Spruce Services | Direct-to-Consumer Growth | Lifecycle Marketing | Conversion Optimization
Context & Mandate
Spruce’s lifecycle program had a critical gap: there was no scalable, proactive system to re-engage churn-risk and dormant customers. At the same time, excess appointment capacity created pressure to drive incremental bookings without relying on price-based incentives that could erode brand perception.
The mandate was to test whether a seasonal, insight-driven lifecycle intervention could reactivate demand, validate a new growth lever, and be operationalized as part of the broader lifecycle framework.
Constraints
No dedicated budget for net-new acquisition channels
A brand position that could not rely on discounting
Dormant and churn-risk audiences with declining engagement signals
The need to validate impact quickly before broader rollout
Tight coordination required across marketing, lifecycle, and sales enablement
This was a growth experimentation problem under brand and resource constraints.
My Role & Scope
I owned the strategy and execution of the reactivation pilot end-to-end.
This included:
Defining the growth hypothesis and success criteria
Developing the creative and messaging strategy
Designing lifecycle segmentation and sequencing
Coordinating sales enablement for localized follow-up
Measuring downstream impact to inform future lifecycle decisions
The work was intentionally framed as a pilot, with the expectation that learnings would either scale or be discarded.
The Experiment Designed
I designed a seasonal reactivation campaign positioned as a behavioral reset, not a transactional push.
Key elements included:
- Insight-Led Creative Positioning The campaign reframed cleaning not as maintenance, but as a liberating act of transformation—tapping into emotional drivers rather than urgency or price.
- Modular Lifecycle Playbook I built a reusable email framework with distinct messaging tracks for different buyer mindsets (overwhelmed, aesthetic-driven, practical), enabling personalization without operational complexity.
- Audience Segmentation & Guardrails Targeting was based on engagement behavior and ZIP code availability to optimize conversion while preventing poor customer experience in constrained markets.
- Sales Enablement Integration Reactivation assets were extended to sales for localized follow-up and outbound rebooking, ensuring lifecycle and sales motions reinforced each other.
- Measurement Beyond Clicks I tracked engagement, booking conversions, and downstream customer behavior to assess not just immediate lift, but lifecycle impact.
Impact
The pilot delivered clear performance signals and validated a new lifecycle growth lever:
3.1× increase in bookings from churn-risk segments vs. BAU lifecycle email
2× higher CTR on animated hero emails compared to static creative
18% of rebookings attributed to reactivated leads via campaign assets
Adoption of the framework as a repeatable seasonal reactivation model across future lifecycle programs
Most importantly, the experiment proved the channel could drive demand without discounting or brand dilution.
Why This Matters
This case demonstrates how lifecycle growth can be expanded through disciplined experimentation rather than incremental optimization.
The value wasn’t the creative.
It was validating a new, repeatable growth motion under real-world constraints.
Positioning note
This work reflects full ownership of a lifecycle growth experiment—from hypothesis to execution to scale decision. It demonstrates how I approach growth: test deliberately, measure rigorously, and only scale what earns its place in the system.