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Constructor × Fisheries Supply

Constructor x Fisheries Supply, +15% B2B revenue per user from AI-first product discovery

+15% revenue per user

Manual workarounds and buried results to automated best-seller ranking and higher revenue

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Why it works

The story earns its headline number with A/B test framing, which gives the 15% revenue-per-user lift credibility and makes it attributable to the vendor rather than a market tailwind. The before-state is concrete: bilge pumps buried in search results, constant manual synonym updates, and a small team at capacity. The secondary efficiency angle is real but the story correctly leads with the revenue number, so Breakthrough is the right primary tag.

Steal this

The Proof Schedule mechanism is named, numbered, and explained in four steps, giving prospects a low-risk mental model for trialing the product and giving the case study a built-in mechanism section that satisfies the 'how did they get there' question without the customer having to explain it.

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This is editorial commentary and curation. The case study, screenshot, and all metrics are Constructor's published work; we link to the source and lead with our analysis.

  • Vendor Constructor
  • Customer Fisheries Supply
  • Industry Ecommerce / Retail
  • Trigger Legacy search platform could not handle a complex B2B catalog and was stretching a small team to capacity
  • Format Written narrative
  • Structure Challenge-Solution-Results
  • Medium Web page