Lifecycle Performance Dashboard
Operating Record
Working document · yours to extendLive walkthrough included
RetainerCadence ·Monthly retainer
Lifecycle flows calibrated to the cohort. Revenue contribution per flow, not open rate.
Segmentation rebuilt against acquisition cohort and RFM tier. Flow architecture calibrated per segment. Each cycle closes with a Lifecycle Performance Dashboard: revenue contribution per flow, retention curve by cohort, structured for both the CRM lead and the CFO.
Inside the Dynamic Optimization layer of the Dynamic Ad operating system. Run as a wedge, or with the full stack.
Buyer trigger
Slot · The Cohort-Blind Retention OperatorSignal · Active
The Cohort-Blind Retention OperatorAcquisition is doing the work, the post-purchase engine is not. Welcome and abandonment flows run on the defaults a contractor shipped a year ago. Segmentation is one big list. Send-time logic does not exist.
Signals firing the engagement
Klaviyo flows are running on out-of-the-box defaults that nobody has calibrated against the cohort
Repeat-purchase rate cannot be read by acquisition channel or offer, the segmentation is one undifferentiated list
The CFO asked for a contribution-margin read on email and SMS and the team handed back open-rate and CTR
Lifecycle Performance Dashboard. The operating record at every monthly readout.
A continuously refreshed read of every lifecycle flow, segment, and channel against the cohort it serves. Revenue contribution modeled per flow, not reported as last-click. Retention curve by acquisition cohort, structured for the CRM lead and the CFO.
How the operation runs.
Operating access · continuous cadence · operator-approved
Phase 01 · Intake
Scope and access
Lifecycle stack inventoried: Klaviyo (or Attentive, Postscript, custom equivalent) account structure, active flows, and current segmentation model reviewed before any changes are made. Read or write access provisioned across email and SMS platforms. Warehouse and commerce platform access confirmed where a cohort-level segmentation is in scope. If neither is available, scope adjusted and consequences documented before Phase 02.
Phase 02 · Calibration
Segmentation and flow baseline
Segmentation rebuilt from scratch against acquisition cohort, offer type, and RFM tier. Existing flow architecture audited against the customer journey: every live flow assessed for trigger logic, branching depth, and content recency. Output is a documented baseline: which flows are calibrated, which are running on defaults, which are missing entirely. This baseline drives the operation in Phase 03.
Phase 03 · Operation
Continuous flow operation
Flow interventions shipped against documented hypotheses: new flows built, existing flows calibrated, suppression logic reviewed per segment. Send-time and cadence parameters set per segment against engagement and unsubscribe pressure data. Revenue contribution tracked per flow against the pre-intervention baseline. Each cycle, anomalies (unexpected unsubscribe spikes, flow suppression, conversion drops) are flagged and queued for the monthly readout.
Phase 04 · Readout
Monthly close and cohort readout
Monthly cycle closes with the Lifecycle Performance Dashboard updated: revenue contribution per flow read as modeled incremental lift (not last-click), retention curve by acquisition cohort, RFM-tier movement, and anomalies documented. Dashboard is structured for two audiences: the CRM lead (flow-level calibration signals) and the CFO (contribution-margin read by flow and channel). Hypotheses queued for the next cycle posted to the operating record.
Questions buyers ask before scoping Lifecycle Model.
Which lifecycle platforms do you operate?
Klaviyo by default, plus Attentive, Postscript, Iterable, and custom email and SMS stacks where the substrate is in place.
How do you measure lifecycle revenue contribution?
Modeled incremental lift per flow, not last-click attribution on the open. Contribution is reconciled to the cohort and to MMM where the model is in place.
Do you handle SMS as well as email?
Yes. SMS flows operate inside the same hypothesis schema as email, with cadence and send-time calibrated separately.
Do I need a warehouse for the cohort reads?
Strongly recommended. The dashboard runs against platform data without a warehouse, but cohort segmentation by acquisition and offer compounds when the warehouse is in place.
Scope the Lifecycle Model. Lifecycle Performance Dashboard running.
Continuous operationCompounding loopLifecycle Performance Dashboard live
Alongside the retainerDynamic Commerce OS.Stack lifecycle into Commerce OS. Acquisition, retention, and analytics on one cohort model.Other engagements under Dynamic Optimization
Each is sold standalone or stacks with the others into a single foundational build.