AI has proven to be a handy tool for crafting ad creatives. To captivate their target audience in a more impactful manner, more companies are turning to AI-generated ad creatives as an effective solution. In this blog post, we’ll delve into the ways in which you can leverage AI-generated ad creatives to enhance your advertising efforts.
Table of Contents
What is an AI-Generated Ad Creative?
It’s crucial to grasp the fundamentals of how AI-generated ad creatives function before getting into the nitty-gritty.
Ai-generated ad creatives are advertising assets that are produced with the help of Artificial Intelligence (AI). AI-generated ad creatives are created using machine learning algorithms that are trained on a massive dataset of existing ad creatives. This dataset includes information such as the ad’s text, images, videos, and performance metrics. The AI algorithms analyze this data to identify patterns and relationships between the different elements of an ad and its performance.
Once the AI algorithms have been trained, they can be used to generate new ad creatives. To do this, the AI algorithms will take into account the specific product or service being advertised, the target audience, and the desired ad format. They will then use this information to generate ad copy, select images or videos, and even create videos.
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Benefits of AI-Generated Ad Creatives
There are several benefits to using AI for ad creatives.
First, AI can generate ad creatives much faster than humans can. This is because AI can analyze large amounts of data very quickly and identify patterns that would be difficult for humans to see.
Second, AI can generate ad creatives that are more personalized to the target audience. This is because AI can take into account individual user data to create ad creatives that are more likely to resonate with that user.
Third, AI can generate ad creatives that are more likely to convert. This is because AI can identify the elements of ad creatives that are most likely to lead to a desired action, such as a click or a purchase.
Here are some specific examples of how AI is being used to generate ad creatives:
- Copywriting: AI can be used to generate ad copy that is more likely to grab attention and persuade users to take action. For example, AI can be used to generate ad copy that is more specific to the target audience, that uses more emotional language, and that is more likely to be shared on social media.
- Image selection: AI can be used to select images for ads that are more likely to be relevant to the target audience and that are more likely to be visually appealing. For example, AI can be used to select images that are more likely to feature the product or service being advertised, that are more likely to be in line with the brand’s identity, and that are more likely to be of high quality.
- Video production: AI can be used to create video ads that are more likely to be engaging and that are more likely to be watched to completion. For example, AI can be used to create video ads that are more personalized to the viewer, that are more likely to feature the product or service being advertised, and that are more likely to use emotional storytelling.
AI is a powerful tool that can be used to generate ad creatives that are more effective and more efficient. As AI technology continues to develop, we can expect to see even more innovative and creative ways to use AI to generate ad creatives.
Are AI-Generated Ad Creatives Legit?
AI-generated ad creatives are definitely a legit and super trendy tool in the marketing world. AI is becoming the go-to solution when it comes to making awesome ad content. But, it’s important to think about the pros and cons of using AI-generated ad creatives.
In general, AI-generated ad creatives can be a valuable asset for businesses, but it’s crucial to exercise caution when using them. Before making a decision, you should carefully weigh all the aspects of utilizing AI for ad creatives.
Why Use AI-Generated Ad Creatives
- AI-generated ad creatives are a legitimate and popular tool in marketing.
- AI offers efficiency and speed in generating ad creatives, especially for time-sensitive campaigns.
- AI enables personalized content creation at scale by analyzing user data.
- AI provides data-driven insights for optimizing ad creatives.
- Automating certain aspects of ad creative production can lead to cost savings.
- AI ensures consistency in branding by following predefined guidelines and rules.
What to Consider When Using AI-Generated Ad Creatives
- Adhering to legal and regulatory standards is crucial. Ensure that AI-generated content complies with advertising regulations and does not inadvertently violate laws or ethical guidelines.
- Implement rigorous quality control measures to avoid issues with inaccuracies or inappropriate content.
- AI in ad creatives brings up ethical concerns, like the need for transparency regarding AI’s role and possible biases in the data it’s trained on. Prioritize transparency and ethics when utilizing AI.
Also, here are a few pointers for effectively utilizing AI for ad creatives:
- Choose the right AI tool for your needs: The market is flooded with AI tools designed to assist with ad creative generation. To make the most of this technology, it’s crucial to choose the right tool for your specific needs. Consider factors such as the platform’s capabilities, user interface, and integration options with your existing marketing tools. Popular AI tools for ad creative generation include OpenAI’s GPT-3, Google’s AutoML, Google’s Bard, BrightBid, creatopy, IBM Watson, etc.
- Treat AI as a tool, not a substitute for human creativity: AI can be an excellent resource for generating ideas and refining concepts, but it should never replace human creativity. Businesses should still rely on their own judgment to ensure that the ads align with their brand and messaging.
- Begin with a clear brief (promt): The more specific your brief is, the better the AI will be at generating relevant and impactful ad creatives. At the same time, do not overwhelm the AI with excessive information and details.
- Utilize AI for various ad formats: AI can be employed to generate ad creatives for a wide range of formats, such as social media ads, display ads, and video ads.
- Monitor and evaluate results: It’s crucial to track the performance of your AI-generated ad creatives to see how they are performing. This will enable you to make any necessary adjustments as needed.
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Examples of Using AI-Powered Ad Creative
Google Performance Max
Google has recently introduced new AI-powered features to Performance Max. These features aim to help you generate and enhance your creative assets. Users will be able to create
- headlines
- descriptions
- and images to bring their creative vision to life.
With this update, users get the ability to
- create and scale new assets in just a few clicks
- enhance both generated and existing assets with AI-powered image-editing capabilities directly in Google Ads
- generate assets, including those generated with text prompts
- get suggestions based on the performance data suggesting or generating assets to ensure optimal ad performance.
This looks like a great set of features, and we are eager to see how those will be implemented by advertisers.
Microsoft Advertising
Microsoft is also rapidly developing its advertising platform. Here’s the list of their latest updates, with an emphasis on generative AI technology:
- Bing has created more engaging ad experiences, including Compare & Decide Ads. These ads provide users with a succinct table comparing different options based on their criteria, such as when buying a new car. Compare & Decide Ads will be available in closed beta in early 2024.
- Microsoft has introduced generative AI into its responsive search ads (RSA) feature, allowing advertisers to receive AI-generated headlines and descriptions based on their final URL. This update provides categorized and diverse recommendations in 35 different languages, giving you the option to select multiple suggestions with just one click. Additionally, you can choose to opt-in to the auto-generation of assets, which creates assets dynamically when serving ads.
- Microsoft is democratizing AI by providing an Ads for Chat API, allowing publishers and online services to customize their own chat experiences with ads. Snapchat and Axel Springer are the first partners to utilize this API, embedding ads into their chat platforms.
- Microsoft is also introducing Copilot in the Microsoft Advertising Platform, an intelligent assistant designed for advertisers and agencies. Copilot can recommend images, headlines, and descriptions for ad campaigns, simplifying the creation process. In the future, Microsoft plans to introduce more functionality for Copilot, new Conversational Ad formats, and continue to democratize generative AI in the advertising industry.
BrightBid
BrightBid is an AI-driven tool for advertising and PPC optimization, with a focus on Paid Search, Google Shopping ads, and direct advertising of Amazon shops on Google Shopping.
We use in-house AI technology to optimize ads and automate bidding, taking into account the nuances of Google’s and Microsoft’s AI tech.
Our generative AI translates paid search ads into multiple languages, selects keywords based on local demand, and handles local PPC and Shopping ads for multi-market advertisers. And all that is done with automation.
For example, Amity, a global technology company, partnered with BrightBid to expand its reach to 69 markets through paid search. We successfully lowered Amity’s cost per lead by 47% and increased the number of sales accepted leads by 39%. They also achieved a 34% decrease in CPC (Cost Per Click).
Amity operates in a niche B2B technology market and faced a challenge when their broad keywords, which included the term «chat,» caused confusion due to the launch of ChatGPT. This resulted in irrelevant clicks and the need for a rapid overhaul of their paid search campaigns.
BrightBid’s AI engine was able to
- exclude search keywords,
- paused high-performing search terms
- prioritized potential high-performing keywords
- create relevant ad copy
- refine audience targeting.
BrightBid initially focused on managing Amity’s toughest markets, including the UK, France, Germany, Netherlands, and Canada, and successfully lowered the cost per sales accepted lead by 20%.
Since expanding to all 69 markets in November 2022, Amity has gained its biggest single customer through paid search.
12 Tips for Producing Ad Creatives With AI
1. Use Clear and Specific Prompts for Creating Your Ad Assets
Provide clear and specific prompts when using AI for ad creative generation. Clearly articulate your goals, target audience, and the message you want to convey.
The clarity of your instructions directly influences the relevance, coherence, and effectiveness of the AI-generated content. Remember to do the following.
- Clearly state your marketing goals when crafting AI-generated ad creatives. Whether you want to boost sales, increase brand awareness, or highlight a specific product feature, it’s important to articulate your goal with precision. This helps the AI model understand the purpose of the ad and create content that aligns with it.
- Be specific when identifying your target audience. Provide detailed information about their demographics, interests, behaviors, and any other relevant data. The more specific you are, the better the AI can tailor the ad creatives to resonate with and capture the attention of your intended viewers.
- Develop a comprehensive message framework that outlines the key points and themes you want to convey in your ad creatives but do not go into too much detail. Clearly communicate your unique selling propositions, brand values, and any specific calls to action you want to include. Use simple and concise language, don’t use questions, be direct about what you want to get from AI. This framework will guide the AI model in generating content that aligns with your brand narrative.
- Start with a focused prompt: Provide a specific and clear prompt for the AI. A well-defined prompt enhances the AI’s ability to generate relevant and impactful creatives. Strike a balance by offering enough information without overwhelming the AI with excessive details.
- Communicate the desired style and tone for your ad creatives. Whether you prefer a humorous, formal, informative, or inspirational tone, providing this information ensures that the AI-generated content matches your brand voice. Consistency in style and tone is essential for building a recognizable and trustworthy brand identity.
- Incorporate relevant keywords and themes related to your industry, product, or campaign. These keywords will guide the AI model in understanding the contextual elements you want to emphasize. This is particularly important for generating ad copy and selecting images that align with the core themes of your campaign.
- Take an iterative approach to refining your prompts. Review the initial outputs and adjust your prompts based on the insights gained. This will help you continuously improve the AI-generated content and better align it with your marketing goals.
By clearly stating your objectives, target audience, message, style, and other important factors, you give the AI model the power to create content that perfectly matches your brand and marketing goals. Continuously fine-tuning and adjusting prompts using performance data will lead to constant enhancements in the effectiveness of your AI-generated ad creatives.
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2. Experiment with Different Inputs
Test variations of inputs to see how they influence the output. For ad copy, try different tones, styles, or lengths. For images, experiment with diverse keywords and concepts to generate a range of visuals. Here’s a more in-depth exploration of this approach:
Ad Copy
- Tones: Test different tones to understand how they resonate with your target audience. For example, try a friendly, conversational tone versus a more formal or persuasive one. If your TOV voice allows humor, empathy, or urgency, experiment to gauge emotional responses and identify which tone aligns best with your brand or campaign goals.
- Styles: Vary the writing style to see what captures attention. Consider testing a narrative approach, a listicle format, or a straightforward and direct style. Explore different headline structures, such as questions, statements, or command verbs, to discover which format drives better engagement.
- Lengths: Test short, punchy copy against longer, more detailed versions to determine the optimal length for your audience. Consider the platform where the ad will be displayed; different platforms may have different ideal lengths for ad copy.
For more, see our blog post for tips on AI-generated ad copy best practices.
Image Generation
- Keywords: Experiment with diverse keywords to see how they influence the generated images. For instance, using words associated with different emotions, colors, or concepts. Test the impact of specific keywords on the style and composition of the generated images. Certain keywords may result in more abstract or literal interpretations.
- Concepts: Explore a variety of concepts related to your product or message. For example, if advertising a fitness product, test images with concepts like motivation, achievement, or community. Try juxtaposing contrasting concepts to create unique and attention-grabbing visuals.
- Color Schemes: Test different color schemes to see how they affect the overall mood and perception of the image. Colors can evoke specific emotions and influence user engagement. Consider the cultural associations of colors and how they might vary across different target audiences.
Multivariate Testing
- Combine variations of tones, styles, lengths, keywords, and concepts to perform multivariate testing. This allows you to understand how different elements interact with each other and which combinations yield the most effective results.
- Use data analytics tools to measure the performance of each variation, such as click-through rates, conversion rates, or engagement metrics.
Iterative Process
- Treat experimentation as an ongoing, iterative process. Regularly review and analyze the performance data, and use the insights gained to inform future creative iterations.
- Stay attuned to changes in audience preferences, industry trends, and platform algorithms to adapt your creative strategies accordingly.
Through systematic experimentation with different inputs, you will be able to enhance your creative content, maximize its influence, and adjust to the preferences of your audience and market trends. See this blog post for examples of how to manage visual, text, and video ads with generative AI.
3. Utilize Contextual Information
Creating ad creatives that resonate with the audience requires utilizing contextual information. This adds relevance and timeliness to the ads. By staying updated on current trends, seasons, and events, tailor your prompts to align seamlessly with the cultural zeitgeist.
For example, if promoting a fashion brand during the holiday season, a contextual prompt could include keywords like «festive outfits,» «holiday fashion trends,» or «winter style essentials.» This not only takes advantage of seasonal keywords but also taps into the increased consumer interest in holiday-related content during that time.
Incorporating such contextual details not only enhances the ad’s relevance but also demonstrates a brand’s ability to foster a stronger connection with the target audience.
4. Customize for Audience Segmentation
Audience segmentation with AI is an amazing helper for any advertiser. Utilizing the power of AI to personalize ad creatives for different groups of people is a strategic method that recognizes the diverse preferences and behaviors within a larger target audience.
For instance, if promoting a tech product, the creative for a segment interested in cutting-edge features may emphasize technological advancements and specifications, while another segment focused on user-friendly interfaces might be captivated by visuals showcasing intuitive design. AI allows for the identification of subtle preferences, enabling you to create tailored messages that resonate on a more personal level.
Furthermore, customization goes beyond just the product features. It involves adapting the language and offers to align with the unique characteristics of each audience segment.
A younger demographic may respond well to a casual and conversational tone, whereas an older, professional audience might prefer a more formal approach. Similarly, promotional offers can be customized to address the distinct needs and motivations of each segment.
Let’s consider a scenario where a company is promoting a new line of fitness trackers and wants to create customized text ads for two distinct audience segments: fitness enthusiasts interested in advanced features and busy professionals seeking convenience.
Prompt for advanced features segment:
Prompt for busy professionals segment:
In this way, the AI-generated ad copy can be tailored to meet the specific interests and needs of each audience segment, optimizing the effectiveness of the marketing campaign.
You can use detailed prompts, like the two above, as a starting point to create the basis of your ad campaign. To create copy that fits exact ad formats, like text ads, ask the AI tool you are using to repurpose the copy it came up with and create the ad you are interested in. For that, use more precise prompts for text ad creation with AI.
5. Combine AI-Generated Elements
Pairing AI-generated text with AI-generated visuals is like putting together the pieces of a puzzle for a more impactful marketing message. This combo ensures that what you say in words matches what you show in pictures, creating a clear and compelling brand story. For example, if your text talks about a new product’s cool features, AI-generated visuals can illustrate these features in action, making your message more engaging and memorable.
This mix-and-match strategy is not only effective but also versatile. Whether you’re posting on social media, sending emails, or creating ads, having AI-generated text and visuals work together maintains a consistent brand look and feel. This consistency helps people recognize your brand easily and builds a stronger connection between what you say and how you present it. It’s like having a unified brand voice across different places online, making your marketing efforts more trustworthy and relatable.
6. Iterate Based on Performance Data
Keep an eye on how well your AI-generated ads are doing by checking performance data regularly. Look at clicks, conversions, and engagement to see what’s working best. If you notice certain ad words or images are getting more attention, that’s a hint that those things are connecting with your audience. To get even better, try out A/B testing.
This means tweaking some things in your ads, like changing the words or colors, and seeing if it makes a difference. Keep doing this, and you’ll keep making your ads better over time, adapting to what your audience likes and staying on top of the game.
7. Balance Creativity and Data
To make powerful ads, you need to blend creative ideas with data insights. AI is great at analyzing numbers and trends, but it doesn’t understand emotions like humans do. So, use AI to understand what’s working based on data, but don’t forget the human touch in creativity. That is why it is important to set up a data analysis flow, especially with the growing role of first-party data.
Human creativity brings in feelings and cultural vibes that might not show up in the data alone. Creativity tells a story, stirs emotions, and captures what makes a brand special. Instead of replacing creativity, think of AI as a helper that refines and improves creative ideas based on what the data tells us works well. It’s like having the best of both worlds—the smart analysis from AI and the human touch in creative storytelling.
So, find the right mix. Use data to guide your creative choices and understand what your audience likes. Then, let human creativity do its thing to bring those ads to life, making them not just effective, but also something people can connect with on a personal level.
8. Automate Routine Tasks
Automating everyday tasks in creating ads, like lead generation with AI, adjusting image sizes or making different versions for testing, is a smart move. It saves time and lets your team focus on the more important creative stuff. For instance, tools can quickly tweak images to fit different platforms, making everything look polished everywhere. Also, when you need lots of versions for testing, automation can whip them up fast, saving you from doing it all manually. This way, your team can spend more time on cool, high-level creative ideas.
Automation isn’t just about saving time; it’s also about making fewer mistakes. Automated processes follow set rules, so there’s less chance of mix-ups or missing things compared to doing it all by hand. For example, when testing different ad versions, automation ensures consistency and accuracy, so you can trust the results.
Plus, automation is flexible. As things change in the marketing world, like new platforms popping up, automated tools can adapt easily. This means your team can stay on top of trends and keep being creative without getting slowed down by routine tasks.
9. Ensure Brand Consistency
To keep your brand strong and recognizable, give clear rules to the AI for generating content. Tell it about your brand’s personality, values, and looks. For example, if your brand is all about being eco-friendly, let the AI know to use green language and images. These rules act like a guide, making sure every piece of content the AI makes fits your brand and its unique vibe.
It’s not just about words; it’s also about how things look. So, share with the AI what your brand’s tone sounds like – whether it’s friendly or formal. Also, let it know about your brand’s colors, styles, and themes for visuals. This way, not just the words but even the pictures stay true to your brand’s style.
Consistent branding builds trust and helps people remember your brand. When they see content that always follows the rules you set, it makes your brand feel reliable and real in a world filled with information. By telling the AI what makes your brand special, you make sure it helps create content that sticks to the consistent and recognizable image you want to show.
10. Monitor and Adjust Tone
Keep an eye on the vibe and feelings in the AI-generated ad copy. The tone, or emotional style, in your ads can affect how people see and respond to your brand. Check regularly to make sure the AI’s words match your brand’s personality and what you want to achieve with your ads. For example, if you’re aiming for an excited and energetic response, make sure the language in the ad reflects that. If trust-building is the goal, the tone might need to be more reassuring and sincere.
Campaign goals can vary, so adjust the emotional tone of your ad copy to get the response you want. If you’re pushing for quick actions, like purchases, a persuasive and urgent tone might work. On the flip side, if you’re focusing on long-term connections, a more informative and storytelling tone could fit better. The cool thing about AI is that you can tweak the tone in real-time, making sure your ad copy matches what your audience wants and stays in sync with your campaign goals.
Utilizing AI, you can ensure that your advertisements not only capture attention but also establish a genuine connection with your audience, encouraging their engagement and helping you achieve your campaign objectives.
11. Implement Dynamic Creative Optimization (DCO)
Dynamic Creative Optimization (DCO) is like a smart way of making ads that change based on what users do. It looks at things like how users behave, their demographics, and other details, then adjusts the ads to fit that. So, if someone checked out certain products on your website before, DCO can show ads featuring those exact products when they’re browsing elsewhere. This makes the ads feel personal and increases the chances of people actually buying something.
DCO is great for catering to different tastes and behaviors. By using real-time data, DCO can tweak parts of the ads, like pictures, words, and what you want users to do, based on what users are doing at that moment. For example, if someone is looking at your site from a place with a different weather, DCO can show products or deals that match that weather. This kind of personalization not only grabs attention but also shows that you get what users want, making your ads more effective.
The cool thing about using DCO is that it keeps your ads up to date with how users are acting and what they like. As users move through different stages of checking out your stuff, DCO changes the ads to match what they’re into at that time. It’s like having ads that follow users along their journey, adapting to what they want and keeping things interesting. In a fast-paced digital world, using DCO helps your ads stay in sync with users’ changing interests, making connections and getting better results.
12. Stay Informed About AI Updates
Keep an eye out for updates in AI technology that can boost your ad creativity. Check regularly for new features or improvements in AI tools that can make your ad campaigns better. AI is always changing and getting better, so staying informed helps you use the latest tools that can make your ads more engaging. Whether it’s improved writing for better ad copy or better visuals, being up-to-date with AI updates lets you adapt and make your ad strategies even more effective.
Checking for updates not only helps you stay current but also makes your AI-generated ads more efficient and accurate. New features might mean smarter algorithms, faster processing, or better data insights. Being aware of these changes lets you create content that connects with your audience better and improves how well your ads perform. In the fast-moving world of digital marketing, keeping up with AI updates ensures you’re using the latest tools and tech, helping you continually improve how you generate ad creatives.
Conclusion
In wrapping up, it’s clear that AI is changing the game in ad creatives. Businesses are turning to AI-generated ads to connect with their audience in a more impactful way. In this blog post, we explored how you can use AI-generated ad creatives to boost your advertising. We hope these insights will help you create more engaging ads. Stay tuned for more on the evolving world of AI and advertising.