How to Use Generative AI in Marketing

And right now, people understand other people and have a sense of nuance, tone, and context in a way that AI has yet to catch up to. Today’s customers value a personalized approach and human touch, which is – by definition – not possible using AI (at least, not yet). If customers Yakov Livshits were to discover a brand was using AI tools to generate their marketing messages or social media content, that brand could quickly lose customer trust and ultimately risk a PR scandal. And there are already tools that can detect if ChatGPT was used to write a text.

This course will equip you with the knowledge and skills to understand the power of Generative AI and stay ahead of the curve in an ever-evolving industry. Imagine a world in which smart assistants are the common front end of digital interactions, transforming the experience of engaging with a brand’s app or website. Picture a corresponding disruption in the creative landscape as new sources of imagination and flair emerge and old ones lose their historic edge. Or one in which influencers become even more critical, with access to simplified or targeted versions of powerful digital tools that used to be out of their reach. Generative AI is poised to take this to the next level with its ability to generate text, audio, video, images, code, simulations, and more content. This system was popularized recently by Open AI’s ChatGPT, which is based on GPT 3 and 4 large language models.

By Industry vs Application Analysis

This report seeks to equip executives with insights into how Generative AI models are presently exerting their influence in real-world applications and the potential implications that may arise. Please connect with me on LinkedIn if you’re able to share your experiences with using these AI marketing tools and then I can share with other marketers reading this post. If you have developed a tool for creating content and have examples or case studies of its effectiveness I’d be interested to share these too. With generative artificial intelligence, you can create realistic sales scenarios for training new employees, helping them practice and improve their sales techniques. It provides real-time feedback on sales pitches, suggesting improvements or highlighting strengths.

However, this rapid growth has also raised concerns about job security in the marketing sector. As generative AI automates more tasks, there is a fear that it could render some marketing jobs obsolete. Our sister community, Reworked gathers the world’s leading employee experience and digital workplace professionals. Stay updated with the latest news, expert advice and in-depth analysis on customer-first marketing, commerce and digital experience design. Made by Open AI, the creators of ChatGPT, this automated tool allows you to create realistic images and art from the descriptions you provide. In this review, we’ll closely examine some of the most popular generative AI tools, evaluating their features and capabilities, to help you add the right platforms to your marketing AI tool kit.

Top Generative AI Marketing Findings for 2023 [New Data]

It can be used to create engaging email subject lines, social media posts, and ad copy. Its real-time image and video processing capabilities can help businesses create visually stunning content that resonates with their target audience. With RunwayML, marketers can leverage the power of AI to stay ahead of the curve and deliver personalized, engaging content to their customers. For many CMOs, however, the buzz and expectation created by generative AI’s marketing potential come with new risks. Marketers are well placed to understand the many ways a company’s brand could suffer if the new technology’s debut is mishandled. That’s not just because the technology can reuse existing material in a way that breaches the intellectual property rights of human creators.

An unintentional benefit of this is the high likelihood that new roles will be created due to AI implementation. Some models, like NovaCloud’s AI, Nova, are less focused on being recreationally successful, and better accommodating commercial interest. Nova excels in being a brand marketing AI that allows businesses to personalize their marketing and generate new marketing mediums. Using ChatGPT as an example, existing content is shown to ChatGPT, and the model attempts to learn from it and synthesize new content based on it. ChatGPT’s third generation has analyzed 45 terabytes of data to enable its multifaceted capabilities. Generative AI models rely on large datasets for training, and it is essential to ensure your agency can access quality data relevant to your B2B niche.

Yakov Livshits
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.

With its unparalleled capacity to analyze vast amounts of data, craft engaging content, offer personalized user experiences, and streamline repetitive tasks, AI’s potential for scale and efficiency is undeniable. While generative AI provides a multitude of benefits, it’s important to remember that it is not a silver bullet. AI may generate content, but humans are needed to guide its direction, Yakov Livshits provide creative insight, and ensure the final output resonates with the target audience. After all, human emotions, creativity, and intuition cannot be entirely replicated by AI. Additionally, generative AI can create text that is intentionally designed to convey a specific sentiment, such as positive or negative social media posts that could shape public opinion for marketing campaigns.

Start by building a cross functional team to spot areas where generative AI can be used, like content creation or data analysis. Mainly focus on repetitive and time consuming tasks that can be automated. It is also hard for customers to distinguish between human-made and AI generated marketing content. And buyers expect authenticity and transparency from the brands they follow. As we look to the future, the challenge for digital marketers will be not just to use AI as a tool, but to foster a symbiotic relationship where AI and human expertise complement each other.

For example, a marketer for a sustainability reporting software company may prompt the tool to list topics related to sustainability in business. The prompt then offers a high-level overview of what a blog post might cover, including key topics, like circular economy and sustainable supply chains. The integration of AI has been a transformative force in the dynamic realm of digital marketing. However, despite the impressive potential of AI, human intuition, creativity, and empathy remain essential in marketing.

It’s fundamental to many of the products we’ve built over the last decade, driving growth for businesses of all sizes, from features like Smart Bidding to fully AI-powered products like Performance Max. These models have largely been confined to major tech companies because training them requires massive amounts of data and computing power. GPT-3, for example, was initially trained on 45 terabytes of data and employs 175 billion parameters or coefficients to make its predictions; a single training run for GPT-3 cost $12 million. Most companies don’t have the data center capabilities or cloud computing budgets to train their own models of this type from scratch.

Continue reading to learn more about generative AI models and how advanced tools can revolutionize your business. ATOMM’s outputs originate from original, high-quality source material and are reviewed by human editors. For this reason, our AI-generated content retains the originality, depth, and accuracy required to meet competitive brand and customer standards. Brands get all the benefits of AI scalability without the reputational risk. Imagine taking a webinar, for example, and extracting and repurposing the key ideas and information to create multiple standalone assets such as a checklist, short video snippets for social, and a blog post. That’s why we’ve introduced ATOMM™—Atomization for Targeted, Original, Multi-channel Marketing.