ecommerce_ops · ecommerce · workflow
Beachbody creates a more seamless user experience and improves revenue with Algolia search
Beachbody needed to replace unsatisfactory prior search vendors and build a frictionless, intuitive discovery experience for a non-tech-savvy audience, while enabling its team to configure and iterate on search without depending on developer resources.
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 · User searches for fitness content
Customers search for fitness, nutrition, and wellness content on Beachbody On Demand.
Tools used
AlgoliaAlgolia DashboardInsights API
Outcome
Beachbody now handles over 33 million searches monthly, recorded more than one million click conversions in the first year, generated thousands of incremental orders translating to several millions in incremental revenue, and saw NPS ratings rise.
What failed first
Previous search vendors failed to satisfy Beachbody's requirements for both process and results, and customizing search had previously required months of developer work per change.
Results
Time saved33M+
Volume1M+
Cost replacedseveral millions in incremental revenue
Running since2020
Grounding & classification
Source type: vendor customer story
28 fields verified against source quotes.
enterprise searchpersonalizationrecommendation systemproduct catalogmetric backednamed customerproduction runtime claimedtools describedvendor confirmedworkflow describedecommercemediaconversion increasecustomer satisfactionemployee productivityrevenue increasethroughput increasevendor customer storyecommerce opsextract classify route