Simulations: generate events, campaigns, and outcomes
Run one guided lifecycle scenario: inject fresh entity events, generate campaign opportunities, then model downstream opens, clicks, engagement, purchases, and revenue.
Current app data
Lifecycle app data
Self-contained sample data is ready
Lifecycle can run immediately with seeded sample users, entities, interest edges, and events.
Active source: current lifecycle sample app tables. Sign in to apply imported workspace data.
App data: current lifecycle database rows
Workspace import: Not imported
Workspace source: Workspace Google Sheets import (Google Sheets)
Simulation flow
1) Create signals
Inject recent lifecycle events so the scoring engine has fresh behavioral and entity-interest changes to evaluate.
2) Generate candidates
Rank users, select the highest-priority opportunities, and create a campaign run using the current assumptions.
3) Model outcomes
Simulate the funnel, review projected revenue, and validate the generated run in Outputs and Campaigns.
Signal motion
Run simulation
Lifecycle simulation
Run the scenario from signal creation through campaign generation and modeled revenue. Start with defaults, then change one variable at a time.