction.

For example, Google has placed AI-based algorithms, which predict the inclination of uses to click on some preferred pages.

Not just personalised but AI- led Intelligent UX and CX

All of us have interacted with chatbots and most of us have found them to be egg-headed tools with mugged-up responses. Chatbots are not real AI; instead they are trees of pre-defined set of options that the bot follows till it runs out of all options and then is assigned to a human. In the case of real AI and NLP, one can provide more personalised and accurate UX, which is closest to user’s expectations.

A good example of personalised but intelligent AI is chatbots at Sephora, a beauty store which give make-tip & hair style tips derived from their data of user and domain expertise together.

A second example is Alibaba. Alibaba has opened a Fashion AI store in Hong Kong. Using AI to elevate CX, the store has special AI-driven shopping aids like intelligent garment tags and smart mirrors, which give information on clothes & colour co-ordination.

A third example is BMW which offers AI-enhanced sports car with a personal assistant. This car gets a driver’s information and then intelligently customises the systems to the driver’s preferences. It is also armed with a smart personal assistant intelligently talking to drivers and enable them travel routes and liaising with other applications like Google maps for smarter driving experience.

AI- led content-creation & data mining

Many companies have leveraged AI to fuel content creation and co-creation with customers. AI has been used to create blog posts, pulling traffic and boosting optimal SEO and to generate data reports for performance marketing.

Chase Bank applied AI to make their content more human-like or human-friendly. It has been surprisingly found out that AI- sourced content is more unique and live than that created by humans.

An example here is Deloitte, which uses  Quill by Narrative Science for reports that go to customers, and enables them to take advantage of data and turning it into something more valuable.

AI- led Sentiment Analysis

With sentiment analysis, a marketer can gauge how the products and services are being perceived by target audience, and then give direction to changes needed to adapt towards the right goals. This is important and there is no limit to how effective you can get in catching customer attention and sales closure.

An example of AI company that offers sentiment analysis going to the level of every ad campaign and ad units at the respective platform is NICE which suggests ways to enhance the product itself and UX and CX of the company also.

To conclude

Hence, AI can bring a winning edge to marketing efforts when applied smartly and monitored and pivoted along the journey. There is no limit to its potential not just in marketing but in the entire tech ecosystem and beyond.

Any time waiting would be time-wasting. Get smart with AI. Get started with AI. Transform your marketing and your customer experiences.

Also read: 5 Game-Changing Trends in Digital marketing, eCommerce, and Businesses in 2021

Do Follow: CIO News LinkedIn Account | CIO News Facebook | CIO News Youtube | CIO News Twitter

Namita
Namita Tiwari
Namita Tiwari is a Business Storyteller, an accomplished Marketing Leader, a Digital & Content Evangelist with rich experience around Campaigns, Content & Communications. She is passionate about creating next-generation marketing programs that converge digital, brand & content. She is an alumnus of Symbiosis, Pune India, and pursuing an executive program in Accelerated Marketing Leadership with the prestigious Kellogg School of Management. She has contributed to the growth journeys of many Fortune 500 firms across her 18+ years of experience such as HCL Technologies, Infosys, Accenture and is currently working with Tata. She has evident industry presence, giving guest lectures on marketing & leadership at business schools & speaking on numerous industry forums.

LEAVE A REPLY

Please enter your comment!
Please enter your name here

- Advertisment -1x1 banner1x1 banner1x1 banner1x1 banner

Most Popular

Distributed Artificial Intelligence Research Institute founded by Gebru after being fired from Google

AI needs to be brought back down to earth, said Gebru, Founder of Distributed Artificial Intelligence Research Institute Being fired from Google after sending an...

Data protection law to be beneficial for research, Kris Gopalakrishnan

To make the data available in a reliable format, in a format that is useful for research, is where the data protection laws in fact, I...

Digital financial super app introduced by Batelco in Bahrain

The Beyon Money digital financial super app includes Visa Prepaid Cards, Stored Value Wallet, and Open Banking Connectivity, categorization of expenses and financial Insights...

Machine learning: AWS announces new features

AWS has been helping customers with their machine learning journey and achieving their business outcomes To make technologies like machine learning more accessible and cost-effective,...

Recent Comments