Oculis Analytics

Oculis Analytics is a lightweight analytics platform that delivers clear revenue attribution analytics for SaaS founders and growth teams. It tracks the complete customer journey from first click through payment to renewal, all within a single integrated dashboard. By consolidating visitor data, revenue metrics, and conversion insights, it eliminates the need to switch between separate tools like Google Analytics and Stripe. The platform is built for those who want to understand exactly which marketing channels and pages drive actual revenue. The core value proposition is simplicity without sacrificing depth—founders can see page views, visitor counts, revenue totals, and conversion rates at a glance. This direct visibility into the numbers that move the business makes Oculis a go-to tool for data-driven decision making.

The concrete problem Oculis solves is the fragmentation of analytics data that plagues growing startups. Founders often juggle multiple platforms—Stripe for revenue, Google Analytics for traffic, and spreadsheets for manual reconciliation—to get a full picture of performance. This inefficiency leads to wasted time and missed insights about which marketing efforts truly contribute to the bottom line. Oculis addresses this by unifying all key metrics in one view, showing revenue per visitor per channel and cohort retention over time. The result is that teams can stop guessing and start acting on data that is both accurate and immediately accessible. Without this tool, the overhead of data aggregation can obscure early warning signs of channel underperformance or churn.

First major feature group: One Dashboard. This feature consolidates visitors, revenue, conversion rate, and revenue per visitor onto a single screen. It pulls data from page views, visitor sessions, and transaction events to present a real-time snapshot of business health. The benefit is clear: instead of flipping tabs between Stripe, GA, and spreadsheets, users get every vital statistic in one place. The dashboard includes metrics like total page views (3,987), visitors (893), and revenue ($130), as well as calculated ratios such as rev/visitor ($0.15) and conversion rate (0.2%). This immediate overview enables quick assessment of overall performance and trend spotting. The design is intentionally minimal, focusing on the numbers that matter most.

Second major feature group: Traffic That Pays. This feature provides detailed revenue attribution by marketing channel, showing visitors, revenue, and revenue per visitor for each source. In the interface, channels like Direct, ChatGPT, Google, Bing, and DuckDuckGo are listed with corresponding numbers, making it easy to compare performance. The usefulness lies in eliminating guesswork about marketing ROI; founders can see exactly which channels yield the highest revenue per visitor and allocate budgets accordingly. For example, a channel with high traffic but low revenue per visitor may warrant optimization, while a niche channel with high rev/visitor deserves more investment. This data-driven allocation is critical for scaling efficiently and avoiding wasted spend on underperforming campaigns.