$135K+ Sales in 23 Days, Monthly Performance Stabilization Through Account Controls

Challenges Identified

(Before Optimization)

Catalog & Conversion

• Listing updates were inconsistent, resulting in weak indexing and suboptimal session quality
• Bullet formatting and image sequencing did not support conversion best practices
• Attribute coverage gaps affecting filter visibility and relevance

Traffic Quality & Contribution

• Lack of clear segmentation between discovery and conversion queries
• PPC and organic overlap reducing efficiency
• No structured review process for underperforming ASINs, causing uneven contribution across the catalog

Operational & Pricing Factors

• Pricing lacked continuity and changed without market driven triggers
• No competitor price band monitoring
• Inventory planning was reactive, creating risk of availability dips
• Prime vs non-Prime offer inconsistencies affecting purchase rates

These gaps limited month to month predictability and suppressed YoY performance before optimization.

Actions Implemented (Optimization Framework)

1. Listing Standardization Across All Active ASINs

• Updated titles, bullets, and backend search terms
• Improved image sequencing and ensured compliance with category standards
• Completed missing attribute fields to strengthen ranking relevance
  Outcome: Higher indexing consistency and improved session quality.

2. Traffic Alignment & PPC Adjustments

• Segmented PPC into structured discovery and conversion groups
• Removed low efficiency queries and optimized match-type distribution
• Evaluated keyword contribution toward TACOS rather than isolated ROAS
  Outcome: More stable traffic patterns and a clear link between sessions and orders.

3. Pricing & Buy Box Stability

• Implemented internal pricing guardrails to avoid unpredictable changes
• Benchmarked competitors to maintain competitive positioning
• Ensured continuous Buy Box control for leading ASINs
  Outcome: Steady ASP at $36.4–$36.5 and improved conversion consistency.

4. Inventory & Availability Controls

• Weekly review of sell-through per parent ASIN
• 30/60/90-day demand forecasting
• Introduced buffer thresholds for high-velocity SKUs
  Outcome: No stock-related disruptions, supporting both MoM and YoY growth.

5. Catalog Health & Weekly Performance Oversight

• Identified and corrected anomalies in unit-per-order and session trends
• Ensured all primary ASINs adhered to category standards for visibility
• Established a monitoring process for session dips and conversion deviations
  Outcome: Improved order-session percentages and more stable catalog output.

Observed Improvements (After Optimization)

• 8% MoM increase in total order items, reflecting improved session management
• 7% MoM increase in units ordered, indicating better traffic relevance
• 8.2% MoM revenue improvement, driven by stable ASP and higher conversion reliability
• 111% YoY growth across all core KPIs, demonstrating long term structural improvement
• Stable conversion behavior, with units/order item steady at 1.05
• Reduced performance variance, enhancing forecast accuracy

The YoY growth reflects sustained improvements in catalog structure, traffic alignment, and operational controls.