Ecommerce ops · Production

MadeiraMadeira enhances customer experience and boosts revenue with Algolia Search

The problem

MadeiraMadeira's existing search engine was too slow and insufficiently relevant for its expansive product catalog, undermining the digital-first customer journey the company depended on for growth.

Workflow diagram · grounded in source

Customer search initiated

trigger

“Algolia Search across search bars and category pages on the company's website and mobile app”

Algolia Search processes query

ai_action

“The platform helps us deliver fast and relevant search results, which significantly improves the customer experience and boosts conversion rates”

Dynamic Re-ranking tailors results

ai_action

“Dynamic Re-ranking to further improve relevance by tailoring search results to user behavior allowing it to deliver more targeted, intuitive experiences around popular items”

A/B testing validates ranking impact

validation

“A/B testing has demonstrated the value of Dynamic Re-ranking, we experimented with it on and off and saw a major decrease in click-through rates (CTR) and conversions (CVR) — and a huge drop in sales — for the period it was off”

Results and navigation served

output

“the company uses Algolia for navigation, autocomplete, and carousels on product pages”

Reported outcome

Adopting Algolia Search with Dynamic Re-ranking and A/B Testing improved click-throughs, conversions, and revenue, with A/B tests confirming that removing Dynamic Re-ranking caused a major decrease in CTR, CVR, and sales.

Reported metrics

Click-throughsincreasing click-throughs

Conversionsupping its conversions

Revenuegrowing revenue

CTR impact when Dynamic Re-ranking offmajor decrease in click-through rates (CTR)

Show all 6 reported metrics

click-throughsincreasing click-throughs

conversionsupping its conversions

revenuegrowing revenue

CTR impact when Dynamic Re-ranking offmajor decrease in click-through rates (CTR)

CVR impact when Dynamic Re-ranking offmajor decrease in conversions (CVR)

sales impact when Dynamic Re-ranking offhuge drop in sales

Reported stack

Algolia SearchDynamic Re-RankingQuery CategorizationA/B TestingAlgolia Recommend

Source

https://www.algolia.com/customers/madeiramadeira

Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Adopting Algolia Search with Dynamic Re-ranking and A/B Testing improved click-throughs, conversions, and revenue, with A/B tests confirming that removing Dynamic Re-ranking caused a major decrease in CTR, CVR, and sa…

What tools did this team use?

Algolia Search, Dynamic Re-Ranking, Query Categorization, A/B Testing, Algolia Recommend.

What results were reported?

Click-throughs: increasing click-throughs; Conversions: upping its conversions; Revenue: growing revenue; CTR impact when Dynamic Re-ranking off: major decrease in click-through rates (CTR) (source-reported, not independently verified).

How is this ecommerce ops AI workflow structured?

Customer search initiated → Algolia Search processes query → Dynamic Re-ranking tailors results → A/B testing validates ranking impact → Results and navigation served.