DonorsChoose increases new teacher conversions 30% YOY with Algolia-powered unified search
DonorsChoose's teacher shopping experience required navigating more than 20 separate vendor sites of varying quality, causing only about 75% of users to complete the shopping stage while more than 90% completed every other step — a conversion gap the organization felt it lacked control to fix.
After launching Algolia-powered unified search, new teacher project completion rose from 37% to 48% in one quarter — a 30% year-over-year increase in conversions — and 9,000 new teachers were added during the back-to-school peak, with customer support tickets for the shopping experience falling as a result.
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Frequently asked questions
What did this team achieve with this AI workflow?
After launching Algolia-powered unified search, new teacher project completion rose from 37% to 48% in one quarter — a 30% year-over-year increase in conversions — and 9,000 new teachers were added during the back-to-…
What tools did this team use?
Algolia, Algolia InstantSearch.
What results were reported?
new teacher conversion rate YOY: 30%; New teacher project completion (after): 48%; New teacher project completion (before): 37%; New teachers added (back-to-school peak): 9,000 (source-reported, not independently verified).
How is this ecommerce ops AI workflow structured?
Daily vendor data aggregation → Teacher searches unified shop → Algolia search ranks results → Rules and analytics refine experience → Teacher submits project order.