Top 10 Generative AI Tools for Marketing in 2023 & its Use Cases
Optimization – Take an existing article and use AI to incorporate specific keywords or facts provided by you. Prompt AI to revise or fine-tune language to improve readability, engagement, and conversions. All this might lead some CMOs to advocate a wait-and-see approach, but that would create an even bigger threat to their company. One risk is that rivals deploy the technology first, leading to an advantage in innovation in customers’ eyes and an ability to set the “rules” of deployment in a given industry. A second is that early movers become hubs for top data and engineering talent required to compete.
Sprout Social helps you understand and reach your audience, engage your community and measure performance with the only all-in-one social media management platform built for connection. Hemingway Editor uses machine learning (ML) to identify editing opportunities at a sentence level to make your writing stronger. It analyzes your content and suggests where to make it clear, more concise or improve your diction. Additionally, it gives you a readability score and grade level to assess the overall performance of your content.
AI marketing tools your team should be using in 2023
AI can ultimately help you amplify your messaging across channels and distribution engines without requiring hours of coordination with other teams to create brand-new copy for various channels. Learn how you can leverage AI to become a more powerful marketer in 2023 with brand-new original data from 1,350 U.S. professionals plus expert insights. Recently, we found 65% of customers say they will stay loyal if the company offers a more tailored experience. Though generative AI is still in its early stages, here are three ways marketers can use it today to better connect with customers. Generative AI has raised considerable buzz lately, but with this hype comes a lot of misconceptions and confusion on how it can help marketers. With customer expectations rising and personalization now an expectation, marketers can use generative AI to help maintain customer loyalty and gain insights in a post-cookie world.
These capabilities allow marketers to focus on higher-level strategy and creative work, making the most of both human and AI strengths. They range from improved efficiency and cost savings to increased personalization and scalability. As generative AI continues to evolve, its potential in marketing holds immense promise of innovation in the dynamic marketing landscape.
Letting you focus on the customer
For example, tools like SecondNature, Rehearsal VRP, Quantified, Mindtickle, etc., are some of the generative AI tools for sales training and onboarding. In 2023, most marketers are using some form of generative AI — defined as artificial intelligence capable of generating text, images or other media. A study of US marketers by Statista showed that 73% of respondents reported using generative AI tools, such as chatbots, as a part of their company’s work. This model is focused on creating artificially generated images based on a user-provided prompt.
Among these, healthcare segment is held a significant market share in 2022. Government agencies in several countries, such as U.S., Germany, and China, are investing more in Yakov Livshits the healthcare sector. Generative AI is already embedded in diagnostic algorithms for the early detection of diseases such as cancer, cardiovascular disease, and diabetes.
Ultimately, AI won’t replace humans — but the humans who know how to properly leverage AI will replace the humans who don’t. Check out HubSpot’s Free Chatbot Builder, which enables you to create chatbot sequences without any coding and personalize chat replies with contact data pulled from HubSpot’s CRM. It’s equally helpful to check out how other businesses are leveraging AI, and use them as inspiration. As a blogger, one of the primary use cases for AI that I’ve heard about has been blog creation. However, it’s not the only use case — or even necessarily the most effective one.
Top 3 Benefits of Generative AI in Marketing
Founder of the DevEducation project
A prolific businessman and investor, and the founder of several large companies in Israel, the USA and the UAE, Yakov’s corporation comprises over 2,000 employees all over the world. He graduated from the University of Oxford in the UK and Technion in Israel, before moving on to study complex systems science at NECSI in the USA. Yakov has a Masters in Software Development.
For B2B marketers, this is a huge opportunity to leverage one of the latest tools available to level up your strategies. For instance, Bankrate has been publishing hundreds of AI-generated articles on their blog in an effort to bolster search rankings – and so far it’s working. Any AI engine is trained on data, and the better the data, the better the output. For AI to generate good results, humans need to be involved in the data gathering process.
With RefineAI, businesses can identify the most engaging parts of their videos and optimize them for increased engagement and conversions. Phrasee is a cutting-edge generative AI tool that specializes in creating compelling and effective marketing language. In marketing, predictive analytics powered by generative AI assist in forecasting customer behavior, demand patterns, and campaign performance. This knowledge enables data-driven decision-making, effective marketing strategies, and a competitive edge in the market.
One significant real-world application of generative AI in digital marketing is the partnership between Google and Wendy’s to use Bard, Google’s AI chat, to improve drive-thru operations. This system has been trained on thousands of hours of data, including order history and customer interactions, to generate responses that are both accurate and personable. With the ability to analyze vast amounts of data, generative AI can tailor content to individual users based on their behaviors, preferences, and previous interactions. This personalized approach enhances user engagement and can lead to improved conversion rates.
The model is flexible and can be tailored to meet the specific needs of clients across various industries. The company’s focus should be on delivering value to its customers and building strong Yakov Livshits relationships with them to ensure long-term success. Speaking of human touch, AI might be good at analyzing data, but it fails to understand your customers as well as your marketing team does.
- The world’s biggest brands now stand at a critical juncture to decide how they will use this technology.
- Sprout Social’s AI capabilities make it one of the most intuitive marketing tools on the market.
- He currently works as a Customer Success Manager at Google and teaches Digital Marketing at Sheridan College in Ontario, Canada.
- To deploy Generative AI ethically, understanding its limitations, preventing criminal exploitation, and addressing biases in training data are crucial.
Generative AI offers exciting opportunities to create interactive and immersive experiences that captivate audiences. For example, chatbots powered by generative AI can simulate human-like conversations, providing instant customer support and personalized recommendations. Virtual reality (VR) and augmented reality (AR) experiences powered by generative AI can transport customers into virtual worlds where they can engage with products and services on a whole new level. These interactive experiences leave a lasting impression and drive customer engagement and brand advocacy. The tool uses advanced natural language processing (NLP) algorithms to analyze customer data and create personalized content that resonates with them. It can also optimize ad campaigns, improve SEO, and provide valuable market insights.
Train and Refine AI Models
Some companies are exploring the idea of LLM-based knowledge management in conjunction with the leading providers of commercial LLMs. It seems likely that users of such systems will need training or assistance in creating effective prompts, and that the knowledge outputs of the LLMs might still need editing or review before being applied. Assuming that such issues are addressed, however, LLMs could rekindle the field of knowledge management and allow it to scale much more effectively. One emerging application of LLMs is to employ them as a means of managing text-based (or potentially image or video-based) knowledge within an organization. The labor intensiveness involved in creating structured knowledge bases has made large-scale knowledge management difficult for many large companies. However, some research has suggested that LLMs can be effective at managing an organization’s knowledge when model training is fine-tuned on a specific body of text-based knowledge within the organization.
This AI has been specified to thrive better in its niche, which happens to be a chatbot. This equates to 1 million feet of bookshelf space, a quarter of the content in the Library of Congress, and this training cost OpenAI around $12 million dollars. Even more exciting is the much-anticipated ChatGPT-4, which is expected to have been trained on even more data and has better-refined responses.
It can also create visual content, such as banner ads, social media graphics, and even website layouts, thereby speeding up the design process and enabling more extensive A/B testing. Strike a balance between automated generative AI and creative human thought. Use AI-generated content as a starting point and add your knowledge to it to ensure it adheres to your brand’s core principles and appeals to your target market.