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.
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.
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.
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Frequently asked questions
What did this team achieve with this AI workflow?
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 reve…
What tools did this team use?
Algolia, Algolia Dashboard, Insights API.
What results were reported?
Monthly searches: 33M+; Click conversions in first year: 1M+; Incremental orders: thousands of incremental orders; Incremental revenue: several millions in incremental revenue (source-reported, not independently verified).
What failed first in this deployment?
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.
How is this ecommerce ops AI workflow structured?
User searches for fitness content → Query suggestion and typo tolerance → Facets and filters refine navigation → Non-developer search configuration → Click and conversion event tracking → Incremental orders and revenue output.