Introduction
What is AI in Digital Marketing?
In digital marketing AI describes the process of implementing artificial intelligence into techniques like machine learning, natural language recognition, and programmed analysis.
Such technologies help the marketers to target and engage customers, manage a variety of processes, and analyze information on a scale that was just not possible before, all these helps the marketers to create value for customers. There are new tools of AI in the market these days .
About their products and services they say they simplify duties for marketing professionals and do it faster and more intelligently. There are many tools to research because they are in the developmental stage and not all tools are created yet.
They claim to make marketing professionals' duties easier, faster, and more intelligent. There are a plethora of tools to research because these are still in their infancy and not all of them are fully developed.
Pro Tip: You can check out Fibr’s new AI tool, that helps you generate AI content, tailored to your needs efficiently.
Some Statistics Related to AI in Digital Marketing
AI is a major component in digital marketing. It can serve various functions, including enhancing marketing and offering a more thorough grasp of clients. Digital marketing can become even more data-driven, individualised, and efficient as AI advances. It is important to pay attention to AI. Here are some stats to back the point
88% of marketers are sure that in order to meet the customer’s needs and to be competitive their company has to use automation and artificial intelligence more actively.
AI is currently being used by 61.4% of marketers in their campaigns, while 44.4% of these are using it to develop content.
As long as generative AI in marketing and advertising doesn't negatively affect the user experience, 62% of consumers are comfortable with it.
64% of customers are willing to buy a new product that generative AI recommends.
26% of businesses use artificial intelligence (AI) for sales and marketing, and 22% use virtual assistants or conversational AI explicitly.
According to 58% of marketers, the greatest advantage of using generative AI in content development is improved performance.
AI Digital Marketing Tools
Although ChatGPT is the most recognizable generative AI technology, there are tons of others to help marketers in their daily practice. It can assist the marketers with a variety of chores such as design, search engine optimization, automation and content.
Here is the list of some of the Best AI Tools:
Fibr - Fibr is the best AI tool for marketers since it can quickly and effectively produce high-quality, on-brand content. Fibr's multimodal capabilities result in coherent written and visual content, and its research of brand guidelines guarantees consistency in tone and voice. It combines automation with a human touch, saving time with automatic drafts and facilitating simple manual adjustments. Fibr's sophisticated grammar and plagiarism detection tools guarantee flawless, unique writing. Its collaborative features and creative inspiration also boost team creativity and productivity. Fibr is the best option for marketers looking to improve their content strategy. Schedule a demo right now!
Midjourney: Generative AI capable of translating natural language commands into visuals.
Manychat: Uses natural language processing (NLP) to provide users with an engaging consumer experience on social media sites like WhatsApp.
Writer: A well-liked content creation tool with an AI writing help and the ability to repurpose content.
Zapier: Connects apps and services that your business uses to help automate workflows.
Optimove: An AI-powered marketing platform with client data features.
Perplexity: Similar to ChatGPT, but better suited for academic purposes due to its more explicit use of web citations.
Surfer SEO: It is a cloud-based on-page SEO tool that evaluates and contrasts your sites with what is currently showing up in search engine results.
Evolv.ai: Enhances consumer experiences instantly with AI and machine learning techniques.
How to Use AI in Digital Marketing?
1. Creation of images and content
Marketing teams are frequently under pressure to provide content fast for a variety of platforms and purposes. But producing quality content requires time and work, and many marketers lack these resources.
The reason generative AI tools have become so popular is because they enable content generation within no time. This might include blog posts, landing sites, ad copy, email subject lines, or anything else you require for your content marketing. AI writing prompts can also be used to craft attention-grabbing headlines and tailor material to your target audience, thus promoting personalisation. AI can also be used to manage your relationships and improve your influencer marketing initiatives.
You save money and time by using these tools. But before going live, be sure to check over any content to make sure it has personality and aligns with your brand identity.
Bonus Tip: With Fibr’s AI powered Content Generator you can create blogs, marketing emails, make outlines, and come up with blog ideas.
2. Search Engine Optimization
Search engine optimisation (SEO) is one field in which artificial intelligence has enormous potential. In order to rank online sites, search engines like Google have been using complex algorithms that crawl and index the pages. Through Search Generative Experience (SGE), AI is now being further integrated with that process, drastically altering the search landscape.
In addition to producing meta tags and headings, AI can analyse user behaviour to automate and enhance keyword research and content optimisation. Through predictive SEO, marketers may also use it to forecast user behaviour, algorithm changes, and SEO trends.
AI can assist improve both voice and visual search, which are becoming more and more significant methods for consumers to obtain information. This can be achieved by emphasising long-tail and natural language processing (NLP) keywords and adding pertinent information to photos.
3. Pay Per Click Advertising
With pay-per-click (PPC) advertising, you only have to pay when a user clicks on your advertisement. PPC marketing is a valuable technique since it may quickly yield results, reach new customers through focused ads, and be readily adjusted and optimised.
AI can improve your pay-per-click (PPC) campaigns by:
Research on keywords
Targeting and bidding
Advertising production, scheduling, and placement
Analytical prediction
Fraud detection
Marketers can expect to see new PPC ad styles, targeting strategies, and measurement tools as technology advances. This is the reason it's critical to monitor changes and remain current.
4. Customer Service and Support
AI powered chatbots have long been used to interact with and inform consumers. People stick to chatbots first when they want to engage with a company or receive immediate answers to basic questions.
On the other hand, AI plays a bigger role when it comes to customers. By personalizing messaging and content, anticipating wants, expediting purchases, and resolving questions or issues with the appropriate department or agent, it can enhance the customer experience.
5. Data Analytics
Marketers can feel overpowered by the abundance of data accessible from a variety of platforms. Artificial intelligence, however, is capable of quickly processing enormous amounts of data. This can assist marketers in deriving insights from data and in forecasting patterns and behaviours based on historical data.
AI can also be used to find patterns and identify discrepancies in data. AI and data analysis working together can promote hyper-personalization. Your messaging and approach can be more precisely focused the more you know about your clients. For instance, it can be applied to retail to improve customer service and manage inventories.
Excellent data analysis features are offered by ChatGPT, particularly when using its Advanced Data Analysis plugin. This allows you to feed a spreadsheet to ChatGPT, which in turn lets you find deeper insights beyond the spreadsheet's contents.
In the end, it comes down to integrating AI technology in data analysis to produce more insightful business decisions in a way that suits your needs.
6. Customer Segmentation
Targeting and segmenting your consumer base can help you find and win over your most valuable clients. But doing it by manually can be expensive and time-consuming.
AI could split up your prospects and customers into groups or subsets based on shared needs, interests, or behaviours by using algorithms.
Subsequently, you can target and interact with these groups by using real-time, adaptable, and tailored messages. While Natural Language Processing (NLP) can analyse client feedback and reviews to improve your products, services, or customer experience, recommendation systems can make suggestions for goods, services, or offers that correspond with customer preferences.
7. Email Marketing
Since email marketing is still a powerful tool for engaging customers and converting prospects, it should be a key component of every marketing plan. You may increase efficiency and save time with your email marketing by utilising AI technologies.
Using AI in emails allows you to:
Examine email performance to find ways to improve your email tactics (such as using effective subject lines).
Construct workflows that are triggered by user input.
Analyse campaigns and workflows.
Write content with your target audience in mind.
Customise material for certain audience groups.
Turn on dynamic content and do A/B testing.
By analysing data to ascertain the worth of an email address or email list, AI may also curate your email lists. By monitoring the value each email generates and examining its frequency, you may also gain insights regarding the timing of your emails.
8. Reducing Admin Work
Digital marketers spend a lot of time in meetings and on administrative work, just like in any other professional function.
By utilising AI and automation solutions, business professionals can save an average of two hours and twenty-four minutes every day.
AI systems are capable of doing manual tasks such as making appointment schedules, taking notes, and summarising research and articles. For instance, 63% of marketers use AI solutions for meeting summaries and note-taking. These tasks may not be attractive, but they allow marketers to focus their time on more significant and imaginative aspects of their work.
9. Personalized Content
71% of marketers who use AI feel it helps them customize the client experience they offer. This implies that AI has the ability to alter a customer's experience based on their online activity or if they have completed a form for your business. For instance, dynamic content varies based on the user's name, profession, online activity, etc. With the help of AI tools like Fibr, a user can interact with marketing materials like emails, social media postings, and web sites in a more personalized way.
10. Improving Customer Experience
AI can assist marketers in providing the greatest experience possible for their website visitors in order to convert them into leads. Digital marketing is all about the customer experience. AI can enhance assets, surprise customers with personalized content, and promote customer loyalty and retention.
Pros of Using AI in Digital Marketing
Enhanced ROI: As you can see, using AI for digital marketing primarily aims to boost campaign performance and ROI. By utilising data analytics and insights, you may create superior marketing assets instantly, instead of wasting money on a campaign that ends up being ineffective. By doing this, you may free up time and money for your marketing team to work more productively and boost sales. Boosting your ROI also means reducing staff time and production costs.
Better Customer Experience: Utilising AI in marketing also has the benefit of strengthening consumer relationships. They are more likely to become repeat customers if you make recommendations that are more tailored to them and if you build stronger ties with them. AI is also capable of identifying clients who are likely to leave and re-engage them with your business by enrolling them in an automated marketing campaign.
Speed and Efficiency: According to two thirds of marketers, the greatest benefit of generative AI in marketing is time savings. To what extent? Marketers claim that using AI to create a single piece of content saves them more than three hours. In addition to giving you more time and energy to do more and devote your time where it counts most, this enhances your brand. Being the first in a market is a significant benefit, as all marketers are aware of. It's crucial to be able to quickly pivot and start campaigns in a matter of hours or days, regardless of whether you're starting digital ads or creating social media campaigns based on popular cultural moments.
Data-Based Marketing Decisions: AI can facilitate corporate growth by using data to forecast trends, evaluate consumer behaviour, and provide efficient marketing materials. AI helps you efficiently contact more clients and increase sales by automating these operations, freeing you up to concentrate on other crucial areas of your organisation.
Cons of Using AI in Digital Marketing
Content Quality and Accuracy: Despite significant advancements, generative AI still has several flaws in its content. Particularly problematic are factual errors: Marketers report that generative AI has given them false information 47% of the time. The quality of your work can suffer if you utilize AI to create it without having a human editor. Some of the things that are critical to the success of the AI are accurate, timely, and high-quality data.
AI can generate text which is biased, has factual errors, or has the wrong tone for your brand, despite not having a human editor. Human supervision is necessary when using AI to prevent errors of this nature. These problems usually occur with AI tools that generate robotic content, which is why resorting to brand specific AI powered tools can help you be specific about your brand as it allows you to give human touch to the generated content.
Evaluating Non-Quantifiable KPIs: Getting your organisation to engage in AI may be challenging because non-quantifiable KPIs are involved. While some metrics are easy to monitor, other metrics like raising brand recognition, enhancing reputation, or improving customer experience are difficult to track.
Privacy: Customers now place a higher emphasis on privacy as marketing materials have gotten increasingly customised over time. Certain AI strategies rely on predicting future purchases by utilising a customer's past online activity and cookies. If your marketing team installs and employs AI software, you must ensure that you abide by privacy regulations like GDPR.
Copyright Concern: Since AI is a new technology, its legal foundation is still being developed. Since generative AI technologies are trained on publicly available material from thousands of businesses, it's likely that they will produce content that is perhaps too similar to that of your rival. You may not genuinely own AI-generated content in the same way because copyright regulations are framed around human authorship.
Future Trends in AI and Digital Marketing
Advances in Image and Video Identification
AI is advancing the fields of image and video recognition. With these developments, marketers can now analyse photos and videos to determine how customers feel about a brand and how they perceive it. Users can now locate products using photographs thanks to AI-powered visual search, creating new e-commerce options.
Outstanding Management of the Customer Experience
Hyper-personalization will be possible with the enhanced customer experience management features that next AI solutions will provide. Artificial intelligence will personalise each step of the customer experience to each person's preferences, facilitating seamless integration at every stage, from first contact to after-sale care.
Improved Customer Journey Mapping
Digital marketing requires a critical understanding of the customer journey and its optimisation. Deeper insights into every phase of the client journey may be obtained via AI, which enables marketers to pinpoint problems and areas for development.
Optimisation of Voice Search
With an increasing number of speech-activated devices, it is becoming more and more necessary to make your website voice search friendly. With AI's help, marketers can create SEO strategies that target this growing market niche by better understanding the minor variations between text and voice search queries.
Experiences using Visual and Augmented Reality (AR)
Artificial Intelligence is revolutionising the way consumers engage with brands via augmented and virtual reality experiences. Specifically, augmented reality (AR) provides clients with engaging and dynamic ways to connect with goods and services. For example, clients may see how a piece of furniture would look in their home or how a new piece of clothing would fit thanks to AI-powered augmented reality. These interactions not only increase client involvement but also lessen the hesitancy and doubt that frequently accompanies internet purchasing.
Conclusion
We are aware that integrating artificial intelligence into your work might be challenging and intimidating. However, it is not to be seen as a threat. AI has the potential to be a very useful ally in your quest to accomplish your objectives.
AI tools are excellent at handling labor-intensive, routine, and predictable jobs. This gives you more time to concentrate on the more strategic and creative elements of your work.
Artificial intelligence is a game changer for marketers as it helps personalize, optimize and automate many key marketing activities.
Fibr, an AI-powered platform, is the best solution available to marketers who want to improve their content strategy.
It creates high-quality content that flawlessly fits your brand's voice and tone thanks to its smart algorithms and sensitivity to brand-specific nuances.
Using Fibr's robust features—which include enhanced image generating and on-brand content creation—marketers may improve teamwork and efficiency.
About the author
Pritam Roy
Pritam Roy, the Co-founder of Fibr, is a seasoned entrepreneur with a passion for product development and AI. A graduate of IIT Bombay, Pritam's expertise lies in leveraging technology to create innovative solutions. As a second-time founder, he brings invaluable experience to Fibr, driving the company towards its mission of redefining digital interactions through AI.
