E-commerce
Revenue machines for online retail.
E-commerce is a war of margins. Every percentage point matters. We build systems that increase average order value, reduce cart abandonment, and turn one-time buyers into loyal customers. From DTC brands to marketplaces, we've driven over $50M in attributable revenue.
Key Results
Compliance
The e-commerce landscape has fundamentally shifted. iOS privacy changes decimated Facebook attribution. Amazon takes a bigger cut every year. Customer acquisition costs have tripled in three years. The brands winning now aren't just running ads—they're building defensible customer relationships and owned channels.
We approach e-commerce as a systems problem. Traffic without conversion is waste. Conversion without retention is unsustainable. Retention without margin is a hobby, not a business. Our work touches every part of this equation: from technical SEO capturing bottom-funnel search intent, to AI-powered merchandising that increases AOV, to email/SMS flows that drive repeat purchases.
The e-commerce brands we work with typically see 40-80% revenue growth within 12 months—not through gimmicks, but through systematic optimization of every lever that matters.
Challenges
Post-iOS Privacy Attribution Crisis
Facebook and Google can't track conversions accurately. ROAS reporting is unreliable.
Cart Abandonment Epidemic
Average cart abandonment is 70%+. Millions in potential revenue left on the table.
One-Time Buyer Problem
Most customers never return. CAC doesn't pay back without repeat purchases.
Amazon Competition
Consumers default to Amazon for price and convenience. DTC brands struggle to compete.
Site Speed & Mobile Experience
Slow sites kill conversion. Every second of delay costs revenue.
Solutions
SEO & Content
Approach
Product page optimization, category page restructuring, and programmatic pages for long-tail product searches. Schema markup for rich snippets.
Outcome
145% increase in organic revenue. Product pages appearing in Google Shopping carousel.
Website Development
Approach
Headless commerce implementation on Shopify Hydrogen or Next.js. Sub-second load times, seamless checkout.
Outcome
Core Web Vitals in green, mobile conversion up 35%, bounce rate halved.
AI Automation
Approach
AI chatbot handling order status, returns, and product questions. Human escalation for complex issues.
Outcome
82% of queries resolved by AI. Support costs reduced 60% during Black Friday.
Paid Media
Approach
Server-side tracking (CAPI) for accurate attribution. UGC creative strategy. Advantage+ shopping campaigns with proper catalog optimization.
Outcome
ROAS improved from 2x to 4.5x. Profitable scaling to $10k/day spend.
Success Stories
Challenge
ROAS dropped from 4x to 1.5x after iOS14. Couldn't profitably scale.
Result
Implemented CAPI tracking, rebuilt creative strategy around UGC, and optimized catalog. ROAS back to 3.8x at 2x previous spend.
Challenge
Site was slow, cart abandonment was 78%, mobile was a disaster.
Result
Rebuilt on headless Shopify. Load time under 1s. Cart abandonment dropped to 55%. Revenue up 67%.
Services
FAQ
What e-commerce platforms do you work with?
We're experts in Shopify (including Plus and Hydrogen), WooCommerce, and headless setups with commerce APIs. We also work with BigCommerce and Magento. Our recommendation depends on your scale, complexity, and team capabilities.
How do you handle attribution in a post-iOS world?
We implement server-side tracking (Facebook CAPI, Google Enhanced Conversions) to recover lost signal. We also use tools like Triple Whale or Northbeam for better attribution modeling. The goal is making data-driven decisions even without perfect tracking.
Do you do email/SMS marketing?
Yes, it's essential for e-commerce. We build Klaviyo flows for abandoned cart, post-purchase, win-back, and browse abandonment. SMS for time-sensitive promotions. Owned channels often drive 30-40% of revenue when done right.
What's your minimum ad spend to work with?
We typically require $20k+/month in ad spend to have enough data for meaningful optimization. Below that, the testing velocity is too slow to iterate effectively. But we can start with audit and strategy work before scaling.