Category Intent Acquisition
We map exactly how your best customers search for specific product categories, capturing extreme bottom-of-funnel intent via Search and Shopping.
E-COMMERCE
REVENUE CONSISTENCY ROAS DISCIPLINE CATEGORY INTENT CONVERSION STACK SERVER-SIDE TRACKING LTV OPTIMIZATION MARGIN-AWARE BIDDING REVENUE CONSISTENCY ROAS DISCIPLINE CATEGORY INTENT CONVERSION STACK SERVER-SIDE TRACKING LTV OPTIMIZATION MARGIN-AWARE BIDDING
E-Commerce Infrastructure Stack
Shopify Plus
Stripe
Google Ads & Shopping
Server-Side GTM
GA4 & Segment
The Profitability Gap
Why "Store Advertising" drains your margin
Most agencies simply drive "traffic to the store." They optimize for raw sales volume, ignoring product margins, server-side data loss, and the poor conversion rates of dumping high-intent traffic onto a generic homepage.
Traditional "Traffic" Agencies
- Routing high-intent buyers to a leaky homepage
- Bidding blindly without knowing actual net profit margins
- Losing up to 30% of conversion data due to iOS/AdBlockers
The Scale Orbit Approach
- Precision routing to highly-optimized Category & Landing Pages
- Strict ROAS discipline aligned with backend unit economics
- Flawless Server-Side Tracking for perfectly fed algorithms
The Growth Stack
Engineered for Revenue Consistency
The Conversion Stack
Traffic means nothing if the page leaks. We architect specific, high-converting category pages and standalone landing pages designed exclusively to sell.
ROAS Discipline
We sync your ad platform algorithms with actual backend data, optimizing bids based on margin, AOV, and profitability—not just gross top-line numbers.
Data Architecture
Implementing robust Server-Side GTM and Conversion APIs to bypass cookie loss, feeding platforms exactly the data they need to find your next buyers.
Data & Scale
Proven E-Commerce Impact
$40M+
Revenue Scaled
For premium e-commerce brands globally.
400%+
Target ROAS
Consistently maintained while scaling spend.
100%
Data Accuracy
Achieved via custom Server-Side implementations.
−35%
CPA Reduction
Average drop in Acquisition Cost post-launch.
Implementation Protocol
Store Scaling Timeline
1
Days 1-14
Tracking & Feed Architecture
Deploying Server-Side tracking, optimizing Merchant Center feeds, and mapping unit economics to ensure algorithms train on real profit.
2
Days 15-45
Intent Capture & CRO Routing
Launching Category Intent campaigns, restructuring ad accounts, and routing traffic to specifically engineered landing pages to maximize CVR.
3
Days 45-90+
ROAS Scaling & LTV Maximization
Aggressive scaling of winning products, dynamic retargeting implementation, and optimizing the backend to increase repeat purchase rates.
Margin Over Volume
We refuse to optimize for vanity metrics.
We are not a traditional store agency. Our enemy is the dashboard that shows high traffic and "impressions" while your actual bank account bleeds from shipping and CPA costs.
We execute strictly based on metrics that matter: Net Margin, POAS (Profit on Ad Spend), CVR, and Customer LTV. We grow your store predictably.
Strategic FAQ
Directing broad or mid-funnel search intent to a single product often results in high bounce rates if the variant isn't perfect. By engineering high-converting Category Pages, we give buyers guided choices, dramatically increasing average Conversion Rates and lowering CPA.
Due to ad-blockers and iOS privacy updates, conventional tracking misses 20-30% of actual purchases. This starves Google and Meta algorithms of the data they need to optimize. Server-Side tracking feeds 100% accurate purchase data directly back to the platforms, instantly improving algorithmic targeting and stabilizing ROAS.
For premium e-commerce, acquiring a customer on the first sale is often break-even. We set up dynamic retargeting and retention architectures (email/SMS logic) to maximize Lifetime Value (LTV). This allows us to bid more aggressively at the top of the funnel while maintaining strong overall profitability.
To effectively test conversion elements, map category intent, and feed algorithms enough data for machine learning to kick in, we typically require an active media budget of at least $10,000/month.
100% GDPR & CCPA Compliant
First-Party Data Architecture
Strict NDA & Security Protocols