What is Artificial Intelligence?
Artificial intelligence is the creation of intelligent machines that can think and respond like humans. John McCarthy used the term “artificial intelligence” and McCarthy was one of the founders of the discipline of artificial intelligence. Artificial intelligence can do things more accurately.
Artificial intelligence is considered the next industrial revolution, and people believe that artificial intelligence can provide a solution to many problems, and there are currently challenges in the world. Also, AI can solve future problems. Artificial intelligence has the potential to create new industries, technologies and the environment altogether.
“Artificial intelligence will create 2.3 million jobs in 2020 and eliminate 1.8 million,” says research firm Gartner. Read More at Artificial Intelligence It creates more jobs than it eliminates.
Infographic: A.I. Revolution: What Do Business Leaders Think? | Statista You will find more infographics at Statista
84% of marketing companies implement AI and machine learning in 2018 (Source: Forbes)
Let us now understand the types of artificial intelligence.
3 Types of Artificial Intelligence
- Artificial Narrow Intelligence (ANI) – ANI is a weak AI phase because it was developed for a specific task.
- Artificial General Intelligence (AGI) – AGI is also known as strong AI or human-level AI. A machine can do anything intellectual like a human.
- Artificial Super Intelligence (ASI) – ASI is said to be smarter than humans.
In this article, we explore the impact of Artificial Intelligence on digital marketing. Artificial intelligence has influenced digital marketing in many ways, and here are some of the impacts digital marketing will face in the coming years.
- Semantic search
- Content creation and duration
- The goal of advertising
- Predictive Marketing
- Voice Search
- Target the right audience
- A / B testing
- Lead scoring
- Web development
Artificial Intelligence on the Image of Digital Marketing
Chatbots are computer programs developed to communicate with online customers and they also complete the order for them. Chatbots can be integrated into websites and social media pages. Chatbots increase engagement, they help customers 24/7 and they can manage multiple users at once. Importantly, chatbots can respond to users’ queries promptly via chat interaction. Most online businesses are already implementing chatbots to provide better customer support. The beauty is that in most cases users do not realize that they actually interact with the machine.
2. Semantic search
Semantic search can significantly help users find answers to their search much faster. Semantic search is a data search technique that understands the user intent and contextual meaning of a search query rather than keywords. AI can do this by understanding the meaning of search phrases. This involves finding the relationship between words and phrases in the search query. Machine learning technique helps search engines understand what users need to be based on their search history and user personality. With the help of machine learning, search quality is constantly increasing.
It examines some of the following,
- User search history
- Previously stored data
- The current stratum
- Spelling variations
- Seasonal trends
- Local information
- Concept matching
- Search Time
- The Evolution of Semantic Search
- Knowledge Graph – May 2012
- Hummingbird Algorithm – September 2013
- Rank Brain – October 2015
- Tips for optimizing your site for semantic search
- Use Schema Markup – This helps you to index your content faster and it helps search engines to understand more about your copy.
- Keywords – Long-form keywords provide a more accurate target. Use more relevant keywords in your content.
- LSI Keywords (Latent Semantic Indexing) – Be sure to use LSI keywords in your meta description.
- Consider Your Audience – Understand the demographics and psychologies of your target audience. Find out what your audience wants.
3. Content creation and curation
Content creation is called AI Wordsmith, which in 2016 generated 1.5 billion content. Wordsmith is a natural language generation platform that makes your data readable. Wordsmith creates financial statements for affiliate press.
Artificial intelligence can write data-centric content such as sports stories, stock updates, and financial statements. According to Gartner, by 2018, 20% of business content will be written by machines. AI can produce up to 2000 articles per second. Also, content creation with Artificial Intelligence is more effective.
Content curation is the process of gathering and organizing information related to a specific topic. Content curation is the form of Artificial Intelligence. The best example of content curation is e-commerce websites like Amazon. They recommend similar products based on what you’ve seen or purchased before.
According to McKinsey, 35% of Amazon’s (e-commerce site) revenue is generated through its recommended engine.
4. Advertisement Objective
Advertising is required for brand promotion and AI can generate and promote online advertising. It can create or improve advertising content based on the user’s interests, preferences, likes, and dislikes.
Google ad platforms are already using artificial intelligence and machine learning to target audiences. AI can provide users with ads based on their search history, past purchase, demographics, interests, and finally, AI can display the right ads to the right audience at the right time. This gives advertisers a better ROI.
According to eMarketer, by 2019, 84% of digital display ads in the US will be programmatic.
5. Predictive Marketing
Predictive marketing predicts marketing success and helps AI marketers to accurately predict future business. Predictive analytics refers to the use of data mining, machine learning, and artificial intelligence to analyze historical data to predict future trends.
AI collects information about user online behavior and analyzes that data every time a user browses the Internet. This data reveals a lot of information, such as consumer frequency and brand preferences. Artificial intelligence has the ability to understand the needs and preferences of the consumer with the data already analyzed. By segmenting audiences, AI helps companies understand what their customers want. This helps you assess your target customer’s buying behavior.
Predictive analytics can help organizations manage their product planning and it depends on demand and supply forecasting.
According to narrative science, 44% of executives believe that the most important benefit of AI is decision making.
6. Voice Search
According to the latest study, 50% of all searches are expected to be voice search by 2020. Apple and Google call their personal assistants Siri and Google Assistant.
Voice search is an easy and fast way to search for information. Voice search changes future SEO strategies so marketers need to optimize their content with voice-friendly long-tail keywords. Optimize your site for local search This is important because the user says words like “I have” in voice search. Create web pages that provide direct answers to questions because voice search always looks for WH questions.
7. Target the right audience
It is important to target the right audience in the online business. Google Analytics driven by Artificial Intelligence relies on the demographics of the audience, location, age, gender, education, income, occupation, etc. and psychology such as interests, preferences, and attitudes. This helps determine which target audience is best for your product or service. .
Artificial Intelligence analyzes millions of data line content in a single user profile, which helps digital marketers effectively market products to different customer segments.
8. A / B testing
A / B testing is also known as split testing or bucket testing. According to Tecopedia, A / B testing is an online marketing strategy that compares the two versions of web pages to which users prefer. In other words, the version of your web page generates more conversions or leads.
Artificial intelligence-based tools, test the other’s attendance group at a time and improve results much faster and more efficiently than humans. Also, AI can be used to increase the effectiveness of the exchange rate.
The Sentient Ascend platform allows you to test thousands of hypotheses at once. This will help you find the best performance variants faster.
9. Lead scoring
Lead Scoring is a methodology for ranking based on customer behavior related to their interest in the product or service and their current position in their purchase cycle. It helps to identify who can engage or buy. No one likes spending time with unqualified leads and this helps them focus on qualified leads. Companies can take the lead by using words like hot, warm and cold
Hot – Hot lead is ready for someone to buy.
Warm – A person who is interested in your product or service.
Cold – A person who is not interested in your product or service.
Artificial intelligence can automatically prioritize true hot leads, and this can help improve sales productivity and advance.
10. Web Development
AI helps make websites easier, faster and with few clicks. Molly, a Grid-like application that uses artificial intelligence to create a website in minutes, based on information provided by users such as images, page layouts, text, calls-to-action, and more.
The speed at which Artificial Intelligence is being implemented across industries will trigger a revolution as businesses have done so far. Artificial intelligence leads to higher levels of accuracy and faster achievement. AI helps the financial and banking industries in terms of managing data, retrieving information, large amounts of accounting and cost. With the help of Artificial Intelligence, marketers can make data-driven decisions for better campaign results. In addition, they can influence AI’s predictive ability to easily identify their potential customers, buy behavior to achieve higher sales and customer satisfaction.