5 AI in Advertising Examples for Ad Agencies

See how agencies are using AI to save time and cut costs. Explore 5 AI in advertising examples, including big brands like Gucci and Amazon.
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5 AI in Advertising Examples for Ad Agencies

See how agencies are using AI to save time and cut costs. Explore 5 AI in advertising examples, including big brands like Gucci and Amazon.

If you have multi channel marketing campaigns, AI can streamline time-consuming manual tasks like creating and launching ads, aggregating data, tracking ad performance, and more.

In this blog post, we’ll show you how marketers and advertising agencies can use artificial intelligence to save time and money, using examples and case studies from real companies.

We’ll also introduce you to the leading AI-ad generation and programmatic creative solution in the market. 

Read on for:

  • 3 main uses of AI for advertising agencies
  • 5 examples of AI-generated ads for Gucci, Amazon, Nike, Mercedes-Benz, and Icelandic Provisions Skyr
  • 3 case studies of how AI is used digital marketing

How can advertising agencies use AI?

From creating ads to predictive analytics to campaign optimization, AI can save significant time and money for advertising agencies. Among these diverse use cases, it's AI-generated ads that are capturing the most enthusiasm from marketers.

Most of us have seen impressive ads generated by AI on social media, like this one from Coca-Cola:

But these slick videos and visuals are just the tip of the iceberg. Here are three ways AI can really amp up your ad generation game:

1. Programmatic Creative

We're all familiar with the term "programmatic advertising," which focuses on automating the buying and selling of digital ad space.

However, programmatic creative takes it a step further by automating the design and deployment of digital ads themselves. 

In traditional ad generation, a one-size-fits-all approach is often employed, where a single ad is manually crafted and then placed across various media channels, regardless of the specific audience or platform.

This method lacks the flexibility and personalization that programmatic creative software offers. 

Using Generative AI technologies, programmatic creative automatically produces multiple ad variations tailored to different data inputs, such as audience segments or platforms.

This allows for dynamic changes in ad copy, visuals, or calls-to-action, making the ads more relevant and engaging for each specific audience.

2. Ad Generation

After scanning and understanding audience segments, platforms, and consumer behavior, the next step is to craft targeted ads. 

AI ad generation tools use different AI and natural language processing (NLP) models to automatically create a multitude of ad variations. These could be based on different combinations of headlines, images, descriptions, and more.

The idea is to produce numerous tailored ads that can resonate with different audience segments and demographics.

3. A/B testing at Scale

After generating these various ads, it’s essential to test their effectiveness. This means deploying the ads to see which ones perform best in terms of clicks, conversions, engagement, and other metrics.

Do this at scale to optimize your ad campaigns, and ensure you’re always showing the most effective ads to the target audience and boosting conversion rates. 

But while plenty of tools can help you generate ads, most drop the ball when it comes to launching campaigns and A/B testing.

AdGen AI is the only AI marketing tool that can do all three.

It’s the leading programmatic creative solution in the market, which focuses on generating and testing ads at scale using Generative AI technologies and machine learning algorithms.

A screenshot of Adgen by Adriel tool - AdGen AI

With AdGen AI, the process is seamless. All you need to do is enter your website URL and connect to your ad accounts, and you’ll get a collection of ads in 2 seconds.

Adjust the ad copy and visuals as needed and once you’re satisfied launch them on your ad channels in one click.

The AI-generated ads are already pre-configured in the right ad formats so you don’t need to worry about that. 

Unlike individual AI tools like OpenAI’s ChatGPT or Midjourney, AdGen AI is built upon multiple AI models and is prompt-engineered. This means:

  1. You don’t need to spend time writing the right prompts.
  2. Your marketing messages are more accurate, human-like, and targeted to the right audience.

But does it actually work? Let’s look at some real-world AI in marketing examples → 

AI in advertising examples for real companies

1. Gucci 

An AI in advertising example for Gucci - AdGen AI

We came up with an exciting AIDA ad for Gucci using just its website URL. AdGen AI automatically created: 

  1. The product description 
  2. Copywriting direction
  3. Ad copy purpose (e.g. AIDA, Problem/solution)
  4. Tone & style of your ads (e.g. Luxury, Casual, Adventurous)
  5. UTMs 

Check it out: 

Product description for Gucci - AdGen AI
Copywriting direction for Gucci - AdGen AI

Ad copy purpose for Gucci - AdGen AI

We could edit these at this stage but we went ahead and selected all these ad types and hit “Generate Ads”. 

Selecting creative types - AdGen AI

And these are the results:

Ad copy generated for Meta:

AI-generated ad copy for Meta - AdGen AI

Ad copy generated for Google: 

AI generated ad copy for Google - AdGen AI

These ads are also configured in the required ad format so we didn’t need to take the extra step. We could also adjust these headlines any way we’d like. 

Then, once we’re ready, we can hit “Publish” and the ads will be launched automatically on Google and Meta. 

See how the whole thing unfolded in this video.

2. Amazon

We repeated this process for Amazon and these were accurate and close to the brand already – requiring no edits. 

AI generated product description for Amazon - AdGen AI
AI-generated copywriting direction for Amazon - AdGen AI

And this the ad copy generated for Google: 

Name: The Power of Amazon

Headline: Discover a World of Possibilities

Primary text: Experience the convenience, reliability, and customer satisfaction of Amazon - your ultimate shopping destination!


But you can scroll and select from many different CTAs:

Selecting call to actions - AdGen AI

3. Nike

Here is an uplifting ad featuring a powerful image, motivating copy, and a strong call-to-action for Nike. Notice how the copy and headlines are in line with the tone entered – “inspirational” and “confidence”.

The ads are adjusted to fit three platforms – Meta, Instagram, and Google Search. 

AI generated Nike ads - AdGen AI

4. Mercedes-Benz

Below are three different versions of ad copy for Mercedes-Benz, published across 3 channels - Facebook Ads, Instagram Ads, and Google Ads.

AI generated ad copy for Mercedes Benz for Instagram - AdGen AI
AI generated ad copy for Mercedes Benz for Facebook - AdGen AI
AI generated ad copy for New Benz SUV for Google Search - AdGen AI

5. Icelandic Provisions Skyr

Icelandic Provisions specializes in producing Skyr, a dairy product that is often likened to yogurt but has distinct differences. 

During our live-demo with a client, we input their website URL into AdGen AI and it generated images and ad copy for both Google and Meta platforms. This image looked so delicious that we had to have some yogurt after the meeting!

AI in advertising example for Icelandic Provisions - AdGen AI Skyr

Want to start elevating your ad generation game? Get started here.

Other Use Cases and Examples of AI 

Apart from ad generation, launching, and testing, artificial intelligence can streamline different parts of your content creation and marketing efforts.

We’ve all seen how AI chatbots like OpenAI’s ChatGPT are making waves across the industry.

Companies aren't just using them for customer service anymore. Think personalized marketing messages, real-time consumer insights, and even a hand in content creation.

These chatbots are becoming go-to tools, adding both efficiency and a personalized touch to today's advertising strategies.

Here are some ways that actual companies are using AI, and seeing results: 

Case Study #1: How is AI used in Google ads? Inflow Boosts KEH Camera's Ad Revenue 76.3% with Performance Max

If you're using Google Ads on different platforms like YouTube, Search, or Gmail, you can now use Google Performance Max to make your ads perform better.

Google Performance Max by Google uses artificial intelligence and machine learning to figure out which ads, audiences, and creatives will get you the best results.

This is how an advertising agency used Performance Max to increase an ecommerce client’s Google Ads Revenue by 76.3%: 

Situation: KEH Camera, an online retailer of second-hand camera gear, needed to transition from Google's Smart Shopping to Performance Max campaigns due to changes in Google's advertising platform.

Task: Successfully migrate to Performance Max without losing revenue, aiming to increase it.

Action: KEH’s advertising agency Inflow took a gradual, data-driven approach, pausing existing campaigns, consolidating them, and prioritizing the best performers for initial testing. They then optimized based on performance.

Results: The transition led to a 76.3% increase in ad revenue and a 44.1% increase in transactions for KEH Camera in Q1 2023 compared to Q1 2022.

Why it Worked: A gradual, data-driven approach coupled with human oversight for optimization ensured a successful transition, maximizing ROI.

Case study #2: Cosabella Boosts Email Revenue 60% with AI-Powered Personalization

If you’re wondering whether AI-generated ads and marketing content are effective, look no further than this case study from Cosabella. They increased their email marketing revenue by a whopping 60% using AI-driven content.

Logo of Cosabella - AdGen AI

Situation: Cosabella, a luxury lingerie retailer, faced a flat sales quarter after years of growth.

Task: They needed to revamp their email marketing strategy for better personalization and engagement.

Action: Instead of relying on a digital ad agency, they switched to an AI platform from Emarsys to customize their email campaigns.

Result: The shift led to a 4% increase in email open rates and a whopping 60% jump in email revenue. Their annual "12 Days of Cosabella" campaign also saw 40% to 60% more sales than the previous year, without offering any discounts.

Why it worked: Cosabella had lots of customer data but didn't know how to use it. They fed the data to the software, which in turn created emails with highly-personalized messages and product suggestions. This targeted personalized experience was the key driver behind the success. 

Case Study #3: HubSpot Slashes Acquisition Costs 300% with Midjourney

In an episode of Marketing Against the Grain, Kipp Bodnar (HubSpot's CMO) revealed an experiment they did to create an ad to get more subscribers for the Hustle Daily Newsletter.

This ad, created by Midjourney, reduced the cost of acquisition by 300%.

Situation: The Hustle Daily Newsletter team was using traditional advertising methods like generic stock imagery and copy. 

But they decided to experiment with a new approach using custom images and personalized copy that aligns closely with the value proposition of the newsletter.

Task: Assess the new approach's performance against the traditional one.

Action: The team used Midjourney to create distinct images that communicated the newsletter's value proposition effectively. The images were personalized to the message and were unique in style to stand out from typical ads.

Result: The new advertising approach outperformed the old method by 3X. 

Why it worked: The new approach worked because of the unique perspective and creativity of the team members. While AI created the actual design, what made the difference was the team's unique creative and smart thinking in the AI prompts.

What are the advantages of using AI in advertising?

From all the examples we’ve seen so far, here are some of key advantages of using AI in advertising:

  • Higher Customer Satisfaction: Personalized and relevant ads created with AI lead to better customer experiences, resulting in improved brand perception.
  • Increased Efficiency: AI automates repetitive tasks like A/B testing and data analysis, freeing up human resources for tasks that require creativity and strategic thinking.
  • Time and Resource Savings: Automation of various advertising tasks allows marketers to allocate their time and resources more strategically, focusing on high-level planning and creative endeavors.
  • Faster Decision-Making: Real-time data analysis enables quicker identification of trends and insights, facilitating prompt adjustments to campaigns for better performance.
  • Higher ROI: By optimizing ad placement, timing, and content, AI-driven marketing campaigns generate better returns on investment due to increased conversions and reduced ad spend inefficiencies.

Try AdGen AI: The leading programmatic creative solution

So, you've seen inspiring real-world AI in advertising examples that are changing the game.

With AdGen AI, you can create tailored content and visuals across languages and directly publish on platforms like Google and Meta in seconds. You can also track, analyze, and optimize your ad performance for better results – all from one place. It’s the leading AI programmatic creative solution built for marketers by marketers. 

Try it below!

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