Revenue Alerting System
Replaced manual revenue checks, saved 50+ hours/week, and flagged changes before meetings.
Sole Developer
I built it with the strategy and operations teams that used it every day.
Problem
Revenue visibility was delayed and fragmented. Deal changes were discovered too late to act. Operations spent hours assembling reports instead of responding to issues.
Solution
A Slack workflow combined revenue metrics, compared day-over-day changes, flagged anomalies, and sent context to the right channel.
Outcome
MeasuredSaved 50+ hours/week across strategy and operations. Revenue anomalies now surface instantly instead of after 24+ hours, preventing bad decisions.
How it works
Pull
Fetches daily revenue data from Sheets and BigQuery
Compute
Calculates day-over-day and week-over-week deltas by vertical
Flag
Identifies movers, missing data, and deal state changes
Explain
Adds context about why the numbers moved
Alert
Posts structured updates to the right Slack channels