Persen

Simulate your audience.

Predictive Intelligence for Sales

Persen builds custom models of enterprise audiences to predict how buyers will respond — before a single message is sent. We provide a testing layer for sales executives to validate plays and forecast performance before going to market.

Historical Play Data

Deep CRM Integration

SalesforceSalesforce
HubSpotHubSpot
ApolloApollo
OutreachOutreach
?
Custom Logs

Predicted Metrics

Performance Forecasts

Open & Reply Probabilities
Engagement Decay Curves
Objection Sentiment Forecast

Simulation Algorithm

1.2B Data Points
ACTIVE SIM
Live Play Simulation
Personas4,200
Iterations50k+
Accuracy94.2%
Predictive Performance
ESTIMATING
Open Rate
32%
Reply Rate
8%
Meeting Conversion
4.5%
Simulation Status
3 ANALYSES
Audience Persona ReplicationSynced
Historical Play BenchmarkingRunning
Behavioral Anomaly DetectionReady

Replicated Clients

Audience Simulation Layer

24/7 Feedback Loop

Compounding Intelligence

Deploy & Observe
Active
Capture Responses
Learning
Model Improves
+2.3%

Embedded Testing Layer Before Execution

We provide a shared testing layer across the revenue organization, giving reps, leaders, and strategy teams clear insight into which plays drive engagement, pipeline, and revenue—before and after execution.

Outbound Play
Cold Email Sequence
Simulating
Predicted Reply Rate
24.3%
Leads Qualified
847

SDR Managers

Simulate outbound plays to validate messaging before assigning leads.

Q1 Meeting Forecast
Jan
Feb
Mar
Apr
May
Jun
Actual
Forecast
92.4%Forecast Accuracy

VP of Sales

Forecast meeting volume with 90%+ accuracy before going to market.

Unified Pipeline
MQLs → SQLs34.2%
Revenue Impact+$2.4M

Revenue Operations

Unified intelligence across sales, marketing, and customer success.

Message A/B Test Results
A
"Boost revenue by 40%..."
67%
Winner
B
"Transform your sales..."
33%
2,847 sends
95% confidence

Content Strategy

Test messaging variations and optimize for engagement.

Buyer Response Prediction
Play Optimization
Pre-Market Validation
Revenue Estimation
Continuous Optimization
Actionable Analytics
Data-Driven Decisions
Message-Level Testing
Buyer Response Prediction
Play Optimization
Pre-Market Validation
Revenue Estimation
Continuous Optimization
Actionable Analytics
Data-Driven Decisions
Message-Level Testing
Buyer Response Prediction
Play Optimization
Pre-Market Validation
Revenue Estimation
Continuous Optimization
Actionable Analytics
Data-Driven Decisions
Message-Level Testing
Buyer Response Prediction
Play Optimization
Pre-Market Validation
Revenue Estimation
Continuous Optimization
Actionable Analytics
Data-Driven Decisions
Message-Level Testing

Backed by industry leaders and sales intelligence experts

Backed by

Google
Amazon
Box
Astronomer
Mastercard
Salesforce
Wharton
Harvard
Berkeley
Stanford
Google
Amazon
Box
Astronomer
Mastercard
Salesforce
Wharton
Harvard
Berkeley
Stanford
[Frequently Asked Questions]

Persen models enterprise audiences to simulate buyer behavior, giving revenue teams a testing layer to validate outbound plays and forecast performance before and after execution.

Persen is used by SDRs testing individual plays, sales leaders tracking long-term performance, revenue teams analyzing engagement trends, and content teams validating messaging strategy.

No. Persen sits alongside your existing stack as a testing and intelligence layer, enhancing—not replacing—your current workflows.

Yes. We're SOC 2 Type II certified and GDPR compliant. Your data is encrypted and never shared. We also offer private deployment options if needed.

Traditional tools measure results after outreach is sent. Persen predicts outcomes in advance by simulating how your ideal customer profile responds—reducing guesswork and wasted execution.

Yes. Persen is built to scale across teams, segments, and markets, evolving as your sales motion and data complexity grow.

Ready to work with us?

Reach out and let's explore what Persen can unlock for your team.

[Simulate your next play]