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ForecastPilot
New forecast
Revenue Forecast
Two inputs are all you need. The agent fills in the rest using B2B SaaS benchmarks and states every assumption it makes.
Quick start — pick an example
Fintech
Fintech platform with AI support assistant — 80k users
Legal
Legal SaaS with AI contract review — 45k users
Productivity
PM tool with AI writing assistant — 250k users
IoT / Industrial
IoT platform with AI anomaly detection — 12k users
Required inputs
Total users across all customers — your ceiling before any filtering.
Be specific about workflow and user role. More context = sharper forecast.
Optional — provide these for a more precise forecast
Please fill in both required fields before running the forecast.
Analysing your inputs
Building your AI revenue forecast — this takes about 60 seconds
Analysis Pipeline0 / 8
1
Market sizing
TAM → SAM → SOM with role & compliance filters
2
Adoption modelling
B2B SaaS benchmark curve + workflow adjustments
3
Usage segmentation
Light / Moderate / Heavy profiles, blended average
4
Revenue path mapping
Subscription upgrades vs. on-demand overages
5
Retention modelling
Cohort retention curve with long-term floor
6
Scenario generation
Conservative / Base / Optimistic at Month 6, 12, 24
7
Triangulation & validation
Revenue share, gross margin, ARPU vs. public benchmarks
8
Confidence rating
Assumption log, recalibration triggers, final score