For growth leads
Cover the lifecycle stages onboarding never leaves you time for
You build onboarding, then the next priority lands. AI colleagues build and operate activation, at-risk, win-back and expansion sequences on behaviour-based triggers — under your approval — so the later stages stop going unbuilt.
Why growth leads adopt it
Built for the growth lead covering acquisition and retention alone
Off fixed schedules
Sequences move from time-based sends to behaviour-based triggers driven by product-usage signals, so a message lands in response to what a user is doing.
The stages you defer, operated
Activation, at-risk, win-back and expansion get built and maintained, not left for a quieter week that never arrives.
Iteration that keeps running
Variant and timing testing runs continuously within approved templates, capturing engagement gains sporadic manual work rarely reaches.
You keep the creative call
Messaging templates and material journey changes deploy only after you review and approve them.
Modules that keep the later stages live
Each module does one part of the operating work a lifecycle specialist would carry.
Behaviour-based journey design
AI colleagues build trigger and sequencing logic on product-usage signals, so journeys respond to real behaviour rather than a fixed interval.
Copy and variants, drafted
AI colleagues write and revise message copy and content variants for each stage across email and in-product. Templates require your brand approval first.
Segmentation on real usage
Contacts are segmented from upstream acquisition and product-usage data; segments feed the triggers while consent state governs eligibility.
Continuous performance iteration
Send timing and variants are tested against engagement continuously — the iteration a stretched team rarely reaches. Material logic changes are surfaced for your sign-off.
From first stage to full cycle
How a first-stage programme becomes full-cycle
Connect your stack
PatternSix attaches to your existing CRM and email tooling as the system of record, drawing on your acquisition and product-usage data. No migration.
Move off fixed schedules
AI colleagues rebuild sequences from time-based sends to behaviour-based triggers, so messages fire on what users actually do in the product.
Build the deferred stages
Activation, at-risk, win-back and expansion journeys are drafted, sequenced and readied — the stages the programme never reached.
Approve before launch
You review messaging templates and journey logic. Nothing material goes live without your sign-off.
Iterate continuously
AI colleagues test timing and variants against engagement, apply non-material optimisations, and surface material changes for approval.
Why the later stages go unbuilt — and what changes
Most lifecycle programmes never get past the first stage. Growth leads we speak to describe a split of roughly 90% onboarding and 10% everything else, because onboarding is what there is time to build before the next priority lands. The at-risk and win-back stages, where revenue quietly leaks, stay unattended, and the messages that do go out fire on fixed time schedules regardless of what a user is doing in the product.
This is a capacity problem before it is anything else. A dedicated lifecycle owner costs roughly USD 83k–120k US base, which a stretched growth function rarely has the budget to add. So the work sits with one person already covering both acquisition and retention, and the continuous parts — variant testing, timing tuning — happen only in the rare spare hour, which is exactly when they get dropped.
What PatternSix operates
PatternSix runs that work as a service. AI colleagues draft and revise copy, build and maintain the trigger and sequencing logic, segment contacts on product-usage data, and iterate on timing and variants against engagement signals. They operate continuously across email and in-product channels — the two channels this service runs. The programme stops being a first-stage sequence and becomes the full cycle: onboarding, activation, at-risk, win-back and expansion.
This does not take creative or journey control away from you. You approve every messaging template and any material change to journey logic before it deploys. AI colleagues may iterate on non-material optimisations — send timing and content variants within your approved templates — but cannot alter approved logic or consent rules without your sign-off.
The controls, and the fit with your stack
On consent, suppression and consent state are enforced as a deterministic constraint checked before every send, and no model judgement can override that check. Every send is recorded with a full account of what was sent to whom and why, so you hold an auditable basis for review across the whole programme.
On integration, PatternSix attaches to your existing CRM and email tooling as the system of record and draws on upstream acquisition and product-usage data as inputs. It does not ask you to migrate, and it does not undertake paid acquisition — this is owned-channel, consent-governed messaging. The effect on your week is narrow and specific: the stages you keep deferring get operated, and the iteration you never reach runs on.
Before you hand it over
Questions before you hand over the programme
Do I lose control of creative and journey logic?
No. Approval sits with you at defined control points, and AI colleagues iterate only on non-material optimisations — send timing and content variants within your approved templates. They cannot deploy new templates or alter approved logic and consent rules without your sign-off.
How is this different from the programme I already run?
You likely own onboarding already. PatternSix operates the stages that stay unbuilt — activation, at-risk, win-back and expansion — and runs the continuous variant and timing iteration a stretched team rarely reaches. It extends your programme rather than duplicating it.
How much integration work does this take?
PatternSix attaches to your existing CRM and email tooling as the system of record and draws on upstream acquisition and product-usage data as inputs. It runs on email and in-product channels and does not require you to migrate systems.
Can you move our sequences off fixed time schedules?
Yes. AI colleagues rebuild time-based sequences into behaviour-based triggers driven by product-usage signals, so a message lands in response to what a user is doing rather than an arbitrary interval.
How is opt-out enforced?
Suppression and consent state are enforced as a deterministic constraint checked before every send; no model judgement can override it. Every send is recorded with what was sent to whom and why, so the enforcement is auditable.
Cover the whole cycle without another hire
Tell us which lifecycle stages stay unbuilt while onboarding runs, and we will scope operating the rest.