
Commerce Intelligence case study
Doubles Amazon Ad Sales While Improving Profitability with Eva’s Commerce Intelligence System
The Cricket Company is a family-owned brand with over 40 years of experience in professional hair styling tools. Known for high-quality brushes, combs, and shears, the brand has strong product-market fit and established demand. However, like many mature brands, growth on Amazon had become inefficient and difficult to scale.
BeautyThe opportunity
Turn channel activity into one connected growth system
The Cricket Company is a family-owned brand with over 40 years of experience in professional hair styling tools. Known for high-quality brushes, combs, and shears, the brand has strong product-market fit and established demand. However, like many mature brands, growth on Amazon had become inefficient and difficult to scale.
The Cricket Company is a family-owned brand with over 40 years of experience in professional hair styling tools. Known for high-quality brushes, combs, and shears, the brand has strong product-market fit and established demand. However, like many mature brands, growth on Amazon had become inefficient and difficult to scale.
The situation
The operating challenge behind the growth opportunity
- Core issue: Despite consistent investment in Amazon advertising, performance had plateaued.
Campaigns were active, but there was no unified system connecting data, decisions, and execution.
- Listings were not fully optimized to support ranking and conversion
- Organic and paid strategies were not aligned
- Reporting was fragmented, limiting real-time decision making
- Revenue leakage from reimbursements was not addressed
Growth required more spend, not better performance
Eva implemented a Commerce Intelligence System designed to connect every layer of growth into one continuous loop
Cricket Beauty Tools on TikTok
The brand voice in motion
Three videos from the official brand account show how product storytelling and social discovery create demand before shoppers reach a marketplace or brand storefront.
The Eva approach
One plan, clear priorities, and shared performance signals
Advertising Intelligence
Eva deployed AI-driven systems to take control of spend and performance:
- Real-time bid optimization based on performance signals
- Dynamic budget allocation across campaigns and products
- Dayparting to capture demand at the most efficient times
Shift: replaced static campaign management with continuous optimization
Expert Operator Layer
AI handled execution at scale Operators drove strategy and direction
- Campaign restructuring based on product-level performance
- Expansion of high-performing segments
- Strategic support for new product launches
Shift: ensured that automation was guided by experience, not left unmanaged
Unified Product Intelligence
For the first time, the team had a single view of performance:
- Revenue, ad spend, and profitability connected at the product level
- Clear visibility into what drives growth versus what consumes budget
- Faster, data-driven decisions instead of delayed reporting
Shift: Uncertainty was replaced with control
Conversion and Ranking Optimization
Paid traffic alone was not enough
Eva aligned advertising with conversion:
- Listing optimization to improve click-through and conversion rates
- Keyword strategy to strengthen organic ranking
- Coordination between paid and organic performance
Shift: This increased the efficiency of every dollar spent
Revenue Recovery Integration
Beyond growth, Eva improved profitability:
- Identification of lost or unrecovered funds within Amazon
- Structured recovery processes
- Incremental profit without additional spend
90-day execution roadmap
From fragmented execution to one operating cadence
The first 90 days establish the baseline, activate the connected system, and scale the combinations that improve advertising profitability.
Build the foundation
Create one commercial baseline across Amazon.
- Map product and channel economics
- Audit conversion, demand, and inventory
- Align the operating scorecard
Activate the system
Implement the highest-value initiatives documented in the Eva approach.
- Connect channel signals and decisions
- Improve conversion and demand capture
- Coordinate content, media, and operations
Scale what compounds
Move investment toward the products, audiences, and channels producing the strongest business result.
- Reallocate toward winning combinations
- Protect margin and availability
- Build the next optimization cycle
Results and measurement
The scorecard that connects growth to business impact
Verified outcomes and operating signals already documented in the original case study, organized into one consistent scorecard.
The outcome
What the connected system changed
These results were achieved without increasing the advertising budget
Before and after
Before Eva
- Campaigns managed in isolation
- Decisions based on incomplete data
- Growth driven by increasing spend
- Limited connection between advertising and profitability
After Eva
- One system connecting data, advertising, and execution
- Continuous optimization through AI and expert operators
- Clear visibility into performance and profitability
- Scalable growth without inefficient spend
Eva brought structure and intelligence to our Amazon advertising. By combining AI-driven optimization with expert execution, we were able to double our ad sales within six months while maintaining strong return on spend.
Tina Fichera
VP of eCommerce, The Cricket Company
Strategic insight
Growth compounds when every channel has a clear job
Commerce-driven brands benefit from:
When Amazon (conversion), Shopify (customer value), and advertising (acquisition) operate as one system:
- Conversion improves
- CAC becomes controllable
- Growth compounds
Build one connected commerce growth system
Talk with a senior Eva operator about marketplace growth, paid demand, conversion, operations, and the measurement system that connects them.