Contact
Reach Us Anytime
Have a question? We're always here to help.
Contact
Reach Us Anytime
Have a question? We're always here to help.
Contact
Reach Us Anytime
Have a question? We're always here to help.
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.