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Algolia × BIG W

Algolia x BIG W, better search relevance drives conversion and basket size

Improved conversion from search +7%

Broken search to relevant results

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Why it works

The 'blue socks' anecdote is concrete and repeatable, making an abstract search quality problem immediately vivid. The story leads with numbers going up (conversion, basket size, NPS) rather than cost savings, which correctly places it in Breakthrough territory, though the reduced search exits metric adds an Efficiency dimension. The competitive switch from Solr is named explicitly, which strengthens credibility.

Steal this

Use a single, absurd-but-relatable product search failure story (blue socks returning blue things and socks separately, never together) to make search relevance feel real before introducing any metrics.

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

  • Vendor Algolia
  • Customer BIG W
  • Industry Ecommerce / Retail
  • Trigger Headless re-platform exposed failures in existing search engine
  • Format Written narrative
  • Structure Challenge-Solution-Results
  • Medium Web page