What does it actually cost to serve one customer?

Turn infrastructure spend into a number your finance team can use — cost per customer, per transaction, per team, tracked over time.

01

Define your services

Map the infrastructure that makes up a service — the servers, tools, and cloud costs behind it.

02

Define your metrics

Pick what "a unit" means to you — customers, API calls, transactions — and link it to the services behind it.

03

Track cost per unit

Watch the number move over time, with sparkline trends so a spike doesn't sit unnoticed for a quarter.

04

Catch efficiency loss early

Get a clear signal when cost per unit starts climbing, before it shows up as a margin problem.

INTEGRATIONS

Every source of spend, one connection away

AWS
AWS
Azure
Azure
Google Cloud
Google Cloud
Kubernetes
Kubernetes
Datadog
Datadog
Snowflake
Snowflake
OpenAI
OpenAI
Anthropic
Anthropic
AWS
AWS
Azure
Azure
Google Cloud
Google Cloud
Kubernetes
Kubernetes
Datadog
Datadog
Snowflake
Snowflake
OpenAI
OpenAI
Anthropic
Anthropic
AWS
AWS
Azure
Azure
Google Cloud
Google Cloud
Kubernetes
Kubernetes
Datadog
Datadog
Snowflake
Snowflake
OpenAI
OpenAI
Anthropic
Anthropic
AWS
AWS
Azure
Azure
Google Cloud
Google Cloud
Kubernetes
Kubernetes
Datadog
Datadog
Snowflake
Snowflake
OpenAI
OpenAI
Anthropic
Anthropic

See it from three seats

Cost per customer dashboard for finance

For the CFO: “What's our cost per customer?

Map your infrastructure spend to your customer base and watch gross margin per customer move month over month — the number investors ask for, without exporting billing data into a spreadsheet by hand.

Feature infrastructure cost dashboard

For the CTO: “What does this feature actually cost us?

Tie a service's infra footprint to a specific feature and see whether the engineering investment is paying for itself, or quietly becoming the most expensive part of the product. (Coming soon)

Cost per transaction usage-tracking dashboard

For the DevOps lead: “Is this workload getting more expensive to run?

Track cost per transaction or per API call as usage scales, and catch the moment infrastructure efficiency starts sliding backward — before it turns into a rewrite nobody planned for.

What's Coming Next

  • 01

    Customer-level cost, automatically.

    Right now, defining "a customer" as your metric is manual. A native CRM connection (Salesforce, HubSpot) will pull customer counts in directly.

  • 02

    Feature-level cost, automatically.

    Same idea, but for engineering — an APM integration will connect service costs to specific features without manual mapping.

  • 03

    An agent that explains the "why."

    Instead of just showing that margin dropped, the plan is for the FinOps agent to explain what drove it — and suggest what to change.

  • 04

    Forecasted unit cost.

    Not just where cost-per-unit is today, but where it's headed if current growth continues.

  • 05

    Reports built for outside the building.

    Board-ready and investor-ready exports, not just internal dashboards.

Built for every stakeholder

  • See which services are driving cost, not just which cloud bill is largest
  • A foundation for conversations with finance that don't start from a spreadsheet
  • Early warning when a service's cost footprint is growing faster than its usage

Frequently Asked Questions

Everything you need to know about Digitomics and how we help organizations optimize their technology ROI.

Active services, active metrics, total monthly infra cost across services, and average unit-cost trend.

Know what one customer actually costs you

Stop rebuilding this in a spreadsheet every month.