AI-driven tool to optimize website performance and UX. Provides A/B testing, user insights, and personalization features. Integrates with various platforms for seamless use.
Features
Website Optimization
Automatically improves and optimizes your website content and layout based on user interactions to enhance performance and engagement.
24/7 Monitoring
Continuously monitors your website to ensure it is running smoothly and effectively, making adjustments as needed without manual intervention.
Integration with Platforms
Seamlessly integrates with popular platforms like WordPress, Shopify, and Squarespace, allowing for easy setup and use.
AI-Driven Insights
Provides detailed insights and analytics on performance, user interactions, and optimization results, driven by AI algorithms.
Ad-to-page personalization
Dynamically aligns landing page content with specific ad and search keywords to create a personalized experience for visitors, enhancing conversion rates and lowering costs.
Automated variation creation
Eliminates manual creation of landing page variations by crafting perfectly matched content for every ad group and audience segment based on data analysis.
Google account connection
Allows you to connect your Google account to manage and optimize campaigns and ads more effectively.
Easy optimizer setup
Simple three-step setup for ad and landing page optimization: connect account, set campaigns and optimizers, and choose variations.
AI-driven personalization
Utilizes AI to create personalized ad experiences that resonate with each visitor, optimizing engagements and conversions.
Data-driven improvements
Continuously improves the optimization system with data collection, ensuring up-to-date and effective personalized content creation.
Audience Segmentation
Uses AI to segment your audience beyond geographic location, based on URL, visitor type, device, or platform, allowing for a tailored experience.
Localized Content Delivery
Delivers personalized content that aligns with cultural norms and preferences, enhancing the user experience and engagement.
Generative AI Localization
Implements generative AI to find the best content localized for each region, eliminating manual efforts by marketing teams.
Automated Content Optimization
Coframe automatically and continuously optimizes your website by generating variations of page elements like headlines, copy, and calls-to-action. It uses multi-armed bandit algorithms to find the best-performing variants, ensuring that your website stays updated with changing times and trends.
Automated Keyword Integration
Coframe automatically identifies opportunities to incorporate specified SEO keywords into your site's copy while maintaining a natural tone.
Manual Keyword Updates
You only need to update your keywords once a month, and Coframe will automatically propagate those changes across your site.
Long-tail Keyword Optimization
Coframe helps optimize not only high-volume keywords but also lower-volume, long-tail keywords that might otherwise be overlooked.
SEO Performance Insights
The platform provides valuable insights into keyword rankings, organic traffic growth, and conversion rates via its dashboard.
Fine-Tuned Model for UI Code Generation
Coframe has developed a model fine-tuned with OpenAI to generate high-quality, grounded, and aesthetically aligned UI code. This allows customers to create visually compelling website sections quickly.
Optimizer Algorithm
Enables continuous personalization and optimization of website sections created using the generated UI code.
DesignAlign Benchmark
A judge benchmark used to assess the performance of AI-generated sections against human-designed ones, aiming to achieve a higher alignment score.
Data-Driven Decision-Making
Leverage user data through A/B testing and multi-armed bandit (MAB) strategies to inform design decisions, rather than relying solely on intuition.
Continuous Experimentation
Allows running continuous experiments for consistent improvements in conversion rates and personalized user experiences.
User Preference Adaptation
Enables ongoing adaptation to changing user preferences and trends, facilitating more relevant and effective design updates.
Real-World Performance Data
Utilizes successive experiment builds on real-world data to consistently validate and refine designs for optimal performance.
AI Content Creation
Generative AI automates content development at any stage. It produces variations on design, allowing easy approval and learning over time.
Audience Understanding
AI analyzes conversion data and demographic insights, aiding in better marketing and personalization.
Quick Content Iteration
Leverages generative AI to quickly produce variations of UI or copy, refining ideas efficiently.
Real-Time Feedback
Uses multi-armed bandits for A/B testing, optimizing traffic and conversion rates fast without traditional time delays.
Segmentation and Personalization
Allows segmentation based on various parameters, enabling more targeted and parallel experiments.
Control and Flexibility
Allows marketers to oversee AI-generated variations and incorporate human input, maintaining creative control.
Multi-Armed Bandits (MABs)
MABs optimize processes by continuously testing several 'arms' or variants, dynamically allocating traffic to better-performing options. They help explore multiple variants simultaneously, providing optimized user experience quickly.
Optimizer Algorithm
Coframe uses its Optimizer algorithm to drop low-performing variants and use generative AI to recommend new, potentially superior options. This increases the likelihood of finding the optimal option by continuously testing and tweaking the site based on user interaction and performance.
AI Personalization
Coframe leverages AI to enable personalization, similar to tailored content on platforms like Netflix. This allows for adaptation based on user demographics and prior interactions to improve user experience and engagement.
Thompson Sampling
Coframe uses the Thompson sampling algorithm to dynamically optimize website variants. This involves assigning a 'reward' to each variant to estimate conversion probability, using a Bayesian approach with beta distribution.
Continuous Optimization
Coframe continuously creates new content variants by analyzing existing data and identified underperforming sections. It generates new variants to improve based on previous performances, replacing low-converting ones.
Balancing Exploration and Exploitation
This feature involves using Bayesian models to balance testing new variants (exploration) and leveraging high-performing ones (exploitation) to optimize results.
Real-Time Adaptation and Optimization
Coframe modifies the Thompson sampling algorithm to dynamically generate new variants in real-time, thereby optimizing website performance on an ongoing basis.