Schematic of an online store: product grid beside a cart and checkout steps

Verdant Outdoor Gear

From paid-ad dependency and flat AOV to an organic-first growth engine with AI-driven recommendations.

Verdant Outdoor GearOne system
  • SEO Audit
  • Crawl Fix
  • Information Architecture
  • Collection Page Rebuild
Shared data · role-based access4 of the modules shown
Schematic of the shipped system, drawn from the case notes

The challenge

Before

Verdant Outdoor Gear had built a healthy Shopify store over six years and was running at roughly $8M ARR — but growth had plateaued. Traffic was flat, average order value had stalled, and the previous agency had left them with paid ads carrying about 70% of revenue. Every dip in ad spend translated immediately into a revenue dip. The founders wanted a real organic growth and retention engine, not another performance marketing retainer.

  • Paid ads driving ~70% of revenue — every spend pullback hit revenue directly
  • Organic traffic plateaued for over 12 months with no clear path forward
  • Collection pages had thin content, no schema, and inconsistent internal linking
  • Product detail pages lacked structured data — losing rich result eligibility
  • No personalization on PLPs or PDPs — every visitor saw the same merchandising
  • Email capture popup had a static offer with no testing program behind it
  • AOV had been flat for 4 quarters despite catalog expansion
  • No cross-sell or related-product logic beyond Shopify default recommendations
BeforeDisconnected tools
  • Paid ads driving ~70% of revenue — every…
  • Organic traffic plateaued for over 12…
  • Collection pages had thin content, no…
  • Product detail pages lacked structured data…
  • No personalization on PLPs or PDPs — every…
  • Email capture popup had a static offer with…
Schematic of the starting point, drawn from the case notes

The solution

What we built

We ran a 6-month Product Growth engagement focused on building an organic and retention engine the brand would own outright. We started with a full technical SEO overhaul — fixing crawl issues, restructuring collection pages into proper category hubs, and rolling out schema markup on every product detail page. In parallel, we built a hybrid AI product recommendation engine that layered collaborative filtering signals over content-based matching, plugged into the existing Shopify storefront. We then set up a continuous A/B testing program against the email capture popup, iterating on offer, framing, and trigger conditions. Finally, we tuned PLP performance — image delivery, layout shift, and time-to-interactive — so the organic gains compounded instead of leaking out at the page level.

How the system flows

  1. SEO AuditCrawl FixInformation ArchitectureCollection Page Rebuild
  2. Product DataSchema MarkupRich Result ValidationSearch Console Monitoring
  3. Recommendation Engine: User SignalsCollaborative FilteringContent-Based MatchHybrid ScorePDP/PLP Slot
  4. Email Capture A/B TestVariant ShipSignificance CheckWinner Promotion
  5. PLP Performance AuditImage PipelineLazy HydrationCore Web Vitals Review
  6. Weekly Growth ReviewOrganic Traffic CohortAOV TrendRevenue Mix Dashboard
Schematic of an online store: product grid beside a cart and checkout steps
Schematic of an online store: product grid beside a cart and checkout steps

Ready to grow without leaning on paid ads?

We design Product Growth engagements that build durable organic and retention channels — the kind of growth that compounds instead of vanishing when the ad budget moves.

No retainer lock-in · Month-to-month · Full transparency