Real ranking, not vanity metrics
Per-agent: deals progressed, GP1 contributed, sequences completed, response times.
Per-agent leaderboards, activity feeds, sequence performance, capacity vs deal volume, 1:1 coaching notes attached to records — see every gap before it costs you a renewal.
| # | Agent | GP1 | Deals | Sequences | |
|---|---|---|---|---|---|
| 1 | Sarah Chen | £24,820 | 14 | 8 active | +18% |
| 2 | James Patel | £21,140 | 11 | 6 active | +9% |
| 3 | Emma Reid | £19,650 | 13 | 9 active | flat |
| 4 | Tom Brooks | £15,820 | 9 | 4 active | −4% |
| 5 | Aisha Khan | £14,210 | 8 | 5 active | +22% |
Per-agent: deals progressed, GP1 contributed, sequences completed, response times.
Drop a note on a deal record visible to the agent + their manager. Tied to outcomes.
Per-sequence open / reply / unsubscribe. Cohort analysis by industry or deal size.
Manager-only views layered on top of the same database. No separate tool, no second login.
Sortable by GP1, deals won, sequences completed, response time. Cohort by territory, industry, or vintage.
Every action across the team, in one stream. Filter by agent, deal, or activity type.
@-mention an agent on a deal. Notes thread on the record. Drives the next 1:1.
Per-template metrics. A/B test variants. Auto-pause underperformers.
Are agents getting enough? Too much? Workload visualised against historic close-rate.
Configure rules per pipeline. Watch what fires, when, and why. Adjust without engineering help.
Set up your team during the 30 days. Pre-loaded sample agents demo the leaderboard immediately.