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Constructor × Petco

Constructor x Petco: AI search drives +13% conversions for a major pet retailer

+13% in total site conversions

Stale, irrelevant results to personalized, converting discovery

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Why it works

The case study earns its headline number with a second supporting metric (+4% sitewide revenue) and ties both to a clear before-state: a legacy Elasticsearch solution that buried new products and lacked personalization. The quote from the VP of Digital Strategy carries real information, specifically the value of merchandising controls and proof via A/B testing, rather than generic praise. The mechanism is explained concretely enough (clickstream ingestion into an ML model, overridable merchandising controls) that a reader understands what changed and why.

Steal this

The explicit mention of A/B testing as the proof standard ('Constructor was willing to prove via A/B tests') gives the results credibility and doubles as a sales argument, showing prospects exactly how they can validate the same claims.

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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 Petco
  • Industry Ecommerce / Retail
  • Trigger Legacy Elasticsearch-based search provider could not support sitewide personalization or merchandising controls
  • Format Written narrative
  • Structure Challenge-Solution-Results
  • Medium Web page