Infra cost per business unit
$ per MAU, $ per order, $ per API call, $ per closed ticket. Pulled from your data warehouse and product analytics, attached to the AWS resources that produced them. A 22% drop in $/MAU is a story the board understands.
Your board doesn't care that AWS bill went up 12%. They care that infra spend per active customer dropped 18% — and that you can prove it. We pair AWS data with revenue, product telemetry, and headcount to give IT metrics the C-suite reads.
We replace "AWS bill went up" reporting with three metric families IT leaders can defend at the executive table.
$ per MAU, $ per order, $ per API call, $ per closed ticket. Pulled from your data warehouse and product analytics, attached to the AWS resources that produced them. A 22% drop in $/MAU is a story the board understands.
Sliced by product line, customer segment, and geography. Compare against industry benchmarks (we maintain them — 13% is normal, <7% is best in class). Surfaces which products are getting more efficient and which are silently bleeding margin.
How much AWS footprint a single engineer can responsibly run. Industry baseline is ~$200k / engineer / year. With BlueArch in the loop, our customers run 2–4× that — and the metric shows up as hiring leverage on the IT P&L.
For the first time I walked into a board meeting with one chart: cost per active customer, down four quarters in a row. The conversation changed completely. IT stopped being a line item to defend.
We will baseline your current AWS spend against revenue, product usage, and headcount, then show the metrics your executive team can act on.