Artificial intelligence (AI) is poised to play a central role in marketing. A high-level use case of AI is to make marketing more efficient. But that's just scratching the surface. Technology is transforming the implementation of modern marketing strategies, making marketing as we know it real-time, hyper-personalized, and highly predictive. It's not an exaggeration to claim that AI is revolutionizing marketing.

The Convergence of Marketing and AI

AI has touched all marketing strategies, from search engine optimization (SEO), social media marketing, and email marketing to media buying and customer data analysis. It supercharges marketing efforts, bringing more accuracy, predictive power, creativity, and innovation. AI is undoubtedly a game changer. It's not just ChatGPT, Jasper, or Grammarly, but a large and expanding ecosystem of AI marketing tools. Here's a look at how AI has made a place for itself in marketers' toolkits.

7 Creative Ways Marketers Are Using AI

1. AI-Powered Content Creation

Most marketers say it takes between one and six hours, on average, to write a piece of content. AI tools can aid marketers with various aspects of content creation. It's little wonder that 48% of marketers are now using AI to assist with content marketing, with 10% planning to use it in the future.

AI content assistants like Jasper can suggest article structures and create titles, meta descriptions, or entire paragraphs. OpenAI's GPT-3, widely available for public use, creates a human-like text of impressive quality. It helps create blog posts, social media posts, and video scripts, among other content strategies. Another generative AI tool, Phrasee, creates copy across the entire digital marketing journey.

AI-powered content generation tools generate ad copy and slogans and summarize data from interviews, documents, and multiple sources.

2. Image Generation for Social Media

Visual content is the holy grail of digital marketing. Before the ubiquity of AI, marketers had to learn graphic design and video production, outsource it, or make do with generic graphic design tools, stock photography sites, and standard templates. Now, some generative models have blessed marketers with a golden hand of detailed, high quality images that redefine creativity with every output. They also generate video footage, background music, subtitles, and text overlays and allow you to edit videos, helping power massive lifts in video editing of case studies, customer testimonials, podcasts, and product explainers.

MidJourney produces unique art and images from prompts using a generative adversarial network that creates an image and then analyzes it for authenticity. DALL-E 2 creates unique photorealistic images from descriptions, blending styles, concepts, and attributes.

3. Dynamic Content Personalization

Personalized content but make it dynamic.

Thanks to artifical intelligence and automation, you can show users the most relevant content in real time based on their data, including browsing behaviors and purchase and interaction histories. Marketers use dynamic content personalization for email, websites, landing pages, and social media.

Serving users content relevant to them in their customer journey increases the likelihood of conversions. For example, Dynamic Yield captures person-level data to customize user experiences across websites, mobile apps, and email on the fly. It gives users the ability to leave no stone unturned in serving the right content to their target audience at the right time.

4. Predictive Customer Analysis

AI models have an incredible capacity to learn from customer data, which is why sales and marketing teams today leverage predictive models. Predictive customer analysis uses AI to forecast customer behavior, segment users, and tailor marketing strategies. It enables marketing teams to optimize campaigns, improve customer engagement, and increase conversion rates.

Toplyne predicts among other things, new customers, expansion sales, cross-sells, and at-risk customers. The predictive analytics platform learns from your customer data sets and builds predictive models, helping your marketers improve forecasting accuracy without relying on internal engineering support.

Get a demo to put Toplyne through the paces and understand if it's a good fit for your needs.

5. Chatbots for Enhanced Customer Interactions

40% of consumers do not care whether a chatbot or human agent helps them as long as they get the answers they need. AI-powered lead generation chatbots engage potential customers effectively, asking for their names, email addresses, and other details. They're available to support lead generation 24/7 and help qualify leads automatically by determining whether a business has the interest, ability, and authority to purchase your product. For example, Drift's chatbot uses AI and natural language processing to engage site visitors in real-time conversations, answer questions, and collect information.

6. AI-Driven A/B Testing

AI increases the velocity of A/B testing and optimizes variations more effectively. AI-powered optimization platforms simultaneously test multiple webpage variations and rapidly adapt based on real-time performance. Adobe Target's AI and machine learning algorithms allow you to test multiple variations simultaneously to find the best version. Testing the experience and personalizing it to every visitor helps deliver the best customer experience across your website and app.

7. Behavioral Email Targeting

Businesses use AI for various aspects of email marketing, from personalizing content to scheduling emails based on triggers and rules. AI is also adept at sending emails based on real-time user behaviors. For example, the email marketing tool Optimove customizes email content based on previous email interactions and facilitates real-time personalization for specific campaigns. In the context of eCommerce, AI-powered tools send product recommendations or offers based on recent site interactions, even if a user didn't place an item in their cart. You may have observed it during your Amazon shopping sprees.

AI marketing is the future

The use cases of AI in marketing only continue to grow. From eliminating time-consuming marketing tasks to enabling highly personalized marketing campaigns and supporting real-time communications and data-driven decisions, the technology is transforming brand marketing. Advancements in AI technology and machine learning are pushing the boundaries of content optimization, customer engagement, decision-making, and predictive analytics.

Explore use cases of AI for marketing based on your existing strategies and workflows. Explore AI-powered marketing solutions, noting reviews and user experiences. Analyze tools that rank top for performance, ease of use, and price. A demo is the best way to make an intelligent decision. Catch the AI bus early to power your business growth and stay ahead in the competitive landscape.