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10 Fascinating Use Cases and Examples of AI in Digital Marketing Marketing

AI For Marketers: 10 Examples

Then you can continue leaning on AI to craft an outline or help you work on the first draft. “One thing I found really helpful with getting my team to adopt the technology was, whenever we would be talking about projects, I would immediately ask, ‘How are you going to use our AI tools for this? Cellebrite is a mission-driven organization whose technology is used to save and protect lives, so they wanted to mobilize a movement. When Cole was brainstorming for a new publishing commitment campaign, she looked to ChatGPT to help pressure test and anchor for the campaign. She says this critical brainstorming happened on a rainy Saturday afternoon at home.

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The News Movement is a media platform that aims to expand its audience base alongside ensuring improved engagement. Artificial intelligence helped the platform in diving deeper into data about its audience. The Sprinklers Unified-CXM, used by The News Movement, leverages AI for extracting customer data throughout different platforms. The popularity of artificial intelligence tools like ChatGPT has become one of the prominent reasons for using AI in marketing.

Customer Behavior Prediction

Automated content generation through generative AI could eliminate the necessity of manual work, thereby saving the budget and time for marketers. Lead scoring is the process of assigning a score to leads based on various criteria, such as behavior and demographics. AI can help marketers automate this process, which can help them prioritize leads and focus their efforts on those that are most likely to convert. Marketo is one company that is using AI to score leads and identify opportunities for growth. Learn the latest and most relevant digital marketing skills with DMI’s Professional Diploma in Digital Marketing.

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AI marketing tools monitor market conditions, customer behavior, and competitor prices in real-time. This enables businesses to identify opportunities for price adjustments and stay competitive. By accurately forecasting demand patterns using historical data and external factors, AI tools empower businesses to dynamically adjust prices for optimal revenue during peak or low-demand periods.

Increased Efficiency and Productivity

Whether you’re a startup, small local business, or global enterprise, you’ll find AI marketing solutions that cater to your needs. AI can not only be used to generate content but also to optimize it according to SEO best practices. Even tools like ChatGPT can be prompted to apply specific SEO-oriented techniques to their content to make it more relevant to search engines. This information can be used to identify what works and what doesn’t to make future campaigns more effective. Below, we’ll cover some of the general use cases for AI in marketing.

AI For Marketers: 10 Examples

With AI tools like these, you can make data-driven decisions, automate time-consuming tasks, and achieve better results with less effort. As your campaign progresses, Digital First AI will track the performance of each tactic and provide real-time analytics that show which strategies are driving the most engagement and revenue. For instance, AI can segment customers based on demographics, location, and interests to create targeted campaigns. But what we do have is artificial intelligence (AI) taking over the digital marketing world with some fascinating use cases and examples.

Plus, there is also room for specialized AI-powered chatbots, sentiment analysis, content optimization, influencer identification, and ad targeting for social platforms. Other capabilities include improved and fine-grained market segmentation to carry out more effective email marketing campaigns, as well as A/B testing to assess the success of and optimize future campaigns. Through large-scale data analysis, AI is able to analyze relationships and generate high-quality connections with potential affiliates. Usually, this would require a tremendous amount of time and resource-intensive research. Google’s stance on AI-generated content is that it’s not against its guidelines. However, the search engine is always looking for ways to improve its ability to identify high-quality, engaging content.

  • First, the platform will analyze your business’s data and identify your target audience.
  • The tool made real-time PPC campaign improvements to demographic targeting, keywords, ad copy, and campaign timing.
  • So, the sooner you sign up, the sooner you can meet your new (potentially long-term) AI-powered social media planning partner.
  • With over 40 translation options available, you can reach a global audience by creating your presentation in the language of your choice.
  • “Anyone who has blown in a Nintendo cartridge to fix it, grew up having to tinker with technology to get it to work.

As AI expands and improves, automated email marketing software becomes even more important to include in your marketing stack. Suggest the [number] best hashtags for a social media campaign on [social media platform] to reach [target audience]. In this article, we’ll share AI prompts marketers can use to optimize their generated results and better meet their marketing needs. With the use of artificial intelligence, customer data is analyzed more deeply to produce more detailed, targeted segments while automating the process of personalization for each segment. Businesses across industries have been creating and analyzing target market segments to provide customers with highly personalized offers for years. To better results, RedBalloon started to use AI-powered software that analyzes data across ad accounts and customer databases, then target, run and optimize ad campaigns.

You’ll also find some inspiration in the form of real-life AI marketing examples with a list of tools to consider. In this article, we’ll provide you with a complete introduction and overview of AI-driven marketing. We’ll look not only at the trends driving AI adoption but also at the benefits, challenges, and impact of making AI part of your marketing strategy. Even if you believe in the power of marketing artificial intelligence, it can be intimidating to get started.

AI For Examples

For example, when Cellebrite had to rename one of its products, a cross-functional team began brainstorming and thinking through how to defend their options. Once the team was aligned on the best name, but before going into legal vetting, the group asked ChatGPT why the frontrunner was better than the others. Cole reminisces on how excited the team was to get a creative break and feel confident about the decision because they could articulate why the name was the right choice.

User Evaluation

Many machine learning processes have been designed to automatically learn patterns in the numerous data inputs and help marketers to predict the future of anything they want to. One of the most useful examples of AI in marketing is data analysis. These days you don’t have to guess what will work for what audience. There are thousands of data points attached to the target audience that can be accurately analysed by bots to understand which message is going to appeal to whom.

AI For Marketers: 10 Examples

The 10Web AI Website Builder can design and build an entire website based on just a short questionnaire about your business and website needs. It even generates marketing collateral, like page copy and images that would usually need to be sourced manually. Pages are responsive out-of-the-box so that you can easily tap into mobile markets. As already mentioned, AI is a powerful tool for predictive lead scoring. If you believe in the 80/20 principle, then it will allow you to focus and prioritize the majority of your efforts on your most high-value, high-potential leads. It also allows businesses to personalize their messaging to individual referrers or referrals to boost participation and conversion rates.

This is an opportunity to elevate everyone to an even playing field. But it’s also another place where we need to make sure people aren’t slipping through the cracks,” she says. Cole’s advice for overcoming the challenges of incorporating AI across various teams and generations? Practice what you preach and show others the best way to tackle the technology.

AI For Marketers: 10 Examples

Based on the target audience, marketers can also customize the speech with a range of professional AI voices—from young adults to middle-aged, from conversational to professional, and more. Marketers can modify the speed, pitch, and volume, emphasize specific words, and add pauses where needed. Humans are naturally prone to making mistakes, but artificial intelligence marketing tools can help minimize human errors in marketing. For instance, while manually creating voiceovers for marketing ads, several takes may be required due to errors in speech. Voiceover generation tools can easily address this issue by automating the text to speech process with minimal or no errors.

AI For Marketers: 10 Examples

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July 2024