Reports
Pipeline analytics, velocity, forecast — and the activation report that fixes the post-signature gap.
Pipeline funnel
Deal count and value at each stage. Conversion between stages.
Conversion rates
Lead → Qualified88%
Qualified → Signed30%
Signed → Integrated0%
Integrated → Scaled0%
Velocity metrics
How long deals sit in each stage. The activation metric is the differentiator.
Avg Lead → Signed
22d
Avg Sign → Revenue
20607d
Win rate
0%
Loss rate
100%
Avg days per stage
The activation report
Our differentiator. Makes failure mode #3 — slow ramp after signature — measurable.
Avg days to first revenue
20607d
% hitting 90d ramp target
67%
Partners activating
3
Days-to-first-revenue trend
↓ Trending down means activation is getting faster. Good.
Revenue ramp — committed vs actual (Rp B)
Forecast
Weighted pipeline by expected close month.
Weighted pipeline (Value × Probability), Rp B
Team performance
Who's shipping, who's stuck.
| Rep | Deals closed | Pipeline (Rp B) | Activation success | Avg response |
|---|---|---|---|---|
| HPHardhani Pradana | 0 | 0.0 | 0% | 9h |
| PWPutri Wijaya | 0 | 0.0 | 0% | 24h |
| ASAndi Saputra | 0 | 0.0 | 0% | 24h |
| MKMaya Kusuma | 0 | 0.0 | 0% | 24h |
| RHReza Hakim | 0 | 38.0 | 67% | 13h |
| SRSiti Rahmawati | 0 | 2.3 | 0% | 14h |
| BPBayu Pratama | 0 | 0.1 | 0% | 15h |
| DADewi Anggraini | 0 | 0.2 | 0% | 24h |
Loss analysis
Why deals die and where in the funnel they die.
Loss reasons
Where deals die (lost value Rp B)