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Wax Wax Beauty: +46.8% Sustainable Growth

Volatility Reduction | $8,475 → $12,443 Weekly | 10 Months | Maintained Performance

Baseline

$8.5K

Average weekly

Stabilized

$12.4K

Average weekly

Growth

+46.8%

Sustainable

Timeline

10 Mo

To stabilization

The Challenge

Wax Wax Beauty Bar faced a different problem than typical e-commerce brands: extreme revenue volatility. Weekly revenue swung from $3K to $15K with no predictable pattern.

Key Problems:

  • • Unpredictable weekly performance—massive revenue swings
  • • No control system—reactive management, no systematic approach
  • • High variance—impossible to forecast or plan inventory
  • • Service business complexity—appointment-based revenue with seasonality

The goal wasn't just growth—it was stabilization. Build a systematic control infrastructure that would smooth volatility and enable predictable, sustainable performance.

The Approach

10-Month Stabilization Program:

  • Volatility reduction focus: Smooth revenue swings, build predictability
  • Control infrastructure: Systematic monitoring and response protocols
  • Sustainable growth: Increase baseline without increasing variance
  • Post-engagement maintenance: Performance sustained after we left

Infrastructure Deployed:

  • • Weekly performance monitoring dashboard—variance tracking
  • • Appointment booking optimization—reduce cancellations, improve show rates
  • • Retention campaigns—increase repeat visit frequency
  • • Seasonal adjustment protocols—predictive scheduling
  • • Service mix analysis—optimize high-margin offerings
  • • Staff scheduling optimization—align capacity to demand

Every system was designed for long-term sustainability. The client needed to operate this infrastructure independently after engagement completion.

The Results

$8,475 → $12,443 average weekly revenue (+46.8%)

10-month timeline | Volatility reduced by 60% | Performance maintained post-engagement

Quantified Outcomes:

  • Revenue growth: $8,475 → $12,443 average weekly (+46.8%)
  • Volatility reduction: 60% decrease in week-to-week variance
  • Predictability improvement: 4-week forecast accuracy increased to 85%
  • Repeat visit frequency: +32% increase in customer retention
  • Show rate improvement: Appointment no-shows reduced by 18%
  • Timeline: 10 months to full stabilization

Sustained Performance:

6 months post-engagement, weekly average remained at $12.2K. The infrastructure operated independently. The client retained full control and operational knowledge.

Client Investment: Fixed-fee engagement. Deliverables-based milestones. Infrastructure ownership transferred upon completion.

Stabilization Timeline

Months 1-3

Diagnostic & Foundation

$8.5K avg weekly, high variance

Identified volatility drivers, built monitoring infrastructure, established baseline

Months 4-6

Control System Deployment

$10.2K avg weekly, reduced variance

Implemented retention campaigns, optimized appointment flow, deployed scheduling protocols

Months 7-9

Optimization & Refinement

$11.8K avg weekly, low variance

Fine-tuned service mix, optimized staff scheduling, improved forecast accuracy

Month 10

Stabilization Achieved

$12.4K avg weekly, stable

Sustainable performance reached, infrastructure ownership transferred

Key Learnings

1

Volatility kills growth

High variance revenue makes planning impossible. Stabilization enables scale.

2

Service businesses need different infrastructure

Appointment-based revenue requires scheduling optimization, not just ad spend.

3

Retention > Acquisition for service businesses

+32% repeat visit frequency drove more sustainable growth than new customer acquisition.

4

Sustained performance proves infrastructure quality

6 months post-engagement, performance held. The infrastructure worked without us.

Need Sustainable Growth?

We deploy control infrastructure that smooths volatility and enables predictable, scalable revenue.

TNA Associates

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