What are the major use cases for AI in marketing

5 Productive AI Use Cases for Marketing

Generative AI has a variety of use cases across a variety of industries, especially marketing, accelerating brands in delivering personalised marketing content while adhering to the brand’s writing style and tone.


1. Create text or content


Text generation AI uses natural language processing algorithms and large-scale language models to automate content creation. These models use large datasets of existing content examples to analyse patterns and styles of engaging content. In addition to generating unique ideas, AI-generated text can be used for a variety of content creation purposes.


• Create content for marketing in the form of emails, social media, or blog posts.

• Script writing and storytelling for videos and commercials.

• Compose product descriptions that are entertaining, succinct, and clear.


2. Create images and videos


Generative AI can automate image creation through deep learning algorithms and generative adversarial networks (GANs). Image creation through these tools is implemented in marketing in a variety of ways, including:


• Create highly realistic product images for use in your online store, social media channels, and other artificial intelligence marketing solutions.

• Creating visual branding for products like logos.

• Design your ad to stand out and be visually appealing.


Generative AI video tools also help you create high-quality marketing videos and product demo videos that help increase brand awareness and drive conversions.


3. Search engine optimization (SEO) and marketing automation


By analysing large amounts of data and identifying user behaviour patterns, Generative AI can help businesses identify SEO-friendly, relevant, and high-performing keywords and phrases for their digital marketing campaigns. To help create SEO content, marketers can use generative AI tools to:


• Find content topic ideas.

• Conduct keyword research.

• Find related content titles.

• Group search intent.

• Create content structure.


4. Customer service


You can automate your customer service models with artificial intelligence, as conversational AI models have proven to quickly understand customer queries and respond faster than humans. Generative AI is currently automating customer service tasks by:


• Chatbots and messaging apps that can provide a 24/7 customer service channel.

• Email automation to provide quick responses to common customer questions and requests.

• Self-service portal incorporating generative AI capabilities that provide personalised recommendations and solutions based on customers’ queries and history.

• Serve a wider segment of the community through multilingual support and localization.


5. Realising a cookie-free future


With platforms like Google Chrome, Safari, Firefox, and even Apple phasing out third-party cookies, cookieless marketing is the future. Marketing professionals may believe that these new restrictions will reduce the performance of targeted advertising. But generative AI can certainly help with this use case as well.


Generative AI helps generate code based on natural language input. The benefit is that it frees programmers and software developers from tedious tasks such as code optimization, bug detection, and code completion, allowing them to focus on tasks that require human intervention.


What are the benefits of AI in marketing?


By using AI in marketing, companies may gather information about their target audience from a variety of sources and derive useful insights.Here are some specific ways AI can help your marketing team:


  • Increased capacity


Automated processes allow marketers to spend more time creating content, reinforcing brand messages, and developing campaigns. This means your team will be more efficient overall, with less administrative and manual tasks taking up valuable time.


  • Reduce errors


With integrated AI technology, your team has less room for error. For example, AI can feed customer data into your CRM, eliminating the need for manual data entry and no more keystroke errors (or email addresses or misspelt names). AI also has built-in security features to prevent data disruption.


  • More personalization


We've mentioned Netflix's recommendation engine before. Think about whether Netflix would still exist today if its recommendation engine didn't work properly. This usually requires personalization in marketing. Only AI can quickly collect and analyse detailed data to create personalised recommendations and content for users on your website or app.


  • Better decisions


AI tools continuously collect data, so marketing teams don’t have to wait until the end of a campaign to make decisions. You can act on real-time data on the fly and then continuously analyse it to measure the effectiveness of your campaigns. decision.


  • Increased campaign ROI


AI marketing allows teams to see greater ROI for each customer interaction. Because AI helps marketers create personalised content, optimise message timing, and measure the effectiveness of interactions.


Read Also : AI in marketing and sales use cases

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