Having a website where every visitor sees exactly the same experience, regardless of who they are, where they are located, or what device they are using is not the best approach. While a consistent website experience is important, different users can have different needs, contexts, and expectations.
Personalization makes it possible to adapt the experience according to specific characteristics of each visitor. Instead of presenting the same content to everyone, websites can display different messages, images, layouts, or other elements based on predefined targeting conditions.
For large websites, however, creating personalized experiences manually can quickly become complex. Teams need to define who should see each experience, configure the relevant conditions, and ensure that the resulting content remains consistent with the overall website.
Within Kleecks, the Customer Journey workflow makes it possible to create personalized experiences through a dedicated editor. Users can define targeting rules based on characteristics such as operating system, browser, device brand, city, country, or product category, then customize the experience shown to each segment.
The result is a dynamic and targeted customer journey that remains fully integrated into the website.
Starting from the customer journey editor
The process begins in the dedicated editor, where users can create a new customer journey.
The first step is to give the journey a name and description. This helps define its purpose and makes it easier to manage different journeys within the platform.
Users then select the type of experience they want to create. In this case, the personalization option is selected, allowing the journey to be configured around specific user characteristics and targeting conditions.
This initial setup establishes the foundation for creating a customized experience and defining which visitors should be included.
Defining the target audience
The next step is to determine who should see the personalized experience.
Kleecks provides a range of targeting conditions that can be used to define the audience. These include the user’s operating system, browser, device brand, city, country, and product category. Each condition can be used independently or combined with others to create more precise audience segments.
For example, an experience could be designed specifically for users accessing the website from a particular country, using a specific device, or browsing a particular product category.
Combining manual and system variables
One of the key strengths of AI Automation Rules is the ability to combine information defined by the user with data already available on the page.
Manual elements can be used to introduce fixed words, expressions, or symbols that should appear consistently across a specific page type. Custom variables provide additional flexibility, while system variables can be extracted automatically from the website.
This combination allows SEO teams to define the logic behind an optimization rather than manually producing every individual output.
Instead of writing hundreds of titles separately, teams can establish a rule that determines how those titles should be constructed based on the information available on each page. This level of targeting allows personalization to move beyond broad audience groups and become more closely aligned with the context of each visitor.
Combining rules for precise personalization
The ability to combine multiple conditions is an important part of the customer journey workflow.
Instead of defining an experience based on a single characteristic, users can create more detailed targeting scenarios by combining different rules.
A journey could, for example, target visitors from a specific country who are browsing a particular product category. Another experience could be designed for users accessing the site through a specific operating system or device brand.
By combining rules, teams can create highly specific segments and ensure that personalized content is shown only when the defined conditions are met.
This makes personalization more relevant while providing greater control over the overall customer experience.
Saving the journey and starting the editing process
Once the targeting rules have been defined, the journey can be saved.
Users can then select the option to work on the journey and access the editing environment. The page refreshes automatically, providing the context in which the personalized experience can be created.
At this stage, the targeting logic has already been established. The focus therefore shifts from defining the audience to designing the experience that audience will see.
This separation between targeting and editing makes the workflow structured and easier to manage.
Customizing the personalized experience
Within the editor, users can modify different aspects of the page experience.
Text, images, colors, and layout can all be customized to create an experience aligned with the selected audience.
This flexibility allows teams to adapt not only the message but also the visual presentation of the page. A specific audience can therefore receive content that reflects its context without requiring the creation of an entirely separate website or page. The personalization remains integrated directly into the existing site, allowing the experience to feel natural and consistent with the broader website environment.
Creating Dynamic User Experiences
The combination of targeting rules and content customization transforms a static webpage into a dynamic experience.
Different users can be presented with different content depending on the conditions defined within the journey. The underlying page remains the same, while the experience adapts according to the visitor’s profile. This can help businesses create more relevant interactions throughout the customer journey. Instead of relying on a one-size-fits-all experience, teams can tailor specific elements of the website to different audiences. Personalization therefore becomes a structured process rather than a series of isolated manual changes.
From Segmentation to Experience
An effective personalization strategy requires more than simply identifying different user segments. The experience presented to each segment must also be relevant and coherent.
Kleecks connects these two stages within the same workflow. Users first define the characteristics that determine who should see an experience and then customize the content and design that those users will encounter.
This creates a direct connection between audience segmentation and on-site experience.
The result is a more controlled approach to personalization, where each change is linked to a clearly defined targeting strategy.
Scaling Personalized Experiences
Personalization can become increasingly complex as websites grow and audience segments multiply. Managing different experiences manually can require significant time and coordination.
A structured customer journey workflow makes it easier to create and manage multiple personalized experiences based on reusable targeting logic.
This is particularly valuable for websites serving different markets, product categories, locations, or user profiles. Teams can define specific journeys for different audiences while keeping the experiences integrated into the same website.
Instead of creating separate pages for every audience, personalization allows the website experience itself to adapt dynamically.
Conclusion
SEO optimization at scale requires consistency, flexibility, and the ability to adapt to the content of each individual page. Manual processes can achieve this on a small number of URLs, but they become increasingly difficult to manage as websites grow.
Kleecks AI Automation Rules address this challenge by allowing teams to define dynamic optimization logic using manual text, custom variables, and system variables extracted from the website. With page-type targeting, real-time previews, flexible rule composition, and automatic application, the workflow transforms repetitive optimization into a reusable system.
Instead of optimizing every page individually, SEO teams can define how an element should be generated and let automation apply that logic across the entire relevant page set. In modern SEO, scalability is about creating rules that remain dynamic, contextual, and consistent. With AI Automation Rules, optimization becomes a repeatable process that can scale alongside the website.
Check out our video to understand better how Kleecks platform works: https://youtu.be/6x7t2aPLnGg