We all scroll past countless visuals every day, and let’s be honest—only the ones that feel truly relevant make us stop and pay attention. The same goes for your audiences. From the ads in their feeds to the emails in their inboxes, today’s customers expect marketing that feels crafted just for them.
But hey, creating that level of personalized content, especially in visuals, can be both time-consuming and challenging.
That’s where generative AI steps in to change the game, using data and algorithms to generate unique, targeted visuals at scale. With generative AI, brands can go beyond cookie-cutter templates and create visuals that genuinely reflect their audience’s preferences and interests.
In this post, we’ll explore how generative AI tools like Venngage are helping businesses quickly and efficiently craft personalized visuals, making it easier to deliver on-brand content that truly resonates.
Click to jump ahead:
- Why personalization is key for business success
- How generative AI enhances personalization in visual content
- Examples of generative AI in action for personalized visual content
- Best practices for using generative AI in personalized visual design
- The future of generative AI in business personalization
- Unlocking the power of generative AI for personalized visuals
Why personalization is key for business success
“Hey, <name>!” — Chances are, you’ve probably received a fair share of personalized emails. But personalization is so much more than that. From a business perspective, personalization can range from personalized loyalty programs to targeted promotions, tailored experiences and personalized content.
In fact, 71% of consumers expect companies to deliver personalized interactions and companies have seen conversion rates increase by as much as 1800% between the first personalized shopping experience and the tenth.
When customers receive personalized content, they are more likely to click into your site, resulting in a higher engagement rate. Engaging visual content like buying guides and video features can also encourage sign-ups and build a loyal following.
That said, creating personalized content can be time-consuming and prone to human error. But thankfully, we now live in the era of AI.
By automating the design process, crunching customer data and delivering tailored experiences in real-time, AI helps businesses content that’s as unique as your favorite coffee order. But that’s just the beginning. Let’s look at how generative AI enhances personalization in visual content and level up your marketing and business strategies.
How generative AI enhances personalization in visual content
Generative AI is taking personalized visual content to a whole new level, helping brands connect with their audiences in ways that feel both unique and authentic. Here’s a breakdown of how it’s making personalized visuals easier to create and scale while keeping everything on-brand.
1. Creating targeted visuals based on audience data
Generative AI makes it possible to turn customer data—like demographics, behavior and preferences—into visuals that actually feel relevant to your audiences. By analyzing all this information, the AI generates images, graphics and animations that hit closer to home for each audience segment.
Think of it like this: an AI Instagram post generator that creates social media ads that appeal specifically to different age groups or interests. Or perhaps even tailored email visuals for each subscriber to receive something that feels uniquely geared to them.
That way (with the help of AI), brands can give customers that “you just get me” vibe without a designer spending hours crafting each visual. It’s a smooth, efficient way to make every customer feel like they’re being spoken to directly.
2. Automating customization for different platforms and formats
One of the best parts about using AI for visual content is how easily it can create different versions for various platforms.
Each social media site or marketing channel has its own style and requirements and generative AI can adapt a visual so that it fits Facebook, Instagram, Twitter, email or a website.
This saves a lot of time because instead of manually resizing or tweaking the design for each platform, AI does it for you.
For marketing campaigns that need to hit multiple channels, this helps your design team keep everything consistent and saves a lot of headaches. Rather than worrying about how a design will look on each specific site or platform, marketers and designers can instead focus on bringing out the message of your campaign.
3. Enhancing brand consistency across personalized visuals
Personalization is key, but keeping visuals consistent with a brand’s look and feel is also super important.
Generative AI is great at balancing these needs by sticking to brand guidelines like colors, fonts and logos across all visuals, even when they’re tailored for different people or groups. So, whether it’s a social media post meant to engage a younger crowd or an email header for a professional audience, AI ensures the visuals still look and feel “on-brand.”
To help bring your branding up a notch, Venngage Autobrand lets you upload your logos, fonts and brand colors so you can automatically brand your designs with just a click.
4. Scaling personalized visuals for large campaigns
When it comes to larger campaigns, AI can really lighten the load by creating high volumes of personalized visuals quickly. For launches, seasonal campaigns, or events, AI can replicate design principles across hundreds of assets without skipping a beat.
For example, a brand preparing for a holiday sale can use an AI brochure generator to produce marketing visuals tailored to different regions, age groups or product preferences, all while maintaining a cohesive look.
Or, if you’re thinking about using flyers in your upcoming marketing campaigns, this blog on how AI-powered flyers can elevate your event marketing strategy might come in handy.
Without AI, this level of personalization would take a lot of time and resources. With it, brands can reach larger audiences more effectively by making sure each visual feels fresh and unique, even at scale.
Examples of generative AI in action for personalized visual content
From tailored marketing campaigns to product visuals and email marketing, here’s how some businesses are using generative AI to bring personalized content to life.
1. Personalized marketing campaigns
Many brands are using generative AI to add a personal touch to their marketing. With AI, they can create ads, banners or landing pages that speak directly to targeted customer segments.
Take Coca-Cola’s “Masterpiece” campaign in 2023, for example. The campaign went beyond the typical user-generated content by bringing famous artworks to life with AI-powered animation.
Partnering with OpenAI, Coca-Cola used DALL-E 2 and ChatGPT to create a mix of live-action and animated art, making classic masterpieces feel interactive in a whole new way.
AI can also help take the load off creating post-campaign reports. Simply just feed your data into an AI report generator and you’ll get a professionally designed report in no time. Want to learn more about how to do that? I’ve covered all the whys and hows in this blog on how AI simplifies data visualization for business reports.
2. Customer-centric product visuals
Generative AI is also transforming product visuals, allowing brands to adapt them based on what appeals to different customer groups.
Tech companies for example can leverage the help of AI to create visuals that showcase customizable features—think smartwatches with different bands or settings to match different lifestyles. If you’re a fitness enthusiast, the visuals might emphasize sporty options; if you’re a professional, you might want to see more classic, office-friendly styles.
In fact, Nutella even jumped on the personalization bandwagon way back in 2017. The hazelnut cocoa spread brand took personalization to a new level with the help of AI, creating 7 million unique jar designs to celebrate individual Nutella lovers.
The millions of one-of-a-kind jars appealed to Nutella lovers’ with its uniqueness and collectibility and were sold out within a month after its launch.
3. Dynamic email marketing visuals
Email marketing is another area where generative AI shines, especially with dynamic visuals that adapt based on what each customer does online.
Imagine an online bookstore sending out emails with book recommendations featuring cover images tailored to each subscriber’s reading habits. Love thrillers? You’ll see thriller covers. Prefer romance? Your email shows romance titles. It’s a little extra touch that makes customers feel seen and keeps them engaged.
Luxury online beauty and fashion marketplace Farfetch for example, used generative AI to help test different writing styles and optimize email subjects to create personalized email copies to fit their wide clientele and variety of brands they sell. The result? The open rate of their emails increased by 7% for promotional emails and by 31% for emails triggered by events (like abandoned carts). The click rate for these emails also increased by 25% and 38%.
Visuals and copy aren’t the only things AI can help when it comes to email marketing. AI even helps in A/B testing different visuals in emails. For instance, you could test different color schemes and layouts or even include AI-powered infographics to help boost your visual marketing strategy.
By automating the testing, businesses get quick insights into what works best for different audience segments, helping them refine their approach and create emails that really resonate.
Best practices for using generative AI in personalized visual design
Well, it’s easy to see why generative AI has become a go-to tool for many, but relying too heavily on automation wouldn’t be ideal either. After all, that human touch is what makes your designs stand out.
So, how can you strike the right balance? Here are some practical tips for blending AI and brand identity.
Using AI without losing your brand’s voice
Yes, AI can work wonders when it comes to creating stunning visuals. But it’s also super important to make sure that they align with your brand’s aesthetic.
To make sure your AI-generated visuals are always on brand, start by defining your brand’s style. Think about your logo, colors, fonts and the overall vibe you want to project. When setting up your AI tools, provide them with access to these elements so they can generate visuals that reflect your brand’s style.
To show you an example, I tried generating a social media image with Venngage’s AI Instagram Post Generator with this prompt:
“Create a minimalist, casual Instagram post idea to promote Venngage’s AI tools, encouraging followers to use generative AI for personalized visuals.”
and here’s what I got:
One smart way is to create a library of brand assets for your AI to draw inspiration from. This way, it helps maintain consistency while allowing for some personalization. Remember to review and refine its work to keep your brand’s image cohesive.
Leveraging data for personalized AI visuals
Data is a powerful ally when it comes to creating personalized visuals with AI. By tapping into information about your customers—like their preferences, age or online behaviors—you can guide your AI to produce visuals that really hit home for each audience segment.
Start by collecting relevant data from things like customer surveys, website analytics or social media insights. This data helps your AI tailor visuals that feel like they’re made just for specific groups. If you find, for example, that younger customers love bold colors and playful designs, you can set your AI tool to focus on those for that crowd.
You could even easily generate a report with generative AI tools so that your team can easily refer to the market analysis that you did.
Here’s one that I generated using Venngage’s Report Generator:
Don’t forget to also refine your data as you learn what works. The more feedback you gather, the better your AI becomes at generating visuals that grab attention and drive engagement.
Keeping quality control and human oversight
While generative AI can do a lot, having quality control and a human touch is still essential. AI is powerful, but it doesn’t always capture the creative intuition that human designers bring to the table.
Set up a review process where team members can look over AI-generated visuals before they’re shared. This extra step helps catch any errors, inconsistencies or designs that might not fully reflect the brand. A feedback loop with designers can be really useful too—letting them share what’s working and what might need tweaking, which helps refine the AI’s output over time.
By combining AI’s speed with human creativity, you can make sure your visuals are not only personalized and on-brand but also high-quality and engaging.
The future of generative AI in business personalization
It’s no doubt that generative AI is already changing the way businesses create personalized visual content, but the real excitement is in what’s next.
Now, let’s talk about upcoming AI personalization trends and ways businesses can get ready for them.
What’s next for AI personalization for businesses
As generative AI advances, personalization will only get better and of course, smarter. We’re looking at a future where AI can move beyond the basics, picking up on the little details of each customer’s unique preferences.
AI could soon create personalized visuals that cater to someone’s unique tastes, past purchases or even their current mood.
When AI takes personalization to this level, businesses could open up a whole new kind of engagement, where visual content feels more meaningful and relevant to each person.
Getting ready for AI-driven personalization trends
To really get the most out of AI-driven personalization, businesses need a solid base of customer data. Gathering valuable customer insights—like preferences, browsing habits and purchase history—will make AI’s personalization efforts smarter and more spot-on.
But it’s not just about data — businesses should also be building teams that combine tech know-how with creativity.
Marketing teams will need people who understand both AI and design, along with brand managers who can keep everything aligned with the brand’s identity. And with AI tools evolving fast, offering training and upskilling will definitely help teams stay flexible and make the most of these new technologies.
How customer feedback help with better AI content
So, how do you know if your personalized content is working for your target audiences? Simple — your metrics will tell you.
By looking at engagement metrics like clicks, shares and comments, businesses can see what’s working and where they need to make tweaks.
Customer feedback is key to making AI-generated content feel genuinely personalized. AI is powerful, but it doesn’t catch everything—so direct feedback from users helps keep it in check.
This feedback feeds right back into the AI, helping it learn and get more in tune with what customers actually want. Over time, these feedback loops will help your brand refine your AI-driven personalized content, making it feel even more authentic and relevant.
Unlocking the power of generative AI for personalized visuals
Generative AI is making it easier than ever for businesses to create visuals that feel personal, engaging and spot-on for their audience. By using customer insights and automating the design process, brands can build stronger connections and stand out in a crowded digital world.
If you’re ready to start creating personalized visuals that really resonate, Venngage’s AI-powered tools make it easy to get started. Explore what Venngage’s AI-driven design tools can do and start adding that personal touch to your content—at scale, with ease.
