Know what happens in your Instagram DMs, Messenger and Telegram
AngryBoss reads your business conversations through official APIs and evaluates them on dialog quality, lead quality and manager quality — then tracks how those rates trend over time and alerts you when they shift.
The problem
Sales and support increasingly happen in DMs, but nobody can read every conversation. Slow first replies, missed objections, and dropped leads stay invisible until revenue is already down.
Spot-checking a few chats tells you nothing about the trend — you need to know whether quality is drifting across all of them.
How AngryBoss helps
Per-conversation AI evaluation
Each conversation is scored on three locked dimensions — dialog, lead and manager quality — plus a taxonomy of ~20 features like objections, tone, closing and next-step.
Rates that trend against your normal
Features aggregate into daily rate metrics (first-reply time, closing-attempted %, budget-mentioned %, and more), each with its own baseline — so an alert means this business changed.
Per-operator and ad-vs-organic views
AngryBoss infers which operator handled a conversation from the greeting and splits ad-driven from organic leads, so you see where quality really moves.
Auxiliary inbox, privacy-first
Read everything, reply from a composer on Pro+. Personal data is redacted before analysis, and alerts fire only on aggregate trends — never on individual conversations.
What this looks like in practice
Imagine first-reply time slowly creeping up after a new hire joins the inbox. No single chat looks alarming — but the response-time rate departs from its baseline, AngryBoss alerts on the trend, and a per-operator view shows where to coach.
Works well with
Questions
Which messaging channels are supported?
Is this a CRM?
How is customer privacy handled?
Will customers know a bot is reading the chat?
Start with dialog quality control
Sign up free, connect the channel, and AngryBoss starts watching it for you in minutes.