Constructor Search promises to improve conversions and revenue from onsite and in-app search, using search science and artificial intelligence,
Constructor's cloud-based search-as-a-service solution uses natural language processing, machine learning-enhanced results ranking, collaborative personalization, and merchant controls to power enterprise-grade onsite and in-app search.
Whether search results are optimized for relevance, revenue, conversions, conversations — or all of the above, Constructor says it enables site owners to transform search into a competitive advantage.
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Verified User
Vice-President in Product Management (51-200 employees employees)
Use Cases and Deployment Scope
We use Constructor.io Search to power our overall product discovery experience -- across browse, search, and search autocomplete. We also leverage the Constructor.io framework to power a product comparison feature.
Pros
Optimizes for business KPIs, not string matches, so merchandisers can focus on strategy instead of maintaining a dictionary.
Gives merchandisers control to curate the right customer experience per their expert understanding.
Customer/technical support during and after implementation.
Cons
Visibility of the personalization algorithm.
Exposing detailed analytics within the customer-facing dashboard.
"Top searches" available via API.
Most Important Features
Behaviorally-driven algorithm
Personalized results
Cognitive embeddings search results
Return on Investment
53% in revenue
7% lift in search usage
13% lift in search conversion rate
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