Know the True Cost
of Every Customer
You can’t tag a customer, but your inbound traffic is still consuming your infrastructure.
Whether its customers, vendors, partners or bots, visibility into your margins is strategic.
Attribute’s eBPF deep packet inspection captures every signal, calculating cost-to-serve based on consumption data.
Know Your Customer COGS
Attribute observes customer behavior at runtime and attributes cost based on actual resource usage and consumption.
- Total Cost of Ownership full customer cost breakdown (not just compute)
- Automatic COGS/Margin data based on actual customer usage
- Solved for blind spots like k8s, AI Cost, cross-AZ traffic, NAT cost, etc.
- Full break down of “shared resources” without manual intervention
- Works natively in multi-tenant architectures
| Customer | Tier | Cost |
|---|---|---|
| Netflix | Enterprise | $0 |
| Uber | Pro | $0 |
| JP Morgan | Enterprise | $0 |
| Walmart | Pro | $0 |
| Starbucks | Starter | $0 |
You Can't Tag a Customer; How It Works
Attribute’s eBPF and Deep Packet Inspection (DPI) tech allows us to scan and identify customers’ identifiers from the traffic and correlate cloud consumption in runtime.
- eBPF-based data extraction
- Automatically identify and extrats IDs (e.g., JWT, HTTP headers) from traffic to allocate cost per customer
- Runtime cost distribution across all customer accounts
- No change in code or configuration
See the cost per feature/ endpoint for every customer
- Full feature usage breakdown by customer
- Cost per feature per customer
- Identify low-margin-high-usage features
- Data driven pricing and tier structure decisions
- Churn indicators and customer behaviors
| Endpoint | Calls | Cost |
|---|---|---|
|
/api/checkout
Shopify
38%
|
2.4Mcalls | $0 |
|
/api/recommendations
Netflix
51%
|
1.8Mcalls | $0 |
|
/api/search
HubSpot
22%
|
3.1Mcalls | $0 |
|
/api/checkout/refund
Walmart
44%
|
412Kcalls | $0 |
|
/api/ride/dispatch
Uber
89%
|
5.2Mcalls | $0 |
Improve your margins with immediate business insights
"The voice of our customers"
Stop digging. Start knowing.
“Their tagless technology made it extremely easy to overcome the data blindspots we had, and we can clearly discover and contextualize how each service or customer utilizes cloud resources, helping us make informed decisions rapidly.”
How Claroty Achieved Precise Customer Cost Attribution with Attribute
“The data from Attribute transformed our understanding of cost structures, influencing key strategic decisions in pricing, renegotiations, and market positioning.”
Attribute customer unlocks cost margin visibility, pivoting go-to-market approach
“We never had customer context. We saw total deal value and application-level data, but never how the customer actually uses the system.”
Ready to understand your true customer margins?
description
Tags track infrastructure, not the customers using it. A customer moves through your platform hitting your API, consuming shared resources, triggering inference calls without leaving any tag behind. In multi-tenant architectures, there is no resource to tag. You need visibility at the traffic layer, not the infrastructure metadata layer, to see what each customer actually costs.
Attribute's eBPF sensor uses deep packet inspection to read customer identifiers such as JWT tokens, HTTP headers, or client IDs directly from the traffic. It correlates those identifiers with the infrastructure resources consumed in real time, attributing compute, network, database, and AI spend to the correct customer without any changes to your application code.
Attribute surfaces cost-to-serve per customer alongside your revenue data, flagging accounts where infrastructure costs exceed what the customer pays. One Attribute customer discovered over 360 accounts where COGS exceeded revenue, totaling more than $1.3 million in losses that were completely invisible before.