ecommerce_ops · healthcare · workflow
Apotek 1 improves search conversion rates by 55.64% with Algolia
Apotek 1's self-maintained search solution required significant maintenance and customization, consuming team resources that could otherwise be directed toward improvements.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Customer initiates search
Customers search across approximately 30,000 products and nearly 1,000 content pieces on the B2C website.
Tools used
AlgoliaAlgolia PersonalizationAlgolia Recommend
Outcome
In Q1 2023, Apotek 1 achieved a 55.64% increase in search conversion rate, a 95.29% increase in browse conversion rate, and a 53.96% reduction in searches over 300ms, while significantly reducing maintenance and configuration time.
What failed first
The previous customized open source search solution demanded ongoing manual maintenance and custom configuration, including manual per-search ranking updates, leaving little time for improvements.
Results
Time saved~ 2-3 months
Volume55.64%
Running sincefall of 2022
Grounding & classification
Source type: vendor customer story
25 fields verified against source quotes.
enterprise searchpersonalizationrecommendation systemproduct catalogfailure mode describedhuman review describedmetric backednamed customerproduction runtime claimedtools describedworkflow describedhealthcareretailconversion increaseemployee productivityresponse time reductionvendor customer storyecommerce ops