I keep seeing baby gear ads. As a female, 25-34, I don’t wonder why. These marketers think they know me. But I’m not a parent. I, probably like you, see right through the strategy.
This is broad-stroke demographic profiling that fails to provide the type of tailored content that converts these days. To see a shift in the bottom line and customer satisfaction, marketers need to level up from demographic segmentation to targeting audiences’ real-time intent. We need to replace generic guesses with a clearly signposted pathway to what our target audience really wants.
Here’s how to get started personalizing your customer journey.
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What Is Personalization in Marketing?
Personalization is a marketing strategy that gathers behavioral data from customers and uses it to generate customized digital experiences (think Netflix recommending the perfect series or Spotify playing tunes you genuinely love).
Marketers of the 1920s got women to smoke cigarettes by positioning them in front of the suffragettes movement (a defining social issue of the time). This was early-day personalization in a sense, because it positioned a product at the front of what the (new) market wanted. Brands now reflect customer behavior back to them to make their customers feel “seen” and “understood” (a defining social issue of the current day). And it actually works.
For a whopping 93% of marketers, personalization efforts drive more leads or purchases, according to the State of Marketing 2026 report from HubSpot. Research from McKinsey found that providing an AI-powered “next-best experience” (by detecting and responding to an individual’s unique needs) can increase revenue by up to 8% and reduce the cost to serve by 20-30%.
Customers are all about it, too. With the sheer volume of information, products and CTAs plastered across basically every virtual channel imaginable, audiences, like anyone, get overwhelmed. Personalized experiences reduce manual effort and offer targeted omnichannel messaging, recommendations and online journeys. When it comes to shopping, 93% of consumers also say they’re more likely to continue shopping with a brand that delivers personalized experiences.
Marketers love it. Audiences love it. What could possibly go wrong?
How Consumer Data Feeds Personalized Experiences
Customer data has always been at the crux of personalization. Once upon a time, it was just about segmentation, where you target communications to customer segments based on basic demographics, like age, gender and location.
Now, AI and machine learning enable us to track and process large datasets. With this information, we can determine the likely next course of action based on an individual’s historic and real-time behaviors and intent.
To get this right, you need high-quality data. Ideally, that will come from first-party sources (for example, direct online interactions and past purchases) and zero-party sources (where consumers tell you their individual preferences). A combination of the two, plus real-time predictive AI, helps you track decisions and tailor the experience to what the individual is likely to do or need next.
Without solid data, you risk making inaccurate predictions, which diminish customer engagement, so the key is to get your facts straight first.
How To Get Started With Personalization
Personalizing your audience’s user experience requires an operational adjustment. You need the right people, data and technology to implement a personalization strategy — though, you’ll likely have some of those already in-house.
Here’s how to get started:
Choose Your Setup
The best place to start is by deciding how you want your tech to stack. You’ll need a personalization engine, like Adobe Target or Insider One, to automate the delivery of personalized experiences. From there, and to keep it simple, most teams have two options:
- Personalization engine + customer relationship management platform (CRM): In this setup, you would connect your CRM directly to your personalization engine of choice via plug-in or API. Then, the two platforms can share data, customizing experiences based on industry, lead scores or even adapting site utility based on intent.
- Personalization engine + CRM + customer data platform (CDP): Adding a CDP, like Salesforce Data Cloud or Segment, adds another step, but also elevates your personalization strategy tenfold. Your CDP collates data from multiple touchpoints, like mobile apps, social media, eCommerce, AI-driven email marketing strategies, your website homepage and so much more. It drives targeted outcomes based on audience intent right now.
The latter is what genuine real-time personalization is about, whereas the former is a smaller bite if you’re dabbling or have limited resources.
Strengthen Your Team, if Needed
Your teams need a deep understanding of both the data and the human sides of marketing. Those rolling out should have a solid understanding of:
- Data hygiene: Keeping individual customer records squeaky clean and consolidated by standardizing data collection and removing duplicate information. Setting up APIs may also be required to integrate data from different sources.
- Technology: Understanding how to operate the personalization tools in your tech stack.
- Human behavior: Creating “if this, then that” rules and interpreting the data, so that when AI makes decisions, humans can validate whether it’s on the money.
The simplest option is often training existing talent, though hiring or outsourcing is sometimes necessary.
Clean and Connect Your Existing Data
When different platforms talk to each other, they need to agree on what words mean. If you’re using multiple data sources, you’ll want to standardize them. For instance, if one platform tags leads as “hot” or “cold,” whereas another assigns a score out of 10, or if one system uses the term “medical” and another uses “healthcare,” you must stamp out those inconsistencies for the optimization engine to do its job.
While you’re there, remove duplicate information or really, really old data sets. Keep in mind that the time it takes to achieve this process depends on your existing data integrity — but it’s worthwhile. If it seems too resource-intensive, pick five to 10 must-haves to deliver the personalization you want immediately, and work on those.
You can usually connect the platforms that collect your data through APIs. Then, you’ll have a universal pool of information across your brand, from which AI can train and generate personalized experiences.
Deploy the Personalization Engine
The tool that sits in your website and uses predictive AI to deliver real-time personalized experiences is called a personalization engine. Examples include Optimizely and Dynamic Yield.
Once the data is organized, these engines deliver the message. For high-value targeting, you can set “if, then” rules yourself (for example, if the visitor’s Salesforce tag is “Healthcare Executive” and they have visited the pricing page, then show them the Enterprise ROI Calculator).
Alternatively, you can give the platform basic information and let it autonomously deploy the experience. You might offer:
- An end goal (such as improved conversion rates).
- A specific trigger.
- The target segment.
- The desired experience (e.g., make product recommendations, send a chatbot, etc).
- Your priority hierarchy (e.g., if a lead takes three predefined actions, show them a specific banner).
Prioritize Intent Over Demographics
As you set up the personalization engine, create your triggers and experience pathways based on cold, hard data. Rather than demographic cues, lean into behavioral indicators. For instance, you might look across your datasets to determine the three to five most important actions a user takes before converting.
Then, create highly targeted content, whether that’s your banners, landing pages or other textual and visual elements, to guide the individual’s journey.
Start Small, Then Scale
You don’t need to personalize everything at once. Pick one friction point — abandoned carts or your AI email marketing campaigns — and apply your personalization to that specific moment or action.
Because A/B testing is designed to see which experience pushes your bottom line, it’s a good idea to play with personalized content. Track the performance over time and refine the “if this, then that” rules accordingly.
Expand your personalization reach slowly, once you’ve got a solid operational workflow to build on.
Protect Customer Privacy
Sometimes, you’ll tell your audience you’re collecting data via cookie banners that they can either accept, decline or customize. Other times, you’ll send them a pop-up or deploy a registration process asking for them to tell you about the experiences they want to have (think Duolingo sign-ups or firmographic data when you download reports).
It doesn’t matter how you collect it; you must protect data at all costs. Security should be a feature of your service, rather than a roadblock. Use encryption and anonymization to protect sensitive information in transit and at rest — whether that’s via APIs, on your website or stored in your accounts.
Tips for Successful Personalization
Let’s say you follow the above steps. Is it enough? In many cases, it won’t be — and not because you aren’t heading in the right direction. People are complex. Data is complex. We’ve moved beyond the playground, and it takes time and practice to deliver an experience so personal to hot-blooded individuals.
So, here are some tips to keep you on the straight and narrow as you roll out:
- Understand your data: Determine what information you’re starting with, what you need and how you’re going to get it.
- A/B test: Experimenting will not get you to the finishing line right away, but it is one of the fastest ways to get there. Even having a process of testing and adapting based on KPIs gives you tools to scale with accuracy.
- Create next-step content: Deliver relevant content that naturally moves your audience down the funnel, rather than your most recent posts.
- Zero-party data polls: Sometimes, the most direct line is the straight one. Don’t be afraid to ask people how they want their customer needs personalized.
Hey [Name], Sharpen Your Personalization Tactics
The shortest distance between a lead and a sale is pointing your lead to the sale they want to make. Personalization is in high demand, and generic personas no longer cut it with savvy, discerning and emotionally intuitive audiences.
By cleaning your data and connecting your CRM to a predictive engine, your brand can end the address to the many and strike up conversations with individuals. After all, marketing is far more effective when it stops feeling like marketing.
