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Product & Platform

How LayerZ works

Read Time 6 mins | Written by: Daniel Beltran

Visual quote expressing LayerZ’s philosophy that online experiences should be as personal and timely as real in-store interactions, displayed in LayerZ brand colors.

LayerZ aims to bridge the gap between physical retail and digital commerce by replicating the nuanced, interactive shopping experience online. In traditional retail, a customer benefits from personalised service, immediate assistance, and tailored recommendations. LayerZ seeks to bring these elements into the digital space through a seamless and intelligent customer engagement strategy. To accomplish this, we have identified several essential steps that form the backbone of this transformation:

  • Audience segmentation

  • Behaviour-based interest detection

  • Tailored interactions to refine interest

  • Personalised call to action

One simplified example in a physical store could be:

  • A customer enters the store and the salesperson notices it, instantly segmenting the type of customer based on age, gender, style, etc.

  • The customer browses the store while the salesperson observes sporadically, noticing that the customer seems interested in a specific product or is struggling.

  • The salesperson approaches the customer and asks if they can be of help. The customer engages, and they have an interaction where the salesperson gets to know the customer better — and the customer becomes more familiar with the products and offerings.

  • After the interaction, the customer might be interested in buying one of the salesperson’s recommendations, reserving a product, or leaving their contact information to be called later by the store.

But how does LayerZ do this in the digital environment?

Let’s see how each step is done.

Audience segmentation

LayerZ employs sophisticated data collection mechanisms to gather essential information about customers the moment they arrive on your website. Through advanced analysis capabilities, the system collects valuable data points that provide insights into visitor characteristics. This comprehensive information serves as the foundation for categorising visitors into distinct and meaningful audience segments, which in turn enables the system to determine the most effective and personalised approach for each group of visitors.
This systematic process of organising visitors into defined categories based on shared characteristics is commonly known as audience segmentation — a crucial first step in delivering tailored digital experiences.

Behaviour-based interest detection

As customers navigate through your site, LayerZ meticulously monitors and analyses their interactions in real time to build a comprehensive understanding of their behaviours and interests. Through sophisticated tracking mechanisms, the system captures and processes every meaningful interaction, creating a detailed picture of how visitors engage with your digital content. This continuous monitoring allows LayerZ to detect both obvious and subtle patterns in customer behaviour, while simultaneously identifying specific areas of interest that could indicate purchase intent or product preferences.

Capturing Interest Through Browsing Behaviour

Each action a customer takes on the website — whether it’s viewing a product, clicking on related recommendations, zooming into product images, reading customer reviews, or revisiting specific items — contributes to an evolving interest profile. LayerZ continuously tracks and evaluates these behaviours to determine key interest points, such as:

  • Product Categories: Identifying whether a customer is focused on a specific type of product, such as sneakers, handbags, or smartphones.

  • Product Features: Detecting common characteristics among browsed products, such as colour, brand, size, material, or price range.

  • Engagement Time: Measuring how long a customer spends on particular product pages to determine the level of interest.

  • Comparison Actions: Noting when customers switch between similar products, indicating a strong interest in a certain category but a need for additional information before making a decision.

  • Repeated Visits: Recognising when a customer returns to a product multiple times, suggesting a high likelihood of intent to purchase.

Aggregating and Analysing Customer Interests

When customer interests are aggregated, businesses gain a powerful tool for understanding broader shopping tendencies. LayerZ applies advanced analytics to examine these aggregated insights, revealing patterns that help businesses optimise their offerings and marketing strategies.

  • Trend Detection: By identifying common preferences across multiple users, businesses can anticipate emerging trends and adjust inventory, pricing, and promotions accordingly.

  • Predictive Insights: Businesses can use historical data to forecast customer needs, enabling proactive engagement such as product restocks, price drops, or special promotions.

Tailored interactions to refine interest

By combining individual interest tracking with aggregate data analysis, LayerZ creates a seamless and intuitive shopping journey. Instead of presenting generic product listings, LayerZ tailors the browsing experience to each visitor, ensuring they are shown the most relevant products in a way that mimics the attentiveness of an in-store salesperson. This real-time responsiveness helps guide customers through their decision-making process, increasing engagement, satisfaction, and ultimately, conversions.

  • Personalised Recommendations: Once a customer’s interest profile is established, LayerZ can generate highly relevant product recommendations that align with their preferences, increasing the likelihood of conversion.

  • Dynamic Content Customisation: Websites can dynamically adjust banners, promotional messages, and featured products to align with real-time user behaviour.

  • Gather Feedback: Encouraging customer feedback through interactive prompts, surveys, or post-purchase inquiries helps refine the personalisation strategy and improve the overall shopping experience.

  • Live Chat and AI Assistance: LayerZ can integrate third-party live chat features or AI-powered chatbots to engage with customers at critical decision points, answering questions and providing tailored guidance.

Personalised call to action

Finally, LayerZ strategically encourages conversion by guiding the customer toward a specific action through a combination of personalised recommendations, targeted messaging, and intuitive user experience design. Whether it’s making a purchase, signing up for a newsletter, booking an appointment, or saving an item for later, LayerZ ensures that every interaction is optimised to move the customer seamlessly through the conversion funnel.

By leveraging real-time data, LayerZ can determine the most effective moment to present calls to action, ensuring they feel natural rather than intrusive. For example, if a customer has spent a significant amount of time browsing a particular product, LayerZ can trigger a limited-time discount offer or a reminder about stock availability to encourage immediate action.

This step ensures that customer interest is not only captured but actively nurtured into meaningful engagement — driving higher sales and long-term customer loyalty.

Additionally, LayerZ enables businesses to refine their approach based on user interaction data, continuously optimising call-to-action strategies through A/B testing and predictive analytics. By identifying which messages and formats yield the highest engagement, businesses can fine-tune their digital strategy to drive higher conversion rates and long-term customer retention.