Case Study: Mathematica achieves higher engagement and 30% fewer no‑result searches with Coveo

Mathematica Policy Research - Customer Case Study

Mathematica, a research and consulting organization focused on improving public well‑being, faced a pressing search challenge when Google retired the Google Search Appliance: their legacy search produced frequent zero‑result queries, a dated interface, and poor internal/external discovery across content housed in the same Sitecore CMS. The team needed a modern, Sitecore‑compatible solution that could correct queries, surface relevant results, and streamline content management.

They implemented Coveo for Sitecore — a self‑learning insight engine that hooks into the Sitecore publishing pipeline, provides out‑of‑the‑box machine learning for relevance tuning and query suggestions, and creates a single index for intranet and public content. The result was easy, cost‑effective deployment, personalized experiences, fewer content gaps and measurable gains: +9.42% pageviews year‑over‑year, +10% time‑on‑page, and a 30% drop in searches without results over two months.

Mathematica Policy Research

Scott Freeman

Web Services Manager