Orders Overview
Report Orders (weekly) + Summary Driver List (daily)Trips over time
Completed vs cancelled · click a legend item to isolate
Cancellation structure
Share of cancelled orders by reason
click a segment to cross-filter
Service class mix
Completed trips by service class
click a bar to cross-filter
Revenue by service class
Fare in Yango Pro, completed trips
Service class structure over time
Share of completed trips by class, %
Payment structure over time
Cash / card / corporate / promo — share of payment amount, completed trips
Average trip: distance & fare
Completed trips only
Price per km & trips per hour
Fare ÷ km · completed trips ÷ hours online
Driver Profile
Transactions + orders + hours for a single driverFleet Performance
Own fleet drivers only — activity, targets, and who needs attention🎯 Targets — minimum per driver
Fleet trend
Order structure
Drivers
All Drivers Performance
All drivers · selected metrics across time bucketsDriver Balances
Cumulative balance-affecting transactions (cash excluded) up to a chosen date & timeBalance distribution
Number of drivers per balance bucket at the cutoff
Positive vs negative totals over time
End-of-day totals, up to the cutoff date
Top debtors
Deepest negative balances at the cutoff
Drivers detail
Drivers Analytics
Recruitment, activation funnel and churn · as of the latest loaded dayNew drivers added
By “Date added”, split by acquisition channel
Active drivers over time
Unique drivers with ≥ 1 completed trip in the period (orders data)
Cohort conversion
Drivers added in the period who reached their 1st / 10th / 50th trip (lifetime). Recent cohorts are naturally lower — they had less time.
Time to first trip
Average days from “Date added” to first trip, by cohort and channel
Driver status structure
Active = trip ≤ 9 days ago · Pre-churn = 10–13 · Churned = ≥ 14 · Never = no trips at all
Days since last trip
Drivers who ever made a trip, bucketed by inactivity
Drivers detail
Para el Conductor
Una página simple para mostrar al conductor por qué aceptar pedidos = ganar más · показать водителю на телефоне или распечатать💰 ¿Quieres ganar más por hora? Acepta los pedidos.
Datos reales de nuestros conductores (último mes, mínimo 20 horas en línea). Cada barra = ganancia promedio por hora según cuántos pedidos acepta el conductor.
🧮 Calcula tu ganancia
Mueve los controles — la estimación usa la relación real entre aceptación y ganancia de nuestra flota.
✅ Tres reglas simples (basadas en datos reales)
1. Acepta los pedidos que te llegan. Los conductores que aceptan 90%+ ganan hasta 3 veces más por hora que los que aceptan menos del 30%.
2. No filtres esperando el viaje "caro". Nuestros datos muestran: cada viaje paga casi lo mismo por hora — un viaje corto y barato deja tiempo para otro viaje más. El que espera, pierde.
3. Más viajes por hora = más dinero. La zona y la hora casi no cambian tu ganancia por hora (±5%). Lo único que la cambia de verdad eres tú: acepta y maneja.
Revenue Mix
Where the partner income comes from — fleet vs aggregator, driver tenure cohorts, churn lossesPartner revenue by month
Stacked by segment
Segment shares over time
Each segment as % of that month's partner revenue
Cohort matrix — join month × revenue month
Each row = drivers who joined in that month; cells = partner revenue they generated in each later month. Reading along a row shows how a cohort's contribution holds up or fades.
Churn — lost revenue
Drivers whose partner revenue collapsed vs the previous month
Top drivers by partner revenue
Concentration: who the income actually depends on (selected range)
EPH Factors
Why one driver earns S/ 30/h and another S/ 20/h — factor decomposition of earnings per hourEPH vs factor
Each dot = one driver over the selected range
Factor correlations with EPH
Pearson r across all analyzed drivers · |r| closer to 1 = stronger link
Driver comparison — EPH bridge
EPH = trips/hour × net per trip. The bridge splits the EPH gap between two drivers into a frequency part and a trip-value part (exact midpoint decomposition).
All drivers — factor table
Sortable: click a header. Only drivers above the minimum-hours threshold are included.
Do peak hours & districts really matter? — order-level proof
Computed from raw order coordinates of the selected range. Prices are gross fares; "active hour" = a driver-hour with ≥1 completed order.
Fare per active hour · by hour of day
Fare per active hour · by pickup district
District → district average trip price
Rows = pickup district, columns = destination district, cell = average completed fare (S/) · top districts by volume in the selected range
Map
Order geography — demand, destinations & cancellations · powered by API coordinatesHeatmap intensity = order density. Toggle layers above. The map needs internet for the base tiles; the rest of the dashboard works offline.