Personalised ads are no longer just a trend—they’re the future of digital advertising, and Generative AI is leading the charge. By using Generative AI for ads, advertisers can revolutionize the advertising process, creating highly targeted ad creatives that resonate with individual customers.
This breakthrough technology uses generative models and artificial intelligence to make ads personalisation seamless, efficient, and impactful.
Personalised ads can boost click-through rates by up to 200%, making them a must-have in the creative process. Whether it’s through Google’s Ad Center, apps, or other platforms, brands now have the tools to streamline content creation and deliver relevant ad experiences.
From businesses on YouTube to large-scale campaigns, this shift is empowering marketers to not only save time but also drive better results by leveraging real-time data and new content.
With generative AI solutions, the ability to create tailored ads based on user preferences is becoming the gold standard.
Whether it’s customising imagery or crafting interactive videos, advertisers are finding smarter, faster ways to connect with their customers, transforming the industry and shaping the future of advertising.
L’Oréal: Virtual Hair Color Try-On Ads
L’Oréal has taken a creative leap in how they engage with customers through ads, and trust me, it’s something that’s a game changer in the beauty and tech space. The beauty giant partnered up with generative AI to create a feature that lets users try on hair colors virtually.
Imagine scrolling through your Instagram feed, and you see an ad for L’Oréal’s latest hair dye collection. But here’s the cool part: you can actually see how you’d look with that color right then and there. No need to visit a salon or even buy the product first—just a few taps, and you get to try it on instantly.
Here’s a closer look at what they did:
- Generative AI in Action: L’Oréal leveraged generative AI technology to give users a chance to try out different hair colors through an augmented reality (AR) experience directly in the ad.
- Platform Focused: These ads were launched across social media platforms, mainly Instagram. They tapped into an audience that’s already highly engaged with visual content, which was a smart move.
- User Customization: You weren’t just shown a generic color on a model. L’Oréal used AI to personalise the experience, making it feel like it was you in the ad. This interactive element let users see how they would look with various shades of hair, giving them the ability to experiment without the commitment.
In a Nutshell
In a nutshell, this was a big step forward in how ads can be used. Instead of just pushing a product, L’Oréal used generative AI to engage customers in a way that felt natural and intuitive, and the results spoke for themselves.
This kind of personalised, interactive advertising is exactly where the future is headed. Also, there are some exciting use cases of Generative AI that you won’t want to miss—explore them here.
Starbucks: AI-Driven Email Personalization
Starbucks is a company that’s all about creating a personalised experience for their customers, and they’ve taken this idea to the next level with AI-driven email campaigns.
Instead of sending generic promotional emails as most brands do, Starbucks used AI to create tailored email recommendations based on a combination of things like your past purchases, preferences, and even the weather in your area.
Imagine getting an email that says, “Hey, it’s a chilly day—how about a hot caramel macchiato on us today?” It’s like the brand knows exactly what you want before you even think about it.
But here’s the exciting part: this personalisation isn’t just limited to emails—it’s part of Starbucks’ larger strategy to change how they connect with customers.
Starbucks’ Re-Invention Plan
Last September, Starbucks rolled out a three-year re-invention plan with a bold vision: to adapt their operating model using automation and AI. Their aim? To meet the rising demand for personalisation from younger consumers while also boosting efficiency.
At the heart of this transformation is Deep Brew, Starbucks’ proprietary AI platform. This powerful tool doesn’t just enhance digital marketing but also optimises store operations and improves their already-popular rewards program.
Here’s a breakdown of what they did:
Leveraging AI for Personalization
Starbucks integrated AI into their email system to analyse data from their customers—everything from previous orders to local weather patterns. The goal? To recommend beverages that customers are likely to enjoy and at the right time.
Data Integration
By looking at things like your purchase history and preferences, Starbucks could suggest drinks you’ve ordered before or new items they think you’ll love. But what made this especially cool was the integration of local weather data, so the emails felt timely and relevant. Cold weather? Get an offer for a hot drink. Sunny day? A chilled iced coffee might be on the way.
Targeting the Right Audience
Starbucks didn’t just throw random offers at customers. They used AI to segment their audience based on behaviors and sent specific recommendations that felt tailored to each individual.
Beyond Email
The AI magic doesn’t stop there. Starbucks has incorporated AI into other parts of their operations too:
- Optimising Store Operations: With AI-driven labor allocation and inventory management, Starbucks ensures their stores are always ready to serve customers efficiently.
- Enhancing Rewards: Starbucks Rewards has become even more engaging with AI identifying customer preferences and offering deals that feel personal.
In a Nutshell
Starbucks’ use of AI-driven personalisation is a masterclass in how technology can transform customer engagement. It’s not just about sending emails—it’s about sending the right emails at the right time, and extending that personalisation across every customer touchpoint.
By tapping into AI, they’ve been able to create an experience that builds loyalty, and drives sales. In a world where everyone’s competing for attention, Starbucks is proving that relevance makes all the difference.
Nike: Personalized Shoe Ads
Nike has been at the forefront of blending creativity with tech, and when it comes to personalised ads, they’ve really nailed it.
Instead of showing customers generic sneaker ads, Nike decided to take things up a notch by creating personalised visuals of custom shoe designs.
These ads weren’t just static images—they reflected each user’s personal preferences for color, style, and even the specific customisations they’d chosen on Nike’s website or app. It was like Nike was offering a sneak peek into their very own personal sneaker design, and it worked wonders.
Here’s exactly how they pulled it off:
- Custom Visuals Based on User Preferences: Nike utilized data from their customisation platform, where users could design shoes to their liking.When users interacted with the customisation tool, Nike used AI to create dynamic ads showcasing those exact designs, but in a visual format that appeared on social media or other digital channels.
- Color and Style Adjustments: Based on the data they gathered—like preferred colors, styles, or specific features (e.g., laces, logos, soles)—Nike tailored the visuals to match what each person had been playing around with. This made the ads feel incredibly personal, almost like the brand was showing you your shoes.
- Dynamic and Interactive Ads: The visuals didn’t just showcase static products. They reflected an active engagement with Nike’s customisation process, which made the ads feel more like an experience than a simple promotion.
In a Nutshell
Nike’s personalised shoe ads are a perfect example of how brands can leverage personalisation to create deeper connections with customers.
By integrating custom visuals based on a user’s personal design choices, they made the entire shopping experience feel unique and tailored. This isn’t just marketing—it’s about building a relationship where the customer feels like the brand is speaking directly to them, and when that happens, interest grows, and conversions follow. Simple, but super effective.
Cadbury: Personalized Video Ads
Source : creativeboom.com
When you think of Cadbury, you probably think of delicious chocolate, right? Well, they’ve taken that idea to the next level by adding a personalized twist to their ads, and the results were pretty sweet.
For festive seasons—think holidays and special gifting occasions—Cadbury used generative AI to create video ads that were anything but generic. These weren’t just your run-of-the-mill commercials. Cadbury made them personal, weaving the names and details of viewers (and their loved ones) directly into the content.
Imagine watching a video where Cadbury addresses you by name and even talks about gifting chocolate to someone you care about. It made the experience so much more personal, striking an emotional chord.
Here’s how they pulled it off:
- Generative AI for Personalized Content
Cadbury used AI to generate dynamic video content tailored to individual viewers. From customer names to their loved ones’ details and preferences, each video felt unique. But that’s not where their AI adventures end.
To celebrate their 200th anniversary, Cadbury launched My Cadbury Era, a Gen-AI-powered tool that lets anyone become the star of their own classic Cadbury poster.
Here’s how it works: users upload a selfie, pick one of seven iconic Cadbury ads spanning two centuries, and watch as the tool reimagines the ad with their likeness. It’s a playful way to connect with Cadbury’s rich heritage, blending nostalgia with cutting-edge AI technology.
It also takes personalisation to a nostalgic level. By putting your face into a historic Cadbury poster, it transforms a fun gimmick into a lasting memory. Plus, it comes with a chance to win £200, adding a little extra sweetness to the deal.
- Emotionally Engaging Content
The key to Cadbury’s campaigns lies in the emotional connection. The personalised videos spoke directly to viewers, making them feel seen and valued, while My Cadbury Era played on nostalgia and the joy of being part of something historic.
It wasn’t just about selling chocolate; it was about creating experiences—whether it’s the thrill of seeing your name in a video ad or imagining yourself in a Cadbury poster from the past.
In a Nutshell
Cadbury’s AI-driven campaigns are a prime example of how technology can do more than just increase sales—it can create memorable, emotional experiences. By personalising their content, Cadbury didn’t just grab attention; they built deeper connections with their audience.
It’s not just about delivering a message; it’s about making that message personal. And whether it’s through a tailored festive video or seeing your face in a historic Cadbury ad, personalisation creates a bond that lasts. Cadbury shows us that when you mix technology with emotional resonance, the results are truly magical.
Spotify: “Wrapped” Campaign Ads
Source : Spotify Newsroom
Spotify’s Wrapped campaign is one of those marketing moves that’s pure genius, and it’s a perfect example of how generative AI can supercharge personalisation. Every year, Spotify taps into the data of millions of users and creates a tailored year-in-review that highlights your top songs, artists, genres, and even how many minutes you spend listening to music.
This year, Spotify has taken Wrapped to a whole new level, incorporating innovative AI-driven features like AI DJ, AI Playlist, and the groundbreaking Your Spotify Wrapped AI Podcast. These additions elevate the personalised experience even further, making Wrapped not just a summary of your music habits but an interactive celebration of them.
Here’s how they did it:
Generative AI Personalizes the Experience
By processing listening history, AI identifies the most relevant and interesting data points for each user, from your favorite artist to the songs you couldn’t stop playing. This personalisation, powered by AI algorithms, is the heart of Wrapped, creating meaningful and tailored content for millions of listeners.
With features like the AI Podcast, Spotify has pushed personalisation even further. For the first time, users can listen to a custom podcast summarising their music year, hosted by AI personalities. Built with Google’s NotebookLM, this feature delivers a deep dive into top songs, artists, and genres, making the Wrapped experience more immersive than ever.
AI in Creative Ad Generation
The new DJ: Wrapped feature takes this idea to the next level. Available in English and Spanish, it provides real-time commentary on your music year alongside curated tracks, with added insights from Spotify’s editors. This feature enhances the connection between listeners and their Wrapped playlists, making it both informative and fun.
Social Sharing Powered by AI
Wrapped has always been about virality, and generative AI ensures the content is not just personal but also social-media-ready. Personalized visuals and playlists are turned into highly shareable formats, creating posts that feel fresh and unique.
This year, AI Playlist adds a creative twist. Premium users can generate playlists based on prompts like “my top 5 genres” or “artists similar to my top 5,” giving fans the power to curate playlists beyond their Wrapped results. It’s a clever way to make sharing and exploring music even more exciting.
In a Nutshell
Spotify’s Wrapped campaign continues to set the bar for AI-driven marketing. By incorporating cutting-edge features like the AI Podcast, DJ: Wrapped, and AI Playlist, Spotify transformed Wrapped from a recap into a full-blown celebration of music and connection.
The campaign isn’t just about promoting a service—it’s about engaging users in ways that feel personal and meaningful.
Why These 5 Examples Work
These campaigns from L’Oréal, Starbucks, Nike, Cadbury, and Spotify all leverage generative AI for ads to create highly personalised, emotionally engaging experiences.
Let’s break down what makes them work and how AI powers these results.
Key Takeaways: Why These Campaigns Are Powerful
- Personalisation at Scale: Generative AI solutions allow brands to create ads personalisation at a level previously impossible. Whether it’s Starbucks recommending drinks based on preferences and local weather, or Nike showing customized shoes, the content feels relevant and individual.
- Emotional Connections: By integrating generative AI, brands foster a deeper connection with users, like Cadbury’s personalised video ads or Nike’s custom designs. This strengthens brand loyalty and engagement.
- Interactivity: Ads based on user participation, such as L’Oréal’s Virtual Hair Try-On or Spotify’s Wrapped, encourage interaction and sharing, driving organic promotion and deeper engagement.
Generative AI’s Role: Connecting at Scale
- Personalized Ads: Generative AI enables brands to create unique ad creatives for millions of users, ensuring each ad feels tailored—whether it’s a custom Nike shoe or a Starbucks drink suggestion.
- Efficient Scaling: Through AI-powered ad creation, brands can automate the advertising process, scaling personalisation without manual effort. This makes creating ads more efficient and effective.
- Creative Flexibility: Generative AI for ads offers flexibility in the creative process, adapting the ad creatives in real time to keep them fresh and engaging, like Spotify’s personalised year-in-review ads.
After exploring these amazing examples, it’s clear that having a solid Generative AI strategy and a skilled developer is crucial. Learn how to craft the perfect strategy here and discover how to hire the right Generative AI developer here.
Conclusion
Generative AI is more than just a buzzword—it’s reshaping how advertisers work. Its ability to customize campaigns while minimizing effort ensures high-quality, engaging content that connects with consumers. From dynamic images and videos to personalised imagery, brands can now discover what works and deliver it effortlessly.
By tapping into advanced technologies and actionable insights, this innovation drives effectiveness while helping businesses promote their offerings across digital platforms. Whether it’s crafting an efficient campaign or partnering with the right app to boost results, generative AI gives advertisers the tools to generate impactful ads with ease.
As the industry evolves, leveraging solutions like these will continue to benefit businesses, creating ads that not only stand out in digital display but also resonate with the right audience. Simply put, the future of advertising is here—and it’s powered by generative AI.
Unlock the Power of AI with Wow Labz
The power of generative AI in personalised advertising is undeniable, and as we’ve explored, it’s transforming the way brands engage with their audiences. At Wow Labz, we understand that staying ahead in this rapidly evolving landscape requires not just innovative technology, but also the expertise to implement it effectively. Our team is dedicated to helping businesses leverage generative AI to create dynamic, hyper-personalised ad experiences that truly connect with consumers.
Whether you’re looking to optimize your campaigns, enhance creative strategies, or drive better results, Wow Labz is here to guide you every step of the way. Connect with us today to harness the full potential of generative AI for your brand’s success.
