CASE STUDY: 264% ROAS Lift for a Premium Home Services Brand
Industry: On-Demand Residential Services / Prop-Tech
Geography Focus: Austin & Dallas, Texas
Objective: Consolidate fragmented architecture and achieve geographic precision.
Executive Summary
A premium on-demand housekeeping brand faced a significant performance plateau. Despite a multi-year history of consistent Meta spend, the account suffered from extreme campaign fragmentation and “audience dilution,” leading to high acquisition costs and creative fatigue.
Cube was engaged to overhaul the account architecture. By pivoting to Geographic Micro-Market Targeting and Life-Stage Cohort Messaging, we achieved a 7.21x ROAS (a 264% improvement) and slashed the Cost Per Purchase by 62% within five months.
1. The Challenge: “The Broad-Reach Trap.”
Prior to Cube’s intervention, the brand’s Meta strategy relied on wide, city-level targeting that failed to distinguish high-propensity neighborhoods from lower-value areas. This resulted in:
- Campaign Fragmentation: Over 35 active campaigns split the conversion signal too thin, preventing Meta’s algorithm from exiting the “Learning Phase.”
- Creative-Audience Mismatch: Generic creative was served broadly, failing to resonate with the specific needs of different life stages (e.g., busy professionals vs. families).
- Ad Fatigue: An exceptionally high frequency (9.47) indicated that the same users were being over-saturated with the same message, driving up CPCs and diminishing returns.
- Funnel Leakage: A lack of structured retargeting meant high-intent users who visited the booking page but didn’t convert were rarely re-engaged.
2. The Solution: Precision Architecture & Micro-Market Strategy
Cube implemented a “Quality-over-Quantity” framework, concentrating spend on the highest-propensity ZIP codes and life-stage segments.
Key Strategic Pillars:
| Strategy | Tactical Execution | Business Impact |
| Geographic Micro-Targeting | Replaced city-wide targeting with Premium Corridor ZIP-codes. Tailored creative to reference local neighborhood identities. | 76% Increase in CTR; higher traffic quality at the start of the booking funnel. |
| Life-Stage Cohorts | Developed unique messaging for 3 pillars: Young Professionals (Convenience), Families (Non-toxic/Safety), and New Movers (Deep Cleans). | Improved creative resonance and conversion intent across diverse user groups. |
| Architectural Consolidation | Collapsed 35+ fragmented campaigns into a streamlined “Advantage+ Shopping” structure. | Accelerated algorithmic learning, allowing for stable, automated scaling. |
| Dynamic Retargeting | Deployed a full-funnel re-engagement strategy for “Add-to-Cart” and “Booking Abandonment” users with time-sensitive incentives. | 133% increase in monthly purchase velocity. |
| Creative Refresh Cycle | Established a high-velocity rotation of seasonal and cohort-specific assets. | 32% reduction in frequency, effectively solving the brand’s long-standing ad fatigue. |
3. The Results: Unprecedented Efficiency
The transition from broad reach to geographic and demographic precision transformed the account from a cost-center into a highly profitable acquisition engine.
Key Performance Indicators (Pre-Cube vs. Post-Cube):
| Key Metrics | Performance Delta |
| Purchase ROAS | +264% improvement (from 1.98x to 7.21x) |
| Cost Per Purchase | 62% reduction |
| Monthly Purchase Volume | +133% growth |
| Click-Through Rate (CTR) | +76% improvement |
| Ad Fatigue (Frequency) | 32% reduction |
| Traffic Quality | Significant decrease in Cost Per Landing Page View |
Conclusion
Embracing a Micro-Market Precision model, the brand successfully more than tripled its ROAS while also significantly scaling volume. This case study proves that for premium service brands, who you reach is just as important as how many you reach. Cube’s data-driven consolidation turned a fragmented account into a streamlined, high-yield growth engine.
