Simulate Retention Strategies

Stop losing customers to strategies you never tested.

40,000+ strategies simulated

Save Offers
Pricing Adjustments
Intervention Timing
Winback Campaigns
Plan Restructuring
Competitive Response
Discount Dependency

Simulate Retention Strategies

Stop losing customers to strategies you never tested.

40,000+ strategies simulated

Save Offers
Pricing Adjustments
Intervention Timing
Winback Campaigns
Plan Restructuring
Competitive Response
Discount Dependency

Simulate Retention Strategies

Stop losing customers to strategies you never tested.

40,000+ strategies simulated

Save Offers
Pricing Adjustments
Intervention Timing
Winback Campaigns
Plan Restructuring
Competitive Response
Discount Dependency

The Problem

Retention strategy is high-stakes and low-visibility

Your team knows who's at risk. The models are built, the scores are updated, the dashboards are green-to-red. But when it comes to deciding what to actually do about it, the process stalls. Every retention offer is a gamble deployed on real customers with weeks of waiting to learn if it worked. The boldest ideas never ship because the cost of getting it wrong is too high.

68%

Of retention strategies are reactive, deployed after churn signals are already critical

3-6 Weeks

Average time from strategy concept to statistically significant live test results

2-3

Retention strategies most teams can test per quarter due to resource and risk constraints

The Problem

Retention strategy is high-stakes and low-visibility

Your team knows who's at risk. The models are built, the scores are updated, the dashboards are green-to-red. But when it comes to deciding what to actually do about it, the process stalls. Every retention offer is a gamble deployed on real customers with weeks of waiting to learn if it worked. The boldest ideas never ship because the cost of getting it wrong is too high.

68%

Of retention strategies are reactive, deployed after churn signals are already critical

3-6 Weeks

Average time from strategy concept to statistically significant live test results

2-3

Retention strategies most teams can test per quarter due to resource and risk constraints

The Problem

Retention strategy is high-stakes and low-visibility

Your team knows who's at risk. The models are built, the scores are updated, the dashboards are green-to-red. But when it comes to deciding what to actually do about it, the process stalls. Every retention offer is a gamble deployed on real customers with weeks of waiting to learn if it worked. The boldest ideas never ship because the cost of getting it wrong is too high.

68%

Of retention strategies are reactive, deployed after churn signals are already critical

3-6 Weeks

Average time from strategy concept to statistically significant live test results

2-3

Retention strategies most teams can test per quarter due to resource and risk constraints

Our Offering

Every retention decision, tested before deployment

Simulate these scenarios against synthetic versions of your at-risk customers and see predicted outcomes before going live.

Save Offers

Test discount levels, free extensions, feature unlocks, and plan downgrades to find what actually retains each segment without creating dependency.

Pricing Adjustments

Simulate how price increases, promotional pricing, or grandfathered rate expirations affect churn across different customer segments.

Intervention Timing

Find the optimal window to intervene. Too early wastes resources. Too late loses the customer. Simulation finds the inflection point.

Winback Campaigns

Test reactivation strategies on recently churned segments. Simulate which offers, channels, and timing bring customers back profitably.

Plan Restructuring

Simulate how changes to plan tiers, feature bundling, or contract terms affect retention rates across your entire customer base.

Competitive Response

Model how your customers respond to competitor drops pricing or launches a new feature. Pre-build counter-strategies before you need them.

Our Offering

Every retention decision, tested before deployment

Simulate these scenarios against synthetic versions of your at-risk customers and see predicted outcomes before going live.

Save Offers

Test discount levels, free extensions, feature unlocks, and plan downgrades to find what actually retains each segment without creating dependency.

Pricing Adjustments

Simulate how price increases, promotional pricing, or grandfathered rate expirations affect churn across different customer segments.

Intervention Timing

Find the optimal window to intervene. Too early wastes resources. Too late loses the customer. Simulation finds the inflection point.

Winback Campaigns

Test reactivation strategies on recently churned segments. Simulate which offers, channels, and timing bring customers back profitably.

Plan Restructuring

Simulate how changes to plan tiers, feature bundling, or contract terms affect retention rates across your entire customer base.

Competitive Response

Model how your customers respond to competitor drops pricing or launches a new feature. Pre-build counter-strategies before you need them.

Our Offering

Every retention decision, tested before deployment

Simulate these scenarios against synthetic versions of your at-risk customers and see predicted outcomes before going live.

Save Offers

Test discount levels, free extensions, feature unlocks, and plan downgrades to find what actually retains each segment without creating dependency.

Pricing Adjustments

Simulate how price increases, promotional pricing, or grandfathered rate expirations affect churn across different customer segments.

Intervention Timing

Find the optimal window to intervene. Too early wastes resources. Too late loses the customer. Simulation finds the inflection point.

Winback Campaigns

Test reactivation strategies on recently churned segments. Simulate which offers, channels, and timing bring customers back profitably.

Plan Restructuring

Simulate how changes to plan tiers, feature bundling, or contract terms affect retention rates across your entire customer base.

Competitive Response

Model how your customers respond to competitor drops pricing or launches a new feature. Pre-build counter-strategies before you need them.

The Steps

How it works

Streamline your process with a scalable design system, featuring global styles and customizable components.

Step 1

Step 1

Ingest Retention Signals

Connect your existing churn models, health scores, behavioral data, and support interactions. Swivel builds synthetic representations of your at-risk segments from this data.

Step 2

Step 2

Define or Detect the Scenario

Choose a scenario to test (a new save offer, a pricing change, a competitive threat) or let Swivel surface emerging problems by monitoring live customer sentiment.

Step 3

Step 3

Simulate and Validate

Swivel generates and tests strategies against your synthetic customers, then validates every recommendation through quantitative, financial, and brand-safety checks.

Step 4

Step 4

Deploy the Validated Playbook

Receive a ranked retention playbook with predicted impact per segment, confidence intervals, and grounded reasoning. Hand it off directly to your execution tools or team.

Sample Output

What a retention simulation produces

Every simulation delivers a ranked playbook per segment with predicted impact and evidence behind each strategy.

Sample Output

What a retention simulation produces

Every simulation delivers a ranked playbook per segment with predicted impact and evidence behind each strategy.

Sample Output

What a retention simulation produces

Every simulation delivers a ranked playbook per segment with predicted impact 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

2–3 retention strategies tested per quarter


Weeks from concept to statistically significant results


Bold strategies shelved because risk is too high


Discount-heavy offers that create dependency


Reactive interventions after churn signals are critical


WITH Swivel

Hundreds of strategies simulated per segment


Validated playbooks in minutes, not weeks


Test any strategy risk-free against synthetic customers


Discount dependency flagged before deployment


Proactive intervention at the optimal window


The Difference

Retention without vs. with Swivel

Increase experimentation velocity while decreasing the risk to brand and cost of running live tests.

Without Swivel

2–3 retention strategies tested per quarter


Weeks from concept to statistically significant results


Bold strategies shelved because risk is too high


Discount-heavy offers that create dependency


Reactive interventions after churn signals are critical


WITH Swivel

Hundreds of strategies simulated per segment


Validated playbooks in minutes, not weeks


Test any strategy risk-free against synthetic customers


Discount dependency flagged before deployment


Proactive intervention at the optimal window


There's More

Explore other use cases

Acquisition

Simulate which offers and channels convert best.

Activation

Test onboarding flows to find what drives adoption.

Engagement

Model how product changes impact usage and retention.

Expansion

Simulate upsell timing to grow accounts safely.