Performance analytics

Node.js
Express
Pug
socket.io
MySQL
AWS

The last 24 hours, property by property. Anything that moves sharply away from its average turns green or red.

Total daily revenue for every property: subscribers, gross revenue and its rates, and the split between the partner and PushPros.

Performance over time for one partner's properties: new subscribers, inactives, unsubscribes and net subscribers.

Reports: the top 20 earners each month, monthly totals per property, template and clone relationships, subscriber health, and partner payouts.

For PushPros · These tools were for PushPros staff only, so the screens show made-up data.

The staff side of PushProsRev. Revenue reporting for internal and partner properties. Performance tracking. Anomaly detection. Alerting. Allowed analysts to quickly deduce whether issues were advertiser-, property-, or platform-wide.

PushProsRev pulled earnings from about a dozen ad networks every hour, across 114 client accounts and 702 properties. Partners saw their own numbers; PushPros staff saw everything.

The staff view covered revenue across every client, including the split between each partner and PushPros; performance charts for every property; and reports ranging from the monthly top 20 earners to partner payouts. The hourly view flags any property whose new subscribers or clicks deviate sharply from their average, so anomalies stand out immediately.

I led its architecture and design from its launch in 2018, and wrote 521 of the 973 commits in its surviving history.