Lifecycle motions that run on data you can trust
Run one coherent lifecycle across onboarding, adoption, expansion, and renewal on usage events that do not silently break when you ship.
Skene keeps the usage events that define your lifecycle stages complete and unbroken on every PR, then exposes them over MCP. You and your coding agent detect the transitions and run the interventions on data you can trust.
Fragmented lifecycle logic makes journeys feel random
When every stage runs on a different tool and rule set, customers experience disjointed nudges instead of a clear progression from first value to renewal.
Onboarding, adoption, expansion, and renewal are each owned by different tools and teams.
Rules for lifecycle campaigns live in email tools, CRMs, and custom scripts with no single source of truth.
Changes to the product rarely make it into lifecycle logic, so messages and journeys fall out of sync.
You cannot fix retention if you cannot see the journey
Without a lifecycle system, teams optimize local metrics like open rates or feature usage without knowing how it adds up to renewal or churn.
- •Users receive messages that do not match what they see in the product.
- •Expansion and renewal campaigns trigger at the wrong time, or not at all.
- •No one can answer where a given account is in the journey without manual digging.
Lifecycle decisions cannot be a side-effect of campaign tools
Marketing automation tools were built for pre-sale campaigns, not the post-sale events that define lifecycle stages.
Lifecycle "rules engines" run on hand-maintained conditions that quietly decay as the product evolves.
Data pipelines introduce delay and inconsistency between what the product sees and what your lifecycle logic acts on.
Analytics dashboards show stage transitions, but the events behind them break the moment an agent refactors a feature.
Code-aware lifecycle data that stays in sync as you ship
Skene adds the usage events that mark your lifecycle stages and indexes them against your Supabase schema.
On every PR, Skene catches a write that breaks before the data is gone, so your stage definitions stay honest.
A complete, trustworthy record of who moves between stages, queryable over MCP from your coding agent.
Your agent infers transitions and runs the interventions on data it can trust, and stays in sync as you ship.
Trustworthy data from Skene, the lifecycle motion from you
Skene owns the data layer: complete, schema-validated events behind every stage. You and your agent own the lifecycle motion: the stages, the triggers, and the calls only humans should make.
Skene keeps it trustworthy
- •The usage events you're missing behind each stage, indexed against your Supabase schema.
- •A PR check that catches a broken or renamed lifecycle event before the data is gone.
- •A complete, trustworthy record of who activates, adopts, expands, and renews, queryable over MCP.
- •Stage-transition and dwell-time data you can trust, without a bespoke analytics project.
You and your agent own
- •Defining the lifecycle stages and what each transition means for your business.
- •Triggering campaigns, in-product prompts, and CS touchpoints off Skene's data.
- •Channel delivery and the high-touch calls only humans should run.
Signals in
- →Product usage events across key workflows and features.
- →Code-level understanding of capabilities, dependencies, and prerequisites.
- →Account lifecycle context such as plan, tenure, and contract dates.
- →Outcome data: upgrades, downgrades, renewals, and churn.
Outputs
- ←A schema-validated event stream your agent turns into stage assignments per account and user.
- ←Stage-transition and dwell-time metrics you can trust, queryable over MCP.
- ←Trustworthy stage-transition signals your tools and agent consume to time interventions.
- ←A PR comment the moment a write that feeds those metrics breaks.
A good fit for
- ✓Teams that already see value from PLG but struggle to keep lifecycle campaigns coherent.
- ✓Product, growth, and CS leaders who want one source of truth for where customers are in the journey.
- ✓Companies that ship frequently and need lifecycle logic that can keep pace.
Not a good fit for
- ×Organizations without basic product usage tracking.
- ×Businesses whose lifecycle is dominated by long bespoke projects with little repeatable usage.
- ×Use cases where a single email campaign tool is sufficient and journeys are simple.
