Test Everything.
Risk Nothing.
Build synthetic replicas of your real customers, test any strategy against them, and deploy only what works.
40,000+
Strategies Simulated
504x Faster
Than The Avg. Live Test
Test Everything.
Risk Nothing.
Build synthetic replicas of your real customers, test any strategy against them, and deploy only what works.
40,000+
Strategies Simulated
504x Faster
Than The Avg. Live Test
Test Everything.
Risk Nothing.
Build synthetic replicas of your real customers, test any strategy against them, and deploy only what works.
40,000+
Strategies Simulated
504x Faster
Than The Avg. Live Test
Connect Swivel to the tools your team already uses
Our Offering
Stop choosing between speed and confidence
Simulate at scale, validate before deployment, and ship strategies backed by evidence, not intuition.
Synthetic Customers
AI-generated personas built from your actual data that model how real customers behave and why. Dynamic representations that respond to inputs the way your customers would.
Pre-Deployment Simulation
Test any customer strategy before it goes live. Pricing changes, retention offers, onboarding redesigns, expansion plays. Simulate the outcome instead of gambling on it.
Strategy Generation
Swivel doesn't just test your ideas. It generates strategies you haven't considered, tailored to each segment and problem. What to do, for whom, and why.
Deployment-Ready Playbooks
Structured, ranked playbooks with predicted impact and grounded reasoning. Built to hand off and execute, not a report your team has to interpret.
Our Offering
Stop choosing between speed and confidence
Simulate at scale, validate before deployment, and ship strategies backed by evidence, not intuition.
Synthetic Customers
AI-generated personas built from your actual data that model how real customers behave and why. Dynamic representations that respond to inputs the way your customers would.
Pre-Deployment Simulation
Test any customer strategy before it goes live. Pricing changes, retention offers, onboarding redesigns, expansion plays. Simulate the outcome instead of gambling on it.
Strategy Generation
Swivel doesn't just test your ideas. It generates strategies you haven't considered, tailored to each segment and problem. What to do, for whom, and why.
Deployment-Ready Playbooks
Structured, ranked playbooks with predicted impact and grounded reasoning. Built to hand off and execute, not a report your team has to interpret.
Our Offering
Stop choosing between speed and confidence
Simulate at scale, validate before deployment, and ship strategies backed by evidence, not intuition.
Synthetic Customers
AI-generated personas built from your actual data that model how real customers behave and why. Dynamic representations that respond to inputs the way your customers would.
Pre-Deployment Simulation
Test any customer strategy before it goes live. Pricing changes, retention offers, onboarding redesigns, expansion plays. Simulate the outcome instead of gambling on it.
Strategy Generation
Swivel doesn't just test your ideas. It generates strategies you haven't considered, tailored to each segment and problem. What to do, for whom, and why.
Deployment-Ready Playbooks
Structured, ranked playbooks with predicted impact and grounded reasoning. Built to hand off and execute, not a report your team has to interpret.
How It Works
Data In, Playbooks Out
Three steps between your customer data and a playbook your team can deploy today.
1
Ingest Your Data
Connect your existing customer data. Behavioral, transactional, and engagement signals from the tools you already use. No new instrumentation required.
2
Simulate Any Scenario
Build synthetic customers from your real data and test any strategy against them. Pricing changes, retention offers, onboarding flows, expansion plays. All before going live.
3
Action-Ready Playbooks
Every simulation produces ranked strategies with predicted impact and grounded reasoning. Built for your team to deploy immediately, not decipher.
How It Works
Data In, Playbooks Out
Three steps between your customer data and a playbook your team can deploy today.
1
Ingest Your Data
Connect your existing customer data. Behavioral, transactional, and engagement signals from the tools you already use. No new instrumentation required.
2
Simulate Any Scenario
Build synthetic customers from your real data and test any strategy against them. Pricing changes, retention offers, onboarding flows, expansion plays. All before going live.
3
Action-Ready Playbooks
Every simulation produces ranked strategies with predicted impact and grounded reasoning. Built for your team to deploy immediately, not decipher.
How It Works
Data In, Playbooks Out
Three steps between your customer data and a playbook your team can deploy today.
1
Ingest Your Data
Connect your existing customer data. Behavioral, transactional, and engagement signals from the tools you already use. No new instrumentation required.
2
Simulate Any Scenario
Build synthetic customers from your real data and test any strategy against them. Pricing changes, retention offers, onboarding flows, expansion plays. All before going live.
3
Action-Ready Playbooks
Every simulation produces ranked strategies with predicted impact and grounded reasoning. Built for your team to deploy immediately, not decipher.
Simulate growth decisions without you commit budget
Test acquisition, onboarding, and engagement strategies against synthetic customers before they reach real ones.
Acquisition
Simulate which offers and channels convert best.
Activation
Test onboarding flows to find what drives adoption.
Engagement
Model how product changes affect usage over time.
Protect revenue and expand accounts without the risk
Simulate retention and expansion strategies against at-risk and high-potential segments before deploying.
Retention
Test save offers and pricing changes by segment.
Expansion
Simulate upsell timing to grow accounts safely.
And MORE…
Have other ideas? Reach out to us!
Simulate growth decisions without you commit budget
Test acquisition, onboarding, and engagement strategies against synthetic customers before they reach real ones.
Acquisition
Simulate which offers and channels convert best.
Activation
Test onboarding flows to find what drives adoption.
Engagement
Model how product changes affect usage over time.
Protect revenue and expand accounts without the risk
Simulate retention and expansion strategies against at-risk and high-potential segments before deploying.
Retention
Test save offers and pricing changes by segment.
Expansion
Simulate upsell timing to grow accounts safely.
And MORE…
Have other ideas? Reach out to us!
Simulate growth decisions without you commit budget
Test acquisition, onboarding, and engagement strategies against synthetic customers before they reach real ones.
Acquisition
Simulate which offers and channels convert best.
Activation
Test onboarding flows to find what drives adoption.
Engagement
Model how product changes affect usage over time.
Protect revenue and expand accounts without the risk
Simulate retention and expansion strategies against at-risk and high-potential segments before deploying.
Retention
Test save offers and pricing changes by segment.
Expansion
Simulate upsell timing to grow accounts safely.
And MORE…
Have other ideas? Reach out to us!
Data Backed
Built for teams that need to show their work
Every recommendation comes with the evidence behind it. No black boxes, no unexplainable outputs, no blind trust required.
Synthetic Persona Review
Strategies are tested against your synthetic customers to evaluate how real segments would actually respond.
Brand and Portfolio Safety
Flags strategies that risk customer backlash or cannibalize performance in other segments.
Quantitative Validation
Machine learning models predict impact with confidence intervals, not point estimates.
Financial Viability
Revenue impact, margin effects, and discount dependency are checked automatically.
Data Backed
Built for teams that need to show their work
Every recommendation comes with the evidence behind it. No black boxes, no unexplainable outputs, no blind trust required.
Synthetic Persona Review
Strategies are tested against your synthetic customers to evaluate how real segments would actually respond.
Brand and Portfolio Safety
Flags strategies that risk customer backlash or cannibalize performance in other segments.
Quantitative Validation
Machine learning models predict impact with confidence intervals, not point estimates.
Financial Viability
Revenue impact, margin effects, and discount dependency are checked automatically.
Data Backed
Built for teams that need to show their work
Every recommendation comes with the evidence behind it. No black boxes, no unexplainable outputs, no blind trust required.
Synthetic Persona Review
Strategies are tested against your synthetic customers to evaluate how real segments would actually respond.
Brand and Portfolio Safety
Flags strategies that risk customer backlash or cannibalize performance in other segments.
Quantitative Validation
Machine learning models predict impact with confidence intervals, not point estimates.
Financial Viability
Revenue impact, margin effects, and discount dependency are checked automatically.
Test Everything.
Risk Nothing.
See how your team can simulate any customer strategy before it goes live.
Test Everything.
Risk Nothing.
See how your team can simulate any customer strategy before it goes live.
Test Everything.
Risk Nothing.
See how your team can simulate any customer strategy before it goes live.
Growth & Retention Team
Product Leaders
Revenue Operations
Data Science Leaders
Lifecycle Marketers
Executive Leadership
Who It's For
Built for the teams that own the decision
Swivel is designed for leaders who carry the risk when a customer strategy succeeds or fails.
Growth & Retention Team
Product Leaders
Revenue Operations
Data Science Leaders
Lifecycle Marketers
Executive Leadership
Who It's For
Built for the teams that own the decision
Swivel is designed for leaders who carry the risk when a customer strategy succeeds or fails.
Growth & Retention Team
Product Leaders
Revenue Operations
Data Science Leaders
Lifecycle Marketers
Executive Leadership
Who It's For
Built for the teams that own the decision
Swivel is designed for leaders who carry the risk when a customer strategy succeeds or fails.
Answers
Frequently Asked Questions
Find quick answers to the most common support questions
Still Have Questions?
Still have questions? Feel free to get in touch with us today!
How can I trust the simulation results?
Every strategy passes through multiple validation gates before it's recommended: synthetic persona review, quantitative ML validation, financial viability checks, and brand and portfolio safety screening. Nothing is recommended based on AI opinion alone.
How is Swivel different from A/B testing?
A/B testing runs on real customers after deployment and takes weeks to reach statistical significance. Swivel simulates outcomes against synthetic customers before anything goes live. You still A/B test when you need to, but only the strategies that have already been validated in simulation. Less risk, fewer tests, faster decisions.
What data does Swivel need to get started?
Behavioral, transactional, and engagement data you're already collecting. Swivel connects to your existing stack (Snowflake, BigQuery, Salesforce, Stripe, and others) and requires no new instrumentation. The richer and more granular the data, the more accurate the synthetic customers, but we can start with what you have today.
How long does implementation take?
Initial data integration typically takes days, not months. Once connected, your team can run simulations immediately. There is no lengthy onboarding cycle, model training period, or professional services engagement required to see first results.
What kinds of decisions can I simulate?
Anything that affects customer behavior across the lifecycle. Pricing changes, retention offers, onboarding redesigns, expansion plays, packaging restructures, promotional strategies, communication cadences. If it touches a customer, Swivel can simulate how they'll respond before you deploy it.
Answers
Frequently Asked Questions
Find quick answers to the most common support questions
Still Have Questions?
Still have questions? Feel free to get in touch with us today!
How can I trust the simulation results?
Every strategy passes through multiple validation gates before it's recommended: synthetic persona review, quantitative ML validation, financial viability checks, and brand and portfolio safety screening. Nothing is recommended based on AI opinion alone.
How is Swivel different from A/B testing?
A/B testing runs on real customers after deployment and takes weeks to reach statistical significance. Swivel simulates outcomes against synthetic customers before anything goes live. You still A/B test when you need to, but only the strategies that have already been validated in simulation. Less risk, fewer tests, faster decisions.
What data does Swivel need to get started?
How long does implementation take?
What kinds of decisions can I simulate?
Answers
Frequently Asked Questions
Find quick answers to the most common support questions
Still Have Questions?
Still have questions? Feel free to get in touch with us today!
How can I trust the simulation results?
Every strategy passes through multiple validation gates before it's recommended: synthetic persona review, quantitative ML validation, financial viability checks, and brand and portfolio safety screening. Nothing is recommended based on AI opinion alone.
How is Swivel different from A/B testing?
A/B testing runs on real customers after deployment and takes weeks to reach statistical significance. Swivel simulates outcomes against synthetic customers before anything goes live. You still A/B test when you need to, but only the strategies that have already been validated in simulation. Less risk, fewer tests, faster decisions.
What data does Swivel need to get started?
Behavioral, transactional, and engagement data you're already collecting. Swivel connects to your existing stack (Snowflake, BigQuery, Salesforce, Stripe, and others) and requires no new instrumentation. The richer and more granular the data, the more accurate the synthetic customers, but we can start with what you have today.
How long does implementation take?
Initial data integration typically takes days, not months. Once connected, your team can run simulations immediately. There is no lengthy onboarding cycle, model training period, or professional services engagement required to see first results.
What kinds of decisions can I simulate?
Anything that affects customer behavior across the lifecycle. Pricing changes, retention offers, onboarding redesigns, expansion plays, packaging restructures, promotional strategies, communication cadences. If it touches a customer, Swivel can simulate how they'll respond before you deploy it.