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What is Sitewiz?
Sitewiz offers an AI-driven platform designed to automate and enhance website optimization processes. It employs a system of specialized AI agents that work together to replicate the workflow of expert analysts. This system analyzes user behavioral data, including session recordings, heat maps, and analytics, to uncover patterns, trends, and anomalies that might be missed through manual review. The tool crawls websites dynamically, interacting with elements like carousels and pop-ups, ensuring a comprehensive understanding of the user experience.
Based on its analysis, Sitewiz generates specific, actionable recommendations for website improvements and A/B tests. These suggestions are tailored to the unique user and business context, going beyond generic best practices. Recommendations are ranked by their potential impact, allowing teams to prioritize effectively. Furthermore, the platform assists in implementation by automatically generating ready-to-use code snippets for the suggested changes, facilitating quicker deployment and experimentation.
Features
- Data Analyst Agent: Automatically discovers behavioral patterns, trends, and anomalies using session recordings, heat maps, and analytics.
- Web Agent: Crawls the site like a real visitor, interacting with dynamic UX elements.
- Suggestions Agent: Translates findings into granular, ranked recommendations with business context.
- Coding Agent: Transforms suggestions into ready-to-use code for visualization, implementation, or A/B testing.
- Tailored Recommendations: Delivers suggestions customized to user and business context, beyond generic best practices.
- Data-Backed Decisions: Surfaces hidden trends and insights from behavioral data.
- Scalable Implementation: Generates code snippets for quick deployment of tests or changes.
- Faster Experimentation Velocity: Accelerates the process from data analysis to running experiments.
Use Cases
- Improving website conversion rates through data-driven insights.
- Enhancing website user experience (UX) by identifying friction points.
- Increasing the speed and efficiency of A/B testing cycles.
- Automating the analysis of website performance and user behavior.
- Discovering hidden optimization opportunities missed by manual analysis.
- Generating relevant and impactful A/B test ideas automatically.
- Prioritizing optimization efforts based on potential impact.
- Reducing the manual effort required for website analysis and test creation.
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