13 Powerful AI Services And Apps For Marketing Experts

This is how AI nurtures leads from the stage of temporary interest to becoming the brand’s regular clients.

The use of artificial intelligence in marketing makes the life of specialists in this field much easier. They address chatbots, voice search, and other tools that help to control the number of brand customers effectively.

When it comes to creating new content, business owners often feel overwhelmed, leaving them with few social media updates and a non-existent blog. CopyAI is an AI-powered copywriting app that helps you create social media posts, blog posts, emails, and much more. It’s like getting a personal virtual assistant that is available 24/7. Whenever you feel stuck in a rut, CopyAI will be there to help out

Today we will figure out how exactly smart algorithms help marketers and what services can be useful to any company.

1. What exactly is AI used for in marketing?

Marketing is a tricky area of ​​making future decisions about spending, strategy, and campaign content topics. Artificial intelligence greatly supports this area by analyzing trends, providing forecasts, and reducing information overload.

Moreover, AI can be used in planning, personalization, as well as direct control without human intervention. The most common uses for artificial intelligence in marketing are:

i. Client’s portrait generation 

Artificial intelligence is actively drawing up a portrait of the client. A portrait of a client is a group of people with similar characteristics. As if you were creating a segment to show ads to. The more questions about users you can answer and the more accurate your portrait is, the more chances you have to create a useful product and make money from it.

ii. Smart content generation

AI can write reports, posts and generate news based on available information. It can also create a visual piece of content: videos, infographics, or photos.

iii. Development of content strategies

Authors, no matter how creative they are, often feel that developing content strategies takes a lot of time and effort. AI tools dramatically accelerate the development of real-world strategies. With a huge amount of content and very limited time, AI is key for marketers.

iv. Content supervision

AI is not only capable of generating the content but also supervising it. This allows you to better communicate with visitors to certain sites, show them more relevant content and personalized recommendations based on their browsing history.

v. Emotion personalization

Emotion detection and recognition technologies are relatively new personalization tools. Algorithms learn to read the full range of emotions and analyze a person by his posture, gestures, and voice. It helps marketers to gauge consumer reactions to products and services offered.

vi. Voice search

AI-powered voice search technologies such as Siri or Alice continue to evolve. It is not surprising that soon the majority of search queries will come in invoice format. Marketers should take this into account and try to select content and SEO strategies based on the client’s speech. 

vii. Digital advertising

Facebook and Google are already using machine learning in combination with artificial intelligence to identify the advertiser’s potential customers. For this, an analysis of users’ personal information is carried out.

viii. Predictive analytics

For example, AI is used in e-commerce to analyze the purchasing behavior of users and determine the likelihood of repeat purchases. By applying predictive analytics, marketers “redesign” customer experiences and actions. Thus, they determine which marketing strategies are leading to positive results.

ix. Interaction with customers

AI already interacts closely with people through the live chat interface. Programmed to handle standardized requests, chatbots provide a high degree of personalization across the web or mobile platforms. The added AI element allows marketers to customize grouped responses based on customer interactions. Moreover, they accurately respond to requests, provide suggestions, and redirect customers through appropriate links. This is how AI nurtures leads from the stage of temporary interest to becoming the brand’s regular clients.

x. Sales forecasting

Using previously collected sales data, industry comparisons, economic trends, artificial intelligence helps estimate demand, make business decisions, and predict short-term and long-term sales results.

xi. Targeting ads

Machine learning algorithms can work with massive amounts of data to determine which ads are best perceived by customers. By using machine learning to continuously optimize thousands of variables, you can achieve more effective ad and content placement.

The symbiosis of humans and algorithms produces tangible results that can be measured using classic economic indicators. Here we mean revenue, the number of leads, or conversions. But the most important resource of any team is the time that can be spent on achieving important indicators and not routine work. Therefore, marketing teams need to delegate the routine to AI algorithms.

xii. AI-powered content

Artificial intelligence-based programs still cannot boast of high-quality text. But they can easily create infographics, aggregate statistical reports, and provide real-time analytics.

All AI-generated content has a high value and can easily attract new visitors to the site. This approach is an opportunity to improve the effectiveness of email marketing and social media content strategies.

2. The best AI-powered tools for marketers and beyond

i. MarketMuse

Marketers use MarketMuse to improve search engine market performance. They check the relevance of existing content according to keywords, as well as suggest new content topics. Thus, MarketMuse allows improving search results and generating more traffic.

ii. Curata

Curata helps you expand your reach and curation of your content. This software will search the Internet for the most effective pages in a given segment, as well as simplify and improve the efficiency of content planning.

iii. Automizy

Automizy is used to predict open rates for email campaigns and create themes with the best chance of success.

iv. Google AutoDraw

A service that transforms freehand drawings into high-quality clip art. The AI ​​behind AutoDraw analyzes user sketches in real-time, recognizes them, and offers similar pictures drawn by professional artists. 

AutoDraw can be of great help to designers of advertising campaigns, presentations, illustrators, photo editors, and representatives of other creative professions.

v. Pattern89

The Pattern89 platform helps marketers choose the best images for their ad campaigns, as well as create a template based on various combinations of the most effective ones.

vi. Beautiful.ai

An online presentation tool that uses artificial intelligence technologies to automate and simplify the user experience with slides.

Beautiful.ai analyzes the placement of presentation elements and automatically adjusts slide colors, animations, and graphics. Moreover, the program itself recommends templates suitable for the content topic.

vii. Acrolinx

This software platform, built on an advanced linguistic analytics engine, “reads” content and suggests edits. This way the text content can be better and more professional.

viii. Drift

Drift, the first and so far the only dialogue marketing platform in the world, uses bots that communicate with website visitors in real-time. Drift connects the operator with customers who are ready to buy now. And the built-in Bot Builder creates the perfect conversion process in minutes.

ix. Let’s Enhance

A service that allows you to improve photos and scale them without losing quality. The “heart” of this software solution is a neural network trained on a large base of images. Thanks to the knowledge of typical objects and textures, the program is able to restore details and maintain clear lines and contours of the processed images.

x. RAD AI

The AI-based program analyzes the content developed by the authors and suggests improving it.

xi. Yva

A cloud-based system of “smart” analytics of corporate communications, which allows using artificial intelligence technologies to evaluate the efficiency of the company’s personnel. Yva connects to corporate mail, instant messengers, conducts regular employee surveys, and analyzes the data received.

xii. Lift AI

The main problem of businesses that prefer lead management software is the presence of a database and anonymous users that impede the collection of information. Lift AI handles this. It can determine the likelihood of conversion of each website visitor in real-time.

xiii. Articoolo

AI software that compiles text content on demand. You just set a topic and you get a ready post. An excellent solution for SMM specialists.

3. Difficulties in implementing artificial intelligence in marketing

Of course, with the introduction of AI, not everything is so smooth. There are three main challenges that companies face when implementing AI. First, there are high expectations for technology and the subsequent disappointment. AI is not a magic wand that will instantly solve all problems. Robots can perform the simplest tasks that are usually assigned to an easily replaceable performer. That is, they are just doing a routine but not inventing something new.

The second problem is the issue of “power transfer.” Many managers don’t yet fully trust an unfamiliar “mechanism” and are not ready to delegate the powers of employees to it.

And last but not least, the implementation of new technological solutions requires trained employees—specialized developers who understand the principles of configuring, implementing, analyzing, and optimizing ML algorithms.

Moreover, if the company is faced with the task of hiring an employee to work with AI, then the recruiter must also have at least the minimum set of necessary competencies to assess the candidate’s professional suitability.

4. How do you know when it’s time for a company to incorporate AI into marketing?

If you understand that solving routine daily takes most of the employees’ time, then the introduction of AI will be justified. Processing customer requests, building reports, manual analysis of marketing campaigns, or forecasting – a smart algorithm will help with this.

According to forecasts of Forrester Research, the development of AI will only increase in 2021: 35% of companies focused on development will invest in these technologies. However, strong growth will bring with it new challenges. For example, data security and ethical use of AI will become especially relevant.

5. Where does business use AI besides marketing?

Artificial intelligence is able to quickly bring a business to a fundamentally new level. This is one of its key functions and tasks. Here are a few problems that machine learning algorithms can solve:

• Prompt response: In some areas of business, the fundamental condition for success is to quickly analyze incoming data and instantly respond to them – for example, in exchange transactions. 
• Development of a marketing strategy based on the data provided and the goals set: Artificial intelligence helps marketers work. It not only analyzes the experience of previous sales but also uses forecasting to “predict” the future and also takes into account the behavior of competitors and the general situation in the market.
• Human factor: Even the most professional and experienced employee has a bad day and bad decisions. Artificial intelligence does not; instead of emotions it has functions, and technology and information replace changeable moods.
• Anti-fraud: Self-learning neural networks help analyze user behavior and identify suspicious transactions, as well as create algorithms to prevent financial losses. The result: the system becomes less vulnerable, and this is a key condition for customer trust.
• Increased profits: The use of machine learning can provide a 5% increase in the brand’s revenue. And with an integrated approach, a company’s revenues can grow even more.

6. What other industries should use AI in 2021?

The introduction of artificial intelligence technologies in different areas of life can qualitatively change them and increase the effectiveness of any work. Let’s consider where and how exactly innovative solutions are used today.

i. Smart industry

The world’s leading companies and firms that want to be competitive are turning their attention to intelligent manufacturing solutions. 

• Automation: Human participation in well-functioning production processes is reduced to a minimum. Automation of routine operations reduces production times and increases capacity.
• Data analysis: Artificial intelligence does not get tired and makes fewer mistakes when it comes to processing large amounts of data. For example, to carry out accounting calculations.
• Robotization: Robots are capable of assembling structures from different parts, drilling, exploring, classifying, and testing. There are robots that are able to analyze human behavior in production and prevent accidents.

AI technologies are most actively used in countries such as America, Japan, China, Germany. Renowned motorcycle company Harley-Davidson has used smart systems to cut its build time from 21 days to 6 hours. Tech giant Samsung plans to fully switch one of its factories to production that uses artificial intelligence in 2023.

ii. Public sector and artificial intelligence

AI systems using cameras and motion sensors are able to keep order on city streets and in crowded places, predict dangerous situations, and even identify criminals. Also, smart systems are able to accurately verify documents and prevent theft.

Similarly, artificial intelligence technologies work in fire safety services, independently checking, warning, and deciding whether to call the fire brigade.

AI technologies used in the work of officials will help reduce the time spent on processing and systematizing government documents, patents, and licenses. For example, analysts at the Reform Center argue that robots and smart software are already capable of replacing 90% of British officials.

iii. AI-controlled medicine and health

Thanks to the ability to analyze and organize data, smart programs and machines have become effective assistants for modern doctors. The final diagnosis remains with the person, but AI helps to quickly collect and process data. On their basis, doctors are able to make a diagnosis faster and more accurately.

Smart programs are already being used in medicine to diagnose oncology, predict genetic diseases, and problems with the cardiovascular system. Intelligent devices like smart bracelets are able to read a person’s vital signs, send data by mail to the attending physician, and even call an ambulance.

Tests of such devices were carried out at the Dutch University of Nijmegen: 60 volunteers were given bracelets that measure temperature, pressure, heart rate, and respiration. In case of deviations from the norm, the devices sent a signal to the system, and the doctor received the message. The bracelets were connected with special healthcare software that allows doctors to monitor the condition of patients and take measurements remotely.

iv. Smart home 

The most popular AI product is the smart house. It is not surprising, because the concept of its application is close to everyone: a smart home makes life more comfortable and orderly. The system is able to monitor the safety of the home, the consumption of water and light, the climate, monitor the condition of the wiring, and automatically clean.

Portable smart devices, such as learning translators, fitness bracelets, and smartwatches, also help in everyday life.

How quickly and efficiently intelligent systems will be introduced into our lives depends on specific projects and tasks. Of course, artificial intelligence is not immune to errors and external factors. Therefore, people will continue to make important decisions and be responsible for them, but with the help of smart machines and programs, people will be able to work faster, as well as make their lives more comfortable and safer.

Wrapping up

Technology is advancing rapidly. And if it seems to you that recently people were surprised by Siri, then just imagine – it first appeared in 2011. The process has been launched, and let’s be frank – artificial intelligence and automation are already doing better than humans in many tasks.

So why not trust brand marketing to new tech?