
+38% more applications
University campaign messaging
- Compared campaign direction before launch
- Identified the strongest messaging direction
- Applications increased from 133 to 186
Preview how audiences will respond to your messaging, product, and strategy before rolling out.
Methodology
We combine public signals, CRM, research, and private data to build customer profiles that model how they think, decide, and respond.
Persona
Louis Cheung
Founder in Tech
Values
Beliefs
Signal sources
Public
Custom connectors
Data engine
Maps signals into behavioral personas grounded in real decisions.

Message Comparison
Sales intelligence layer
0.0%
AI revenue platform
0.0%
Go To Market
Focus budget on the ideas most likely to convert.
Product
Improve conversion and retention across onboarding, pricing, and key flows.

Onboarding funnel
Exam learners
Sign up
Email verified
First flashcard
First study session
Agents
0
Surface
Onboarding flow
Elapsed
0m:00s
Completion by cohort
0.0%
avg. completion across cohorts

Scenario comparison
Launch premium alternative
Avg
0
Launch lower-price alternative
Avg
0
Strategy
Preview which direction is most likely to land before you commit.
Results
Examples of how teams used Decisions Lab to test decisions before launch and measure real-world outcomes.

University campaign messaging

Simulated a restaurant food waste intervention.
See how your audience is likely to respond before you commit budget.