Realtime Unit Economics at Scale: Beyond Monthly Reports

Ground Truth: Understanding your margin requires knowing your Cost-per-Customer in real-time. Traditional FinOps tools wait for monthly billing cycles to perform allocation. Cletrics uses a high-performance ClickHouse backend to join telemetry with pricing data, delivering sub-second unit economic insights *as spend occurs*.

For SaaS companies, the most critical metric isn't total cloud spend—it's the unit cost of delivering your service. If a new customer onboarding causes a 400% spike in data egress, you need to know *now*, not when the CFO reviews the monthly P&L.

The Allocation Gap

Native cloud billing data is excellent for forensic accounting but terrible for real-time business decisions. Tag-based allocation in AWS CUR can take 24 hours to reflect changes, making it impossible to correlate cost spikes with specific customer deployments or feature launches in the moment.

Real-Time Attribution with ClickHouse

Cletrics re-engineers the unit economics pipeline. By streaming infrastructure metrics directly into a ClickHouse-backed analytics engine, we can join usage events with pricing models instantly. This allows you to:

1. Identify the Cost-per-Feature of every release. 2. Detect "noisy neighbors" in multi-tenant environments before they erode your margin. 3. Schedule a call to see cletrics and our real-time reconciliation engine.

The Real-Time Unit Economics Stack:

Telemetry Stream: Catch usage at the pod or request level.
Pricing Join: Apply list and discounted prices in the stream.
Sub-Second Queries: Group cost by any customer ID or metadata tag instantly.

Technical Context & Industry Benchmarks:

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