Simulate Engagement Strategies

Simulate Engagement Strategies

Stop losing customers to strategies you never tested.

Stop losing customers to strategies you never tested.

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40,000+ strategies simulated

Content Strategy
Feature Rollout
Habit Formation
Communication Timing
Value Reinforcement
Usage Monitor

The Problem

Where Optimization Stalls and Neglect Begins

Where Optimization Stalls and Neglect Begins

Customers signed up and activated. Now comes the hard part: keeping them engaged deeply enough to build lasting habits. Most teams ship product changes, adjust notifications, and redesign communication flows with no way to predict how usage patterns will shift. By the time engagement metrics move, the change has been live for weeks and the cause is unclear. The customers who quietly disengage today become the churn cases next quarter.

Customers signed up and activated. Now comes the hard part: keeping them engaged deeply enough to build lasting habits. Most teams ship product changes, adjust notifications, and redesign communication flows with no way to predict how usage patterns will shift. By the time engagement metrics move, the change has been live for weeks and the cause is unclear. The customers who quietly disengage today become the churn cases next quarter.

70%

Of ractive users never progress beyond surface-level feature usage

Weeks

Before engagement changes from a product update are measurable in the data

Invisible

The slow disengagement that precedes churn is nearly impossible to detect until it's too late

Our Offering

Every engagement decision, tested before it affects usage patterns

Simulate these scenarios against synthetic versions of your active customers and see predicted engagement outcomes.

Feature Rollout

Feature Rollout

Test how new features, redesigned workflows, or removed functionality affect usage depth and session behavior before shipping to production.

Test how new features, redesigned workflows, or removed functionality affect usage depth and session behavior before shipping to production.

Habit Formation

Habit Formation

Model which product behaviors lead to sustained usage over 30, 60, and 90-day horizons. Identify the actions that turn occasional users into daily ones.

Model which product behaviors lead to sustained usage over 30, 60, and 90-day horizons. Identify the actions that turn occasional users into daily ones.

Content Strategy

Content Strategy

Simulate how changes to content libraries, catalog depth, or editorial direction affect consumption patterns and session frequency.

Simulate how changes to content libraries, catalog depth, or editorial direction affect consumption patterns and session frequency.

Notification Strategy

Notification Strategy

Simulate notification frequency, channel mix, and content type to find the cadence that drives re-engagement without triggering opt-outs or fatigue.

Simulate notification frequency, channel mix, and content type to find the cadence that drives re-engagement without triggering opt-outs or fatigue.

Communication Timing

Communication Timing

Test when to reach out, through which channel, and with what message to re-engage users who are showing early signs of declining activity.

Test when to reach out, through which channel, and with what message to re-engage users who are showing early signs of declining activity.

Value Reinforcement

Value Reinforcement

Simulate how usage summaries, milestone celebrations, and ROI reports affect perceived value and continued engagement across different segments.

Simulate how usage summaries, milestone celebrations, and ROI reports affect perceived value and continued engagement across different segments.

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The Steps

How it works

Four steps between identifying engagement gaps and deploying changes you trust.

Step 1

Step 1

Ingest engagement signals

Connect your existing usage telemetry, session data, feature adoption events, and communication engagement metrics. Swivel builds synthetic representations of your active user segments from this data.

Step 2

Step 2

Define the scenario

Choose a scenario to test: a new feature launch, a notification cadence change, a content strategy shift, a re-engagement campaign for declining users.

Step 3

Step 3

Simulate and validate

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

Step 4

Step 4

Deploy with confidence

Receive a ranked engagement playbook with predicted usage impact per segment, 30/60/90-day projections, and grounded reasoning. Hand it off directly to your product or marketing team.

Sample Output

What an engagement simulation produces

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

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The Difference

Retention without vs. with Swivel

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

Without Swivel

✕ Product changes shipped with no predicted engagement impact


✕ Weeks before knowing if a feature or content change moved the needle


✕ Notification strategy based on best practices, not your actual users


✕ Declining engagement invisible until it becomes a retention problem


✕ No way to predict which changes deepen usage and which cause fatigue


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WITH Swivel

✓ Hundreds of engagement strategies simulated per segment


✓ Predicted usage impact before any change ships to production


✓ Notification cadence optimized per segment, not globally


✓ Early disengagement patterns surfaced in simulation


✓ 30/60/90-day engagement projections for every strategy


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There's More

Explore other use cases

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Acquisition

Simulate which offers and channels convert best.

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Activation

Test onboarding flows to find what drives adoption.

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Retention

Test save offers and pricing changes by segment.

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Expansion

Simulate upsell timing to grow accounts safely.

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