Capture the data.
Turn it into business.
Two phases. Capture builds the data layer that a technical growth team needs. Activate turns it into revenue, and keeps tuning. Most brands do both, in that order.
Every touchpoint is a data mechanism.
Every message earns its place.
Capture more relevant data.
Everything that helps pull the customer data that matters into your stack. Every engagement starts with the audit.
Data audit & capture strategy
The entry point to the system. Before anything runs, we need to know what you know, and what you're missing.
What do we know about our customers, what is missing, and what is blocking us from acting on it?
- Event schemas
- Identity graph quality
- Warehouse vs. tool data gaps
- Attribution and consent coverage
- Prioritized capture roadmap
- Identity model
- First 2–3 capture layers live
- Handoff documentation
Coverage of the events and properties needed for lifecycle and loyalty segmentation.
Stack buildout & migrations
CRM replatforming, integrations and custom models when the tools don't cover it.
Does our current stack scale to the lifecycle and loyalty we want to run, or do we need to rebuild the foundation?
- Volume limits and deliverability
- Integration gaps between ESP and warehouse
- Missing scoring models
- Data migration risk
- Migration and cutover plan
- Custom integrations and scoring
- Real-time event pipeline
- Documentation and rollback plan
Zero-downtime cutover and measurable parity of reach, conversion, and data freshness.
Loyalty & membership build
A modular loyalty system, built around your brand and operated by us. Not a points plugin.
Should loyalty be a capture and retention lever for us now, and if so, what mechanics fit our brand economics?
- Repeat purchase rate and cohort curves
- Margin and discount pressure
- Engagement outside purchase
- POS and ecomm data coverage
- Program economics and mechanic design
- Themed modular software
- Member and staff surfaces
- Launch and integration plan
Incremental repeat rate and program-level cohort margin vs. non-members.
Turn it into business.
Everything that converts captured data into revenue, improved continuously.
Lifecycle architecture
The strategic layer that runs continuously. We map, instrument and operate the full customer cycle, from first purchase to churn, and keep adjusting it as new data lands.
Where are the moments in the customer cycle that actually move repeat purchase and LTV?
- Cohort revenue curves
- Flow-level conversion and revenue
- Engagement and churn windows
- Segment migration over time
- Living lifecycle map
- Instrumented flows and guardrails
- Segmentation model
- Monthly reporting on revenue and LTV lift
Revenue and LTV lift per lifecycle moment, with cohort trajectory and attribution by flow.
Growth operations
The execution layer that runs alongside Lifecycle Architecture. A weekly hypothesis engine on top of the cycle: timing, offers, segments, sequences, tested and compounded.
Which messages, offers, segments and timing actually improve revenue per customer this month?
- Weekly test results
- Flow and campaign revenue
- Segment and offer response
- Deliverability and frequency
- Weekly hypothesis queue
- Launched and read tests
- Rolled-out winners
- Monthly review and roadmap
Revenue and LTV lift per experiment, with cohort behavior by segment.
Loyalty & membership ops
The program, run monthly. Points, tiers, rewards, enrollment, reporting.
Is the loyalty program improving cohort-level repeat rate and margin, or is it just running?
- Tier movement and redemption rates
- Member vs. non-member cohorts
- Enrollment and reactivation velocity
- Program P&L by cohort
- Monthly mechanics and promotions
- Enrollment and reactivation journeys
- Rewards catalog updates
- Quarterly strategy review
Cohort-level program P&L: incremental revenue, redemption economics and tier progression.
Looking for something specific?
The same system, entered from wherever the problem shows up first.
Start with a data audit. Then lifecycle operation.
We'll tell you which makes sense for you, even if it's neither.
Request a call