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The Power of AI Personalisation in Modern Marketing

June 3, 2025

These days, consumers expect more than just well-designed ads. Your audience now expects an experience that is tailored to their interests, behaviours, and needs.

Personalisation is by no means a new fad, it’s just always been inaccessible to the marketer due to that one golden resource: time.

The difference now is AI personalisation. A game-changer for the modern marketer looking to cut through the noise and build meaningful connections with their audience.

At Blank Slate Digital, we’re all about helping businesses thrive through intelligent, accessible marketing. In this article, we’ll explore how AI personalisation works, why it’s so effective, and how your business can tap into it to boost engagement, conversion, and loyalty.

What Is AI Personalisation?

In simple terms, AI personalisation uses machine learning and data insights to tailor content, offers and experiences to individual users automatically.

It’s like giving every visitor to your site, every subscriber on your list, and every potential customer scrolling your ads their own custom experience, without needing to do the heavy lifting manually.

Real examples of AI personalisation:

  • Email marketing that adapts subject lines and content based on what users previously opened or clicked.
  • E-commerce product suggestions that reflect past browsing or buying habits.
  • Dynamic ads that switch copy or creatives based on location or interests.
  • Web content that shifts depending on whether someone is a first-time visitor or a returning customer.

It’s personalisation, but at scale, and without burning through your team’s resources… just lots of electricity… which is its own problem :/

This graph illustrates the rapid rise of AI in marketing, with global market value growing from $12.05 billion to $47.32 billion and adoption by marketers increasing from 10% to 88%.
This line graph is plotted from data compiled by AI from a range of industry sources, including Statista, McKinsey, SurveyMonkey and Influencer Marketing Hub.

Why Personalisation Matters More Than Ever

The internet is saturated. Every user sees dozens, if not hundreds, of marketing messages each day. Relevance is what cuts through.

When a user sees content that feels like it was made for them, they’re more likely to pay attention and act.

Here’s what effective personalisation brings to the table:

  • More engagement: People spend longer on your site and interact more with your brand.
  • Higher conversions: The right message at the right time increases the chance they’ll take action.
  • Customer loyalty: You’re not just selling—you’re understanding, and that builds trust.
  • Smarter spend: Personalised content performs better, making every marketing pound go further.

It’s not just about “nice to have” user experiences. Personalisation drives results.

How AI Personalisation Actually Works

Let’s lift the lid on what’s happening behind the scenes. AI personalisation isn’t magic, it’s just smart use of data and automation.

The process typically looks like this:

  1. Collect: Data is gathered from your website, CRM, ads, emails, and customer behaviour.
  2. Segment: Users are grouped by interests, actions, or demographics.
  3. Predict: AI tools learn what each group is likely to do next.
  4. Deliver: Personalised content is shown in real time—be it a tailored product recommendation, ad, or CTA.
  5. Learn and adapt: Every interaction refines the system, making your personalisation more accurate over time.

Most of the heavy lifting is done by the platforms you’re already using; Google Ads, Meta, Shopify, Mailchimp and others now offer built-in AI tools. The key is knowing how to use them well.

What Does This Look Like in the Real World?

To keep things grounded, here are some ways businesses are already using AI personalisation to get results:

  • A fashion retailer shows customers different homepage banners depending on past purchases and current trends.
  • An email campaign sends reminders only to users who viewed a product but didn’t check out… but at the time they’re most likely to engage.
  • A service-based business adjusts landing page copy depending on whether the user arrived via a paid ad, newsletter, or organic search. However, the impact this dynamic content has on SEO is often ignored.

You don’t need to be a tech giant to use these tools effectively. AI personalisation has become more accessible than ever; however, as with anything, there are considerations you need to take to ensure it does not inadvertently affect another part of your marketing.

How to Get Started with AI Personalisation

You don’t need a massive data team or huge budget to begin personalising your marketing. Most small businesses already have what they need, they just haven’t joined the dots yet.

Here’s how to make a smart start:

1. Focus on Your Goals

Begin with what matters most. Are you trying to improve conversions? Bring back abandoned shoppers? Upsell existing customers? Let that goal shape your strategy.

2. Use What You’ve Got

Chances are, your current tools already have AI features. Platforms like:

  • Google Ads use responsive ads to adapt based on what’s performing.
  • Klaviyo or Mailchimp can automate emails based on user actions.
  • Shopify has smart product recommendations built in.

You don’t need to reinvent your stack… just make smarter use of it.

3. Prioritise First-Party Data

With privacy rules tightening and third-party cookies on the way out, your own data, what users share directly with you, is more important than ever. Make sure you’re collecting it ethically and using it effectively.

4. Don’t Lose the Human Touch

AI is here to help and should be used as a tool… not replace your creativity. Keep your brand tone consistent, your messaging clear, and your customer experience human.

Common Pitfalls to Avoid

As powerful as AI personalisation is, it’s not foolproof. Here are a few things to watch out for:

  • Overkill: Too much personalisation too fast can feel creepy. Use it where it adds value.
  • Outdated data: Don’t base your entire strategy on behaviour from six months ago.
  • Misalignment: Make sure your automated personalisation still reflects your brand voice and goals.
  • Ignoring privacy: Always be clear with users about how their data is used—and give them control.

Used thoughtfully, AI personalisation is a tool for better, not just more, marketing.

What’s Next for AI in Marketing?

This space is evolving fast and it’s exciting. Here’s where things are heading:

  • Predictive personalisation: AI that can guess what a user needs next, even before they know it themselves.
  • Cross-channel experiences: Seamless personalisation across web, email, social, and beyond.
  • Conversational AI: Smart(er) chatbots and voice tools (an AI phone conversation) that learn from every interaction.
  • Hyper-local targeting: Using geolocation with AI to deliver real-time, relevant experiences.

Bottom line? AI is only getting smarter and marketers who learn to work with it now will stay ahead of the game.

Want to Explore AI Personalisation for Your Brand?

Whether you’re running a lean email campaign or scaling a full e-commerce experience, personalisation can make the difference between being ignored and being remembered.

At Blank Slate Digital, we help brands use tools like AI without the tech headache. We bring clarity, strategy, and results so you can spend less time guessing, and more time growing.

Book a free consultation today and let’s explore how AI personalisation can elevate your marketing.

About the author.

Toby Devonshire holding a laptop

Toby Devonshire

Founder of Blank Slate Digital.

With years of experience working alongside some of the biggest brands in the world, I’ve built my career in digital marketing on a genuine passion for helping businesses grow.

To become the founder of Blank Slate Digital, I’ve taken a self-taught journey to master digital strategies that deliver real results. Now, I’m here to share that knowledge with you, making complex marketing simple and achievable for every business.