Industry Focus
E-commerce today is a margin compression game. The brands that win optimize every step of the funnel, not just traffic volume. We build systems that make each visitor worth more.
E-commerce revenue leaks through predictable failure points:
Cart abandonment bleeds revenue at scale. 70% of carts are abandoned industry-wide, and on mobile that number hits 85%. Baymard Institute research identifies unexpected costs, forced account creation, and checkout friction as the primary causes. A store doing $2M in annual revenue is leaving $4.6M in abandoned carts on the table, recoverable through systematic checkout optimization and recovery sequences.
Ad costs compress margins faster than conversion gains can offset. Meta CPMs have risen 30-50% post-iOS 14.5, Google Shopping CPCs climb quarterly, and audience targeting degrades as privacy restrictions expand. Brands trapped on the paid acquisition treadmill watch ROAS decline while cutting spend means revenue drops immediately.
First-time buyers default to Amazon for repeat purchases unless you give them a reason not to. Repeat purchase rates below 25% are common for DTC stores without post-purchase automation. Acquiring a new customer costs 5-7x more than retaining one, but most brands spend 90% of their budget on acquisition and almost nothing on retention.
Amazon captures 40%+ of US e-commerce and sets buyer expectations for shipping speed, return ease, and pricing. Your DTC store competes against that conditioning on every visit. Without a compelling brand experience, exclusive product positioning, or community value that justifies buying direct, the marketplace listing wins by default.
Conversion architecture recovers lost revenue. A/B tested checkout flows, trust signal placement, and cart recovery sequences capture sales that would otherwise disappear. Small percentage gains compound dramatically at scale.
Lifecycle automation builds LTV. Email and SMS campaigns drive repeat purchases through post-purchase flows, win-back sequences, and browse abandonment triggers. The second sale costs a fraction of the first.
Organic search reduces acquisition dependency. SEO content strategy builds traffic you own, reducing the margin hit from paid channels.
Each capability applies specifically to e-commerce operations.
We work primarily with Shopify and Shopify Plus, which power 30%+ of US e-commerce and provide the best app ecosystem for DTC brands. We also build on WooCommerce for brands needing WordPress integration, and custom headless builds using Next.js with Shopify or BigCommerce as the backend for stores that need maximum performance and design flexibility. Platform choice depends on your catalog size, customization needs, and growth trajectory. We will recommend the right stack after understanding your requirements, not default to what is easiest for us.
We attack abandonment at three levels. First, checkout optimization: removing forced account creation, adding guest checkout, displaying shipping costs early, and streamlining the payment flow with Shop Pay, Apple Pay, and Google Pay. Second, trust signal placement: security badges, return policy visibility, and social proof positioned at decision points. Third, recovery automation: abandoned cart email sequences through Klaviyo or Omnisend, SMS follow-ups, and exit-intent offers calibrated to margin tolerance. We then A/B test each element systematically. Most stores see 15-25% recovery improvement within the first 60 days.
We build the full lifecycle automation infrastructure using Klaviyo, which dominates e-commerce email for good reason. That includes welcome sequences with progressive discounts, abandoned cart recovery with 3-5 touchpoint cadences, post-purchase flows that drive reviews and cross-sells, browse abandonment triggers, win-back campaigns for lapsed customers, and VIP segmentation for high-LTV buyers. SMS gets layered on top for time-sensitive promotions and shipping notifications. The typical e-commerce brand generates 30-40% of total revenue from email and SMS once these systems mature. We build the infrastructure, then optimize based on your customer purchase data and behavior patterns.
If margin protection and customer lifetime value matter to your business, we should evaluate your current e-commerce infrastructure.