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How AI Marketing Is Changing the Future for Businesses

How AI marketing is changing the future for businesses? Among the constants among content producers, marketers, and SEO strategists are the requirement to increase productivity and efficacy. And the ideal technique for accomplishing precisely that is content marketing using artificial intelligence (AI).


Organizations may improve operations, acquire a competitive edge, and eventually speed up growth by integrating AI technologies into content production and delivery.


How AI Marketing Is Changing the Future for Businesses


79 percent of marketing professionals said AI is one of the technologies that will have an impact on marketing in the future, according to the Drift leadership study.


This article will outline nine important advantages of AI content marketing. Read on if you want to learn more about the technology or if you're interested in how it may benefit your company.


What is marketing using AI?


The practice of using AI technology to produce and disseminate information is known as "AI content marketing." The development of automated content marketing campaigns to gather pertinent material from numerous sources falls under this category. AI content marketing is beneficial for:


Enhanced Engagement


Thanks to its capacity to evaluate user data, AI content marketing may assist you in enhancing user engagement on your website. You may encourage long-term loyalty among your audience by gaining a grasp of the themes that visitors are interested in and adapting the material accordingly.

Increased ROI


Using AI content marketing will help your company's ROI, which is one of the most important benefits. You may free up significant time to concentrate on more strategic efforts by automating particular aspects of your process.


Greater Brand Recognition


When used effectively, AI content marketing may raise brand awareness for your company. By sharing excellent material that is relevant to your audience, you may draw in new clients and promote the core values of your business.


Increased Optimization


One of the main advantages of AI content marketing is that it makes it possible to create and distribute content more effectively and efficiently because of algorithms that continuously learn from user behavior. AI may also assist you in locating possible content gaps and filling them with pertinent data.


Ultimately, you may optimize your workflow, boost productivity, and raise ROI by incorporating AI solutions into your current system.


At each stage of the Buyer's Journey, Artificial Intelligence in Content Marketing Operates


You can more successfully target people by leveraging AI content marketing, regardless of where a buyer is in the purchasing process.


Here are a few examples of how AI content marketing influences the various purchase stages:


Early Stage Buying: Artificial intelligence (AI) may be used to target prospective clients who are looking into goods or services. You can engage and turn these leads into customers faster with highly tailored content than with conventional marketing strategies.


Interested in the Product/Service But Not Ready to Commit: Before making an investment, marketers may use AI to analyze customer sentiment about a product or service if they are interested in it but not yet prepared to commit. Without taking any risks, this gives you invaluable information on what will work best for your company.


Take a look at our AI writing tools, which can be used to create compelling advertising, engaging marketing copy, and blog openers, among other things.


Committed and Prepared to Buy: When a consumer is committed to and prepared to purchase your good or service, AI may assist you in selling it to them more effectively. You may produce material that appeals to them by researching their preferences and studying purchasing trends.


A buyer with Experience: As consumers use your product or service more frequently, they are likely to choose their next purchase more wisely. The use of AI tools that monitor client behavior over time might offer insightful data on what works best for them.


5 Real-world Examples of Brands Using AI in Content Marketing


To increase their return on investment, several firms are adopting artificial intelligence in content marketing. Several instances include:


Persado's Partnership with Chase Bank


With the use of data science and AI, Persado technology develops creative content to produce copy that has been shown to be the most effective message for certain clients and customer groups.


A well-known financial organization, JP Morgan Chase Bank, uses Persado's machine-learning technology to produce interesting and human-like content for its clients.


The outcomes?


By integrating Persado's machine learning platform, Chase saw click-through rates for ads produced by Persado increase by as much as 450%, as opposed to others seeing increases of between 50 and 200%.


eBay Uses Brand Language Optimization


Always a trailblazer and innovating, eBay began using the AI-powered copywriting tool Phrasee in 2016.


With the help of Phrasee's technology, Facebook advertising, email subject lines, and push notifications can all be automatically written and optimized at scale.


After receiving data about a brand, Phrasee creates human-sounding content in the brand voice.


The solution can generate thousands of computer-written messages in a matter of minutes. Message lines are A/B tested once they are written at scale, and Phrasee then makes use of the results to determine how to write for even better engagement.


Dell Automates Newsletters using AI


Dell is enhancing the creation and distribution of newsletters by utilizing artificial intelligence. As a result, it now takes less time to develop and distribute newsletters, and engagement rates have gone up.

Additionally, Dell is automating the development of content through the use of AI in content marketing. This makes it possible to provide more tailored content, which improves consumer retention and engagement across several platforms.

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AI is used by Mastercard to create content.


In 2014, Mastercard introduced its "Priceless Engine," which was called after the corporation's well-known, long-running marketing campaign. In 2017, Mastercard bought Brighterion, a software startup focusing on AI technology.


It makes use of AI to foresee and respond to "micro trends" on social media, which only last a few days. The Middle East has access to AI-powered tools.


Sephora Chatbot


Sephora employs two bots: Color Match and Reservation Assistant. The first one acts as a booking bot for appointments at Sephora retail locations.


It makes use of NLP and has an 11% greater conversion rate for reserving in-store slots than any other channel. Another bot performs makeup simulations.


Artificial intelligence in Content Marketing: Advantages


Artificial intelligence might be an effective tool if you want to advance your content marketing. The following nine advantages of employing AI content marketing:

Calculate Keyword Intent


Some keywords have a very clear intention, and they are often words with modifiers prefixed or suffixed to them. For illustration:


“Where”, “Buy”, “How”, “When”, “Coupon”, etc.


But what if a keyword is entered without any modifiers? If the keyword is just "dogs," it becomes more difficult to determine what sort of content to optimize.


Here, AI assists in rapidly and precisely determining the user's search intent hidden behind keywords.


Identify Ideas for Blog Posts


If you're seeking blog writing ideas, artificial intelligence may be a terrific resource. For instance, Scalenut's topic cluster tool may assist a firm come up with a ton of new blog themes.


Moreover, you may locate popular content topics or ideas by leveraging AI-generated insights like monthly search traffic or keyword difficulty.


Take a look at our AI writing tools, which can be used to create compelling advertising, engaging marketing copy, and blog openers, among other things.


Create and Improve Your Content for SEO


The domains of SEO and content marketing have made extensive use of AI. In reality, Google has already started analyzing its search results using AI and machine learning.


With each Google algorithm change, the on-page SEO strategies used to improve content for search results have also advanced.


In the end, AI SEO Content is an AI-based technology that aids in content creation and optimization to make it simpler for search engines like Google to locate and comprehend.


To help its customers develop content using AI and further optimize it for search results, Scalenut's SEO Hub accomplishes just that.


Create a Variety of Hyper-personalized Content


A more advanced kind of individualized marketing is hyper-personalisation. Every user will receive more relevant material, product, and service details thanks to the process's usage of AI and real-time data.


This is accomplished through building tailored and personalized experiences using data, analytics, and AI.


For instance, Airbnb started utilizing location services to automatically fill out a number of forms depending on the service the website visitor wanted to sign up for. Once a visitor registers, each trip is specific to that individual since it has an exhaustive history of all of their interactions with the site.


Similarly to this, Reebok utilizes email to retarget customers who leave the site without making a purchase by suggesting goods based on their previous browsing activity.


Automate the workflow for content marketing


Automation in AI content marketing refers to the use of software to simplify as many aspects of the content marketing strategy as feasible.


This covers the creation and delivery of content as well as team productivity and content execution evaluation.

Consolidating content planning, ideation, and performance monitoring under one roof is a fantastic example.


Analyze and Monitor Content Performance


The success of content marketing depends on measurement. You may adjust your plan as necessary by monitoring and assessing the effectiveness of your content using AI.


Common indicators tracked by AI content performance analytics include page visits, engagement rates, calls to action, and shares.


Obtain Content Scoring for Quality Verification


For you to be successful as a blogger, you must provide high-quality material. But evaluating the caliber of your blog entries objectively might be challenging.


AI content rating services are helpful in this situation. They may assist you in identifying problem areas and make sure that each blog post is rigorously reviewed before publication.


For instance, Grammarly evaluates your content's tone, readability, and grammar mistakes before awarding it a grade. This not only enables you to see where improvements are needed but also protects you against poor search rankings brought on by low-quality material.


Enhance the user experience


Artificial intelligence has had a significant influence on user experience by offering users smarter content and improved customer assistance.


Users who receive content suggestions based on their search history are one real-world example.


As a result, AI tracks your online activity, including the blogs you read, your email usage, the websites you visit, and the overall time you spend on a certain website. These inputs enable AI to provide you the most pertinent information possible.


Utilizing this instrument has been a lot of fun. Nothing in Scalenut feels flimsy, and the UI and UX are carefully thought out. Whether you use the long-form or short-form generator, the AI produces excellent results.


Analyzing Predictive Content for Useful Insights


Web data analytics includes a component called AI Predictive Analytics, which focuses on what visitors to your website will require and do. It analyzes potential future events and presents insightful business information using data, statistical algorithms, and artificial intelligence approaches.


Adaptation Advice for AI Content Marketing


The top practical pieces of advice for adjusting to AI content marketing are as follows:


  1. Instead of taking on too much too soon, begin using AI on modest data sets.
  2. Obtain a number of AI-based trial projects.
  3. Spend some time learning about the capabilities of current artificial intelligence technologies.
  4. Determine the precise issue that you wish to tackle with AI.
  5. The potential commercial and financial value of the different AI implementations you've found must be taken into account.
  6. Strike a balance between your desired outcome and the organization's capacity to carry it out in the allotted amount of time.
  7. Create a task force to combine several data sets, remove all discrepancies, and ensure that the data is reliable and comprehensive.

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