JavaScript
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JavaScript libraries for creating sales funnels with hyper-personalization using AI
Client-side routing with detection of path parameters, query parameters and optionally hass fragment routing.
You can completely change the style and content of the front-end based on parameters to adapt to the user.
Detects client behavior within the app by emitting events to adjust the content and behavior of the app.
It can be easily integrated with applications such as Make, Odoo or chatbots such as Manychat or Rasa.
CustomerJourney.js is a library for building web experiences as living systems, not static pages. Instead of simply rendering content, it treats each visit as an observable, persistent, and actionable user session, ready to be optimized in real time.
CustomerJourney.js architecture radically separates logic and data, using JSON as the Single Source of Truth. This allows entire funnels, copy, animations, and navigation flows to evolve without touching the code, even when generated or adjusted by AI agents. The result: a solid foundation for the Code for No-Code approach.
CustomerJourney.js The JSON objects that define the structure and behavior of each page in the funnel can be transformed into TOON (Token-Oriented Object Notation), reducing semantic ambiguity and improving the efficiency of processing by AI models, enabling the implementation of hyper-personalized and adaptive UX in real time.
CustomerJourney.js incorporates granular customer journey tracking, reactive state management with Redux, and session persistence, turning every interaction—views, clicks, decisions—into signals that can trigger immediate personalization, automation, and in-depth marketing analytics.
CustomerJourney.js From the user's perspective, the experience is seamless and professional: SPA-style navigation, intent-based animations, and instant language and theme changes, all controlled through declarative configuration.
CustomerJourney.js In short, CustomerJourney.js is a tool for those who want to move beyond passive landing pages and start building measurable, adaptive, and conversion-oriented experiences, ready to scale with AI, automation, and real growth.
Approach as a Web App as a system
Each macro component represents an HTML5 section with a layout based on the Bulma style library.
The component has no classes, animations, or text.
The content, Bulma and custom classes, and animations are passed as a JSON object.
Each page detects user behavior and stores it in a Redux state.
The page receives information through route parameters and query parameters.
The behavior is sent to the backend along with the route and query parameters.
From these parameters, the behavior history, and customer information stored in the business management system, an AI can generate a JSON that represents the content, styles, and animations according to the customer profile.
CustumerJourney.js is multilingual, has light and dark themes, and animations based on the Animate.css library.
CustumerJourney.js is a free, open-source library.
Increased conversion rates: Personalized experiences can lead to higher conversion rates as users are more likely to engage with content that resonates with their interests and needs.
Improved customer satisfaction: When users feel that a website or application understands their preferences, they are more likely to have a positive experience, leading to increased satisfaction and loyalty.
Enhanced user engagement: Hyper-personalized content can capture users' attention and encourage them to spend more time on the site, exploring different sections and offerings.
Better targeting of marketing efforts: By understanding user behavior and preferences, businesses can tailor their marketing strategies to reach the right audience with the right message at the right time.
Increased revenue: Personalized experiences can lead to higher sales and revenue as users are more likely to make purchases when they feel that the offerings are relevant to their needs.
Competitive advantage: Businesses that leverage hyper-personalization can differentiate themselves from competitors by providing unique and tailored experiences that meet the specific needs of their customers.
Data-driven insights: Hyper-personalization relies on data collection and analysis, providing businesses with valuable insights into customer behavior and preferences that can inform future strategies and decisions.
Scalability: With the use of AI and automation, hyper-personalization can be scaled to accommodate a large number of users, allowing businesses to provide personalized experiences