
Your payment processor should be your revenue analyst. Subotiz moves beyond basic reporting, giving you the predictive insights and automated tools needed to dramatically improve retention and optimize pricing models.
Stop guessing. Start maximizing LTV with intelligence built into your MoR.
Your payment processor, reinvented as your revenue analyst. Get predictive insights to optimize pricing and retention—built into your MoR.
Don't react to cancellations—prevent them. Our engine uses real-time subscription health data to identify signals of potential churn risk and flags high-risk accounts.
Predictive analytics integrated into your billing flow is the easiest way to improve retention.
Stop leaving money on the table. Our intelligence platform provides the tools to automate revenue recovery and find the optimal price point for maximum yield.
Reduce manual revenue tasks by up to 90%.
Stop reconciling data across four different systems. Subotiz provides a single source of truth for all your critical recurring revenue KPIs, guaranteeing executive-level accuracy.
What is the maximum event ingestion rate supported?
Our API is built for high throughput and can handle thousands of events per second, scalable to match the rapid growth of API-first businesses.
How do we audit billing accuracy?
Every usage event is logged with a unique ID and traceable through the entire system, providing a verifiable audit trail for both internal reconciliation and customer inquiries.
Can we define custom billing cycles (e.g., weekly or based on usage)?
Yes. Subotiz supports flexible billing cycles, including weekly, monthly, yearly, and one-time charges. You can also set up free trials and discounts based on your business model. Additionally, Subotiz supports hybrid pricing, enabling merchants to combine different pricing structures—such as base fees plus usage-based billing—within the same subscription plan.
What happens if our usage reporting API call fails?
Our SDKs and API are designed with intelligent retry logic and queuing mechanisms to ensure that events are captured reliably, minimizing the risk of lost usage data.
Stop relying on fragmented tools and reactive reporting. Start using intelligence built directly into your revenue infrastructure.
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