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This resource provides a list of 56 ways to use AI in advertising, covering everything from initial strategy to campaign management and analytics. It helps you discover how to make smarter, data-driven decisions, generate high-performing creatives at scale, and maximize your return on ad spend.
56 Ways to Use AI in Advertising
This list of AI applications in advertising is a practical resource that demonstrates how artificial intelligence can enhance every stage of your advertising workflow. Its main purpose is to provide a wide range of applications so you can identify the best ways to integrate AI to build more effective and efficient campaigns.
Strategy, research, and creative development
In the planning phase, AI can analyze market trends to identify new advertising opportunities or track and analyze competitors’ ad strategies. It can also create detailed profiles of your ideal customer segments and suggest the optimal budget split across different platforms like Google and Meta. For creative development, AI can write multiple variations of ad copy and headlines for A/B testing, create unique royalty-free images for display ads from text prompts, and generate short video ads from a product description.
Campaign setup and optimization
When building campaigns, AI can suggest new and high-performing lookalike audiences to target and recommend the optimal campaign structure within platforms like Google Ads or Meta Ads. It can also automatically create a list of negative keywords to prevent wasted ad spend and recommend the best days and times to run ads based on audience activity. To optimize live campaigns, AI can automatically adjust ad bids 24/7, identify when an ad creative is starting to lose its effectiveness, and pause underperforming ads while reallocating budget to winning ones.
Analytics and advanced applications
For reporting, AI can generate daily, weekly, or monthly performance reports with key insights written in plain language. It allows you to ask questions about your data in plain English and get an instant answer. Advanced applications of AI in advertising include fully autonomous campaign management with minimal human input, creating ads that users can talk to, and generating a unique ad creative for every single user based on their individual data profile.
How this list helps you apply the information
This resource, provided as an editable Google Doc, serves as an idea bank to help you strategically leverage AI in your advertising efforts. By reviewing the detailed list of applications, you can identify which tools can help you make smarter decisions, automate routine tasks, and achieve a higher return on ad spend.
Who is this list perfect for?
This list is perfect for advertisers, marketing managers, and business owners who want to use AI to improve the performance of their ad campaigns. It offers valuable ideas for every aspect of the advertising lifecycle, from initial research to advanced optimization.
Concluding thought
By implementing the use cases in this list, you can move beyond traditional advertising methods and harness the power of AI to create more precise, efficient, and impactful campaigns.
How to Use This
- Make Your Own Editable Copy:
- Open the link provided to access the master Google Doc.
- Once the Google Doc is open, navigate to the menu: File > Make a copy.
- A dialog box will appear. You can rename your copy if you wish and choose where to save it in your personal Google Drive.
- Click “Make a copy.” This action saves an editable version of the document to your Google Drive.
- Using Your Use Case List::
- Review the different categories (e.g., Strategy & Research, Creative Development, Optimization & Management) to identify areas of your advertising process you want to improve.
- Choose a specific use case from the list that aligns with your current goals or biggest challenges.
- Use the selected idea as a starting point to research specific AI advertising tools and integrate them into your workflow.
Frequently Asked Questions
How can AI help with my advertising strategy?
AI can analyze market trends, track competitors’ ad strategies, create detailed audience personas, and suggest the optimal budget split across different platforms.
What are some ways AI can help me create ads?
AI can write multiple variations of ad copy and headlines, generate unique images and short video ads from text prompts, and automatically resize a single ad creative to fit all required dimensions for different platforms.
How can AI optimize my live ad campaigns?
AI can manage campaigns by automatically adjusting ad bids in real-time, identifying ad fatigue, pausing underperforming ads, and reallocating budget to winning ads based on rules you set.
Can AI help me understand my campaign’s performance?
Yes, AI can generate automated performance reports with summaries written in plain language, create visual maps of the customer journey, and combine performance data from multiple ad platforms into a single dashboard.
What is Dynamic Creative Optimization (DCO)?
DCO is a process where AI automatically combines your creative components (images, headlines, CTAs) to build the best ad for each individual user in real-time.
How can AI help with targeting?
AI can suggest new and high-performing lookalike audience segments to target, identify high-performing websites or apps for ad placements, and find physical areas with high concentrations of your target customers.
What are some future or advanced uses of AI in advertising?
Advanced applications include fully autonomous campaign management, creating interactive ads that users can talk to, placing ads in virtual and augmented reality environments, and using AI to audit campaigns for potential biases.