AI Marketing Tools For Web Content Marketers | 10 Best Picks

In a YouTube video, Neil Patel has discussed AI Marketing Tools that will blow your mind. Such that; if you thought that only your grandchildren will see AI dominating areas that humans could, well think again. Simply, because there are some really cool tools that you’ll need to check out first. As of today, the design and development of AI skyrocketed.

Automatically, tasks that would otherwise take you hours to complete can now be done in minutes. Whilst, in marketing, there are already quite a few things that will make and do things a little bit faster. There’s even a quote by Larry Page — one of the Google founders — that says; ” Artificial Intelligence would be the ultimate version of Google.

The ultimate search engine that would understand everything on the web. It would understand exactly what you wanted, and it would give you the right thing.” As a result, the global artificial intelligence market size will grow from 93.53 billion in 2021 to 997 billion by 2030. And, that’s almost a trillion dollars in market value share — pretty much 10x.

So, how can you harness the power of this technology in your day-to-day marketing strategy? Well, there are a number of A.I. Marketing Tools that can do just that seamlessly. Like designing custom logos, optimizing your paid ad campaigns, helping you write great web content, and a lot of other interesting stuff.

What Is Artificial Intelligence (AI)?

Talking about AI Marketing Tools, Artificial Intelligence (AI) is an interdisciplinary science concerned with building smart machines. Capable of performing tasks that typically require human thought. In that case, the implications will change virtually every aspect of our world.

AI is rapidly spreading throughout civilization, where it has the promise of doing everything. From enabling autonomous vehicles to navigate the streets to making more accurate hurricane forecasts. On an everyday level, AI marketing tools generally figure out what ads to show you on the web.

And then, it’s able to power those friendly chatbots that pop up when you visit an e-commerce website to answer your questions and provide customer service. Likewise, AI-powered personal assistants in voice-activated smart home devices perform myriad tasks. From controlling our TVs and doorbells to answering trivia questions and helping us find our favorite songs.

Learn More: How Artificial Intelligence Works | 7 Basic Facts With Examples

It’s even more amazing, perhaps, that our existence is quietly being transformed. By a technology that many of us barely understand, if at all. Something so complex that even scientists have a tricky time explaining it.

AI is “basically the results of our attempt to understand and emulate the way that the brain works and the application of this to giving brain-like functions to otherwise autonomous systems (e.g., drones, robots, and agents),” Kurt Cagle, a writer, data scientist, and futurist.

And while humans don’t really think like computers, which utilize circuits, semiconductors, and magnetic media instead of biological cells to store information, there are some intriguing parallels.

Why Are AI Marketing Tools Important?

From forecasting sales, generating the content, to improving the customer experience, there are countless ways to use top AI marketing tools for your business.

In most cases, AI Marketing Tools make use of Artificial Intelligence Technologies to make automated decisions. based on data collection, data analysis, and additional observations of audience or economic trends that may impact marketing efforts. Often, AI makes our marketing efforts quicker — especially where speed is essential.

While AI is still largely new to the marketing space, it promises to only grow in popularity. For instance, the best AI email marketing tools allow marketers to produce effective emails that engage customers and maintain brand relationships without effort. Emails are one of the most repetitive tasks in marketing.

With an AI tool, businesses can cut back on the time spent researching, creating, and testing email content. There are a few AI trends marketers will see over the next few years and should begin to adapt to:

1. The use of chatbots: 

An AI chatbot is perfect for nurturing a lead. When set up correctly, a chatbot can create a better customer service experience. These bots can answer repetitive questions like price or the availability of a product or service. If more complicated answers are required, they can be forwarded to a customer service agent. Chatbots also help ensure that customers won’t feel ignored when they want to reach out to you.

AI is growing: 
  • Gartner has predicted that by 2022, AI will replace about 33% of data analysts in marketing.
  • Tech giants realize the benefits and potential for AI. In 2016, they were already spending on average between $20-$30 billion. 90 percent of this budget was focused on deployment and research.
  • Additionally, in 2020 Gartner predicted that more than 40% of data science tasks will be automated

One of the biggest benefits of AI marketing technology is it can automate data-based decisions in an instant. Data is everything in marketing. It can show you how your customer would react to your message or tell you the best strategy to use for your email marketing campaigns.

2. Teams will scale through AI

Marketing teams will be put under increased pressure to demonstrate marketing value and ROI to executive stakeholders. Teams will leverage AI solutions to drive these targets and better allocate funds towards successful campaigns and provide the marketing metrics that demonstrate the value of campaigns.

Smart marketing tools allow marketers to maximize the information produced without wasting money on other campaigns. In addition, AI technology provides deep customer insight and shows you what your buyers want. It also groups warm leads and guides them to move forward, ultimately leading to a sale and an increased ROI for your business.

3. Saves time and money

Every business wants to save money when running marketing campaigns. An AI marketing tool may require an initial investment, but it pays in dividends by giving you cost savings. It allows businesses to work fast and efficiently without having to pay for staff to do the manual work.

Instead of hiring a full team, you can focus on recruiting employees to perform critical tasks. AI tech also lessens human error. Realistically, content marketing leaders who don’t leverage AI will be replaced by those who do. According to Gartner, those responsible for marketing insights will no longer be as competitive in this changing marketing landscape.

The majority of those surveyed by Gartner employs AI solutions in their marketing strategy or are planning to. Only 13 percent do not see a use for it in the next three years.

4. Creates real-time personalization

Customers expect you to know what they want. One way AI marketing tools can help out is by adapting your sales and marketing strategy to generate a personalized experience for any specific customer. Artificial intelligence can use predictive analysis to gain a better understanding of the customer’s behavior and buying habits.

This is the same thing Google, Netflix, and Instagram use to give you recommendations to watch or suggest posts. Imagine the possibility of being able to guide customers to a specific product or service based on their previous interactions with the company. Creating a personalized experience allows them to build a relationship with your brand.

In fact, today’s consumers expect brands to offer a tailored message instead of a generic one.

5. Content generation

The main driving force for digital marketing is content. Without it, it would be hard for companies to sell their products or convince consumers to make a purchase. Writing and generating content can take several hours a day. Marketers need to plan their targets, write the copy, edit, then distribute it at just the right time to create maximum impact.

AI marketing tools can help in this regard by streamlining the content generation process. It can automate messages or improve engagement using various social media marketing platforms.

6. Forecasting sales 

To thrive, businesses need to have target revenues and find a way to ensure this goal is achieved throughout their campaign period. The application of AI marketing programs lets marketers understand and estimate possible sales based on their customer data and their past shopping behavior.

This predictive insight allows businesses to know which products will become a top sellers, how many they should stock to avoid inventory issues, or which items they need to promote further.

7. Dynamic pricing control

Dynamic pricing happens when the price of a product or service is changed based on the market condition and the supply or demand of the item.

AI-powered tools can use this pricing strategy to gain better margins, as it allows retailers to update their prices several times a day. Dynamic pricing is best exemplified in hotel booking websites or airline companies where the prices go up or down depending on availability.

How AI Marketing Tools Deliver Solutions

An AI email marketing campaign tool like Seventh Sense ensures your emails get delivered at the right time for each customer. This personalized service allows marketers to engage with their audience better, knowing they will be opening their emails at the most optimal time.

The smart platform also helps with increasing email deliverability, which improves the sender score. This’s an important parameter for companies that send out hundreds or thousands of emails a week. Seventh Sense is designed to work with Hubspot and Marketo only.

While doing marketing, most AI Tools use data and customer profiles. More so, in order to learn how to best communicate with customers. And then, serve them tailored messages at the right time. All this without intervention from marketing team members, ensuring maximum efficiency. For many of today’s marketers, AI is used to augment marketing teams.

Or even to perform more tactical tasks that require less human nuance. There’s a myriad of use cases for AI in marketing efforts, and each of these use cases yields different benefits such as risk reduction, increased speed, greater customer satisfaction, increased revenue, and more.

Benefits may be quantifiable (number of sales) or not quantifiable (user satisfaction). But, there are many other AI marketing tools use cases that every web marketer should know about. More so, a few overarching benefits that can be applied across AI use cases:

Consider the following:
  • data analysis
  • media buying
  • natural language processing
  • automated decision making
  • real-time personalization
  • content generation

It’s clear to say that Artificial Intelligence (AI) holds a vital role in helping marketers connect with consumers. Perse, there are numerous components of AI marketing that makeup today’s leading solutions. Some that are helping to bridge the gap between the expansive amounts of customer data. As well as the actionable next steps that can be applied to future campaigns:

1. Machine Learning

Remarkably, Machine Learning is driven by Artificial Intelligence without any doubt. It involves computer algorithms that can analyze information and improve automatically through experience. Devices that leverage machine learning analyzes new information in the context of relevant historical data that can inform decisions based on what has or hasn’t worked in the past.

2. Big Data and Analytics

The emergence of digital media has brought on an influx of big data, which has provided opportunities for marketers to understand their efforts and accurately attribute value across channels. This has also led to an over-saturation of data, as many marketers struggle to determine which data sets are worth collecting.

3. AI Platform Solutions

Effective AI-powered solutions provide marketers with a central platform for managing the expansive amounts of data being collected. These platforms have the ability to derive insightful marketing intelligence into your target audience so you can make data-driven decisions about how to best reach them. For example, frameworks such as Bayesian Learning and Forgetting can help marketers gain a clearer understanding of how receptive a customer is to a specific marketing effort.

4. Increased Campaign ROI

If leveraged correctly, marketers can use AI to transform their entire marketing program by extracting the most valuable insights from their datasets and acting on them in real-time. AI platforms can make fast decisions on how to best allocate funds across media channels or analyze the most effective ad placements to more consistently engage customers, getting the most value out of campaigns.

As a matter of fact, AI can greatly help you deliver personalized messages to customers at appropriate points in the consumer lifecycle. AI can also help marketers identify at-risk customers and target them with information that will get them to re-engage with the brand.

5. Enhanced Marketing Measurement

Many organizations have trouble keeping pace with all of the data digital campaigns produce, making it difficult to tie success back to specific campaigns. Dashboards that leverage AI allow for a more comprehensive view of what is working.

So that it can be replicated across channels and budgets allocated accordingly.  AI is able to conduct tactical data analysis faster than its human counterparts and use machine learning to come too fast conclusions based on campaign and customer context.

This gives team members time to focus on strategic initiatives that can then inform AI-enabled campaigns. With AI, marketers no longer have to wait until the end of a campaign to make decisions, but can use real-time analytics to make better media choices.

Artificial Intelligence Solution Examples In Marketing

AI is being used in marketing initiatives in a multitude of use cases, across a broad array of industries including financial services, government, entertainment, healthcare, retail, and more. Each use case offers different results, from improvements to campaign performance, to enhanced customer experience, or greater efficiency in marketing operations.

To understand what it means to throw a ball, you have to be able to throw a ball. AI quietly has become so ubiquitous that it’s already found in many consumer products. As of now, a huge number of devices that fall within the Internet of Things (IoT) space readily use some kind of self-reinforcing AI, albeit very specialized AI.

Cruise control was an early AI and is far more sophisticated when it works than most people realize. Noise dampening headphones. Also. consider anything that has a speech recognition capability, such as most contemporary television remotes, social media filters, spam filters, etc. If you expand AI to cover machine learning, this would stretch even further.

To include things like:
  • modern CCTV cameras
  • spell checkers like Grammarly
  • text-recommendation systems
  • really any recommendation system
  • washers, dryers, microwaves, dishwashers
  • anti-lock braking systems, any electric vehicle
  • most home electronics like speakers, televisions
  • common games that use AI networks, etc.

The influence that AI Marketing Tools have is quite large. Inventor and futurist Ray Kurzweil has predicted that by the 2030s, AI is going to achieve human levels of intelligence. And, as a result, it will be possible to have AI that goes inside the human brain. Whilst, boosting its user’s memory and then turning them into human-machine hybrids.

In the end, we’re going to expand our minds and exemplify these artistic qualities that we value. With that in mind, as you can see, there are just numerous ways businesses can take advantage of machine learning to create a more comprehensive marketing plan. As an illustration, you can consider the following best use case scenarios:

Artificial Intelligence Robotics

AI is different from but related to, robotics. In which machines sense their environment, perform calculations and do physical tasks. Either by themselves or under the direction of people, from factory work and cooking to landing on other planets. Honavar says that the two fields intersect in many ways.

You can imagine robotics without much intelligence, purely mechanical devices like automated looms. There are examples of robots that are not intelligent in a significant way. Conversely, there’s robotics where intelligence is an integral part. Such as guiding an autonomous vehicle around streets full of human-driven cars and pedestrians.

It’s a reasonable argument that to realize general intelligence, you would need robotics to some degree. In particular, interaction with the world, to some degree, is an important part of the new era in technology intelligence.

Artificial Intelligence Processing

Ultimately, AI already can outperform humans in some narrow domains. For example, just the same way airplanes can fly longer distances, and carry more people than a bird could. AI, for example, is capable of processing millions of social media network interactions.

Gaining insights that can influence users’ behavior — an ability that the AI expert worries may have “not so good consequences. It’s particularly good at making sense of massive amounts of information that would overwhelm a human brain. That capability enables internet companies, for example, to analyze the mountains of data that they collect.

Especially, about users and employee insights in various ways to influence our behavior. But, AI hasn’t made as much progress so far in replicating human creativity. Though the technology already is being utilized to compose music and write news articles based on data from financial reports and election returns.

 Artificial Intelligence Digitization

Given AI’s potential to do tasks that used to require humans, it’s easy to fear that its spread could put most of us out of work. On one side, some experts envision that while the combination of AI and robotics could eliminate some positions, it will create even more new jobs for tech-savvy workers.

Those most at risk are those doing routine and repetitive tasks in retail, finance, and manufacturing. On the other side, white-collar jobs in health care will also be affected and there will be an increase in job churn. With people moving more frequently from job to job. New jobs will be created but many people will not have the skills needed for those positions.

So, the risk is a job mismatch that leaves people behind in the transition to a digital economy. Countries will have to invest more money in job retraining and workforce development as technology spreads. There will need to be lifelong learning so that people regularly can upgrade their job skills.

Programmatic Media Buys Bidding

A problem that marketing teams often encounter is deciding where to place advertisements and messaging. Marketing teams can create informed plans based on user preferences, but these teams are not flexible or agile enough to alter the plan in real-time based on the latest consumer information.

AI is being used by marketers to mitigate this challenge through programmatic advertising. Programmatic platforms leverage machine learning to bid on ad space relevant to target audiences in real-time. The bid is informed by data such as interests, location, purchase history, buyer intent, and more.

This enables marketing teams to target the right channels at the correct time, for a competitive price. Programmatic buying exemplifies how machine learning can increase marketing flexibility to meet customers as their needs and interests evolve.

The Right Message Selection

Across channels, different consumers respond to different messages – some may resonate with an emotional appeal, some humor, others logic. Machine learning and AI can track which messaging consumers have responded to and create a more complete user profile.

From there, marketing teams can serve more customized messages to users based on their preferences. For example, Netflix uses machine learning to understand the genres a certain user is interested in. It then customizes the artwork that the user sees to match up with these interests.

On the Netflix Tech Blog, they explain how they use algorithms to determine which artwork will most entice a viewer to watch a certain title, saying.

Let us consider trying to personalize the image we use to depict the movie Good Will Hunting. Here we might personalize this decision based on how much a member prefers different genres and themes. Someone who has watched many romantic movies may be interested in Good Will Hunting if we show the artwork containing Matt Damon and Minnie Driver, whereas, a member who has watched many comedies might be drawn to the movie if we use the artwork containing Robin Williams, a well-known comedian.”


AI in Marketing

Image Credit: Netflix

When AI and machine learning are used, these platforms can gather valuable data on customers that allow marketing teams to increase conversion rates and improve the customer’s experience.

Marketing teams can then analyze all of this data to create a more nuanced view of the customer, even considering additional factors such as if a user would have watched a title regardless of the image, and how that plays into future messaging.

Granular Personalization

A highly granular level of personalization is expected by today’s consumers. Marketing messages should be informed by a user’s interests, purchase history, location, past brand interactions, and a host of other data points.

AI helps marketing teams go beyond standard demographic data to learn about consumer preferences on a granular, individual level. This helps brands create curated experiences based on a customer’s unique tastes.

For example, Spotify uses AI to create customized playlists based on what a customer has listened to in the past, current hits across genres, and which music is being talked about. It uses these datasets to create customized playlists for users.

And then, to create genre playlists based on artists that appear in conversation, in articles, etc. This has helped Spotify to become a top streaming service and emphasize customer experience through personalization.

Granular Personalization

Image Credit: Spotify

Another trend based on AI-enabled personalization is atomic content. Here, AI learns customer preferences and pulls pieces from a library of content to create a customized email or offer for a client featuring relevant images, videos, or articles.

Chatbots and Conversational Experiences

With the development of natural language processing through AI, chatbots are now being used to augment customer service agents. Customers with more basic queries can refer to chatbots which will give immediate, accurate answers. They will be able to leverage past questions and historical data to deliver personalized results. This gives time back to customer service agents to work on complicated requests that need more human nuance.

Predictive Marketing Analytics

With so much data coming, marketing teams are having a hard time actually deriving insights from it. AI allows marketing teams to make the most of this data using predictive analytics, which leverages an assortment of machine learning, algorithms, models, and datasets to predict future behavior. This can help marketing teams understand the types of products a consumer will be looking for and when – allowing them to position campaigns more accurately.

Predictive Marketing Analytics

Image Credit: WooCommerce

For example, as can be seen from the image above, Amazon uses predictive analytics to suggest products to consumers based on past purchases and behaviors, increasing conversions and customer satisfaction.  AI can also be used to help marketing teams more accurately track attribution, allowing teams to see which campaigns contributed most to ROI.

Marketing Operations & Dynamic Pricing

Another key use case for AI in marketing is to increase efficiency across various processes.  AI can help to automate tactical processes such as the sorting of marketing data, answering common customer questions, and conducting security authorizations. This allows marketing teams more time to work on strategic and analytical work.

In matters of Dynamic Pricing, most AI marketing tools can help make brands more competitive by enabling dynamic pricing. AI platforms can suggest optimal prices for products in real-time by evaluating huge quantities of historical and competitive data.

The Waste In Advertising - Stats and Solutions of Misattribution

Image Credit: Waste In Advertising

This strategy has been especially effective in retail. It allows brands to adjust prices to reflect demand for certain products, boost sales, and edge out the competition.

Applications of AI in business management include:
  • spam filters
  • smart email categorization
  • voice to text features
  • smart personal assistants, such as Siri, Cortana, and Google Now
  • automated responders and online customer support
  • process automation
  • sales and business forecasting
  • security surveillance
  • smart devices that adjust according to behavior
  • automated insights, especially for data-driven industries (eg financial services or e-commerce)
AI in e-commerce can be evident in:
  • smart searches and relevance features
  • personalization as a service
  • product recommendations and purchase predictions
  • fraud detection and prevention for online transactions
  • dynamic price optimization
Examples of AI in marketing include:
  • recommendations and content curation
  • personalization of news feeds
  • pattern and image recognition
  • language recognition – to digest unstructured data from customers and sales prospects
  • ad targeting and optimized, real-time bidding
  • customer segmentation
  • social semantics and sentiment analysis
  • automated web design
  • predictive customer service

Artificial Intelligence (AI) is all around us. You have likely used it on your daily commute, searching the web, or checking your latest social media feed. Whether you’re aware of it or not, AI has a massive effect on your life, as well as your business.

The above are only some of the examples of AI uses in business. With the pace of development increasing, there will likely be much more to come in the near future. And with the emergence of new and diverse Industry 4.0 technologies, there are many other examples of digital innovation in business.

The Best AI Marketing Tools For Marketers

In nutshell, an AI marketing tool is a software or platform that uses artificial intelligence technology to create automated decisions. These decisions are based on collected data that’s analyzed and interpreted together with the market trend. The goal is to develop a marketing strategy that anticipates the buyer’s next move.

All of this is done in real-time without the intervention of an actual human. It’s this capacity to make automated decisions at lighting speed that makes AI marketing tools for business so formidable. Speed is the number one reason why artificial intelligence marketing tools should be present in every business.

An AI tech crunches huge chunks of information taken from platforms like social media, email, and the Web. It also bridges the gap between the data and the actionable solutions you can implement to improve your marketing and sales campaigns.

Related Topics: Marketing Tools For Web Marketers To Win Their User’s Trust

Many companies — and the marketing teams that support them — are rapidly adopting intelligent technology solutions to encourage operational efficiency while improving the customer experience. Through these platforms, marketers are able to gain a more nuanced, comprehensive understanding of their target audiences.

The insights gathered through this process can then be used to drive conversions while simultaneously easing the workload for marketing teams. In reality, the capability of performing tasks that typically require human thought. In that case, the implications will change virtually every aspect of our world. AI is rapidly spreading throughout civilization, where it has the promise of doing everything. From enabling autonomous vehicles to navigate the streets to making more accurate hurricane forecasts.

Unfortunately, most people aren’t familiar with which technologies to choose from the A.I. Marketing Tools bucket list. And, they still spend a lot of manual time doing the stuff that can already be automated.

To be honest, up until now, I was also doing a lot of them manually, but over the last six months to a year, I’ve come to learn a lot about these tools. With that in mind, let’s just dive right in.

1. is a tool that generates tons of copies from just one basic summary text that you input into it. From product descriptions to paid ad copy, to even blog titles, it can greatly help you in several different copywriting areas and marketing activities.


Next is the If you hate doing presentations because hey, the design sucks, it’s messy, takes a lot of time, etecra etecra, this tool is a perfect fit for you. It uses AI to automatically enhance your designs accordingly so that your content looks just that — beautiful. And, adjusts it based on your overall content.

So, you don’t even need to worry about messing with the layouts.

3. Picture Tools

Then, you got the Profile Picture Maker! This tool uses AI to remove the background from your photos and make amazing profile photos. And, as a result, you can easily use these photos on social media networks or even on your web company about pages. Such as those headshots that webmasters use to showcase their executive web pages.

The end result is pretty amazing, and best of all, it’s absolutely free.


By the same token, is yet another great tool that allows you to remove the background from any video that you shoot. Bearing in mind, most novice designers are just like; ” Oh yeah, I can remove background images.” Well, this is not the case! I am talking about video images. You don’t even need a green screen or anything sort while using this tool.

Suffice to say, it’ll remove even the most complex video image backgrounds for you.


In the same way, you’ve got Now, you don’t even need to be a content creator or even hire a graphic designer to come up with a logo for your business. For one thing, this tool uses AI to create logos automatically for you based on a set of preferences. In this case, it creates dozens and dozens of different variations.

Basically, allowing you to easily pick and choose from. Not only that; if you like one of them and want to use it in your business, you can purchase that logo right then and there.


Specifically, is a tool that is basically analytic on steroids. And, one thing is for sure, it will automatically track all the events on your website and then come up with suggestions of things that you could be doing to better improve your overall site performance. It pretty much does a lot of stuff automatically for you.

Notably, it will look at things like your conversion funnels, identify their strengths and weaknesses, opportunities for improvements, etc.


Moving on with our list is Simply put, if you are camera shy like myself and you don’t like to talk in public, you may just fall in love with this tool. Eventually, it custom generates for you videos that look almost identical to a human speaking, and it’ll tailor everything and almost freak you out because it’s presumably pretty realistic.

8. Speechelo

Speechelo is a text-to-speech system built by Blaster Suite Software in this case. In addition to its human-sounding voiceovers, it is the only text-to-speech software that offers over 60 different variations of voiceovers in 23 languages. Luckily, it’s not even necessary to install Speechelo on your computer, unlike other TTS software.

9. Phrasee

Phrasee is an AI tool that focuses on “brand language optimization.” This AI-powered marketing platform works by boosting the brand language used by companies in their copies. It can generate a copy for emails, Instagram, Facebook, or even push notifications using a natural language generation system together with a machine learning algorithm. The result is a human-sounding copy that is brand-compliant and effective. It counts Virgin and Domino as among its clients.

10. SEMRush

SEMrush is the Swiss Army knife of SEO tools. Its entire suite lets you perform SEO, content marketing campaigns, social media marketing, PPC, analytics, and more. One of its strongest features is its position tracker. It provides businesses with a chance to track how they rank for keywords against rival sites. You can even see how your site ranks against the Top 100 in Google’s organic or paid results. Another great feature is its Content Marketing Toolkit. It lets users perform topic searches to find out what’s trending and create content marketing plans from there. They count popular ethical skincare brand, Lush Cosmetics, among their clients.

Other Mentions:
  1. Well
  2. Pager
  3. PathAI
  4. Emotech
  6. Covera Health
  7. Atomwise
  8. Optimove
  9. Cruise
  10. iRobot

The use of artificial intelligence (AI) in marketing has hit the mainstream. You would be hard-pressed to find companies — big and small — that don’t use top AI marketing tools to promote their brands or businesses. That said, you can see the full list of 28 examples of Artificial Intelligence shaking up business as usual in detail.

If you’re a blogger, an e-commerce entrepreneur, or an affiliate marketer, taking advantage of AI-powered marketing tools should be a part of your business game plan. With it, you can run and put together an effective marketing strategy that would allow you to hit your goals faster.

Artificial Intelligence Solutions Challenging Downsides

According to Wikipedia, through a phenomenon that is known as the AI effect, we can say that we are not quite out of the woods yet. A quip in Tesler’s Theorem says “AI is whatever hasn’t been done yet.” For instance, optical character recognition is frequently excluded from things considered to be AI. In particular, it has become a routine technology.

Modern machine capabilities generally classified as AI include successfully understanding human speech. In addition to competing at the highest level in strategic game systems. Such as chess and Go, autonomously operating cars, and intelligent routing in content delivery networks and military simulations.

Modern AI marketing tools heavily rely on an in-depth understanding of customer needs and preferences, and then the ability to act on that knowledge quickly and effectively. The ability to make real-time, data-driven marketing decisions has brought AI to the forefront for marketing stakeholders.

However, marketing teams must be discerning when deciding how to best integrate AI into their campaigns and operations. The development and use of AI tools are still in the early stages. Therefore, there are a few challenges to be aware of when implementing AI in marketing.

Training Time and Data Quality

AI tools do not automatically know which actions to take to achieve marketing goals. They require time and training to learn organizational goals, customer preferences, historical trends, understand overall context, and establish expertise. Not only does this require time, but it also requires data quality assurances.

By all means, the AI marketing tools training should be considerate of high-quality data that is accurate, timely, and representative. Otherwise, the tool will make less than optimal decisions that do not reflect consumer desires. And, thereby reducing the value of the tool.

Consumer Date Privacy Concerns

Consumers and regulating bodies alike are cracking down on how organizations use their data. Marketing teams need to ensure they are using consumer data ethically and in compliance with standards such as GDPR, or risk heavy penalties and reputation damage.

So, as far as AI is concerned, GDPR Cookies Privacy Policy concerns are quite a big challenge. Specifically, it means that the programming of AI marketing tools should observe specific legal guidelines. If not, they may be overstepping beyond what is best acceptable in terms of using consumer data for personalization.

AI Marketing Tools Investments Buy-In

It can be difficult for marketing teams to demonstrate the value of AI investments to business stakeholders. While KPIs such as ROI and efficiency are easily quantifiable, showing how AI has improved customer experience or brand reputation is less obvious. With this in mind, marketing teams need to ensure they have the measurement abilities to attribute these qualitative gains to AI investments.

Adapting To Changing Marketing Landscape 

With the emergence of AI comes a disruption in the day-to-day marketing operations. Marketers must evaluate which jobs to replace and which jobs to create. One study suggested that nearly 6 out of every 10 current marketing specialist and analyst jobs will be replaced with marketing technology.

AI Marketing Tools Deployment Best Practices

In reality, because AI is a newer tool in marketing, there are no establishments of definitive best practices to guide marketing teams’ initial deployments.

Speed is the number one reason why artificial intelligence marketing tools should be present in every business. An AI tech crunches huge chunks of information taken from platforms like social media, email, and the Web. It also bridges the gap between the data and the actionable solutions you can implement to improve your marketing and sales campaigns.

Important to realize, to begin with, a thorough plan when leveraging AI in marketing campaigns and operations. This will ensure marketing teams minimize costly challenges and achieve the most value from their AI investment in the least amount of time. Before implementing an AI tool for marketing campaigns, there are a few key factors to consider:

Establish Goals

As with any marketing program, it is important that clear goals and marketing analytics are established from the outset. Start by identifying areas within campaigns or operations that AI could stand to improve, such as segmentation. Then establish clear KPIs that will help illuminate how successful the AI-augmented campaign has been – this is especially important for qualitative goals such as “improve customer experience.”

Data Privacy Standards

At the outset of your AI program, be sure that your AI platform will not cross the line of acceptable data use in the name of personalization. Be sure to meet the definitive privacy standards. And that it’s easily programmable into platforms as a need to maintain compliance and consumer trust.

Data Quantity And Sources

In order to start with AI marketing tools, marketers need to have a vast amount of data at their disposal. This is what will train the AI tool in customer preferences, external trends, and other factors that will impact the success of AI-enabled campaigns. Keeping in mind, the data acquirement source can be just anything.

From the organization’s own CRM, marketing campaigns, and website data. Additionally, marketers may supplement this with second and third-party data. This can include location data, weather data, and other external factors that may contribute to a purchasing decision.

Acquire Data Science Talent

Many marketing teams lack employees with the necessary data science and AI expertise, making it difficult to work with vast amounts of data and deliver insights. To get programs off the ground, organizations should work with third-party organizations that can assist in the collection and analysis of data to train AI programs and facilitate ongoing maintenance.

Maintain Data Quality

As machine learning programs consume more data, the program will learn how to make accurate, effective decisions. However, if there’s no data standardization and free of errors, the insights will not be useful. And can, actually, cause AI programs to make decisions that hinder marketing programs.

Prior to implementing AI marketing, marketing teams must coordinate with data management teams and other lines of business to establish processes for data cleansing and data maintenance. When doing so, there are a few essential data dimensions to always bear in mind.

Consider the following:
    • Timeliness
    • Completeness
    • Consistency
    • Relevance
    • Transparency
    • Accuracy
    • Representativeness

Selecting the right platform or platforms is a crucial step in getting an AI marketing program off the ground.

Selecting An AI Platform

Marketers should be discerning in identifying the gaps that the platform is trying to fill and select solutions based on capabilities. This will revolve around the goal marketers are trying to achieve – for example, speed, and productivity goals will require different functionality.

More so, than tools used to improve overall customer satisfaction with AI. One thing to keep in mind when selecting a tool is the level of visibility you will need regarding why an AI platform made a certain decision.

Depending on the algorithm in use, marketing teams may get a clear report on why a certain decision is more reliable. As well as which data influences the decision. Bearing in mind, that algorithms working on a more advanced level with deep learning may not be able to give definitive reasoning.

Summary Notes:

Machine learning and AI marketing tools aren’t new. For years, companies have always looked towards technology to apply improvements in their work systems and draw actionable insights to improve revenue. But now, with an increasingly digital landscape, the use of top AI marketing tools has been deemed a necessity and no longer a luxury.

The concept of AI Marketing Tools dates back to the 1940s. And, the term “artificial intelligence” first came in at around the 1956 conference at Dartmouth College. Over the next two decades, researchers developed programs that played games and did simple pattern recognition and machine learning.

Cornell University scientist Frank Rosenblatt developed the Perceptron, the first artificial neural network, which ran on a 5-ton (4.5-metric ton), room-sized IBM computer that was fed punch cards. But, it wasn’t until the mid-1980s that the second wave of more complex, multilayer neural networks development came by.

Particularly, in order to tackle higher-level tasks. In the early 1990s, another breakthrough enabled AI to generalize beyond the training experience. And, in the 1990s and 2000s, other technological innovations — the web and increasingly powerful computers — helped accelerate the development of AI.

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With the advent of the web, large amounts of data became available in digital form. By the same token, Genome Sequencing and other projects started generating massive amounts of data, and advances in computing made it possible to store and access this data. We could train machines to do more complex tasks.

You couldn’t have had a deep learning model 30 years ago, because you didn’t have the data and the computing power. As a business, it’s important to leverage AI marketing tools to create a sustainable, forward-thinking brand designed to last for years to come.

Whatever the case, our team of Web Tech Experts is always here to help you out. More so, in order to create a plan and utilize the best AI Marketing Tools for your business. Just Consult Us and let us know how we can sort you.

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