Artificial intelligence (AI) has evolved to become an integral part of various industries, including the realm of marketing. But what does it imply when we talk about incorporating artificial intelligence in marketing? You might also wonder if there are any practical examples of artificial intelligence in marketing; well, it’s your lucky day because we have curated a list of 15 examples.
In this exhaustive piece, we will delve into 15 examples of artificial intelligence in the marketing domain. Tighten your seatbelts because this is going to be an exciting journey.
A curated list of 15 examples of artificial intelligence in marketing – Image via Pixabay
Artificial intelligence in marketing: 15 examples
Let’s get straight to the point and dive in to explore how artificial intelligence is making significant strides in marketing through these 15 examples. You can also explore our curated list of top marketing tools to try in 2023.
1. Generative AI
Content creation is a crucial aspect of marketing. Generative AI, exemplified by models like OpenAI’s ChatGPT, GPT-3, and GPT-4, empowers marketers to generate diverse content from blog posts and sales copy to images and videos. Additionally, many software-as-a-service (SaaS) platforms leverage AI to enhance content creation, targeting, and tracking.
2. Personalized recommendations
Amazon, Netflix, and Spotify – these digital giants have built their offerings around the ability to provide highly relevant and personalized product or content recommendations.
Other notable brands are following suit, implementing AI-powered recommendations. For instance, Sky has designed a machine learning (ML) model that recommends content based on the viewer’s mood.
Moreover, publishers are implementing AI-powered content recommendation widgets that can identify related content for readers and even personalize those recommendations based on their browsing habits.
AI has also revolutionized accounting. Read our blog to know more about it.
3. Chatbots and voice assistants
AI-driven chatbots have revolutionized marketing. Designed to engage with users through chat interfaces, they offer immediate responses and cater to diverse customer requirements.
There are primarily two categories of these chatbots: multi-purpose bots that function on platforms like websites or social media chat boxes, and personal assistants such as Apple’s Siri, Google Assistant, Amazon’s Alexa, and Microsoft’s Cortana.
4. Computer vision
Computer vision, a subset of AI, enables bots to interpret and make decisions based on digital images or videos. Drawing on pattern recognition and machine learning, it aspires to emulate the precision of human sight.
Consequently, big players like Facebook, Google, and Snapchat utilize visual recognition to enhance their user experiences, showcasing the technology’s widespread applicability and potential.
5. Affiliate marketing
AI can transform the affiliate marketing landscape by automating partner selection, optimizing commission strategies, and predicting the most profitable affiliations. By analyzing extensive datasets, AI identifies patterns to optimize affiliate marketing ROI.
This allows businesses to select partners that align with their target audience and product niche. Furthermore, dynamic commission structures can be set, adjusting in real-time based on product trends, seasonality, or affiliate performance.
6. Customer journey mapping
AI can analyze individual customer interactions across different touchpoints – from first contact to purchase – to create detailed customer journey maps. Consequently, these maps help marketers understand and predict the paths customers take, allowing for more personalized and effective interventions.
7. Search engine optimization (SEO)
Search engines like Google use AI technologies like RankBrain, an ML technology, to analyze search queries and process them into search results that are most likely to be what you’re looking for. AI-driven SEO is revolutionizing how websites rank, making optimization more efficient and targeted, leading to improved visibility and reach.
Like marketing, AI has also been making a major impact in the finance sector.
Applications of AI in marketing – Image via Pixabay
8. Website design
AI is also being used in website design. Platforms like The Grid and Durable Website Builder use AI to automate web design by intelligently recognizing and cropping images, selecting palettes and typography, and more. Consequently, AI can help create more efficient and visually appealing websites.
9. Localization
In the era of global marketing, it’s no longer enough to merely translate content; it needs to be localized to resonate with specific audiences culturally. AI tools go beyond basic translation by understanding and adapting content to the local nuances, slang, and cultural norms of different regions.
For instance, a campaign slogan that works well in the U.S. might not have the same impact when directly translated into Japanese. AI can analyze cultural contexts, local idioms, and historical references to craft content that feels native.
10. Predictive lead scoring
Leveraging historical data and ML, AI evaluates and ranks leads based on their conversion potential. This empowers sales and marketing teams to focus on high-potential prospects, enhancing efficiency and boosting conversion rates.
11. A/B testing
A/B testing, pivotal in modern marketing, leverages AI to optimize campaigns and user experiences. By presenting two variations (A and B) of a webpage, ad, or email to users, businesses can determine which version drives better results.
AI enhances this process by rapidly analyzing vast datasets, predicting outcomes, and even suggesting improvements. As companies seek to personalize and refine their strategies, AI-powered A/B testing offers a data-driven method to understand consumer preferences and boost engagement.
12. Automated content scheduling
Based on AI analysis of user activity and engagement patterns, some tools can automatically schedule posts, emails, or advertisements to go live at the most opportune times, maximizing reach and impact.
13. Brand safety
AI visual recognition tools can scan online content, especially videos and images, to ensure that a brand’s advertisements do not appear next to inappropriate or conflicting content. This safeguards the brand’s image and reputation.
14. Sentiment analysis
AI-powered sentiment analysis tools sift through social media posts, product reviews, and online comments to gauge customer feelings and perceptions about a brand or product. This helps marketers adjust their strategies based on real-time feedback from their audience.
15. Augmented reality (AR)
By combining AI with AR, a tailored shopping experience emerges. Through smartphone cameras, consumers can virtually “wear” clothes or envision furniture within their space. AI delves into user preferences, body metrics, or room sizes to recommend perfectly-suited products.
Unlock the potential of AI in your marketing strategies with our curated list of cutting-edge AI marketing tools designed to elevate your campaigns to new heights.
Wrapping up 15 examples of artificial intelligence in marketing – Image via Pixabay
Final thoughts
In conclusion, artificial intelligence is not just a buzzword in the field of marketing; it’s a powerful tool that is driving change and innovation, as depicted by these 15 examples. By leveraging AI, marketers can better understand their customers, create personalized experiences, and drive business growth.
As we move forward, incorporating AI into marketing is no longer just a choice; it’s essential for businesses to remain competitive.