Splitsense

Product Introduction

1. Definition: Splitsense is an agentic conversion rate optimization (CRO) platform powered by artificial intelligence. It is a SaaS (Software-as-a-Service) tool that automates the analysis, hypothesis generation, and execution of A/B tests and multivariate experiments.
2. Core Value Proposition: It exists to automate the manual, time-intensive process of conversion rate optimization. By connecting to a website's analytics and session replay tools, Splitsense uses AI agents to continuously analyze user behavior, identify revenue-impacting friction points, generate and run optimized test variations, and report on performance, thereby increasing conversions without requiring a dedicated CRO team.

Main Features

1. AI-Powered Analysis Agents: The platform deploys specialized AI agents that work autonomously. The Analysis Agent reviews session recordings, heatmaps, and funnel data in real-time. The Page Analysis Agent scans entire websites to flag underperforming pages and estimate revenue loss. These agents use machine learning algorithms to detect patterns in user drop-off, weak messaging, and UX friction.
2. Automated Experiment Engine: The Experiment Agent takes insights from the analysis phase and automatically drafts A/B test variations. It generates alternative copy for headlines, CTAs, and page layouts. Users can edit these AI-generated variants in a built-in visual editor before the agent deploys the test, manages traffic allocation, determines statistical winners, and continues to monitor performance post-launch for regressions.
3. Integrated Analytics & Session Playback: Splitsense functions as a unified CRO dashboard by integrating directly with data sources like Google Analytics, Shopify, and Plausible. It correlates quantitative funnel metrics (e.g., bounce rate, conversion events) with qualitative session recordings, allowing the AI to understand the "why" behind user behavior. This integrated data layer is the foundation for all automated insights and experiment ideas.

Problems Solved

1. Pain Point: It solves the high cost and slow velocity of traditional CRO. Manual audits, watching hours of session recordings, and manually building A/B tests are resource-intensive, leading to missed revenue opportunities from existing traffic.
2. Target Audience: Primary user personas include SaaS founders and product managers needing to optimize signup and pricing funnels; Ecommerce managers and brand owners focused on improving product page and checkout conversion; CRO consultants and agencies managing multiple client sites who need to scale their analysis and testing throughput.
3. Use Cases: Essential for continuously testing and optimizing key revenue pages (pricing, checkout, PDPs). Critical for identifying specific, data-backed friction points in onboarding flows. Indispensable for teams without dedicated CRO expertise to implement a data-driven optimization program.

Unique Advantages

1. Differentiation: Unlike traditional A/B testing tools (e.g., Optimizely, VWO) which are primarily manual execution platforms, Splitsense is an autonomous optimization layer. It doesn't just run tests you create; it discovers the problems, creates the hypotheses, and executes the tests for you, moving from a tool to an automated team member.
2. Key Innovation: Its "agentic" architecture is the key innovation. The system uses multiple, role-specific AI agents (Analysis, Page Analysis, Experiment) that work in a continuous loop. This mimics a full CRO team's workflow—analyst, strategist, and developer—but operates 24/7, learning from live site data and adapting its recommendations and tests over time.

Frequently Asked Questions (FAQ)

1. How does Splitsense's AI generate experiment ideas? Splitsense's AI analyzes aggregated session replay data, user click paths, funnel drop-off points, and on-page engagement metrics. It uses this behavioral data to identify specific elements (like a hidden size selector on mobile or missing trust badges) that correlate with abandonment, then generates targeted copy and layout variations to test against the identified issue.
2. What happens if I disagree with an AI-suggested test or variation? Users maintain full control. All AI-generated experiments and variants are presented as drafts in an editable visual editor. You can modify the copy, adjust the layout, or choose not to run the test. The platform is designed to augment human judgment, not replace it.
3. Can Splitsense run tests on ecommerce platforms like Shopify? Yes, Splitsense offers a direct Shopify integration. It can pull in storefront and product data, analyze the checkout funnel, and automatically generate and run A/B tests on product detail pages (PDPs), cart pages, and the checkout flow to directly impact add-to-cart rates and revenue.
4. How does Splitsense handle statistical significance and winner declaration? The Experiment Agent manages the entire testing lifecycle. It runs the traffic split, monitors key conversion metrics in real-time, and uses statistical analysis to declare a winner once a pre-determined confidence level (e.g., 95%) is reached. It then promotes the winning variant and continues monitoring its performance.
5. Is Splitsense a replacement for Google Analytics or session recording tools? No, it is a complementary layer. Splitsense connects to your existing analytics (GA4, Plausible) and session replay providers. It uses their data as an input to power its AI analysis and automation, meaning you do not need to replace your current data stack.