Drew DeRose Designs
From rep-dependent wholesale brand to a conversion-engineered, AI-enabled growth system on Faire Marketplace.
Critical Success Factor: Traffic remained effectively flat (+1.38%) while revenue more than doubled (+136.5%), confirming growth was driven entirely by conversion efficiency and algorithmic relevance — not visibility increases.
Client Type / Industry
Wholesale home décor brand on Faire Marketplace
The Challenge
- 80% of revenue from 3 accounts — collapsed when key accounts left
- Zero social media presence (no Instagram, TikTok, Pinterest)
- Underperforming marketplace listings: generic descriptions, low algorithmic relevance
- No inbound pipeline, no automation, no content library
- No structured system for reorders, retention, or forecasting
- Traffic-dependent performance with passive marketplace presence
The Transformation
BEFORE
- ✕ Traffic-dependent performance
- ✕ Generic product descriptions
- ✕ Low algorithmic relevance
- ✕ Passive marketplace presence
- ✕ Rep-dependent, no digital moat
AFTER
- ✓ Conversion-engineered system
- ✓ Algorithm-optimized content
- ✓ High relevance scoring
- ✓ Active ranking optimization
- ✓ Predictable inbound revenue
Our Solution
S3 Digital designed and executed a 4-phase, 18-week wholesale digital transformation — from strategy and competitive intelligence through portal build, marketplace activation, and CRM automation.
Phase 1 — Strategy
Platform audit, competitive intelligence, buyer journey mapping, CRM workflow design
Phase 2 — Portal Build
Faire rebuild with SEO, CAMEO modernization, website enhancement, digital catalog, CRM setup
Phase 3 — Activation
Social media launch, Handshake activation, AI email workflows, content library
Phase 4 — Automation
CRM segmentation, revenue forecasting dashboard, loyalty program, performance reporting
System Architecture
Faire Marketplace
Optimized storefront & listings
Brand Website
drew-derose-designs.com
Wholesale Portal
wholesales.drew-derose-designs.com
AI Email Workflows
Automated outreach & follow-up
CRM Automation
Segmentation & lifecycle triggers
Revenue Forecasting
Predictive analytics dashboard
Faire Algorithm Engine
Ranking signal optimization
Product Catalog
SEO-optimized descriptions & bundles
Retailer CRM
Account segmentation & scoring
Email System
Reorder campaigns & nurture flows
Analytics Pipeline
KPIs, conversion, AOV tracking
Technologies
Integrations
Five Pillars of Conversion Engineering
Catalog Optimization
100% product description rebuild with Faire-specific SEO, standardized structure, algorithm-aligned keywords
Product Positioning
Strategic repositioning to match Faire's recommendation logic and targeted retailer profiles
Bundling Logic
Curated bundles (Farmhouse, Warm Home, Piggy Collection) to increase AOV and SKU diversity
Faire Ranking Signals
Optimized for conversion rate, shipping reliability, repeat purchases, and retailer experience
Wholesale Buyer Design
Addressed B2B decision cycles, emphasized social proof (5.0 rating), streamlined self-serve buying
System Architecture
Results & Impact
- +136.5% revenue YoY (Jan 2025: $3,152 → Jan 2026: $7,452)
- +118% conversion rate improvement (1.6% → 3.5%)
- +107% order volume increase (14 → 29 orders)
- $257 average order value (+14% vs baseline)
- Traffic increased only 1.38% — all growth from conversion engineering
- 2026 base-case projection: $82K annual revenue (vs $36K in 2025 = +127%)
- Reduced sales rep dependency with digital-first ordering
- Predictable revenue with forecasting and automated reorder system
ROI Summary
"This wasn't a marketing project. It completely changed how our wholesale business operates. We now have clarity, predictability, and systems that work without constant manual effort."— Founder, Drew DeRose Designs
Strategic Insight
Product content should be treated as infrastructure, not marketing copy. The transformation from traffic dependency to conversion engineering represents a scalable, defensible competitive advantage in B2B wholesale marketplaces. Wholesale brands scale fastest when discovery, conversion, and retention are unified into one system.
Technologies Used
Project Duration
18 weeks (4-phase implementation: Strategy → Portal Build → Activation → Automation)
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