Artificial Intelligence

Artificial Intelligence

Artificial intelligence is a machine with the ability to solve problems which are usually done by us humans by our natural intelligence. The work is devoted to making the machines intelligent and replace most of the work done by humans. AI is making its appearance so strongly that it has grabbed the attention of everyone. It is not much longer when AI like Jarvis from Iron Man will come along. With all this the questions like, Are machines going to take over? Are we going to lose our jobs? comes into context, the answer to this is, it is not going to happen for a while.

Machine Learning-

Machine learning is a subset of AI that enables machines to automatically learn and improve from experience. Machine Learning has granted computer systems entirely new abilities. It learns from past experience. If a computer program can improve how it performs a certain task based on past experience then you can say it has learned. Here the machine can predict based on past experience. It is the extraction of knowledge from the data. Machine learning has software that makes it more accurate in predicting future action. This is how it works “it is built on algorithms that can collect data from doing a task and then be analyzing it to predict the future output. The machine can learn on their own.

Deep Learning-

Deep learning is a technique of machine learning that learns directly from data, that can be in any form like image, text or audio.

Digital Marketing-

Digital marketing refers to advertising through electronic devices with the help of the internet using various tools like websites, social media, mobile, email, influencer, paid advertisement and search engine optimization. Digital marketing is a wide concept the more you know about it the more it gets deeper. The best part about it is that is never the same as traditional marketing, digital marketing gets updated and you will see new tools coming up frequently.

Artificial Intelligence In Digital Marketing-

Digital marketing is one of the many fields that this wave is disrupting. Artificial intelligence in digital marketing lets marketers focus on creating truly personal, relevant connections with engaged customers. Most of the people are tools

of ai in digital marketing?

advantages of ai in dm?

disadvantages of ai in dm?

how ai helps business through dm?

how is beneficial to customers?

How Artificial Intelligence Is Revolutionizing Digital Marketing

Predict the Behavior of Your Customer with Propensity Modelling and

Predictive Analytics

Use AMP and Reduce Load Time

Leverage the Power of Audience Insights to Boost Search Ads

Scale up Your Content Marketing with AI-Generated Content

Deliver a Highly Personalized Website Experience to Every User

Optimize for Voice Search Queries

Advantages Of AI In DM

User Experience Will Level Up

Return on Investment Will Be Better

Search Sessions Get Easier

Reaching the Right Target Audience Gets Simpler

Forecasting the Sales

Advertising Gets Better

Application of AI In DM

Creating and Generating Content

Content Curation

Email Marketing

Digital Advertising


Web Design

User Experience


Predictive Analysis

How Artificial Intelligence Is Revolutionizing the Digital Marketing Sphere

When digital marketers come across the word “artificial intelligence,” they immediately think of the “RankBrain” algorithm.

Moreover, it also returns a set of similar questions that people often type into Google. The accurate return of the answer along with a set of similar questions is all powered by artificial intelligence.

The Shift From ‘Text’ to ‘Voice’ Has Already Taken Place

More than 20% of searches entered into Google are now voice based. These are big numbers and digital marketers need to understand this fact and start planning strategies to optimize websites for voice search along with the traditional text-based search.

1) Predict the Behaviour of Your Customer with Propensity Modelling and Predictive Analytics

Propensity models are statistical scorecards that are built to identify prospects who are more likely to respond to an offer. It correlates with customer characteristics with anticipated behaviors.

For Ad Words professionals, it is crucial to use Google’s Double-click Bid Manager, in which you define your target audience and campaign objectives and the tool automatically recommends strategies to achieve the desired goals.

Moreover, predictive analytics allows marketers to extract information from data and uses it to predict purchase trends and user behavior patterns. The Adobe predictive analytics tool analyzes large volumes of data and helps to uncover the most impactful insights.

It works via the steps as explained here:

  • Objective identification and data extraction: In this step, you need to identify the business objectives and analyze the available source data to determine patterns that match your needs. Thereafter, data is extracted to create models.
  • Model creation and validation: In this step, data mining is used to refine and select a final model. The models are validated based on the set goals.
  • Apply results and manage models: The final step is the application of the model results into business decisions and constantly refining the models for better outcomes.

2) Use AMP and Reduce Load Time

In October 2015, Google announced AMP web pages, which are a lighter version of the traditional web pages and aim to drastically improve the performance of the mobile web, such as reducing page load time to improve the user experience.

With the help of RankBrain, Google is getting better and better at knowing what is best for the user. AMP content automatically shows up in priority placement areas like the News Carousel. Having an AMP page means that you increase your chances of ranking on the top three search results of Google.

You can easily create an AMP page by following the instructions provided here.

Learn More: Using Google AMP to Boost Site Speed and Mobile Optimization

3) Use AI-Powered Chatbots to Improve User Experience

Most businesses are already aware of live chatbots, or artificial intelligence systems that you chat within an instant messaging format, and many are already using this feature on their site. But have you thought of upgrading the traditional live chats with AI-powered chatbots? The time is just ripe to do so.

In the words of Google:

“Think about what makes your website unique, valuable, or engaging. Make your website stand out from others in your field.”

Recently, NAB (National Australia Bank) launched a customer assistance chatbot to help customers find answers to common banking queries. The bot is able to answer more than 200 common questions related to banking.

Chatbots are a feature that can really make your website stand apart from the rest. Here are some advantages that chatbots have over live chat:

  • Chatbots can assist customers 24×7 and they can retain customer data. In other words, customers don’t have to repeat themselves with every interaction. This makes the customer experience more enjoyable.
  • They are friendly and never lose patience. Your customers can be angry but the messenger bot will always treat your customers politely.
  • They can handle several customer requests simultaneously, so the waiting time is reduced to nil.
  • Chatbots are useful in creating personalized advertisements for users which can boost sales.
  • They have the power to track customer purchase patterns. This allows the business to revamp their existing marketing strategy and increase sales.

4) Leverage the Power of Audience Insights to Boost Search Ads

You can now target your ads by audience interests.

This is possible with the help of in-market audiences. In the words of Google:

“For example, if you’re a car dealership, you can increase your reach among users who have already searched for ‘SUVs with best gas mileage’ and ‘spacious SUVs.’ In-market audiences use the power of machine learning to better understand purchase intent. It analyzes trillions of search queries and activity across millions of websites to help figure out when people are close to buying and surface ads that will be more relevant and interesting to them.”

In other words, in-market audiences use the power of machine learning to unlock new opportunities for marketers.

5) Scale Up Your Content Marketing with AI-Generated Content

Wordsmith, a natural language generation (NLG) engine “that lets you turn data into text at any scale and in any format or language,” was able to create around 1.5 billion human-sounding articles in 2016. AI isn’t able to write natural-sounding content for every topic, but it is useful for some types of data-focused content such as “quarterly earnings reports, sports matches, and market data.”

Another AI-powered tool called Acrolinx, which “helps you produce great content with the only AI platform for enterprise content creation,” regularly creates content for major brands like Facebook, IBM, Microsoft, Nestle, and Caterpillar.

As per an article published in Marketing Artificial Intelligence Institute:

“Acrolinx uses a variety of techniques in its multilingual natural language processing (NLP) engine, including machine learning and knowledge-based approaches to ensure the best combination of scalability and precision.”

Once you are able to produce content on the scale, the next step is reaching your target audiences. You must always combine the power of text and images, as socially shared content that is accompanied by images have the highest chances of reader engagement. You can easily download free stock photos from platforms like Burst to get started.

Moreover, marketers are already aware of the fact that the fastest way to reach customers is through influencers. With platforms like you can easily reach relevant influencers at scale.

AI cannot replace niche content experts, but they can certainly boost the production of content based on sports matches, financial reports and market data.

Related Content: How to Write Content for People and Optimize It for Google

6) Deliver a Highly Personalized Website Experience to Every User

People love content, offers, products and services that are personalized for them. The 2016 trends in personalization report from Evergage suggests that around 33% of the surveyed marketers use AI as a means to deliver personalized experiences to the user.

With AI, analyzing data points becomes easier. You can display personalized content and offers to each and every individual prospect by analyzing their location, device, past interaction, demographics, etc.

You also have the power to automate e-mail marketing and send regular push notifications to the prospects based on the micro-moments or their current interaction with your business.

Rare Carat uses IBM Watson technology that allows prospects to compare diamond prices across various online retailers so that the buyers are able to find the right diamond at the right price.

The New York-based startup and e-commerce platform for buying diamonds does this with the help of an AI-powered robot called “Rocky.” The robot is able to answer all the queries associated with diamonds and also assists buyers with purchasing a ring at the best price.

7) Optimize for Voice Search Queries

With the rise in voice search queries, it is becoming more than necessary for marketers to optimize for natural language long-tailed voice queries.

Google has disclosed in its blog that around 70% of queries that the Google Assistant receives consists of natural, conversational language and not the typical keywords that are used in a typed Google search.

It is crucial to identify the intent behind the conversations that prospects are having with your brand. Create pages that provide a direct answer to the questions asked by searchers. Questions normally start with “who,” “what,” “where,” “when,” “why” and “how,” so try optimizing your web pages accordingly.

Create local landing pages for every location that you are targeting. Develop local website content that would spark the interest of the people in your area and make use of structured markup to make it easier for the search engines to understand the context of the page.

Wrapping Up

AI is set to save marketers and businesses both time and money. For example, chatbots will make the job of sales agents easier than before and marketers can expect to have immediate insights into the best-performing ads or content.

Artificial intelligence and machine learning will not pose any threat to existing jobs; it will only make our tasks easier than ever. Recurring tasks can easily be shifted over to bots and tasks that need human intervention will still rest on the shoulders of people. AI-powered analytics platforms like Albert and PaveAI will provide most importantly more accurate and relevant data that will help marketers take robust and immediate decisions.

As a business owner or marketer, it is time to identify the problems that your business or marketing campaign is facing and how accurate insights can solve these issues. Gathering all the data spread across numerous applications into one place will help you to get accurate insights. Whether it’s dynamic price optimization or automatic selection of ad copy based on the user demographics, AI has the power to do it all.

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