40,000+ strategies simulated
The Problem
40-60%
Of new signups never complete onboarding or reach their first meaningful action
Day 1-7
The window where most activation happens or fails permanently
One
Chance to make the first experience land before the customer disengages
Our Offering
Every activation decision, tested before it reaches a new user
Simulate these scenarios against synthetic versions of your new signups and see predicted activation outcomes before going live.
The Steps
How it works
Four steps between identifying drop-off points and deploying an onboarding flow you trust.
Ingest activation signals
Connect your existing signup data, onboarding completion rates, feature adoption events, and engagement signals. Swivel builds synthetic representations of your new user segments from this data.
Define the scenario
Choose a scenario to test: a redesigned onboarding flow, a new welcome sequence, a feature gating strategy, a segment-specific first-run experience.
Simulate and validate
Swivel generates and tests activation strategies against your synthetic new users, then validates every recommendation through quantitative, financial, and brand-safety checks.
Deploy the validated flow
Receive a ranked activation playbook with predicted completion rates per segment, time-to-value projections, and grounded reasoning. Hand it off directly to your product or growth team.
Sample Output
What an activation simulation produces
Every simulation delivers a ranked playbook per segment with predicted activation rates and evidence behind each strategy.

The Difference
Retention without vs. with Swivel
Increase experimentation velocity while decreasing the risk to brand and cost of running live tests.
Without Swivel
✕ Onboarding redesigned once or twice a year at most
✕ Every change tested live on real new users
✕ Same onboarding flow for every segment regardless of needs
✕ Drop-off points identified after the damage is done
✕ Time-to-value unmeasured and unoptimized
WITH Swivel
✓ Hundreds of onboarding variations simulated per segment
✓ Validated flows before a single new user is exposed
✓ Segment-specific activation paths tailored to user type
✓ Drop-off risks surfaced in simulation, not in production
✓ Time-to-value optimized per segment before launch
There's More